Learning Depth from Focus in the Wild- Changyeon Won, Hae-Gon Jeon
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[DOI]
Learning-Based Point Cloud Registration for 6D Object Pose Estimation in the Real World- Zheng Dang, Lizhou Wang, Yu Guo, Mathieu Salzmann
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[DOI]
An End-to-End Transformer Model for Crowd Localization- Dingkang Liang, Wei Xu, Xiang Bai
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[DOI]
Few-Shot Single-View 3D Reconstruction with Memory Prior Contrastive Network- Zhen Xing, Yijiang Chen, Zhixin Ling, Xiangdong Zhou, Yu Xiang
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[DOI]
DID-M3D: Decoupling Instance Depth for Monocular 3D Object Detection- Liang Peng, Xiaopei Wu, Zheng Yang, Haifeng Liu, Deng Cai
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[DOI]
Adaptive Co-Teaching for Unsupervised Monocular Depth Estimation- Weisong Ren, Lijun Wang, Yongri Piao, Miao Zhang, Huchuan Lu, Ting Liu
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[DOI]
Fusing Local Similarities for Retrieval-Based 3D Orientation Estimation of Unseen Objects- Chen Zhao, Yinlin Hu, Mathieu Salzmann
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[DOI]
Lidar Point Cloud Guided Monocular 3D Object Detection- Liang Peng, Fei Liu, Zhengxu Yu, Senbo Yan, Dan Deng, Zheng Yang, Haifeng Liu, Deng Cai
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[DOI]
Structural Causal 3D Reconstruction- Weiyang Liu, Zhen Liu, Liam Paull, Adrian Weller, Bernhard Schölkopf
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[DOI]
3D Human Pose Estimation Using Möbius Graph Convolutional Networks- Niloofar Azizi, Horst Possegger, Emanuele Rodolà, Horst Bischof
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[DOI]
Learning to Train a Point Cloud Reconstruction Network without Matching- Tianxin Huang, Xuemeng Yang, Jiangning Zhang, Jinhao Cui, Hao Zou, Jun Chen, Xiangrui Zhao, Yong Liu
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[DOI]
PanoFormer: Panorama Transformer for Indoor 360° Depth Estimation- Zhijie Shen, Chunyu Lin, Kang Liao, Lang Nie, Zishuo Zheng, Yao Zhao
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[DOI]
Self-supervised Human Mesh Recovery with Cross-Representation Alignment- Xuan Gong, Meng Zheng, Benjamin Planche, Srikrishna Karanam, Terrence Chen, David Doermann, Ziyan Wu
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[DOI]
AlignSDF: Pose-Aligned Signed Distance Fields for Hand-Object Reconstruction- Zerui Chen, Yana Hasson, Cordelia Schmid, Ivan Laptev
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[DOI]
A Reliable Online Method for Joint Estimation of Focal Length and Camera Rotation- Yiming Qian, James H. Elder
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[DOI]
PS-NeRF: Neural Inverse Rendering for Multi-View Photometric Stereo- Wenqi Yang, Guanying Chen, Chaofeng Chen, Zhenfang Chen, Kwan-Yee K. Wong
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[DOI]
Share with Thy Neighbors: Single-View Reconstruction by Cross-Instance Consistency- Tom Monnier, Matthew Fisher, Alexei A. Efros, Mathieu Aubry
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[DOI]
Towards Comprehensive Representation Enhancement in Semantics-Guided Self-Supervised Monocular Depth Estimation- Jingyuan Ma, Xiangyu Lei, Nan Liu, Xian Zhao, Shiliang Pu
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[DOI]
AvatarCap: Animatable Avatar Conditioned Monocular Human Volumetric Capture- Zhe Li, Zerong Zheng, Hongwen Zhang, Chaonan Ji, Yebin Liu
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[DOI]
Cross-Attention of Disentangled Modalities for 3D Human Mesh Recovery with Transformers- Junhyeong Cho, Kim Youwang, Tae-Hyun Oh
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[DOI]
GeoRefine: Self-Supervised Online Depth Refinement for Accurate Dense Mapping- Pan Ji, Qingan Yan, Yuxin Ma, Yi Xu
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[DOI]
Multi-modal Masked Pre-training for Monocular Panoramic Depth Completion- Zhiqiang Yan, Xiang Li, Kun Wang, Zhenyu Zhang, Jun Li, Jian Yang
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[DOI]
GitNet: Geometric Prior-Based Transformation for Birds-Eye-View Segmentation- Shi Gong, Xiaoqing Ye, Xiao Tan, Jingdong Wang, Errui Ding, Yu Zhou, Xiang Bai
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[DOI]
Learning Visibility for Robust Dense Human Body Estimation- Chun-Han Yao, Jimei Yang, Duygu Ceylan, Yi Zhou, Yang Zhou, Ming-Hsuan Yang
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[DOI]
Towards High-Fidelity Single-View Holistic Reconstruction of Indoor Scenes- Haolin Liu, Yujian Zheng, Guanying Chen, Shuguang Cui, Xiaoguang Han
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[DOI]
CompNVS: Novel View Synthesis with Scene Completion- Zuoyue Li, Tianxing Fan, Zhenqiang Li, Zhaopeng Cui, Yoichi Sato, Marc Pollefeys, Martin R. Oswald
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[DOI]
SketchSampler: Sketch-Based 3D Reconstruction via View-Dependent Depth Sampling- Chenjian Gao, Qian Yu, Lu Sheng, Yi-Zhe Song, Dong Xu
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[DOI]
LocalBins: Improving Depth Estimation by Learning Local Distributions- Shariq Farooq Bhat, Ibraheem Alhashim, Peter Wonka
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[DOI]
2D GANs Meet Unsupervised Single-View 3D Reconstruction- Feng Liu, Xiaoming Liu
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[DOI]
InfiniteNature-Zero: Learning Perpetual View Generation of Natural Scenes from Single Images- Zhengqi Li, Qianqian Wang, Noah Snavely, Angjoo Kanazawa
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[DOI]
Semi-Supervised Single-View 3D Reconstruction via Prototype Shape Priors- Zhen Xing, Hengduo Li, Zuxuan Wu, Yu-Gang Jiang
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[DOI]
Bilateral Normal Integration- Xu Cao, Hiroaki Santo, Boxin Shi, Fumio Okura, Yasuyuki Matsushita
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[DOI]
S2Contact: Graph-Based Network for 3D Hand-Object Contact Estimation with Semi-Supervised Learning- Tze Ho Elden Tse, Zhongqun Zhang, Kwang In Kim, Aleš Leonardis, Feng Zheng, Hyung Jin Chang
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[DOI]
SC-wLS: Towards Interpretable Feed-Forward Camera Re-localization- Xin Wu, Hao Zhao, Shunkai Li, Yingdian Cao, Hongbin Zha
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[DOI]
FloatingFusion: Depth from ToF and Image-Stabilized Stereo Cameras- Andreas Meuleman, Hakyeong Kim, James Tompkin, Min H. Kim
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[DOI]
DELTAR: Depth Estimation from a Light-Weight ToF Sensor and RGB Image- Yijin Li, Xinyang Liu, Wenqi Dong, Han Zhou, Hujun Bao, Guofeng Zhang, Yinda Zhang, Zhaopeng Cui
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[DOI]
3D Room Layout Estimation from a Cubemap of Panorama Image via Deep Manhattan Hough Transform- Yining Zhao, Chao Wen, Zhou Xue, Yue Gao
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[DOI]
RBP-Pose: Residual Bounding Box Projection for Category-Level Pose Estimation- Ruida Zhang, Yan Di, Zhiqiang Lou, Fabian Manhardt, Federico Tombari, Xiangyang Ji
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[DOI]
Monocular 3D Object Reconstruction with GAN Inversion- Junzhe Zhang, Daxuan Ren, Zhongang Cai, Chai Kiat Yeo, Bo Dai, Chen Change Loy
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[DOI]
Map-Free Visual Relocalization: Metric Pose Relative to a Single Image- Eduardo Arnold, Jamie Wynn, Sara Vicente, Guillermo Garcia-Hernando, Aron Monszpart, Victor Prisacariu, Daniyar Turmukhambetov, Eric Brachmann
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[DOI]
Self-Distilled Feature Aggregation for Self-Supervised Monocular Depth Estimation- Zhengming Zhou, Qiulei Dong
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[DOI]
Planes vs. Chairs: Category-Guided 3D Shape Learning without Any 3D Cues- Zixuan Huang, Stefan Stojanov, Anh Thai, Varun Jampani, James M. Rehg
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[DOI]
MHR-Net: Multiple-Hypothesis Reconstruction of Non-rigid Shapes from 2D Views- Haitian Zeng, Xin Yu, Jiaxu Miao, Yi Yang
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[DOI]
Depth Map Decomposition for Monocular Depth Estimation- Jinyoung Jun, Jae-Han Lee, Chul Lee, Chang-Su Kim
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[DOI]
Monitored Distillation for Positive Congruent Depth Completion- Tian Yu Liu, Parth Agrawal, Allison Chen, Byung-Woo Hong, Alex Wong
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[DOI]
Resolution-Free Point Cloud Sampling Network with Data Distillation- Tianxin Huang, Jiangning Zhang, Jun Chen, Yuang Liu, Yong Liu
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[DOI]
Organic Priors in Non-rigid Structure from Motion- Suryansh Kumar, Luc Van Gool
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[DOI]
Perspective Flow Aggregation for Data-Limited 6D Object Pose Estimation- Yinlin Hu, Pascal Fua, Mathieu Salzmann
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[DOI]
DANBO: Disentangled Articulated Neural Body Representations via Graph Neural Networks- Shih-Yang Su, Timur Bagautdinov, Helge Rhodin
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[DOI]
"CHORE: Contact, Human and Object REconstruction from a Single RGB Image"- Xianghui Xie, Bharat Lal Bhatnagar, Gerard Pons-Moll
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[DOI]
Learned Vertex Descent: A New Direction for 3D Human Model Fitting- Enric Corona, Gerard Pons-Moll, Guillem Alenyà, Francesc Moreno-Noguer
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[DOI]
Self-Calibrating Photometric Stereo by Neural Inverse Rendering- Junxuan Li, Hongdong Li
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[DOI]
3D Clothed Human Reconstruction in the Wild- Gyeongsik Moon, Hyeongjin Nam, Takaaki Shiratori, Kyoung Mu Lee
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[DOI]
Directed Ray Distance Functions for 3D Scene Reconstruction- Nilesh Kulkarni, Justin Johnson, David F. Fouhey
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[DOI]
Object Level Depth Reconstruction for Category Level 6D Object Pose Estimation from Monocular RGB Image- Zhaoxin Fan, Zhenbo Song, Jian Xu, Zhicheng Wang, Kejian Wu, Hongyan Liu, Jun He
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[DOI]
Uncertainty Quantification in Depth Estimation via Constrained Ordinal Regression- Dongting Hu, Liuhua Peng, Tingjin Chu, Xiaoxing Zhang, Yinian Mao, Howard Bondell, Mingming Gong
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[DOI]
CostDCNet: Cost Volume Based Depth Completion for a Single RGB-D Image- Jaewon Kam, Jungeon Kim, Soongjin Kim, Jaesik Park, Seungyong Lee
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[DOI]
"ShAPO: Implicit Representations for Multi-Object Shape, Appearance, and Pose Optimization"- Muhammad Zubair Irshad, Sergey Zakharov, Rareș Ambruș, Thomas Kollar, Zsolt Kira, Adrien Gaidon
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[DOI]
3D Siamese Transformer Network for Single Object Tracking on Point Clouds- Le Hui, Lingpeng Wang, Linghua Tang, Kaihao Lan, Jin Xie, Jian Yang
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[DOI]
Object Wake-Up: 3D Object Rigging from a Single Image- Ji Yang, Xinxin Zuo, Sen Wang, Zhenbo Yu, Xingyu Li, Bingbing Ni, Minglun Gong, Li Cheng
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[DOI]
IntegratedPIFu: Integrated Pixel Aligned Implicit Function for Single-View Human Reconstruction- Kennard Yanting Chan, Guosheng Lin, Haiyu Zhao, Weisi Lin
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[DOI]
Realistic One-Shot Mesh-Based Head Avatars- Taras Khakhulin, Vanessa Sklyarova, Victor Lempitsky, Egor Zakharov
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[DOI]
A Kendall Shape Space Approach to 3D Shape Estimation from 2D Landmarks- Martha Paskin, Daniel Baum, Mason N. Dean, Christoph von Tycowicz
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[DOI]
Neural Light Field Estimation for Street Scenes with Differentiable Virtual Object Insertion- Zian Wang, Wenzheng Chen, David Acuna, Jan Kautz, Sanja Fidler
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[DOI]
Perspective Phase Angle Model for Polarimetric 3D Reconstruction- Guangcheng Chen, Li He, Yisheng Guan, Hong Zhang
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[DOI]
DeepShadow: Neural Shape from Shadow- Asaf Karnieli, Ohad Fried, Yacov Hel-Or
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[DOI]
Camera Auto-Calibration from the Steiner Conic of the Fundamental Matrix- Yu Liu, Hui Zhang
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[DOI]
Super-Resolution 3D Human Shape from a Single Low-Resolution Image- Marco Pesavento, Marco Volino, Adrian Hilton
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[DOI]
Minimal Neural Atlas: Parameterizing Complex Surfaces with Minimal Charts and Distortion- Weng Fei Low, Gim Hee Lee
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[DOI]
ExtrudeNet: Unsupervised Inverse Sketch-and-Extrude for Shape Parsing- Daxuan Ren, Jianmin Zheng, Jianfei Cai, Jiatong Li, Junzhe Zhang
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[DOI]
CATRE: Iterative Point Clouds Alignment for Category-Level Object Pose Refinement- Xingyu Liu, Gu Wang, Yi Li, Xiangyang Ji
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[DOI]
Optimization over Disentangled Encoding: Unsupervised Cross-Domain Point Cloud Completion via Occlusion Factor Manipulation- Jingyu Gong, Fengqi Liu, Jiachen Xu, Min Wang, Xin Tan, Zhizhong Zhang, Ran Yi, Haichuan Song, Yuan Xie, Lizhuang Ma
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[DOI]
Unsupervised Learning of 3D Semantic Keypoints with Mutual Reconstruction- Haocheng Yuan, Chen Zhao, Shichao Fan, Jiaxi Jiang, Jiaqi Yang
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[DOI]
MvDeCor: Multi-View Dense Correspondence Learning for Fine-Grained 3D Segmentation- Gopal Sharma, Kangxue Yin, Subhransu Maji, Evangelos Kalogerakis, Or Litany, Sanja Fidler
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[DOI]
SUPR: A Sparse Unified Part-Based Human Representation- Ahmed A. A. Osman, Timo Bolkart, Dimitrios Tzionas, Michael J. Black
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[DOI]
Revisiting Point Cloud Simplification: A Learnable Feature Preserving Approach- Rolandos Alexandros Potamias, Giorgos Bouritsas, Stefanos Zafeiriou
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[DOI]
Masked Autoencoders for Point Cloud Self-Supervised Learning- Yatian Pang, Wenxiao Wang, Francis E.H. Tay, Wei Liu, Yonghong Tian, Li Yuan
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[DOI]
Intrinsic Neural Fields: Learning Functions on Manifolds- Lukas Koestler, Daniel Grittner, Michael Moeller, Daniel Cremers, Zorah Lähner
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[DOI]
Skeleton-Free Pose Transfer for Stylized 3D Characters- Zhouyingcheng Liao, Jimei Yang, Jun Saito, Gerard Pons-Moll, Yang Zhou
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[DOI]
Masked Discrimination for Self-Supervised Learning on Point Clouds- Haotian Liu, Mu Cai, Yong Jae Lee
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[DOI]
FBNet: Feedback Network for Point Cloud Completion- Xuejun Yan, Hongyu Yan, Jingjing Wang, Hang Du, Zhihong Wu, Di Xie, Shiliang Pu, Li Lu
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[DOI]
Meta-Sampler: Almost-Universal yet Task-Oriented Sampling for Point Clouds- Ta-Ying Cheng, Qingyong Hu, Qian Xie, Niki Trigoni, Andrew Markham
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[DOI]
A Level Set Theory for Neural Implicit Evolution under Explicit Flows- Ishit Mehta, Manmohan Chandraker, Ravi Ramamoorthi
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[DOI]
Efficient Point Cloud Analysis Using Hilbert Curve- Wanli Chen, Xinge Zhu, Guojin Chen, Bei Yu
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[DOI]
TOCH: Spatio-Temporal Object-to-Hand Correspondence for Motion Refinement- Keyang Zhou, Bharat Lal Bhatnagar, Jan Eric Lenssen, Gerard Pons-Moll
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[DOI]
LaTeRF: Label and Text Driven Object Radiance Fields- Ashkan Mirzaei, Yash Kant, Jonathan Kelly, Igor Gilitschenski
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[DOI]
MeshMAE: Masked Autoencoders for 3D Mesh Data Analysis- Yaqian Liang, Shanshan Zhao, Baosheng Yu, Jing Zhang, Fazhi He
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[DOI]
Unsupervised Deep Multi-Shape Matching- Dongliang Cao, Florian Bernard
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[DOI]
Texturify: Generating Textures on 3D Shape Surfaces- Yawar Siddiqui, Justus Thies, Fangchang Ma, Qi Shan, Matthias Nießner, Angela Dai
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[DOI]
Autoregressive 3D Shape Generation via Canonical Mapping- An-Chieh Cheng, Xueting Li, Sifei Liu, Min Sun, Ming-Hsuan Yang
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[DOI]
PointTree: Transformation-Robust Point Cloud Encoder with Relaxed K-D Trees- Jun-Kun Chen, Yu-Xiong Wang
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[DOI]
UNIF: United Neural Implicit Functions for Clothed Human Reconstruction and Animation- Shenhan Qian, Jiale Xu, Ziwei Liu, Liqian Ma, Shenghua Gao
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[DOI]
PRIF: Primary Ray-Based Implicit Function- Brandon Y. Feng, Yinda Zhang, Danhang Tang, Ruofei Du, Amitabh Varshney
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[DOI]
Point Cloud Domain Adaptation via Masked Local 3D Structure Prediction- Hanxue Liang, Hehe Fan, Zhiwen Fan, Yi Wang, Tianlong Chen, Yu Cheng, Zhangyang Wang
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[DOI]
CLIP-Actor: Text-Driven Recommendation and Stylization for Animating Human Meshes- Kim Youwang, Kim Ji-Yeon, Tae-Hyun Oh
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[DOI]
PlaneFormers: From Sparse View Planes to 3D Reconstruction- Samir Agarwala, Linyi Jin, Chris Rockwell, David F. Fouhey
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[DOI]
Learning Implicit Templates for Point-Based Clothed Human Modeling- Siyou Lin, Hongwen Zhang, Zerong Zheng, Ruizhi Shao, Yebin Liu
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[DOI]
Exploring the Devil in Graph Spectral Domain for 3D Point Cloud Attacks- Qianjiang Hu, Daizong Liu, Wei Hu
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[DOI]
Structure-Aware Editable Morphable Model for 3D Facial Detail Animation and Manipulation- Jingwang Ling, Zhibo Wang, Ming Lu, Quan Wang, Chen Qian, Feng Xu
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[DOI]
MoFaNeRF: Morphable Facial Neural Radiance Field- Yiyu Zhuang, Hao Zhu, Xusen Sun, Xun Cao
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[DOI]
PointInst3D: Segmenting 3D Instances by Points- Tong He, Wei Yin, Chunhua Shen, Anton van den Hengel
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[DOI]
Cross-Modal 3D Shape Generation and Manipulation- Zezhou Cheng, Menglei Chai, Jian Ren, Hsin-Ying Lee, Kyle Olszewski, Zeng Huang, Subhransu Maji, Sergey Tulyakov
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[DOI]
Latent Partition Implicit with Surface Codes for 3D Representation- Chao Chen, Yu-Shen Liu, Zhizhong Han
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[DOI]
Implicit Field Supervision for Robust Non-rigid Shape Matching- Ramana Sundararaman, Gautam Pai, Maks Ovsjanikov
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[DOI]
Learning Self-Prior for Mesh Denoising Using Dual Graph Convolutional Networks- Shota Hattori, Tatsuya Yatagawa, Yutaka Ohtake, Hiromasa Suzuki
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[DOI]
diffConv: Analyzing Irregular Point Clouds with an Irregular View- Manxi Lin, Aasa Feragen
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[DOI]
PD-Flow: A Point Cloud Denoising Framework with Normalizing Flows- Aihua Mao, Zihui Du, Yu-Hui Wen, Jun Xuan, Yong-Jin Liu
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[DOI]
SeedFormer: Patch Seeds Based Point Cloud Completion with Upsample Transformer- Haoran Zhou, Yun Cao, Wenqing Chu, Junwei Zhu, Tong Lu, Ying Tai, Chengjie Wang
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[DOI]
DeepMend: Learning Occupancy Functions to Represent Shape for Repair- Nikolas Lamb, Sean Banerjee, Natasha Kholgade Banerjee
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[DOI]
A Repulsive Force Unit for Garment Collision Handling in Neural Networks- Qingyang Tan, Yi Zhou, Tuanfeng Wang, Duygu Ceylan, Xin Sun, Dinesh Manocha
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[DOI]
Shape-Pose Disentanglement Using SE(3)-Equivariant Vector Neurons- Oren Katzir, Dani Lischinski, Daniel Cohen-Or
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[DOI]
3D Equivariant Graph Implicit Functions- Yunlu Chen, Basura Fernando, Hakan Bilen, Matthias Nießner, Efstratios Gavves
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[DOI]
PatchRD: Detail-Preserving Shape Completion by Learning Patch Retrieval and Deformation- Bo Sun, Vladimir G. Kim, Noam Aigerman, Qixing Huang, Siddhartha Chaudhuri
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[DOI]
3D Shape Sequence of Human Comparison and Classification Using Current and Varifolds- Emery Pierson, Mohamed Daoudi, Sylvain Arguillere
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[DOI]
Conditional-Flow NeRF: Accurate 3D Modelling with Reliable Uncertainty Quantification- Jianxiong Shen, Antonio Agudo, Francesc Moreno-Noguer, Adria Ruiz
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[DOI]
Unsupervised Pose-Aware Part Decomposition for Man-Made Articulated Objects- Yuki Kawana, Yusuke Mukuta, Tatsuya Harada
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[DOI]
MeshUDF: Fast and Differentiable Meshing of Unsigned Distance Field Networks- Benoît Guillard, Federico Stella, Pascal Fua
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[DOI]
SPE-Net: Boosting Point Cloud Analysis via Rotation Robustness Enhancement- Zhaofan Qiu, Yehao Li, Yu Wang, Yingwei Pan, Ting Yao, Tao Mei
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[DOI]
The Shape Part Slot Machine: Contact-Based Reasoning for Generating 3D Shapes from Parts- Kai Wang, Paul Guerrero, Vladimir G. Kim, Siddhartha Chaudhuri, Minhyuk Sung, Daniel Ritchie
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[DOI]
Spatiotemporal Self-Attention Modeling with Temporal Patch Shift for Action Recognition- Wangmeng Xiang, Chao Li, Biao Wang, Xihan Wei, Xian-Sheng Hua, Lei Zhang
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[DOI]
Proposal-Free Temporal Action Detection via Global Segmentation Mask Learning- Sauradip Nag, Xiatian Zhu, Yi-Zhe Song, Tao Xiang
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[DOI]
Semi-Supervised Temporal Action Detection with Proposal-Free Masking- Sauradip Nag, Xiatian Zhu, Yi-Zhe Song, Tao Xiang
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[DOI]
Zero-Shot Temporal Action Detection via Vision-Language Prompting- Sauradip Nag, Xiatian Zhu, Yi-Zhe Song, Tao Xiang
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[DOI]
CycDA: Unsupervised Cycle Domain Adaptation to Learn from Image to Video- Wei Lin, Anna Kukleva, Kunyang Sun, Horst Possegger, Hilde Kuehne, Horst Bischof
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[DOI]
S2N: Suppression-Strengthen Network for Event-Based Recognition under Variant Illuminations- Zengyu Wan, Yang Wang, Ganchao Tan, Yang Cao, Zheng-Jun Zha
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[DOI]
CMD: Self-Supervised 3D Action Representation Learning with Cross-Modal Mutual Distillation- Yunyao Mao, Wengang Zhou, Zhenbo Lu, Jiajun Deng, Houqiang Li
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[DOI]
Expanding Language-Image Pretrained Models for General Video Recognition- Bolin Ni, Houwen Peng, Minghao Chen, Songyang Zhang, Gaofeng Meng, Jianlong Fu, Shiming Xiang, Haibin Ling
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[DOI]
Hunting Group Clues with Transformers for Social Group Activity Recognition- Masato Tamura, Rahul Vishwakarma, Ravigopal Vennelakanti
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[DOI]
Contrastive Positive Mining for Unsupervised 3D Action Representation Learning- Haoyuan Zhang, Yonghong Hou, Wenjing Zhang, Wanqing Li
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[DOI]
Target-Absent Human Attention- Zhibo Yang, Sounak Mondal, Seoyoung Ahn, Gregory Zelinsky, Minh Hoai, Dimitris Samaras
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[DOI]
Uncertainty-Based Spatial-Temporal Attention for Online Action Detection- Hongji Guo, Zhou Ren, Yi Wu, Gang Hua, Qiang Ji
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[DOI]
Iwin: Human-Object Interaction Detection via Transformer with Irregular Windows- Danyang Tu, Xiongkuo Min, Huiyu Duan, Guodong Guo, Guangtao Zhai, Wei Shen
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[DOI]
Rethinking Zero-Shot Action Recognition: Learning from Latent Atomic Actions- Yijun Qian, Lijun Yu, Wenhe Liu, Alexander G. Hauptmann
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[DOI]
Mining Cross-Person Cues for Body-Part Interactiveness Learning in HOI Detection- Xiaoqian Wu, Yong-Lu Li, Xinpeng Liu, Junyi Zhang, Yuzhe Wu, Cewu Lu
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[DOI]
Collaborating Domain-Shared and Target-Specific Feature Clustering for Cross-Domain 3D Action Recognition- Qinying Liu, Zilei Wang
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[DOI]
Is Appearance Free Action Recognition Possible?- Filip Ilic, Thomas Pock, Richard P. Wildes
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[DOI]
Learning Spatial-Preserved Skeleton Representations for Few-Shot Action Recognition- Ning Ma, Hongyi Zhang, Xuhui Li, Sheng Zhou, Zhen Zhang, Jun Wen, Haifeng Li, Jingjun Gu, Jiajun Bu
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[DOI]
Dual-Evidential Learning for Weakly-Supervised Temporal Action Localization- Mengyuan Chen, Junyu Gao, Shicai Yang, Changsheng Xu
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[DOI]
Global-Local Motion Transformer for Unsupervised Skeleton-Based Action Learning- Boeun Kim, Hyung Jin Chang, Jungho Kim, Jin Young Choi
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[DOI]
AdaFocusV3: On Unified Spatial-Temporal Dynamic Video Recognition- Yulin Wang, Yang Yue, Xinhong Xu, Ali Hassani, Victor Kulikov, Nikita Orlov, Shiji Song, Humphrey Shi, Gao Huang
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[DOI]
Panoramic Human Activity Recognition- Ruize Han, Haomin Yan, Jiacheng Li, Songmiao Wang, Wei Feng, Song Wang
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[DOI]
Delving into Details: Synopsis-to-Detail Networks for Video Recognition- Shuxian Liang, Xu Shen, Jianqiang Huang, Xian-Sheng Hua
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[DOI]
A Generalized & Robust Framework for Timestamp Supervision in Temporal Action Segmentation- Rahul Rahaman, Dipika Singhania, Alexandre Thiery, Angela Yao
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[DOI]
Few-Shot Action Recognition with Hierarchical Matching and Contrastive Learning- Sipeng Zheng, Shizhe Chen, Qin Jin
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[DOI]
PrivHAR: Recognizing Human Actions from Privacy-Preserving Lens- Carlos Hinojosa, Miguel Marquez, Henry Arguello, Ehsan Adeli, Li Fei-Fei, Juan Carlos Niebles
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[DOI]
Scale-Aware Spatio-Temporal Relation Learning for Video Anomaly Detection- Guoqiu Li, Guanxiong Cai, Xingyu Zeng, Rui Zhao
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[DOI]
Compound Prototype Matching for Few-Shot Action Recognition- Yifei Huang, Lijin Yang, Yoichi Sato
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[DOI]
Continual 3D Convolutional Neural Networks for Real-Time Processing of Videos- Lukas Hedegaard, Alexandros Iosifidis
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[DOI]
Dynamic Spatio-Temporal Specialization Learning for Fine-Grained Action Recognition- Tianjiao Li, Lin Geng Foo, Qiuhong Ke, Hossein Rahmani, Anran Wang, Jinghua Wang, Jun Liu
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[DOI]
Dynamic Local Aggregation Network with Adaptive Clusterer for Anomaly Detection- Zhiwei Yang, Peng Wu, Jing Liu, Xiaotao Liu
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[DOI]
Action Quality Assessment with Temporal Parsing Transformer- Yang Bai, Desen Zhou, Songyang Zhang, Jian Wang, Errui Ding, Yu Guan, Yang Long, Jingdong Wang
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[DOI]
Entry-Flipped Transformer for Inference and Prediction of Participant Behavior- Bo Hu, Tat-Jen Cham
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[DOI]
Pairwise Contrastive Learning Network for Action Quality Assessment- Mingzhe Li, Hong-Bo Zhang, Qing Lei, Zongwen Fan, Jinghua Liu, Ji-Xiang Du
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[DOI]
Geometric Features Informed Multi-Person Human-Object Interaction Recognition in Videos- Tanqiu Qiao, Qianhui Men, Frederick W. B. Li, Yoshiki Kubotani, Shigeo Morishima, Hubert P. H. Shum
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[DOI]
ActionFormer: Localizing Moments of Actions with Transformers- Chen-Lin Zhang, Jianxin Wu, Yin Li
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[DOI]
SocialVAE: Human Trajectory Prediction Using Timewise Latents- Pei Xu, Jean-Bernard Hayet, Ioannis Karamouzas
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[DOI]
Shape Matters: Deformable Patch Attack- Zhaoyu Chen, Bo Li, Shuang Wu, Jianghe Xu, Shouhong Ding, Wenqiang Zhang
- [pdf]
[DOI]
Frequency Domain Model Augmentation for Adversarial Attack- Yuyang Long, Qilong Zhang, Boheng Zeng, Lianli Gao, Xianglong Liu, Jian Zhang, Jingkuan Song
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[DOI]
Prior-Guided Adversarial Initialization for Fast Adversarial Training- Xiaojun Jia, Yong Zhang, Xingxing Wei, Baoyuan Wu, Ke Ma, Jue Wang, Xiaochun Cao
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[DOI]
Enhanced Accuracy and Robustness via Multi-Teacher Adversarial Distillation- Shiji Zhao, Jie Yu, Zhenlong Sun, Bo Zhang, Xingxing Wei
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[DOI]
LGV: Boosting Adversarial Example Transferability from Large Geometric Vicinity- Martin Gubri, Maxime Cordy, Mike Papadakis, Yves Le Traon, Koushik Sen
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[DOI]
A Large-Scale Multiple-Objective Method for Black-Box Attack against Object Detection- Siyuan Liang, Longkang Li, Yanbo Fan, Xiaojun Jia, Jingzhi Li, Baoyuan Wu, Xiaochun Cao
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[DOI]
GradAuto: Energy-Oriented Attack on Dynamic Neural Networks- Jianhong Pan, Qichen Zheng, Zhipeng Fan, Hossein Rahmani, Qiuhong Ke, Jun Liu
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[DOI]
A Spectral View of Randomized Smoothing under Common Corruptions: Benchmarking and Improving Certified Robustness- Jiachen Sun, Akshay Mehra, Bhavya Kailkhura, Pin-Yu Chen, Dan Hendrycks, Jihun Hamm, Z. Morley Mao
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[DOI]
Improving Adversarial Robustness of 3D Point Cloud Classification Models- Guanlin Li, Guowen Xu, Han Qiu, Ruan He, Jiwei Li, Tianwei Zhang
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[DOI]
Learning Extremely Lightweight and Robust Model with Differentiable Constraints on Sparsity and Condition Number- Xian Wei, Yangyu Xu, Yanhui Huang, Hairong Lv, Hai Lan, Mingsong Chen, Xuan Tang
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[DOI]
RIBAC: Towards Robust and Imperceptible Backdoor Attack against Compact DNN- Huy Phan, Cong Shi, Yi Xie, Tianfang Zhang, Zhuohang Li, Tianming Zhao, Jian Liu, Yan Wang, Yingying Chen, Bo Yuan
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[DOI]
Boosting Transferability of Targeted Adversarial Examples via Hierarchical Generative Networks- Xiao Yang, Yinpeng Dong, Tianyu Pang, Hang Su, Jun Zhu
- [pdf]
[DOI]
Adaptive Image Transformations for Transfer-Based Adversarial Attack- Zheng Yuan, Jie Zhang, Shiguang Shan
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[DOI]
Generative Multiplane Images: Making a 2D GAN 3D-Aware- Xiaoming Zhao, Fangchang Ma, David Güera, Zhile Ren, Alexander G. Schwing, Alex Colburn
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[DOI]
AdvDO: Realistic Adversarial Attacks for Trajectory Prediction- Yulong Cao, Chaowei Xiao, Anima Anandkumar, Danfei Xu, Marco Pavone
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[DOI]
Adversarial Contrastive Learning via Asymmetric InfoNCE- Qiying Yu, Jieming Lou, Xianyuan Zhan, Qizhang Li, Wangmeng Zuo, Yang Liu, Jingjing Liu
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[DOI]
One Size Does NOT Fit All: Data-Adaptive Adversarial Training- Shuo Yang, Chang Xu
- [pdf]
[DOI]
UniCR: Universally Approximated Certified Robustness via Randomized Smoothing- Hanbin Hong, Binghui Wang, Yuan Hong
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[DOI]
Hardly Perceptible Trojan Attack against Neural Networks with Bit Flips- Jiawang Bai, Kuofeng Gao, Dihong Gong, Shu-Tao Xia, Zhifeng Li, Wei Liu
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[DOI]
Robust Network Architecture Search via Feature Distortion Restraining- Yaguan Qian, Shenghui Huang, Bin Wang, Xiang Ling, Xiaohui Guan, Zhaoquan Gu, Shaoning Zeng, Wujie Zhou, Haijiang Wang
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[DOI]
SecretGen: Privacy Recovery on Pre-trained Models via Distribution Discrimination- Zhuowen Yuan, Fan Wu, Yunhui Long, Chaowei Xiao, Bo Li
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[DOI]
Triangle Attack: A Query-Efficient Decision-Based Adversarial Attack- Xiaosen Wang, Zeliang Zhang, Kangheng Tong, Dihong Gong, Kun He, Zhifeng Li, Wei Liu
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[DOI]
Data-Free Backdoor Removal Based on Channel Lipschitzness- Runkai Zheng, Rongjun Tang, Jianze Li, Li Liu
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[DOI]
Black-Box Dissector: Towards Erasing-Based Hard-Label Model Stealing Attack- Yixu Wang, Jie Li, Hong Liu, Yan Wang, Yongjian Wu, Feiyue Huang, Rongrong Ji
- [pdf]
[DOI]
Learning Energy-Based Models with Adversarial Training- Xuwang Yin, Shiying Li, Gustavo K. Rohde
- [pdf]
[DOI]
Adversarial Label Poisoning Attack on Graph Neural Networks via Label Propagation- Ganlin Liu, Xiaowei Huang, Xinping Yi
- [pdf]
[DOI]
Revisiting Outer Optimization in Adversarial Training- Ali Dabouei, Fariborz Taherkhani, Sobhan Soleymani, Nasser M. Nasrabadi
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[DOI]
Zero-Shot Attribute Attacks on Fine-Grained Recognition Models- Nasim Shafiee, Ehsan Elhamifar
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[DOI]
Towards Effective and Robust Neural Trojan Defenses via Input Filtering- Kien Do, Haripriya Harikumar, Hung Le, Dung Nguyen, Truyen Tran, Santu Rana, Dang Nguyen, Willy Susilo, Svetha Venkatesh
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[DOI]
Scaling Adversarial Training to Large Perturbation Bounds- Sravanti Addepalli, Samyak Jain, Gaurang Sriramanan, R. Venkatesh Babu
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[DOI]
Exploiting the Local Parabolic Landscapes of Adversarial Losses to Accelerate Black-Box Adversarial Attack- Hoang Tran, Dan Lu, Guannan Zhang
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[DOI]
Generative Domain Adaptation for Face Anti-Spoofing- Qianyu Zhou, Ke-Yue Zhang, Taiping Yao, Ran Yi, Kekai Sheng, Shouhong Ding, Lizhuang Ma
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[DOI]
MetaGait: Learning to Learn an Omni Sample Adaptive Representation for Gait Recognition- Huanzhang Dou, Pengyi Zhang, Wei Su, Yunlong Yu, Xi Li
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[DOI]
GaitEdge: Beyond Plain End-to-End Gait Recognition for Better Practicality- Junhao Liang, Chao Fan, Saihui Hou, Chuanfu Shen, Yongzhen Huang, Shiqi Yu
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[DOI]
UIA-ViT: Unsupervised Inconsistency-Aware Method Based on Vision Transformer for Face Forgery Detection- Wanyi Zhuang, Qi Chu, Zhentao Tan, Qiankun Liu, Haojie Yuan, Changtao Miao, Zixiang Luo, Nenghai Yu
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[DOI]
Effective Presentation Attack Detection Driven by Face Related Task- Wentian Zhang, Haozhe Liu, Feng Liu, Raghavendra Ramachandra, Christoph Busch
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[DOI]
PPT: Token-Pruned Pose Transformer for Monocular and Multi-View Human Pose Estimation- Haoyu Ma, Zhe Wang, Yifei Chen, Deying Kong, Liangjian Chen, Xingwei Liu, Xiangyi Yan, Hao Tang, Xiaohui Xie
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[DOI]
AvatarPoser: Articulated Full-Body Pose Tracking from Sparse Motion Sensing- Jiaxi Jiang, Paul Streli, Huajian Qiu, Andreas Fender, Larissa Laich, Patrick Snape, Christian Holz
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[DOI]
P-STMO: Pre-trained Spatial Temporal Many-to-One Model for 3D Human Pose Estimation- Wenkang Shan, Zhenhua Liu, Xinfeng Zhang, Shanshe Wang, Siwei Ma, Wen Gao
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[DOI]
D&D: Learning Human Dynamics from Dynamic Camera- Jiefeng Li, Siyuan Bian, Chao Xu, Gang Liu, Gang Yu, Cewu Lu
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[DOI]
Explicit Occlusion Reasoning for Multi-Person 3D Human Pose Estimation- Qihao Liu, Yi Zhang, Song Bai, Alan Yuille
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[DOI]
COUCH: Towards Controllable Human-Chair Interactions- Xiaohan Zhang, Bharat Lal Bhatnagar, Sebastian Starke, Vladimir Guzov, Gerard Pons-Moll
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[DOI]
Identity-Aware Hand Mesh Estimation and Personalization from RGB Images- Deying Kong, Linguang Zhang, Liangjian Chen, Haoyu Ma, Xiangyi Yan, Shanlin Sun, Xingwei Liu, Kun Han, Xiaohui Xie
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[DOI]
C3P: Cross-Domain Pose Prior Propagation for Weakly Supervised 3D Human Pose Estimation- Cunlin Wu, Yang Xiao, Boshen Zhang, Mingyang Zhang, Zhiguo Cao, Joey Tianyi Zhou
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[DOI]
Pose-NDF: Modeling Human Pose Manifolds with Neural Distance Fields- Garvita Tiwari, Dimitrije Antić, Jan Eric Lenssen, Nikolaos Sarafianos, Tony Tung, Gerard Pons-Moll
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[DOI]
CLIFF: Carrying Location Information in Full Frames into Human Pose and Shape Estimation- Zhihao Li, Jianzhuang Liu, Zhensong Zhang, Songcen Xu, Youliang Yan
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[DOI]
DeciWatch: A Simple Baseline for 10× Efficient 2D and 3D Pose Estimation- Ailing Zeng, Xuan Ju, Lei Yang, Ruiyuan Gao, Xizhou Zhu, Bo Dai, Qiang Xu
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[DOI]
SmoothNet: A Plug-and-Play Network for Refining Human Poses in Videos- Ailing Zeng, Lei Yang, Xuan Ju, Jiefeng Li, Jianyi Wang, Qiang Xu
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[DOI]
PoseTrans: A Simple yet Effective Pose Transformation Augmentation for Human Pose Estimation- Wentao Jiang, Sheng Jin, Wentao Liu, Chen Qian, Ping Luo, Si Liu
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[DOI]
Multi-Person 3D Pose and Shape Estimation via Inverse Kinematics and Refinement- Junuk Cha, Muhammad Saqlain, GeonU Kim, Mingyu Shin, Seungryul Baek
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[DOI]
Overlooked Poses Actually Make Sense: Distilling Privileged Knowledge for Human Motion Prediction- Xiaoning Sun, Qiongjie Cui, Huaijiang Sun, Bin Li, Weiqing Li, Jianfeng Lu
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[DOI]
Structural Triangulation: A Closed-Form Solution to Constrained 3D Human Pose Estimation- Zhuo Chen, Xu Zhao, Xiaoyue Wan
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[DOI]
Audio-Driven Stylized Gesture Generation with Flow-Based Model- Sheng Ye, Yu-Hui Wen, Yanan Sun, Ying He, Ziyang Zhang, Yaoyuan Wang, Weihua He, Yong-Jin Liu
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[DOI]
Self-Constrained Inference Optimization on Structural Groups for Human Pose Estimation- Zhehan Kan, Shuoshuo Chen, Zeng Li, Zhihai He
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[DOI]
UnrealEgo: A New Dataset for Robust Egocentric 3D Human Motion Capture- Hiroyasu Akada, Jian Wang, Soshi Shimada, Masaki Takahashi, Christian Theobalt, Vladislav Golyanik
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[DOI]
Skeleton-Parted Graph Scattering Networks for 3D Human Motion Prediction- Maosen Li, Siheng Chen, Zijing Zhang, Lingxi Xie, Qi Tian, Ya Zhang
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[DOI]
Rethinking Keypoint Representations: Modeling Keypoints and Poses as Objects for Multi-Person Human Pose Estimation- William McNally, Kanav Vats, Alexander Wong, John McPhee
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[DOI]
VirtualPose: Learning Generalizable 3D Human Pose Models from Virtual Data- Jiajun Su, Chunyu Wang, Xiaoxuan Ma, Wenjun Zeng, Yizhou Wang
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[DOI]
Poseur: Direct Human Pose Regression with Transformers- Weian Mao, Yongtao Ge, Chunhua Shen, Zhi Tian, Xinlong Wang, Zhibin Wang, Anton van den Hengel
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[DOI]
SimCC: A Simple Coordinate Classification Perspective for Human Pose Estimation- Yanjie Li, Sen Yang, Peidong Liu, Shoukui Zhang, Yunxiao Wang, Zhicheng Wang, Wankou Yang, Shu-Tao Xia
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[DOI]
Regularizing Vector Embedding in Bottom-Up Human Pose Estimation- Haixin Wang, Lu Zhou, Yingying Chen, Ming Tang, Jinqiao Wang
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[DOI]
A Visual Navigation Perspective for Category-Level Object Pose Estimation- Jiaxin Guo, Fangxun Zhong, Rong Xiong, Yun-Hui Liu, Yue Wang, Yiyi Liao
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[DOI]
Faster VoxelPose: Real-Time 3D Human Pose Estimation by Orthographic Projection- Hang Ye, Wentao Zhu, Chunyu Wang, Rujie Wu, Yizhou Wang
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[DOI]
Learning to Fit Morphable Models- Vasileios Choutas, Federica Bogo, Jingjing Shen, Julien Valentin
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[DOI]
EgoBody: Human Body Shape and Motion of Interacting People from Head-Mounted Devices- Siwei Zhang, Qianli Ma, Yan Zhang, Zhiyin Qian, Taein Kwon, Marc Pollefeys, Federica Bogo, Siyu Tang
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[DOI]
Grasp’D: Differentiable Contact-Rich Grasp Synthesis for Multi-Fingered Hands- Dylan Turpin, Liquan Wang, Eric Heiden, Yun-Chun Chen, Miles Macklin, Stavros Tsogkas, Sven Dickinson, Animesh Garg
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[DOI]
AutoAvatar: Autoregressive Neural Fields for Dynamic Avatar Modeling- Ziqian Bai, Timur Bagautdinov, Javier Romero, Michael Zollhöfer, Ping Tan, Shunsuke Saito
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[DOI]
Deep Radial Embedding for Visual Sequence Learning- Yuecong Min, Peiqi Jiao, Yanan Li, Xiaotao Wang, Lei Lei, Xiujuan Chai, Xilin Chen
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[DOI]
SAGA: Stochastic Whole-Body Grasping with Contact- Yan Wu, Jiahao Wang, Yan Zhang, Siwei Zhang, Otmar Hilliges, Fisher Yu, Siyu Tang
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[DOI]
Neural Capture of Animatable 3D Human from Monocular Video- Gusi Te, Xiu Li, Xiao Li, Jinglu Wang, Wei Hu, Yan Lu
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[DOI]
General Object Pose Transformation Network from Unpaired Data- Yukun Su, Guosheng Lin, Ruizhou Sun, Qingyao Wu
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[DOI]
Compositional Human-Scene Interaction Synthesis with Semantic Control- Kaifeng Zhao, Shaofei Wang, Yan Zhang, Thabo Beeler, Siyu Tang
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[DOI]
PressureVision: Estimating Hand Pressure from a Single RGB Image- Patrick Grady, Chengcheng Tang, Samarth Brahmbhatt, Christopher D. Twigg, Chengde Wan, James Hays, Charles C. Kemp
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[DOI]
PoseScript: 3D Human Poses from Natural Language- Ginger Delmas, Philippe Weinzaepfel, Thomas Lucas, Francesc Moreno-Noguer, Grégory Rogez
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[DOI]
DProST: Dynamic Projective Spatial Transformer Network for 6D Pose Estimation- Jaewoo Park, Nam Ik Cho
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[DOI]
3D Interacting Hand Pose Estimation by Hand De-Occlusion and Removal- Hao Meng, Sheng Jin, Wentao Liu, Chen Qian, Mengxiang Lin, Wanli Ouyang, Ping Luo
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[DOI]
Pose for Everything: Towards Category-Agnostic Pose Estimation- Lumin Xu, Sheng Jin, Wang Zeng, Wentao Liu, Chen Qian, Wanli Ouyang, Ping Luo, Xiaogang Wang
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[DOI]
PoseGPT: Quantization-Based 3D Human Motion Generation and Forecasting- Thomas Lucas, Fabien Baradel, Philippe Weinzaepfel, Grégory Rogez
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[DOI]
DH-AUG: DH Forward Kinematics Model Driven Augmentation for 3D Human Pose Estimation- Linzhi Huang, Jiahao Liang, Weihong Deng
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[DOI]
Estimating Spatially-Varying Lighting in Urban Scenes with Disentangled Representation- Jiajun Tang, Yongjie Zhu, Haoyu Wang, Jun Hoong Chan, Si Li, Boxin Shi
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[DOI]
Boosting Event Stream Super-Resolution with a Recurrent Neural Network- Wenming Weng, Yueyi Zhang, Zhiwei Xiong
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[DOI]
Projective Parallel Single-Pixel Imaging to Overcome Global Illumination in 3D Structure Light Scanning- Yuxi Li, Huijie Zhao, Hongzhi Jiang, Xudong Li
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[DOI]
Semantic-Sparse Colorization Network for Deep Exemplar-Based Colorization- Yunpeng Bai, Chao Dong, Zenghao Chai, Andong Wang, Zhengzhuo Xu, Chun Yuan
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[DOI]
Practical and Scalable Desktop-Based High-Quality Facial Capture- Alexandros Lattas, Yiming Lin, Jayanth Kannan, Ekin Ozturk, Luca Filipi, Giuseppe Claudio Guarnera, Gaurav Chawla, Abhijeet Ghosh
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[DOI]
FAST-VQA: Efficient End-to-End Video Quality Assessment with Fragment Sampling- Haoning Wu, Chaofeng Chen, Jingwen Hou, Liang Liao, Annan Wang, Wenxiu Sun, Qiong Yan, Weisi Lin
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[DOI]
Physically-Based Editing of Indoor Scene Lighting from a Single Image- Zhengqin Li, Jia Shi, Sai Bi, Rui Zhu, Kalyan Sunkavalli, Miloš Hašan, Zexiang Xu, Ravi Ramamoorthi, Manmohan Chandraker
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[DOI]
LEDNet: Joint Low-Light Enhancement and Deblurring in the Dark- Shangchen Zhou, Chongyi Li, Chen Change Loy
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[DOI]
MPIB: An MPI-Based Bokeh Rendering Framework for Realistic Partial Occlusion Effects- Juewen Peng, Jianming Zhang, Xianrui Luo, Hao Lu, Ke Xian, Zhiguo Cao
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[DOI]
Real-RawVSR: Real-World Raw Video Super-Resolution with a Benchmark Dataset- Huanjing Yue, Zhiming Zhang, Jingyu Yang
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[DOI]
Transform Your Smartphone into a DSLR Camera: Learning the ISP in the Wild- Ardhendu Shekhar Tripathi, Martin Danelljan, Samarth Shukla, Radu Timofte, Luc Van Gool
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[DOI]
Learning Deep Non-Blind Image Deconvolution without Ground Truths- Yuhui Quan, Zhuojie Chen, Huan Zheng, Hui Ji
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[DOI]
NEST: Neural Event Stack for Event-Based Image Enhancement- Minggui Teng, Chu Zhou, Hanyue Lou, Boxin Shi
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[DOI]
Editable Indoor Lighting Estimation- Henrique Weber, Mathieu Garon, Jean-François Lalonde
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[DOI]
Fast Two-Step Blind Optical Aberration Correction- Thomas Eboli, Jean-Michel Morel, Gabriele Facciolo
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[DOI]
Seeing Far in the Dark with Patterned Flash- Zhanghao Sun, Jian Wang, Yicheng Wu, Shree Nayar
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[DOI]
PseudoClick: Interactive Image Segmentation with Click Imitation- Qin Liu, Meng Zheng, Benjamin Planche, Srikrishna Karanam, Terrence Chen, Marc Niethammer, Ziyan Wu
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[DOI]
CT2: Colorization Transformer via Color Tokens- Shuchen Weng, Jimeng Sun, Yu Li, Si Li, Boxin Shi
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[DOI]
Simple Baselines for Image Restoration- Liangyu Chen, Xiaojie Chu, Xiangyu Zhang, Jian Sun
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[DOI]
Spike Transformer: Monocular Depth Estimation for Spiking Camera- Jiyuan Zhang, Lulu Tang, Zhaofei Yu, Jiwen Lu, Tiejun Huang
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[DOI]
Improving Image Restoration by Revisiting Global Information Aggregation- Xiaojie Chu, Liangyu Chen, Chengpeng Chen, Xin Lu
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[DOI]
Data Association between Event Streams and Intensity Frames under Diverse Baselines- Dehao Zhang, Qiankun Ding, Peiqi Duan, Chu Zhou, Boxin Shi
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[DOI]
D2HNet: Joint Denoising and Deblurring with Hierarchical Network for Robust Night Image Restoration- Yuzhi Zhao, Yongzhe Xu, Qiong Yan, Dingdong Yang, Xuehui Wang, Lai-Man Po
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[DOI]
Learning Graph Neural Networks for Image Style Transfer- Yongcheng Jing, Yining Mao, Yiding Yang, Yibing Zhan, Mingli Song, Xinchao Wang, Dacheng Tao
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[DOI]
DeepPS2: Revisiting Photometric Stereo Using Two Differently Illuminated Images- Ashish Tiwari, Shanmuganathan Raman
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[DOI]
Instance Contour Adjustment via Structure-Driven CNN- Shuchen Weng, Yi Wei, Ming-Ching Chang, Boxin Shi
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[DOI]
Synthesizing Light Field Video from Monocular Video- Shrisudhan Govindarajan, Prasan Shedligeri, Sarah, Kaushik Mitra
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[DOI]
Human-Centric Image Cropping with Partition-Aware and Content-Preserving Features- Bo Zhang, Li Niu, Xing Zhao, Liqing Zhang
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[DOI]
DeMFI: Deep Joint Deblurring and Multi-Frame Interpolation with Flow-Guided Attentive Correlation and Recursive Boosting- Jihyong Oh, Munchurl Kim
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[DOI]
Neural Image Representations for Multi-Image Fusion and Layer Separation- Seonghyeon Nam, Marcus A. Brubaker, Michael S. Brown
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[DOI]
Bringing Rolling Shutter Images Alive with Dual Reversed Distortion- Zhihang Zhong, Mingdeng Cao, Xiao Sun, Zhirong Wu, Zhongyi Zhou, Yinqiang Zheng, Stephen Lin, Imari Sato
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[DOI]
FILM: Frame Interpolation for Large Motion- Fitsum Reda, Janne Kontkanen, Eric Tabellion, Deqing Sun, Caroline Pantofaru, Brian Curless
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[DOI]
Video Interpolation by Event-Driven Anisotropic Adjustment of Optical Flow- Song Wu, Kaichao You, Weihua He, Chen Yang, Yang Tian, Yaoyuan Wang, Ziyang Zhang, Jianxing Liao
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[DOI]
EvAC3D: From Event-Based Apparent Contours to 3D Models via Continuous Visual Hulls- Ziyun Wang, Kenneth Chaney, Kostas Daniilidis
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[DOI]
DCCF: Deep Comprehensible Color Filter Learning Framework for High-Resolution Image Harmonization- Ben Xue, Shenghui Ran, Quan Chen, Rongfei Jia, Binqiang Zhao, Xing Tang
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[DOI]
SelectionConv: Convolutional Neural Networks for Non-Rectilinear Image Data- David Hart, Michael Whitney, Bryan Morse
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[DOI]
Spatial-Separated Curve Rendering Network for Efficient and High-Resolution Image Harmonization- Jingtang Liang, Xiaodong Cun, Chi-Man Pun, Jue Wang
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[DOI]
BigColor: Colorization Using a Generative Color Prior for Natural Images- Geonung Kim, Kyoungkook Kang, Seongtae Kim, Hwayoon Lee, Sehoon Kim, Jonghyun Kim, Seung-Hwan Baek, Sunghyun Cho
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[DOI]
CADyQ: Content-Aware Dynamic Quantization for Image Super-Resolution- Cheeun Hong, Sungyong Baik, Heewon Kim, Seungjun Nah, Kyoung Mu Lee
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[DOI]
Deep Semantic Statistics Matching (D2SM) Denoising Network- Kangfu Mei, Vishal M. Patel, Rui Huang
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[DOI]
3D Scene Inference from Transient Histograms- Sacha Jungerman, Atul Ingle, Yin Li, Mohit Gupta
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[DOI]
Neural Space-Filling Curves- Hanyu Wang, Kamal Gupta, Larry Davis, Abhinav Shrivastava
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[DOI]
Exposure-Aware Dynamic Weighted Learning for Single-Shot HDR Imaging- An Gia Vien, Chul Lee
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[DOI]
Seeing through a Black Box: Toward High-Quality Terahertz Imaging via Subspace-and-Attention Guided Restoration- Weng-Tai Su, Yi-Chun Hung, Po-Jen Yu, Shang-Hua Yang, Chia-Wen Lin
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[DOI]
Tomography of Turbulence Strength Based on Scintillation Imaging- Nir Shaul, Yoav Y. Schechner
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[DOI]
Realistic Blur Synthesis for Learning Image Deblurring- Jaesung Rim, Geonung Kim, Jungeon Kim, Junyong Lee, Seungyong Lee, Sunghyun Cho
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[DOI]
Learning Phase Mask for Privacy-Preserving Passive Depth Estimation- Zaid Tasneem, Giovanni Milione, Yi-Hsuan Tsai, Xiang Yu, Ashok Veeraraghavan, Manmohan Chandraker, Francesco Pittaluga
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[DOI]
LWGNet – Learned Wirtinger Gradients for Fourier Ptychographic Phase Retrieval- Atreyee Saha, Salman S. Khan, Sagar Sehrawat, Sanjana S. Prabhu, Shanti Bhattacharya, Kaushik Mitra
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[DOI]
PANDORA: Polarization-Aided Neural Decomposition of Radiance- Akshat Dave, Yongyi Zhao, Ashok Veeraraghavan
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[DOI]
HuMMan: Multi-modal 4D Human Dataset for Versatile Sensing and Modeling- Zhongang Cai, Daxuan Ren, Ailing Zeng, Zhengyu Lin, Tao Yu, Wenjia Wang, Xiangyu Fan, Yang Gao, Yifan Yu, Liang Pan, Fangzhou Hong, Mingyuan Zhang, Chen Change Loy, Lei Yang, Ziwei Liu
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[DOI]
DVS-Voltmeter: Stochastic Process-Based Event Simulator for Dynamic Vision Sensors- Songnan Lin, Ye Ma, Zhenhua Guo, Bihan Wen
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[DOI]
Benchmarking Omni-Vision Representation through the Lens of Visual Realms- Yuanhan Zhang, Zhenfei Yin, Jing Shao, Ziwei Liu
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[DOI]
BEAT: A Large-Scale Semantic and Emotional Multi-modal Dataset for Conversational Gestures Synthesis- Haiyang Liu, Zihao Zhu, Naoya Iwamoto, Yichen Peng, Zhengqing Li, You Zhou, Elif Bozkurt, Bo Zheng
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[DOI]
Neuromorphic Data Augmentation for Training Spiking Neural Networks- Yuhang Li, Youngeun Kim, Hyoungseob Park, Tamar Geller, Priyadarshini Panda
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[DOI]
CelebV-HQ: A Large-Scale Video Facial Attributes Dataset- Hao Zhu, Wayne Wu, Wentao Zhu, Liming Jiang, Siwei Tang, Li Zhang, Ziwei Liu, Chen Change Loy
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[DOI]
MovieCuts: A New Dataset and Benchmark for Cut Type Recognition- Alejandro Pardo, Fabian Caba, Juan León Alcázar, Ali Thabet, Bernard Ghanem
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[DOI]
LaMAR: Benchmarking Localization and Mapping for Augmented Reality- Paul-Edouard Sarlin, Mihai Dusmanu, Johannes L. Schönberger, Pablo Speciale, Lukas Gruber, Viktor Larsson, Ondrej Miksik, Marc Pollefeys
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[DOI]
"Unitail: Detecting, Reading, and Matching in Retail Scene"- Fangyi Chen, Han Zhang, Zaiwang Li, Jiachen Dou, Shentong Mo, Hao Chen, Yongxin Zhang, Uzair Ahmed, Chenchen Zhu, Marios Savvides
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[DOI]
Not Just Streaks: Towards Ground Truth for Single Image Deraining- Yunhao Ba, Howard Zhang, Ethan Yang, Akira Suzuki, Arnold Pfahnl, Chethan Chinder Chandrappa, Celso M. de Melo, Suya You, Stefano Soatto, Alex Wong, Achuta Kadambi
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[DOI]
ECCV Caption: Correcting False Negatives by Collecting Machine-and-Human-Verified Image-Caption Associations for MS-COCO- Sanghyuk Chun, Wonjae Kim, Song Park, Minsuk Chang, Seong Joon Oh
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[DOI]
MOTCOM: The Multi-Object Tracking Dataset Complexity Metric- Malte Pedersen, Joakim Bruslund Haurum, Patrick Dendorfer, Thomas B. Moeslund
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[DOI]
How to Synthesize a Large-Scale and Trainable Micro-Expression Dataset?- Yuchi Liu, Zhongdao Wang, Tom Gedeon, Liang Zheng
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[DOI]
A Real World Dataset for Multi-View 3D Reconstruction- Rakesh Shrestha, Siqi Hu, Minghao Gou, Ziyuan Liu, Ping Tan
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[DOI]
REALY: Rethinking the Evaluation of 3D Face Reconstruction- Zenghao Chai, Haoxian Zhang, Jing Ren, Di Kang, Zhengzhuo Xu, Xuefei Zhe, Chun Yuan, Linchao Bao
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[DOI]
"Capturing, Reconstructing, and Simulating: The UrbanScene3D Dataset"- Liqiang Lin, Yilin Liu, Yue Hu, Xingguang Yan, Ke Xie, Hui Huang
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[DOI]
3D CoMPaT: Composition of Materials on Parts of 3D Things- Yuchen Li, Ujjwal Upadhyay, Habib Slim, Tezuesh Varshney, Ahmed Abdelreheem, Arpit Prajapati, Suhail Pothigara, Peter Wonka, Mohamed Elhoseiny
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[DOI]
"PartImageNet: A Large, High-Quality Dataset of Parts"- Ju He, Shuo Yang, Shaokang Yang, Adam Kortylewski, Xiaoding Yuan, Jie-Neng Chen, Shuai Liu, Cheng Yang, Qihang Yu, Alan Yuille
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[DOI]
A-OKVQA: A Benchmark for Visual Question Answering Using World Knowledge- Dustin Schwenk, Apoorv Khandelwal, Christopher Clark, Kenneth Marino, Roozbeh Mottaghi
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[DOI]
OOD-CV: A Benchmark for Robustness to Out-of-Distribution Shifts of Individual Nuisances in Natural Images- Bingchen Zhao, Shaozuo Yu, Wufei Ma, Mingxin Yu, Shenxiao Mei, Angtian Wang, Ju He, Alan Yuille, Adam Kortylewski
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[DOI]
Facial Depth and Normal Estimation Using Single Dual-Pixel Camera- Minjun Kang, Jaesung Choe, Hyowon Ha, Hae-Gon Jeon, Sunghoon Im, In So Kweon, Kuk-Jin Yoon
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[DOI]
The Anatomy of Video Editing: A Dataset and Benchmark Suite for AI-Assisted Video Editing- Dawit Mureja Argaw, Fabian Caba, Joon-Young Lee, Markus Woodson, In So Kweon
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[DOI]
StyleBabel: Artistic Style Tagging and Captioning- Dan Ruta, Andrew Gilbert, Pranav Aggarwal, Naveen Marri, Ajinkya Kale, Jo Briggs, Chris Speed, Hailin Jin, Baldo Faieta, Alex Filipkowski, Zhe Lin, John Collomosse
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[DOI]
PANDORA: A Panoramic Detection Dataset for Object with Orientation- Hang Xu, Qiang Zhao, Yike Ma, Xiaodong Li, Peng Yuan, Bailan Feng, Chenggang Yan, Feng Dai
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[DOI]
FS-COCO: Towards Understanding of Freehand Sketches of Common Objects in Context- Pinaki Nath Chowdhury, Aneeshan Sain, Ayan Kumar Bhunia, Tao Xiang, Yulia Gryaditskaya, Yi-Zhe Song
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[DOI]
Exploring Fine-Grained Audiovisual Categorization with the SSW60 Dataset- Grant Van Horn, Rui Qian, Kimberly Wilber, Hartwig Adam, Oisin Mac Aodha, Serge Belongie
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[DOI]
The Caltech Fish Counting Dataset: A Benchmark for Multiple-Object Tracking and Counting- Justin Kay, Peter Kulits, Suzanne Stathatos, Siqi Deng, Erik Young, Sara Beery, Grant Van Horn, Pietro Perona
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[DOI]
A Dataset for Interactive Vision-Language Navigation with Unknown Command Feasibility- Andrea Burns, Deniz Arsan, Sanjna Agrawal, Ranjitha Kumar, Kate Saenko, Bryan A. Plummer
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[DOI]
BRACE: The Breakdancing Competition Dataset for Dance Motion Synthesis- Davide Moltisanti, Jinyi Wu, Bo Dai, Chen Change Loy
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[DOI]
Dress Code: High-Resolution Multi-Category Virtual Try-On- Davide Morelli, Matteo Fincato, Marcella Cornia, Federico Landi, Fabio Cesari, Rita Cucchiara
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[DOI]
A Data-Centric Approach for Improving Ambiguous Labels with Combined Semi-Supervised Classification and Clustering- Lars Schmarje, Monty Santarossa, Simon-Martin Schröder, Claudius Zelenka, Rainer Kiko, Jenny Stracke, Nina Volkmann, Reinhard Koch
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[DOI]
ClearPose: Large-Scale Transparent Object Dataset and Benchmark- Xiaotong Chen, Huijie Zhang, Zeren Yu, Anthony Opipari, Odest Chadwicke Jenkins
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[DOI]
When Deep Classifiers Agree: Analyzing Correlations between Learning Order and Image Statistics- Iuliia Pliushch, Martin Mundt, Nicolas Lupp, Visvanathan Ramesh
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[DOI]
AnimeCeleb: Large-Scale Animation CelebHeads Dataset for Head Reenactment- Kangyeol Kim, Sunghyun Park, Jaeseong Lee, Sunghyo Chung, Junsoo Lee, Jaegul Choo
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[DOI]
MUGEN: A Playground for Video-Audio-Text Multimodal Understanding and GENeration- Thomas Hayes, Songyang Zhang, Xi Yin, Guan Pang, Sasha Sheng, Harry Yang, Songwei Ge, Qiyuan Hu, Devi Parikh
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[DOI]
A Dense Material Segmentation Dataset for Indoor and Outdoor Scene Parsing- Paul Upchurch, Ransen Niu
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[DOI]
MimicME: A Large Scale Diverse 4D Database for Facial Expression Analysis- Athanasios Papaioannou, Baris Gecer, Shiyang Cheng, Grigorios G. Chrysos, Jiankang Deng, Eftychia Fotiadou, Christos Kampouris, Dimitrios Kollias, Stylianos Moschoglou, Kritaphat Songsri-In, Stylianos Ploumpis, George Trigeorgis, Panagiotis Tzirakis, Evangelos Ververas, Yuxiang Zhou, Allan Ponniah, Anastasios Roussos, Stefanos Zafeiriou
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[DOI]
"Delving into Universal Lesion Segmentation: Method, Dataset, and Benchmark"- Yu Qiu, Jing Xu
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[DOI]
Large Scale Real-World Multi-person Tracking- Bing Shuai, Alessandro Bergamo, Uta Büchler, Andrew Berneshawi, Alyssa Boden, Joseph Tighe
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[DOI]
D2-TPred: Discontinuous Dependency for Trajectory Prediction under Traffic Lights- Yuzhen Zhang, Wentong Wang, Weizhi Guo, Pei Lv, Mingliang Xu, Wei Chen, Dinesh Manocha
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[DOI]
The Missing Link: Finding Label Relations across Datasets- Jasper Uijlings, Thomas Mensink, Vittorio Ferrari
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[DOI]
Learning Omnidirectional Flow in 360° Video via Siamese Representation- Keshav Bhandari, Bin Duan, Gaowen Liu, Hugo Latapie, Ziliang Zong, Yan Yan
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[DOI]
VizWiz-FewShot: Locating Objects in Images Taken by People with Visual Impairments- Yu-Yun Tseng, Alexander Bell, Danna Gurari
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[DOI]
TRoVE: Transforming Road Scene Datasets into Photorealistic Virtual Environments- Shubham Dokania, Anbumani Subramanian, Manmohan Chandraker, C.V. Jawahar
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[DOI]
Trapped in Texture Bias? A Large Scale Comparison of Deep Instance Segmentation- Johannes Theodoridis, Jessica Hofmann, Johannes Maucher, Andreas Schilling
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[DOI]
Deformable Feature Aggregation for Dynamic Multi-modal 3D Object Detection- Zehui Chen, Zhenyu Li, Shiquan Zhang, Liangji Fang, Qinhong Jiang, Feng Zhao
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[DOI]
WeLSA: Learning to Predict 6D Pose from Weakly Labeled Data Using Shape Alignment- Shishir Reddy Vutukur, Ivan Shugurov, Benjamin Busam, Andreas Hutter, Slobodan Ilic
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[DOI]
Graph R-CNN: Towards Accurate 3D Object Detection with Semantic-Decorated Local Graph- Honghui Yang, Zili Liu, Xiaopei Wu, Wenxiao Wang, Wei Qian, Xiaofei He, Deng Cai
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[DOI]
MPPNet: Multi-Frame Feature Intertwining with Proxy Points for 3D Temporal Object Detection- Xuesong Chen, Shaoshuai Shi, Benjin Zhu, Ka Chun Cheung, Hang Xu, Hongsheng Li
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[DOI]
Long-Tail Detection with Effective Class-Margins- Jang Hyun Cho, Philipp Krähenbühl
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[DOI]
Semi-Supervised Monocular 3D Object Detection by Multi-View Consistency- Qing Lian, Yanbo Xu, Weilong Yao, Yingcong Chen, Tong Zhang
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[DOI]
PTSEFormer: Progressive Temporal-Spatial Enhanced TransFormer towards Video Object Detection- Han Wang, Jun Tang, Xiaodong Liu, Shanyan Guan, Rong Xie, Li Song
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[DOI]
BEVFormer: Learning Bird’s-Eye-View Representation from Multi-Camera Images via Spatiotemporal Transformers- Zhiqi Li, Wenhai Wang, Hongyang Li, Enze Xie, Chonghao Sima, Tong Lu, Yu Qiao, Jifeng Dai
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[DOI]
Category-Level 6D Object Pose and Size Estimation Using Self-Supervised Deep Prior Deformation Networks- Jiehong Lin, Zewei Wei, Changxing Ding, Kui Jia
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[DOI]
Dense Teacher: Dense Pseudo-Labels for Semi-Supervised Object Detection- Hongyu Zhou, Zheng Ge, Songtao Liu, Weixin Mao, Zeming Li, Haiyan Yu, Jian Sun
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[DOI]
Point-to-Box Network for Accurate Object Detection via Single Point Supervision- Pengfei Chen, Xuehui Yu, Xumeng Han, Najmul Hassan, Kai Wang, Jiachen Li, Jian Zhao, Humphrey Shi, Zhenjun Han, Qixiang Ye
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[DOI]
Domain Adaptive Hand Keypoint and Pixel Localization in the Wild- Takehiko Ohkawa, Yu-Jhe Li, Qichen Fu, Ryosuke Furuta, Kris M. Kitani, Yoichi Sato
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[DOI]
Towards Data-Efficient Detection Transformers- Wen Wang, Jing Zhang, Yang Cao, Yongliang Shen, Dacheng Tao
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[DOI]
Open-Vocabulary DETR with Conditional Matching- Yuhang Zang, Wei Li, Kaiyang Zhou, Chen Huang, Chen Change Loy
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[DOI]
Prediction-Guided Distillation for Dense Object Detection- Chenhongyi Yang, Mateusz Ochal, Amos Storkey, Elliot J. Crowley
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[DOI]
Multimodal Object Detection via Probabilistic Ensembling- Yi-Ting Chen, Jinghao Shi, Zelin Ye, Christoph Mertz, Deva Ramanan, Shu Kong
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[DOI]
Exploiting Unlabeled Data with Vision and Language Models for Object Detection- Shiyu Zhao, Zhixing Zhang, Samuel Schulter, Long Zhao, Vijay Kumar B G, Anastasis Stathopoulos, Manmohan Chandraker, Dimitris N. Metaxas
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[DOI]
CPO: Change Robust Panorama to Point Cloud Localization- Junho Kim, Hojun Jang, Changwoon Choi, Young Min Kim
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[DOI]
INT: Towards Infinite-Frames 3D Detection with an Efficient Framework- Jianyun Xu, Zhenwei Miao, Da Zhang, Hongyu Pan, Kaixuan Liu, Peihan Hao, Jun Zhu, Zhengyang Sun, Hongmin Li, Xin Zhan
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[DOI]
End-to-End Weakly Supervised Object Detection with Sparse Proposal Evolution- Mingxiang Liao, Fang Wan, Yuan Yao, Zhenjun Han, Jialing Zou, Yuze Wang, Bailan Feng, Peng Yuan, Qixiang Ye
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[DOI]
Calibration-Free Multi-View Crowd Counting- Qi Zhang, Antoni B. Chan
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[DOI]
Unsupervised Domain Adaptation for Monocular 3D Object Detection via Self-Training- Zhenyu Li, Zehui Chen, Ang Li, Liangji Fang, Qinhong Jiang, Xianming Liu, Junjun Jiang
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[DOI]
SuperLine3D: Self-Supervised Line Segmentation and Description for LiDAR Point Cloud- Xiangrui Zhao, Sheng Yang, Tianxin Huang, Jun Chen, Teng Ma, Mingyang Li, Yong Liu
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[DOI]
Exploring Plain Vision Transformer Backbones for Object Detection- Yanghao Li, Hanzi Mao, Ross Girshick, Kaiming He
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[DOI]
Adversarially-Aware Robust Object Detector- Ziyi Dong, Pengxu Wei, Liang Lin
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[DOI]
HEAD: HEtero-Assists Distillation for Heterogeneous Object Detectors- Luting Wang, Xiaojie Li, Yue Liao, Zeren Jiang, Jianlong Wu, Fei Wang, Chen Qian, Si Liu
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[DOI]
You Should Look at All Objects- Zhenchao Jin, Dongdong Yu, Luchuan Song, Zehuan Yuan, Lequan Yu
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[DOI]
Detecting Twenty-Thousand Classes Using Image-Level Supervision- Xingyi Zhou, Rohit Girdhar, Armand Joulin, Philipp Krähenbühl, Ishan Misra
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[DOI]
DCL-Net: Deep Correspondence Learning Network for 6D Pose Estimation- Hongyang Li, Jiehong Lin, Kui Jia
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[DOI]
Monocular 3D Object Detection with Depth from Motion- Tai Wang, Jiangmiao Pang, Dahua Lin
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[DOI]
DISP6D: Disentangled Implicit Shape and Pose Learning for Scalable 6D Pose Estimation- Yilin Wen, Xiangyu Li, Hao Pan, Lei Yang, Zheng Wang, Taku Komura, Wenping Wang
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[DOI]
Distilling Object Detectors with Global Knowledge- Sanli Tang, Zhongyu Zhang, Zhanzhan Cheng, Jing Lu, Yunlu Xu, Yi Niu, Fan He
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[DOI]
Unifying Visual Perception by Dispersible Points Learning- Jianming Liang, Guanglu Song, Biao Leng, Yu Liu
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[DOI]
PseCo: Pseudo Labeling and Consistency Training for Semi-Supervised Object Detection- Gang Li, Xiang Li, Yujie Wang, Yichao Wu, Ding Liang, Shanshan Zhang
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[DOI]
Exploring Resolution and Degradation Clues As Self-Supervised Signal for Low Quality Object Detection- Ziteng Cui, Yingying Zhu, Lin Gu, Guo-Jun Qi, Xiaoxiao Li, Renrui Zhang, Zenghui Zhang, Tatsuya Harada
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[DOI]
Robust Category-Level 6D Pose Estimation with Coarse-to-Fine Rendering of Neural Features- Wufei Ma, Angtian Wang, Alan Yuille, Adam Kortylewski
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[DOI]
"Translation, Scale and Rotation: Cross-Modal Alignment Meets RGB-Infrared Vehicle Detection"- Maoxun Yuan, Yinyan Wang, Xingxing Wei
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[DOI]
RFLA: Gaussian Receptive Field Based Label Assignment for Tiny Object Detection- Chang Xu, Jinwang Wang, Wen Yang, Huai Yu, Lei Yu, Gui-Song Xia
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[DOI]
Rethinking IoU-Based Optimization for Single-Stage 3D Object Detection- Hualian Sheng, Sijia Cai, Na Zhao, Bing Deng, Jianqiang Huang, Xian-Sheng Hua, Min-Jian Zhao, Gim Hee Lee
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[DOI]
TD-Road: Top-Down Road Network Extraction with Holistic Graph Construction- Yang He, Ravi Garg, Amber Roy Chowdhury
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[DOI]
Multi-faceted Distillation of Base-Novel Commonality for Few-Shot Object Detection- Shuang Wu, Wenjie Pei, Dianwen Mei, Fanglin Chen, Jiandong Tian, Guangming Lu
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[DOI]
PointCLM: A Contrastive Learning-Based Framework for Multi-Instance Point Cloud Registration- Mingzhi Yuan, Zhihao Li, Qiuye Jin, Xinrong Chen, Manning Wang
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[DOI]
Weakly Supervised Object Localization via Transformer with Implicit Spatial Calibration- Haotian Bai, Ruimao Zhang, Jiong Wang, Xiang Wan
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[DOI]
MTTrans: Cross-Domain Object Detection with Mean Teacher Transformer- Jinze Yu, Jiaming Liu, Xiaobao Wei, Haoyi Zhou, Yohei Nakata, Denis Gudovskiy, Tomoyuki Okuno, Jianxin Li, Kurt Keutzer, Shanghang Zhang
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[DOI]
Multi-Domain Multi-Definition Landmark Localization for Small Datasets- David Ferman, Gaurav Bharaj
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[DOI]
DEVIANT: Depth EquiVarIAnt NeTwork for Monocular 3D Object Detection- Abhinav Kumar, Garrick Brazil, Enrique Corona, Armin Parchami, Xiaoming Liu
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[DOI]
Label-Guided Auxiliary Training Improves 3D Object Detector- Yaomin Huang, Xinmei Liu, Yichen Zhu, Zhiyuan Xu, Chaomin Shen, Zhengping Che, Guixu Zhang, Yaxin Peng, Feifei Feng, Jian Tang
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[DOI]
PromptDet: Towards Open-Vocabulary Detection Using Uncurated Images- Chengjian Feng, Yujie Zhong, Zequn Jie, Xiangxiang Chu, Haibing Ren, Xiaolin Wei, Weidi Xie, Lin Ma
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[DOI]
Densely Constrained Depth Estimator for Monocular 3D Object Detection- Yingyan Li, Yuntao Chen, Jiawei He, Zhaoxiang Zhang
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[DOI]
Polarimetric Pose Prediction- Daoyi Gao, Yitong Li, Patrick Ruhkamp, Iuliia Skobleva, Magdalena Wysocki, HyunJun Jung, Pengyuan Wang, Arturo Guridi, Benjamin Busam
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[DOI]
DFNet: Enhance Absolute Pose Regression with Direct Feature Matching- Shuai Chen, Xinghui Li, Zirui Wang, Victor Adrian Prisacariu
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[DOI]
Cornerformer: Purifying Instances for Corner-Based Detectors- Haoran Wei, Xin Chen, Lingxi Xie, Qi Tian
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[DOI]
PillarNet: Real-Time and High-Performance Pillar-Based 3D Object Detection- Guangsheng Shi, Ruifeng Li, Chao Ma
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[DOI]
Robust Object Detection with Inaccurate Bounding Boxes- Chengxin Liu, Kewei Wang, Hao Lu, Zhiguo Cao, Ziming Zhang
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[DOI]
Efficient Decoder-Free Object Detection with Transformers- Peixian Chen, Mengdan Zhang, Yunhang Shen, Kekai Sheng, Yuting Gao, Xing Sun, Ke Li, Chunhua Shen
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[DOI]
Cross-Modality Knowledge Distillation Network for Monocular 3D Object Detection- Yu Hong, Hang Dai, Yong Ding
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[DOI]
ReAct: Temporal Action Detection with Relational Queries- Dingfeng Shi, Yujie Zhong, Qiong Cao, Jing Zhang, Lin Ma, Jia Li, Dacheng Tao
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[DOI]
Towards Accurate Active Camera Localization- Qihang Fang, Yingda Yin, Qingnan Fan, Fei Xia, Siyan Dong, Sheng Wang, Jue Wang, Leonidas J. Guibas, Baoquan Chen
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[DOI]
Camera Pose Auto-Encoders for Improving Pose Regression- Yoli Shavit, Yosi Keller
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[DOI]
Improving the Intra-Class Long-Tail in 3D Detection via Rare Example Mining- Chiyu Max Jiang, Mahyar Najibi, Charles R. Qi, Yin Zhou, Dragomir Anguelov
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[DOI]
Bagging Regional Classification Activation Maps for Weakly Supervised Object Localization- Lei Zhu, Qian Chen, Lujia Jin, Yunfei You, Yanye Lu
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[DOI]
UC-OWOD: Unknown-Classified Open World Object Detection- Zhiheng Wu, Yue Lu, Xingyu Chen, Zhengxing Wu, Liwen Kang, Junzhi Yu
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[DOI]
RayTran: 3D Pose Estimation and Shape Reconstruction of Multiple Objects from Videos with Ray-Traced Transformers- Michał J. Tyszkiewicz, Kevis-Kokitsi Maninis, Stefan Popov, Vittorio Ferrari
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[DOI]
GTCaR: Graph Transformer for Camera Re-Localization- Xinyi Li, Haibin Ling
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[DOI]
3D Object Detection with a Self-Supervised Lidar Scene Flow Backbone- Emeç Erçelik, Ekim Yurtsever, Mingyu Liu, Zhijie Yang, Hanzhen Zhang, Pınar Topçam, Maximilian Listl, Yılmaz Kaan Çaylı, Alois Knoll
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[DOI]
Open Vocabulary Object Detection with Pseudo Bounding-Box Labels- Mingfei Gao, Chen Xing, Juan Carlos Niebles, Junnan Li, Ran Xu, Wenhao Liu, Caiming Xiong
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[DOI]
Few-Shot Object Detection by Knowledge Distillation Using Bag-of-Visual-Words Representations- Wenjie Pei, Shuang Wu, Dianwen Mei, Fanglin Chen, Jiandong Tian, Guangming Lu
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[DOI]
SALISA: Saliency-Based Input Sampling for Efficient Video Object Detection- Babak Ehteshami Bejnordi, Amirhossein Habibian, Fatih Porikli, Amir Ghodrati
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[DOI]
ECO-TR: Efficient Correspondences Finding via Coarse-to-Fine Refinement- Dongli Tan, Jiang-Jiang Liu, Xingyu Chen, Chao Chen, Ruixin Zhang, Yunhang Shen, Shouhong Ding, Rongrong Ji
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[DOI]
Vote from the Center: 6 DoF Pose Estimation in RGB-D Images by Radial Keypoint Voting- Yangzheng Wu, Mohsen Zand, Ali Etemad, Michael Greenspan
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[DOI]
Long-Tailed Instance Segmentation Using Gumbel Optimized Loss- Konstantinos Panagiotis Alexandridis, Jiankang Deng, Anh Nguyen, Shan Luo
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[DOI]
DetMatch: Two Teachers Are Better than One for Joint 2D and 3D Semi-Supervised Object Detection- Jinhyung Park, Chenfeng Xu, Yiyang Zhou, Masayoshi Tomizuka, Wei Zhan
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[DOI]
ObjectBox: From Centers to Boxes for Anchor-Free Object Detection- Mohsen Zand, Ali Etemad, Michael Greenspan
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[DOI]
Is Geometry Enough for Matching in Visual Localization?- Qunjie Zhou, Sérgio Agostinho, Aljoša Ošep, Laura Leal-Taixé
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[DOI]
SWFormer: Sparse Window Transformer for 3D Object Detection in Point Clouds- Pei Sun, Mingxing Tan, Weiyue Wang, Chenxi Liu, Fei Xia, Zhaoqi Leng, Dragomir Anguelov
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[DOI]
PCR-CG: Point Cloud Registration via Deep Explicit Color and Geometry- Yu Zhang, Junle Yu, Xiaolin Huang, Wenhui Zhou, Ji Hou
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[DOI]
GLAMD: Global and Local Attention Mask Distillation for Object Detectors- Younho Jang, Wheemyung Shin, Jinbeom Kim, Simon Woo, Sung-Ho Bae
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[DOI]
FCAF3D: Fully Convolutional Anchor-Free 3D Object Detection- Danila Rukhovich, Anna Vorontsova, Anton Konushin
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[DOI]
Video Anomaly Detection by Solving Decoupled Spatio-Temporal Jigsaw Puzzles- Guodong Wang, Yunhong Wang, Jie Qin, Dongming Zhang, Xiuguo Bao, Di Huang
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[DOI]
Class-Agnostic Object Detection with Multi-modal Transformer- Muhammad Maaz, Hanoona Rasheed, Salman Khan, Fahad Shahbaz Khan, Rao Muhammad Anwer, Ming-Hsuan Yang
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[DOI]
Enhancing Multi-modal Features Using Local Self-Attention for 3D Object Detection- Hao Li, Zehan Zhang, Xian Zhao, Yulong Wang, Yuxi Shen, Shiliang Pu, Hui Mao
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[DOI]
Object Detection As Probabilistic Set Prediction- Georg Hess, Christoffer Petersson, Lennart Svensson
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[DOI]
Weakly-Supervised Temporal Action Detection for Fine-Grained Videos with Hierarchical Atomic Actions- Zhi Li, Lu He, Huijuan Xu
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[DOI]
Neural Correspondence Field for Object Pose Estimation- Lin Huang, Tomas Hodan, Lingni Ma, Linguang Zhang, Luan Tran, Christopher D. Twigg, Po-Chen Wu, Junsong Yuan, Cem Keskin, Robert Wang
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[DOI]
On Label Granularity and Object Localization- Elijah Cole, Kimberly Wilber, Grant Van Horn, Xuan Yang, Marco Fornoni, Pietro Perona, Serge Belongie, Andrew Howard, Oisin Mac Aodha
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[DOI]
OIMNet++: Prototypical Normalization and Localization-Aware Learning for Person Search- Sanghoon Lee, Youngmin Oh, Donghyeon Baek, Junghyup Lee, Bumsub Ham
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[DOI]
Out-of-Distribution Identification: Let Detector Tell Which I Am Not Sure- Ruoqi Li, Chongyang Zhang, Hao Zhou, Chao Shi, Yan Luo
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[DOI]
Learning with Free Object Segments for Long-Tailed Instance Segmentation- Cheng Zhang, Tai-Yu Pan, Tianle Chen, Jike Zhong, Wenjin Fu, Wei-Lun Chao
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[DOI]
Autoregressive Uncertainty Modeling for 3D Bounding Box Prediction- YuXuan Liu, Nikhil Mishra, Maximilian Sieb, Yide Shentu, Pieter Abbeel, Xi Chen
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[DOI]
3D Random Occlusion and Multi-layer Projection for Deep Multi-Camera Pedestrian Localization- Rui Qiu, Ming Xu, Yuyao Yan, Jeremy S. Smith, Xi Yang
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[DOI]
A Simple Single-Scale Vision Transformer for Object Detection and Instance Segmentation- Wuyang Chen, Xianzhi Du, Fan Yang, Lucas Beyer, Xiaohua Zhai, Tsung-Yi Lin, Huizhong Chen, Jing Li, Xiaodan Song, Zhangyang Wang, Denny Zhou
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[DOI]
Simple Open-Vocabulary Object Detection with Vision Transformers- Matthias Minderer, Alexey Gritsenko, Austin Stone, Maxim Neumann, Dirk Weissenborn, Alexey Dosovitskiy, Aravindh Mahendran, Anurag Arnab, Mostafa Dehghani, Zhuoran Shen, Xiao Wang, Xiaohua Zhai, Thomas Kipf, Neil Houlsby
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[DOI]
"A Simple Approach and Benchmark for 21,000-Category Object Detection"- Yutong Lin, Chen Li, Yue Cao, Zheng Zhang, Jianfeng Wang, Lijuan Wang, Zicheng Liu, Han Hu
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[DOI]
Knowledge Condensation Distillation- Chenxin Li, Mingbao Lin, Zhiyuan Ding, Nie Lin, Yihong Zhuang, Yue Huang, Xinghao Ding, Liujuan Cao
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[DOI]
Reducing Information Loss for Spiking Neural Networks- Yufei Guo, Yuanpei Chen, Liwen Zhang, YingLei Wang, Xiaode Liu, Xinyi Tong, Yuanyuan Ou, Xuhui Huang, Zhe Ma
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[DOI]
Masked Generative Distillation- Zhendong Yang, Zhe Li, Mingqi Shao, Dachuan Shi, Zehuan Yuan, Chun Yuan
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[DOI]
Fine-Grained Data Distribution Alignment for Post-Training Quantization- Yunshan Zhong, Mingbao Lin, Mengzhao Chen, Ke Li, Yunhang Shen, Fei Chao, Yongjian Wu, Rongrong Ji
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[DOI]
Learning with Recoverable Forgetting- Jingwen Ye, Yifang Fu, Jie Song, Xingyi Yang, Songhua Liu, Xin Jin, Mingli Song, Xinchao Wang
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[DOI]
Efficient One Pass Self-Distillation with Zipf’s Label Smoothing- Jiajun Liang, Linze Li, Zhaodong Bing, Borui Zhao, Yao Tang, Bo Lin, Haoqiang Fan
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[DOI]
Prune Your Model before Distill It- Jinhyuk Park, Albert No
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[DOI]
Deep Partial Updating: Towards Communication Efficient Updating for On-Device Inference- Zhongnan Qu, Cong Liu, Lothar Thiele
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[DOI]
Patch Similarity Aware Data-Free Quantization for Vision Transformers- Zhikai Li, Liping Ma, Mengjuan Chen, Junrui Xiao, Qingyi Gu
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[DOI]
"L3: Accelerator-Friendly Lossless Image Format for High-Resolution, High-Throughput DNN Training"- Jonghyun Bae, Woohyeon Baek, Tae Jun Ham, Jae W. Lee
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[DOI]
Streaming Multiscale Deep Equilibrium Models- Can Ufuk Ertenli, Emre Akbas, Ramazan Gokberk Cinbis
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[DOI]
Symmetry Regularization and Saturating Nonlinearity for Robust Quantization- Sein Park, Yeongsang Jang, Eunhyeok Park
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[DOI]
SP-Net: Slowly Progressing Dynamic Inference Networks- Huanyu Wang, Wenhu Zhang, Shihao Su, Hui Wang, Zhenwei Miao, Xin Zhan, Xi Li
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[DOI]
Equivariance and Invariance Inductive Bias for Learning from Insufficient Data- Tan Wang, Qianru Sun, Sugiri Pranata, Karlekar Jayashree, Hanwang Zhang
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[DOI]
Mixed-Precision Neural Network Quantization via Learned Layer-Wise Importance- Chen Tang, Kai Ouyang, Zhi Wang, Yifei Zhu, Wen Ji, Yaowei Wang, Wenwu Zhu
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[DOI]
Event Neural Networks- Matthew Dutson, Yin Li, Mohit Gupta
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[DOI]
EdgeViTs: Competing Light-Weight CNNs on Mobile Devices with Vision Transformers- Junting Pan, Adrian Bulat, Fuwen Tan, Xiatian Zhu, Lukasz Dudziak, Hongsheng Li, Georgios Tzimiropoulos, Brais Martinez
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[DOI]
PalQuant: Accelerating High-Precision Networks on Low-Precision Accelerators- Qinghao Hu, Gang Li, Qiman Wu, Jian Cheng
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[DOI]
Disentangled Differentiable Network Pruning- Shangqian Gao, Feihu Huang, Yanfu Zhang, Heng Huang
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[DOI]
IDa-Det: An Information Discrepancy-Aware Distillation for 1-Bit Detectors- Sheng Xu, Yanjing Li, Bohan Zeng, Teli Ma, Baochang Zhang, Xianbin Cao, Peng Gao, Jinhu Lü
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[DOI]
Learning to Weight Samples for Dynamic Early-Exiting Networks- Yizeng Han, Yifan Pu, Zihang Lai, Chaofei Wang, Shiji Song, Junfeng Cao, Wenhui Huang, Chao Deng, Gao Huang
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[DOI]
AdaBin: Improving Binary Neural Networks with Adaptive Binary Sets- Zhijun Tu, Xinghao Chen, Pengju Ren, Yunhe Wang
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[DOI]
Adaptive Token Sampling for Efficient Vision Transformers- Mohsen Fayyaz, Soroush Abbasi Koohpayegani, Farnoush Rezaei Jafari, Sunando Sengupta, Hamid Reza Vaezi Joze, Eric Sommerlade, Hamed Pirsiavash, Jürgen Gall
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[DOI]
Weight Fixing Networks- Christopher Subia-Waud, Srinandan Dasmahapatra
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[DOI]
Self-Slimmed Vision Transformer- Zhuofan Zong, Kunchang Li, Guanglu Song, Yali Wang, Yu Qiao, Biao Leng, Yu Liu
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[DOI]
Switchable Online Knowledge Distillation- Biao Qian, Yang Wang, Hongzhi Yin, Richang Hong, Meng Wang
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[DOI]
l∞-Robustness and Beyond: Unleashing Efficient Adversarial Training- Hadi M. Dolatabadi, Sarah Erfani, Christopher Leckie
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[DOI]
Multi-Granularity Pruning for Model Acceleration on Mobile Devices- Tianli Zhao, Xi Sheryl Zhang, Wentao Zhu, Jiaxing Wang, Sen Yang, Ji Liu, Jian Cheng
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[DOI]
Deep Ensemble Learning by Diverse Knowledge Distillation for Fine-Grained Object Classification- Naoki Okamoto, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi
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[DOI]
Helpful or Harmful: Inter-Task Association in Continual Learning- Hyundong Jin, Eunwoo Kim
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[DOI]
Towards Accurate Binary Neural Networks via Modeling Contextual Dependencies- Xingrun Xing, Yangguang Li, Wei Li, Wenrui Ding, Yalong Jiang, Yufeng Wang, Jing Shao, Chunlei Liu, Xianglong Liu
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[DOI]
SPIN: An Empirical Evaluation on Sharing Parameters of Isotropic Networks- Chien-Yu Lin, Anish Prabhu, Thomas Merth, Sachin Mehta, Anurag Ranjan, Maxwell Horton, Mohammad Rastegari
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[DOI]
Ensemble Knowledge Guided Sub-network Search and Fine-Tuning for Filter Pruning- Seunghyun Lee, Byung Cheol Song
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[DOI]
Network Binarization via Contrastive Learning- Yuzhang Shang, Dan Xu, Ziliang Zong, Liqiang Nie, Yan Yan
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[DOI]
Lipschitz Continuity Retained Binary Neural Network- Yuzhang Shang, Dan Xu, Bin Duan, Ziliang Zong, Liqiang Nie, Yan Yan
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[DOI]
SPViT: Enabling Faster Vision Transformers via Latency-Aware Soft Token Pruning- Zhenglun Kong, Peiyan Dong, Xiaolong Ma, Xin Meng, Wei Niu, Mengshu Sun, Xuan Shen, Geng Yuan, Bin Ren, Hao Tang, Minghai Qin, Yanzhi Wang
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[DOI]
Soft Masking for Cost-Constrained Channel Pruning- Ryan Humble, Maying Shen, Jorge Albericio Latorre, Eric Darve, Jose Alvarez
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[DOI]
Non-uniform Step Size Quantization for Accurate Post-Training Quantization- Sangyun Oh, Hyeonuk Sim, Jounghyun Kim, Jongeun Lee
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[DOI]
SuperTickets: Drawing Task-Agnostic Lottery Tickets from Supernets via Jointly Architecture Searching and Parameter Pruning- Haoran You, Baopu Li, Zhanyi Sun, Xu Ouyang, Yingyan Lin
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[DOI]
Meta-GF: Training Dynamic-Depth Neural Networks Harmoniously- Yi Sun, Jian Li, Xin Xu
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[DOI]
Towards Ultra Low Latency Spiking Neural Networks for Vision and Sequential Tasks Using Temporal Pruning- Sayeed Shafayet Chowdhury, Nitin Rathi, Kaushik Roy
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[DOI]
Towards Accurate Network Quantization with Equivalent Smooth Regularizer- Kirill Solodskikh, Vladimir Chikin, Ruslan Aydarkhanov, Dehua Song, Irina Zhelavskaya, Jiansheng Wei
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[DOI]
Explicit Model Size Control and Relaxation via Smooth Regularization for Mixed-Precision Quantization- Vladimir Chikin, Kirill Solodskikh, Irina Zhelavskaya
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[DOI]
BASQ: Branch-Wise Activation-Clipping Search Quantization for Sub-4-Bit Neural Networks- Han-Byul Kim, Eunhyeok Park, Sungjoo Yoo
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[DOI]
You Already Have It: A Generator-Free Low-Precision DNN Training Framework Using Stochastic Rounding- Geng Yuan, Sung-En Chang, Qing Jin, Alec Lu, Yanyu Li, Yushu Wu, Zhenglun Kong, Yanyue Xie, Peiyan Dong, Minghai Qin, Xiaolong Ma, Xulong Tang, Zhenman Fang, Yanzhi Wang
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[DOI]
Real Spike: Learning Real-Valued Spikes for Spiking Neural Networks- Yufei Guo, Liwen Zhang, Yuanpei Chen, Xinyi Tong, Xiaode Liu, YingLei Wang, Xuhui Huang, Zhe Ma
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[DOI]
FedLTN: Federated Learning for Sparse and Personalized Lottery Ticket Networks- Vaikkunth Mugunthan, Eric Lin, Vignesh Gokul, Christian Lau, Lalana Kagal, Steve Pieper
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[DOI]
Theoretical Understanding of the Information Flow on Continual Learning Performance- Joshua Andle, Salimeh Yasaei Sekeh
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[DOI]
Exploring Lottery Ticket Hypothesis in Spiking Neural Networks- Youngeun Kim, Yuhang Li, Hyoungseob Park, Yeshwanth Venkatesha, Ruokai Yin, Priyadarshini Panda
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[DOI]
On the Angular Update and Hyperparameter Tuning of a Scale-Invariant Network- Juseung Yun, Janghyeon Lee, Hyounguk Shon, Eojindl Yi, Seung Hwan Kim, Junmo Kim
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[DOI]
LANA: Latency Aware Network Acceleration- Pavlo Molchanov, Jimmy Hall, Hongxu Yin, Jan Kautz, Nicolo Fusi, Arash Vahdat
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[DOI]
RDO-Q: Extremely Fine-Grained Channel-Wise Quantization via Rate-Distortion Optimization- Zhe Wang, Jie Lin, Xue Geng, Mohamed M. Sabry Aly, Vijay Chandrasekhar
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[DOI]
U-Boost NAS: Utilization-Boosted Differentiable Neural Architecture Search- Ahmet Caner Yüzügüler, Nikolaos Dimitriadis, Pascal Frossard
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[DOI]
PTQ4ViT: Post-Training Quantization for Vision Transformers with Twin Uniform Quantization- Zhihang Yuan, Chenhao Xue, Yiqi Chen, Qiang Wu, Guangyu Sun
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[DOI]
Bitwidth-Adaptive Quantization-Aware Neural Network Training: A Meta-Learning Approach- Jiseok Youn, Jaehun Song, Hyung-Sin Kim, Saewoong Bahk
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[DOI]
Understanding the Dynamics of DNNs Using Graph Modularity- Yao Lu, Wen Yang, Yunzhe Zhang, Zuohui Chen, Jinyin Chen, Qi Xuan, Zhen Wang, Xiaoniu Yang
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[DOI]
Latent Discriminant Deterministic Uncertainty- Gianni Franchi, Xuanlong Yu, Andrei Bursuc, Emanuel Aldea, Severine Dubuisson, David Filliat
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[DOI]
Making Heads or Tails: Towards Semantically Consistent Visual Counterfactuals- Simon Vandenhende, Dhruv Mahajan, Filip Radenovic, Deepti Ghadiyaram
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[DOI]
HIVE: Evaluating the Human Interpretability of Visual Explanations- Sunnie S. Y. Kim, Nicole Meister, Vikram V. Ramaswamy, Ruth Fong, Olga Russakovsky
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[DOI]
BayesCap: Bayesian Identity Cap for Calibrated Uncertainty in Frozen Neural Networks- Uddeshya Upadhyay, Shyamgopal Karthik, Yanbei Chen, Massimiliano Mancini, Zeynep Akata
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[DOI]
SESS: Saliency Enhancing with Scaling and Sliding- Osman Tursun, Simon Denman, Sridha Sridharan, Clinton Fookes
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[DOI]
No Token Left Behind: Explainability-Aided Image Classification and Generation- Roni Paiss, Hila Chefer, Lior Wolf
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[DOI]
Interpretable Image Classification with Differentiable Prototypes Assignment- Dawid Rymarczyk, Łukasz Struski, Michał Górszczak, Koryna Lewandowska, Jacek Tabor, Bartosz Zieliński
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[DOI]
"Contributions of Shape, Texture, and Color in Visual Recognition"- Yunhao Ge, Yao Xiao, Zhi Xu, Xingrui Wang, Laurent Itti
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[DOI]
STEEX: Steering Counterfactual Explanations with Semantics- Paul Jacob, Éloi Zablocki, Hédi Ben-Younes, Mickaël Chen, Patrick Pérez, Matthieu Cord
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[DOI]
Are Vision Transformers Robust to Patch Perturbations?- Jindong Gu, Volker Tresp, Yao Qin
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[DOI]
A Dataset Generation Framework for Evaluating Megapixel Image Classifiers & Their Explanations- Gautam Machiraju, Sylvia Plevritis, Parag Mallick
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[DOI]
Cartoon Explanations of Image Classifiers- Stefan Kolek, Duc Anh Nguyen, Ron Levie, Joan Bruna, Gitta Kutyniok
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[DOI]
Shap-CAM: Visual Explanations for Convolutional Neural Networks Based on Shapley Value- Quan Zheng, Ziwei Wang, Jie Zhou, Jiwen Lu
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[DOI]
Privacy-Preserving Face Recognition with Learnable Privacy Budgets in Frequency Domain- Jiazhen Ji, Huan Wang, Yuge Huang, Jiaxiang Wu, Xingkun Xu, Shouhong Ding, ShengChuan Zhang, Liujuan Cao, Rongrong Ji
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[DOI]
Contrast-Phys: Unsupervised Video-Based Remote Physiological Measurement via Spatiotemporal Contrast- Zhaodong Sun, Xiaobai Li
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[DOI]
Source-Free Domain Adaptation with Contrastive Domain Alignment and Self-Supervised Exploration for Face Anti-Spoofing- Yuchen Liu, Yabo Chen, Wenrui Dai, Mengran Gou, Chun-Ting Huang, Hongkai Xiong
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[DOI]
On Mitigating Hard Clusters for Face Clustering- Yingjie Chen, Huasong Zhong, Chong Chen, Chen Shen, Jianqiang Huang, Tao Wang, Yun Liang, Qianru Sun
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[DOI]
OneFace: One Threshold for All- Jiaheng Liu, Zhipeng Yu, Haoyu Qin, Yichao Wu, Ding Liang, Gangming Zhao, Ke Xu
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[DOI]
Label2Label: A Language Modeling Framework for Multi-Attribute Learning- Wanhua Li, Zhexuan Cao, Jianjiang Feng, Jie Zhou, Jiwen Lu
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[DOI]
AgeTransGAN for Facial Age Transformation with Rectified Performance Metrics- Gee-Sern Hsu, Rui-Cang Xie, Zhi-Ting Chen, Yu-Hong Lin
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[DOI]
Hierarchical Contrastive Inconsistency Learning for Deepfake Video Detection- Zhihao Gu, Taiping Yao, Yang Chen, Shouhong Ding, Lizhuang Ma
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[DOI]
Rethinking Robust Representation Learning under Fine-Grained Noisy Faces- Bingqi Ma, Guanglu Song, Boxiao Liu, Yu Liu
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[DOI]
Teaching Where to Look: Attention Similarity Knowledge Distillation for Low Resolution Face Recognition- Sungho Shin, Joosoon Lee, Junseok Lee, Yeonguk Yu, Kyoobin Lee
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[DOI]
Teaching with Soft Label Smoothing for Mitigating Noisy Labels in Facial Expressions- Tohar Lukov, Na Zhao, Gim Hee Lee, Ser-Nam Lim
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[DOI]
Learning Dynamic Facial Radiance Fields for Few-Shot Talking Head Synthesis- Shuai Shen, Wanhua Li, Zheng Zhu, Yueqi Duan, Jie Zhou, Jiwen Lu
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[DOI]
CoupleFace: Relation Matters for Face Recognition Distillation- Jiaheng Liu, Haoyu Qin, Yichao Wu, Jinyang Guo, Ding Liang, Ke Xu
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[DOI]
Controllable and Guided Face Synthesis for Unconstrained Face Recognition- Feng Liu, Minchul Kim, Anil Jain, Xiaoming Liu
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[DOI]
Towards Robust Face Recognition with Comprehensive Search- Manyuan Zhang, Guanglu Song, Yu Liu, Hongsheng Li
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[DOI]
Towards Unbiased Label Distribution Learning for Facial Pose Estimation Using Anisotropic Spherical Gaussian- Zhiwen Cao, Dongfang Liu, Qifan Wang, Yingjie Chen
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[DOI]
AU-Aware 3D Face Reconstruction through Personalized AU-Specific Blendshape Learning- Chenyi Kuang, Zijun Cui, Jeffrey O. Kephart, Qiang Ji
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[DOI]
BézierPalm: A Free Lunch for Palmprint Recognition- Kai Zhao, Lei Shen, Yingyi Zhang, Chuhan Zhou, Tao Wang, Ruixin Zhang, Shouhong Ding, Wei Jia, Wei Shen
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[DOI]
Adaptive Transformers for Robust Few-Shot Cross-Domain Face Anti-Spoofing- Hsin-Ping Huang, Deqing Sun, Yaojie Liu, Wen-Sheng Chu, Taihong Xiao, Jinwei Yuan, Hartwig Adam, Ming-Hsuan Yang
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[DOI]
Face2Faceρ: Real-Time High-Resolution One-Shot Face Reenactment- Kewei Yang, Kang Chen, Daoliang Guo, Song-Hai Zhang, Yuan-Chen Guo, Weidong Zhang
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[DOI]
Towards Racially Unbiased Skin Tone Estimation via Scene Disambiguation- Haiwen Feng, Timo Bolkart, Joachim Tesch, Michael J. Black, Victoria Abrevaya
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[DOI]
BoundaryFace: A Mining Framework with Noise Label Self-Correction for Face Recognition- Shijie Wu, Xun Gong
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[DOI]
Pre-training Strategies and Datasets for Facial Representation Learning- Adrian Bulat, Shiyang Cheng, Jing Yang, Andrew Garbett, Enrique Sanchez, Georgios Tzimiropoulos
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[DOI]
Look Both Ways: Self-Supervising Driver Gaze Estimation and Road Scene Saliency- Isaac Kasahara, Simon Stent, Hyun Soo Park
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[DOI]
MFIM: Megapixel Facial Identity Manipulation- Sanghyeon Na
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[DOI]
3D Face Reconstruction with Dense Landmarks- Erroll Wood, Tadas Baltrušaitis, Charlie Hewitt, Matthew Johnson, Jingjing Shen, Nikola Milosavljević, Daniel Wilde, Stephan Garbin, Toby Sharp, Ivan Stojiljković, Tom Cashman, Julien Valentin
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[DOI]
Emotion-Aware Multi-View Contrastive Learning for Facial Emotion Recognition- Daeha Kim, Byung Cheol Song
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[DOI]
Order Learning Using Partially Ordered Data via Chainization- Seon-Ho Lee, Chang-Su Kim
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[DOI]
Unsupervised High-Fidelity Facial Texture Generation and Reconstruction- Ron Slossberg, Ibrahim Jubran, Ron Kimmel
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[DOI]
Multi-Domain Learning for Updating Face Anti-Spoofing Models- Xiao Guo, Yaojie Liu, Anil Jain, Xiaoming Liu
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[DOI]
Towards Metrical Reconstruction of Human Faces- Wojciech Zielonka, Timo Bolkart, Justus Thies
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[DOI]
Discover and Mitigate Unknown Biases with Debiasing Alternate Networks- Zhiheng Li, Anthony Hoogs, Chenliang Xu
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[DOI]
Unsupervised and Semi-Supervised Bias Benchmarking in Face Recognition- Alexandra Chouldechova, Siqi Deng, Yongxin Wang, Wei Xia, Pietro Perona
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[DOI]
Towards Efficient Adversarial Training on Vision Transformers- Boxi Wu, Jindong Gu, Zhifeng Li, Deng Cai, Xiaofei He, Wei Liu
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[DOI]
MIME: Minority Inclusion for Majority Group Enhancement of AI Performance- Pradyumna Chari, Yunhao Ba, Shreeram Athreya, Achuta Kadambi
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[DOI]
Studying Bias in GANs through the Lens of Race- Vongani H. Maluleke, Neerja Thakkar, Tim Brooks, Ethan Weber, Trevor Darrell, Alexei A. Efros, Angjoo Kanazawa, Devin Guillory
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[DOI]
"Trust, but Verify: Using Self-Supervised Probing to Improve Trustworthiness"- Ailin Deng, Shen Li, Miao Xiong, Zhirui Chen, Bryan Hooi
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[DOI]
Learning to Censor by Noisy Sampling- Ayush Chopra, Abhinav Java, Abhishek Singh, Vivek Sharma, Ramesh Raskar
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[DOI]
An Invisible Black-Box Backdoor Attack through Frequency Domain- Tong Wang, Yuan Yao, Feng Xu, Shengwei An, Hanghang Tong, Ting Wang
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[DOI]
FairGRAPE: Fairness-Aware GRAdient Pruning mEthod for Face Attribute Classification- Xiaofeng Lin, Seungbae Kim, Jungseock Joo
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[DOI]
Attaining Class-Level Forgetting in Pretrained Model Using Few Samples- Pravendra Singh, Pratik Mazumder, Mohammed Asad Karim
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[DOI]
Anti-Neuron Watermarking: Protecting Personal Data against Unauthorized Neural Networks- Zihang Zou, Boqing Gong, Liqiang Wang
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[DOI]
An Impartial Take to the CNN vs Transformer Robustness Contest- Francesco Pinto, Philip H. S. Torr, Puneet K. Dokania
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[DOI]
Recover Fair Deep Classification Models via Altering Pre-trained Structure- Yanfu Zhang, Shangqian Gao, Heng Huang
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[DOI]
Decouple-and-Sample: Protecting Sensitive Information in Task Agnostic Data Release- Abhishek Singh, Ethan Garza, Ayush Chopra, Praneeth Vepakomma, Vivek Sharma, Ramesh Raskar
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[DOI]
Privacy-Preserving Action Recognition via Motion Difference Quantization- Sudhakar Kumawat, Hajime Nagahara
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[DOI]
Latent Space Smoothing for Individually Fair Representations- Momchil Peychev, Anian Ruoss, Mislav Balunović, Maximilian Baader, Martin Vechev
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[DOI]
Parameterized Temperature Scaling for Boosting the Expressive Power in Post-Hoc Uncertainty Calibration- Christian Tomani, Daniel Cremers, Florian Buettner
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[DOI]
FairStyle: Debiasing StyleGAN2 with Style Channel Manipulations- Cemre Efe Karakas, Alara Dirik, Eylül Yalçınkaya, Pinar Yanardag
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[DOI]
Distilling the Undistillable: Learning from a Nasty Teacher- Surgan Jandial, Yash Khasbage, Arghya Pal, Vineeth N Balasubramanian, Balaji Krishnamurthy
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[DOI]
SOS! Self-Supervised Learning over Sets of Handled Objects in Egocentric Action Recognition- Victor Escorcia, Ricardo Guerrero, Xiatian Zhu, Brais Martinez
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[DOI]
Egocentric Activity Recognition and Localization on a 3D Map- Miao Liu, Lingni Ma, Kiran Somasundaram, Yin Li, Kristen Grauman, James M. Rehg, Chao Li
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[DOI]
Generative Adversarial Network for Future Hand Segmentation from Egocentric Video- Wenqi Jia, Miao Liu, James M. Rehg
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[DOI]
My View Is the Best View: Procedure Learning from Egocentric Videos- Siddhant Bansal, Chetan Arora, C.V. Jawahar
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[DOI]
GIMO: Gaze-Informed Human Motion Prediction in Context- Yang Zheng, Yanchao Yang, Kaichun Mo, Jiaman Li, Tao Yu, Yebin Liu, Karen Liu, Leonidas J. Guibas
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[DOI]
Image-Based CLIP-Guided Essence Transfer- Hila Chefer, Sagie Benaim, Roni Paiss, Lior Wolf
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[DOI]
Detecting and Recovering Sequential DeepFake Manipulation- Rui Shao, Tianxing Wu, Ziwei Liu
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[DOI]
Self-Supervised Sparse Representation for Video Anomaly Detection- Jhih-Ciang Wu, He-Yen Hsieh, Ding-Jie Chen, Chiou-Shann Fuh, Tyng-Luh Liu
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[DOI]
Watermark Vaccine: Adversarial Attacks to Prevent Watermark Removal- Xinwei Liu, Jian Liu, Yang Bai, Jindong Gu, Tao Chen, Xiaojun Jia, Xiaochun Cao
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[DOI]
Explaining Deepfake Detection by Analysing Image Matching- Shichao Dong, Jin Wang, Jiajun Liang, Haoqiang Fan, Renhe Ji
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[DOI]
FrequencyLowCut Pooling – Plug & Play against Catastrophic Overfitting- Julia Grabinski, Steffen Jung, Janis Keuper, Margret Keuper
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[DOI]
TAFIM: Targeted Adversarial Attacks against Facial Image Manipulations- Shivangi Aneja, Lev Markhasin, Matthias Nießner
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[DOI]
FingerprintNet: Synthesized Fingerprints for Generated Image Detection- Yonghyun Jeong, Doyeon Kim, Youngmin Ro, Pyounggeon Kim, Jongwon Choi
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[DOI]
Detecting Generated Images by Real Images- Bo Liu, Fan Yang, Xiuli Bi, Bin Xiao, Weisheng Li, Xinbo Gao
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[DOI]
An Information Theoretic Approach for Attention-Driven Face Forgery Detection- Ke Sun, Hong Liu, Taiping Yao, Xiaoshuai Sun, Shen Chen, Shouhong Ding, Rongrong Ji
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[DOI]
Exploring Disentangled Content Information for Face Forgery Detection- Jiahao Liang, Huafeng Shi, Weihong Deng
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[DOI]
RepMix: Representation Mixing for Robust Attribution of Synthesized Images- Tu Bui, Ning Yu, John Collomosse
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[DOI]
Totems: Physical Objects for Verifying Visual Integrity- Jingwei Ma, Lucy Chai, Minyoung Huh, Tongzhou Wang, Ser-Nam Lim, Phillip Isola, Antonio Torralba
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[DOI]
Dual-Stream Knowledge-Preserving Hashing for Unsupervised Video Retrieval- Pandeng Li, Hongtao Xie, Jiannan Ge, Lei Zhang, Shaobo Min, Yongdong Zhang
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[DOI]
PASS: Part-Aware Self-Supervised Pre-training for Person Re-identification- Kuan Zhu, Haiyun Guo, Tianyi Yan, Yousong Zhu, Jinqiao Wang, Ming Tang
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[DOI]
Adaptive Cross-Domain Learning for Generalizable Person Re-identification- Pengyi Zhang, Huanzhang Dou, Yunlong Yu, Xi Li
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[DOI]
Multi-Query Video Retrieval- Zeyu Wang, Yu Wu, Karthik Narasimhan, Olga Russakovsky
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[DOI]
Hierarchical Average Precision Training for Pertinent Image Retrieval- Elias Ramzi, Nicolas Audebert, Nicolas Thome, Clément Rambour, Xavier Bitot
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[DOI]
Learning Semantic Correspondence with Sparse Annotations- Shuaiyi Huang, Luyu Yang, Bo He, Songyang Zhang, Xuming He, Abhinav Shrivastava
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[DOI]
Dynamically Transformed Instance Normalization Network for Generalizable Person Re-identification- Bingliang Jiao, Lingqiao Liu, Liying Gao, Guosheng Lin, Lu Yang, Shizhou Zhang, Peng Wang, Yanning Zhang
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[DOI]
Domain Adaptive Person Search- Junjie Li, Yichao Yan, Guanshuo Wang, Fufu Yu, Qiong Jia, Shouhong Ding
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[DOI]
TS2-Net: Token Shift and Selection Transformer for Text-Video Retrieval- Yuqi Liu, Pengfei Xiong, Luhui Xu, Shengming Cao, Qin Jin
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[DOI]
Unstructured Feature Decoupling for Vehicle Re-identification- Wen Qian, Hao Luo, Silong Peng, Fan Wang, Chen Chen, Hao Li
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[DOI]
Deep Hash Distillation for Image Retrieval- Young Kyun Jang, Geonmo Gu, Byungsoo Ko, Isaac Kang, Nam Ik Cho
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[DOI]
Mimic Embedding via Adaptive Aggregation: Learning Generalizable Person Re-identification- Boqiang Xu, Jian Liang, Lingxiao He, Zhenan Sun
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[DOI]
Granularity-Aware Adaptation for Image Retrieval over Multiple Tasks- Jon Almazán, Byungsoo Ko, Geonmo Gu, Diane Larlus, Yannis Kalantidis
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[DOI]
Learning Audio-Video Modalities from Image Captions- Arsha Nagrani, Paul Hongsuck Seo, Bryan Seybold, Anja Hauth, Santiago Manen, Chen Sun, Cordelia Schmid
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[DOI]
RVSL: Robust Vehicle Similarity Learning in Real Hazy Scenes Based on Semi-Supervised Learning- Wei-Ting Chen, I-Hsiang Chen, Chih-Yuan Yeh, Hao-Hsiang Yang, Hua-En Chang, Jian-Jiun Ding, Sy-Yen Kuo
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[DOI]
Lightweight Attentional Feature Fusion: A New Baseline for Text-to-Video Retrieval- Fan Hu, Aozhu Chen, Ziyue Wang, Fangming Zhou, Jianfeng Dong, Xirong Li
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[DOI]
Modality Synergy Complement Learning with Cascaded Aggregation for Visible-Infrared Person Re-identification- Yiyuan Zhang, Sanyuan Zhao, Yuhao Kang, Jianbing Shen
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[DOI]
Cross-Modality Transformer for Visible-Infrared Person Re-identification- Kongzhu Jiang, Tianzhu Zhang, Xiang Liu, Bingqiao Qian, Yongdong Zhang, Feng Wu
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[DOI]
Audio-Visual Mismatch-Aware Video Retrieval via Association and Adjustment- Sangmin Lee, Sungjune Park, Yong Man Ro
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[DOI]
Connecting Compression Spaces with Transformer for Approximate Nearest Neighbor Search- Haokui Zhang, Buzhou Tang, Wenze Hu, Xiaoyu Wang
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[DOI]
SEMICON: A Learning-to-Hash Solution for Large-Scale Fine-Grained Image Retrieval- Yang Shen, Xuhao Sun, Xiu-Shen Wei, Qing-Yuan Jiang, Jian Yang
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[DOI]
CAViT: Contextual Alignment Vision Transformer for Video Object Re-identification- Jinlin Wu, Lingxiao He, Wu Liu, Yang Yang, Zhen Lei, Tao Mei, Stan Z. Li
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[DOI]
Text-Based Temporal Localization of Novel Events- Sudipta Paul, Niluthpol Chowdhury Mithun, Amit K. Roy-Chowdhury
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[DOI]
Reliability-Aware Prediction via Uncertainty Learning for Person Image Retrieval- Zhaopeng Dou, Zhongdao Wang, Weihua Chen, Yali Li, Shengjin Wang
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[DOI]
Relighting4D: Neural Relightable Human from Videos- Zhaoxi Chen, Ziwei Liu
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[DOI]
Real-Time Intermediate Flow Estimation for Video Frame Interpolation- Zhewei Huang, Tianyuan Zhang, Wen Heng, Boxin Shi, Shuchang Zhou
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[DOI]
PixelFolder: An Efficient Progressive Pixel Synthesis Network for Image Generation- Jing He, Yiyi Zhou, Qi Zhang, Jun Peng, Yunhang Shen, Xiaoshuai Sun, Chao Chen, Rongrong Ji
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[DOI]
StyleSwap: Style-Based Generator Empowers Robust Face Swapping- Zhiliang Xu, Hang Zhou, Zhibin Hong, Ziwei Liu, Jiaming Liu, Zhizhi Guo, Junyu Han, Jingtuo Liu, Errui Ding, Jingdong Wang
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[DOI]
Paint2Pix: Interactive Painting Based Progressive Image Synthesis and Editing- Jaskirat Singh, Liang Zheng, Cameron Smith, Jose Echevarria
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[DOI]
FurryGAN: High Quality Foreground-Aware Image Synthesis- Jeongmin Bae, Mingi Kwon, Youngjung Uh
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[DOI]
SCAM! Transferring Humans between Images with Semantic Cross Attention Modulation- Nicolas Dufour, David Picard, Vicky Kalogeiton
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[DOI]
Sem2NeRF: Converting Single-View Semantic Masks to Neural Radiance Fields- Yuedong Chen, Qianyi Wu, Chuanxia Zheng, Tat-Jen Cham, Jianfei Cai
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[DOI]
WaveGAN: Frequency-Aware GAN for High-Fidelity Few-Shot Image Generation- Mengping Yang, Zhe Wang, Ziqiu Chi, Wenyi Feng
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[DOI]
End-to-End Visual Editing with a Generatively Pre-trained Artist- Andrew Brown, Cheng-Yang Fu, Omkar Parkhi, Tamara L. Berg, Andrea Vedaldi
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[DOI]
High-Fidelity GAN Inversion with Padding Space- Qingyan Bai, Yinghao Xu, Jiapeng Zhu, Weihao Xia, Yujiu Yang, Yujun Shen
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[DOI]
Designing One Unified Framework for High-Fidelity Face Reenactment and Swapping- Chao Xu, Jiangning Zhang, Yue Han, Guanzhong Tian, Xianfang Zeng, Ying Tai, Yabiao Wang, Chengjie Wang, Yong Liu
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[DOI]
Sobolev Training for Implicit Neural Representations with Approximated Image Derivatives- Wentao Yuan, Qingtian Zhu, Xiangyue Liu, Yikang Ding, Haotian Zhang, Chi Zhang
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[DOI]
Make-a-Scene: Scene-Based Text-to-Image Generation with Human Priors- Oran Gafni, Adam Polyak, Oron Ashual, Shelly Sheynin, Devi Parikh, Yaniv Taigman
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[DOI]
3D-FM GAN: Towards 3D-Controllable Face Manipulation- Yuchen Liu, Zhixin Shu, Yijun Li, Zhe Lin, Richard Zhang, S.Y. Kung
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[DOI]
Multi-Curve Translator for High-Resolution Photorealistic Image Translation- Yuda Song, Hui Qian, Xin Du
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[DOI]
Deep Bayesian Video Frame Interpolation- Zhiyang Yu, Yu Zhang, Xujie Xiang, Dongqing Zou, Xijun Chen, Jimmy S. Ren
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[DOI]
Cross Attention Based Style Distribution for Controllable Person Image Synthesis- Xinyue Zhou, Mingyu Yin, Xinyuan Chen, Li Sun, Changxin Gao, Qingli Li
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[DOI]
KeypointNeRF: Generalizing Image-Based Volumetric Avatars Using Relative Spatial Encoding of Keypoints- Marko Mihajlovic, Aayush Bansal, Michael Zollhöfer, Siyu Tang, Shunsuke Saito
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[DOI]
ViewFormer: NeRF-Free Neural Rendering from Few Images Using Transformers- Jonáš Kulhánek, Erik Derner, Torsten Sattler, Robert Babuška
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[DOI]
L-Tracing: Fast Light Visibility Estimation on Neural Surfaces by Sphere Tracing- Ziyu Chen, Chenjing Ding, Jianfei Guo, Dongliang Wang, Yikang Li, Xuan Xiao, Wei Wu, Li Song
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[DOI]
A Perceptual Quality Metric for Video Frame Interpolation- Qiqi Hou, Abhijay Ghildyal, Feng Liu
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[DOI]
Adaptive Feature Interpolation for Low-Shot Image Generation- Mengyu Dai, Haibin Hang, Xiaoyang Guo
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[DOI]
PalGAN: Image Colorization with Palette Generative Adversarial Networks- Yi Wang, Menghan Xia, Lu Qi, Jing Shao, Yu Qiao
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[DOI]
Fast-Vid2Vid: Spatial-Temporal Compression for Video-to-Video Synthesis- Long Zhuo, Guangcong Wang, Shikai Li, Wayne Wu, Ziwei Liu
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[DOI]
Learning Prior Feature and Attention Enhanced Image Inpainting- Chenjie Cao, Qiaole Dong, Yanwei Fu
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[DOI]
Temporal-MPI: Enabling Multi-Plane Images for Dynamic Scene Modelling via Temporal Basis Learning- Wenpeng Xing, Jie Chen
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[DOI]
3D-Aware Semantic-Guided Generative Model for Human Synthesis- Jichao Zhang, Enver Sangineto, Hao Tang, Aliaksandr Siarohin, Zhun Zhong, Nicu Sebe, Wei Wang
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[DOI]
Temporally Consistent Semantic Video Editing- Yiran Xu, Badour AlBahar, Jia-Bin Huang
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[DOI]
Error Compensation Framework for Flow-Guided Video Inpainting- Jaeyeon Kang, Seoung Wug Oh, Seon Joo Kim
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[DOI]
Scraping Textures from Natural Images for Synthesis and Editing- Xueting Li, Xiaolong Wang, Ming-Hsuan Yang, Alexei A. Efros, Sifei Liu
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[DOI]
Single Stage Virtual Try-On via Deformable Attention Flows- Shuai Bai, Huiling Zhou, Zhikang Li, Chang Zhou, Hongxia Yang
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[DOI]
Improving GANs for Long-Tailed Data through Group Spectral Regularization- Harsh Rangwani, Naman Jaswani, Tejan Karmali, Varun Jampani, R. Venkatesh Babu
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[DOI]
Hierarchical Semantic Regularization of Latent Spaces in StyleGANs- Tejan Karmali, Rishubh Parihar, Susmit Agrawal, Harsh Rangwani, Varun Jampani, Maneesh Singh, R. Venkatesh Babu
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[DOI]
IntereStyle: Encoding an Interest Region for Robust StyleGAN Inversion- Seung-Jun Moon, Gyeong-Moon Park
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[DOI]
StyleLight: HDR Panorama Generation for Lighting Estimation and Editing- Guangcong Wang, Yinuo Yang, Chen Change Loy, Ziwei Liu
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[DOI]
Contrastive Monotonic Pixel-Level Modulation- Kun Lu, Rongpeng Li, Honggang Zhang
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[DOI]
Learning Cross-Video Neural Representations for High-Quality Frame Interpolation- Wentao Shangguan, Yu Sun, Weijie Gan, Ulugbek S. Kamilov
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[DOI]
Learning Continuous Implicit Representation for Near-Periodic Patterns- Bowei Chen, Tiancheng Zhi, Martial Hebert, Srinivasa G. Narasimhan
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[DOI]
End-to-End Graph-Constrained Vectorized Floorplan Generation with Panoptic Refinement- Jiachen Liu, Yuan Xue, Jose Duarte, Krishnendra Shekhawat, Zihan Zhou, Xiaolei Huang
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[DOI]
Few-Shot Image Generation with Mixup-Based Distance Learning- Chaerin Kong, Jeesoo Kim, Donghoon Han, Nojun Kwak
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[DOI]
A Style-Based GAN Encoder for High Fidelity Reconstruction of Images and Videos- Xu Yao, Alasdair Newson, Yann Gousseau, Pierre Hellier
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[DOI]
FakeCLR: Exploring Contrastive Learning for Solving Latent Discontinuity in Data-Efficient GANs- Ziqiang Li, Chaoyue Wang, Heliang Zheng, Jing Zhang, Bin Li
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[DOI]
BlobGAN: Spatially Disentangled Scene Representations- Dave Epstein, Taesung Park, Richard Zhang, Eli Shechtman, Alexei A. Efros
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[DOI]
Unified Implicit Neural Stylization- Zhiwen Fan, Yifan Jiang, Peihao Wang, Xinyu Gong, Dejia Xu, Zhangyang Wang
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[DOI]
GAN with Multivariate Disentangling for Controllable Hair Editing- Xuyang Guo, Meina Kan, Tianle Chen, Shiguang Shan
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[DOI]
Discovering Transferable Forensic Features for CNN-Generated Images Detection- Keshigeyan Chandrasegaran, Ngoc-Trung Tran, Alexander Binder, Ngai-Man Cheung
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[DOI]
Harmonizer: Learning to Perform White-Box Image and Video Harmonization- Zhanghan Ke, Chunyi Sun, Lei Zhu, Ke Xu, Rynson W.H. Lau
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[DOI]
Text2LIVE: Text-Driven Layered Image and Video Editing- Omer Bar-Tal, Dolev Ofri-Amar, Rafail Fridman, Yoni Kasten, Tali Dekel
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[DOI]
Digging into Radiance Grid for Real-Time View Synthesis with Detail Preservation- Jian Zhang, Jinchi Huang, Bowen Cai, Huan Fu, Mingming Gong, Chaohui Wang, Jiaming Wang, Hongchen Luo, Rongfei Jia, Binqiang Zhao, Xing Tang
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[DOI]
StyleGAN-Human: A Data-Centric Odyssey of Human Generation- Jianglin Fu, Shikai Li, Yuming Jiang, Kwan-Yee Lin, Chen Qian, Chen Change Loy, Wayne Wu, Ziwei Liu
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[DOI]
ColorFormer: Image Colorization via Color Memory Assisted Hybrid-Attention Transformer- Xiaozhong Ji, Boyuan Jiang, Donghao Luo, Guangpin Tao, Wenqing Chu, Zhifeng Xie, Chengjie Wang, Ying Tai
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[DOI]
EAGAN: Efficient Two-Stage Evolutionary Architecture Search for GANs- Guohao Ying, Xin He, Bin Gao, Bo Han, Xiaowen Chu
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[DOI]
Weakly-Supervised Stitching Network for Real-World Panoramic Image Generation- Dae-Young Song, Geonsoo Lee, HeeKyung Lee, Gi-Mun Um, Donghyeon Cho
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[DOI]
DynaST: Dynamic Sparse Transformer for Exemplar-Guided Image Generation- Songhua Liu, Jingwen Ye, Sucheng Ren, Xinchao Wang
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[DOI]
Multimodal Conditional Image Synthesis with Product-of-Experts GANs- Xun Huang, Arun Mallya, Ting-Chun Wang, Ming-Yu Liu
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[DOI]
Auto-Regressive Image Synthesis with Integrated Quantization- Fangneng Zhan, Yingchen Yu, Rongliang Wu, Jiahui Zhang, Kaiwen Cui, Changgong Zhang, Shijian Lu
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[DOI]
JoJoGAN: One Shot Face Stylization- Min Jin Chong, David Forsyth
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[DOI]
VecGAN: Image-to-Image Translation with Interpretable Latent Directions- Yusuf Dalva, Said Fahri Altındiş, Aysegul Dundar
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[DOI]
Any-Resolution Training for High-Resolution Image Synthesis- Lucy Chai, Michaël Gharbi, Eli Shechtman, Phillip Isola, Richard Zhang
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[DOI]
CCPL: Contrastive Coherence Preserving Loss for Versatile Style Transfer- Zijie Wu, Zhen Zhu, Junping Du, Xiang Bai
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[DOI]
CANF-VC: Conditional Augmented Normalizing Flows for Video Compression- Yung-Han Ho, Chih-Peng Chang, Peng-Yu Chen, Alessandro Gnutti, Wen-Hsiao Peng
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[DOI]
Bi-Level Feature Alignment for Versatile Image Translation and Manipulation- Fangneng Zhan, Yingchen Yu, Rongliang Wu, Jiahui Zhang, Kaiwen Cui, Aoran Xiao, Shijian Lu, Chunyan Miao
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[DOI]
High-Fidelity Image Inpainting with GAN Inversion- Yongsheng Yu, Libo Zhang, Heng Fan, Tiejian Luo
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[DOI]
DeltaGAN: Towards Diverse Few-Shot Image Generation with Sample-Specific Delta- Yan Hong, Li Niu, Jianfu Zhang, Liqing Zhang
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[DOI]
Image Inpainting with Cascaded Modulation GAN and Object-Aware Training- Haitian Zheng, Zhe Lin, Jingwan Lu, Scott Cohen, Eli Shechtman, Connelly Barnes, Jianming Zhang, Ning Xu, Sohrab Amirghodsi, Jiebo Luo
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[DOI]
StyleFace: Towards Identity-Disentangled Face Generation on Megapixels- Yuchen Luo, Junwei Zhu, Keke He, Wenqing Chu, Ying Tai, Chengjie Wang, Junchi Yan
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[DOI]
Video Extrapolation in Space and Time- Yunzhi Zhang, Jiajun Wu
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[DOI]
Contrastive Learning for Diverse Disentangled Foreground Generation- Yuheng Li, Yijun Li, Jingwan Lu, Eli Shechtman, Yong Jae Lee, Krishna Kumar Singh
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[DOI]
BIPS: Bi-modal Indoor Panorama Synthesis via Residual Depth-Aided Adversarial Learning- Changgyoon Oh, Wonjune Cho, Yujeong Chae, Daehee Park, Lin Wang, Kuk-Jin Yoon
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[DOI]
Augmentation of rPPG Benchmark Datasets: Learning to Remove and Embed rPPG Signals via Double Cycle Consistent Learning from Unpaired Facial Videos- Cheng-Ju Hsieh, Wei-Hao Chung, Chiou-Ting Hsu
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[DOI]
Geometry-Aware Single-Image Full-Body Human Relighting- Chaonan Ji, Tao Yu, Kaiwen Guo, Jingxin Liu, Yebin Liu
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[DOI]
3D-Aware Indoor Scene Synthesis with Depth Priors- Zifan Shi, Yujun Shen, Jiapeng Zhu, Dit-Yan Yeung, Qifeng Chen
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[DOI]
Deep Portrait Delighting- Joshua Weir, Junhong Zhao, Andrew Chalmers, Taehyun Rhee
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[DOI]
Vector Quantized Image-to-Image Translation- Yu-Jie Chen, Shin-I Cheng, Wei-Chen Chiu, Hung-Yu Tseng, Hsin-Ying Lee
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[DOI]
The Surprisingly Straightforward Scene Text Removal Method with Gated Attention and Region of Interest Generation: A Comprehensive Prominent Model Analysis- Hyeonsu Lee, Chankyu Choi
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[DOI]
Free-Viewpoint RGB-D Human Performance Capture and Rendering- Phong Nguyen-Ha, Nikolaos Sarafianos, Christoph Lassner, Janne Heikkilä, Tony Tung
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[DOI]
Multiview Regenerative Morphing with Dual Flows- Chih-Jung Tsai, Cheng Sun, Hwann-Tzong Chen
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[DOI]
Hallucinating Pose-Compatible Scenes- Tim Brooks, Alexei A. Efros
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[DOI]
Motion and Appearance Adaptation for Cross-Domain Motion Transfer- Borun Xu, Biao Wang, Jinhong Deng, Jiale Tao, Tiezheng Ge, Yuning Jiang, Wen Li, Lixin Duan
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[DOI]
Layered Controllable Video Generation- Jiahui Huang, Yuhe Jin, Kwang Moo Yi, Leonid Sigal
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[DOI]
Custom Structure Preservation in Face Aging- Guillermo Gomez-Trenado, Stéphane Lathuilière, Pablo Mesejo, Óscar Cordón
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[DOI]
Spatio-Temporal Deformable Attention Network for Video Deblurring- Huicong Zhang, Haozhe Xie, Hongxun Yao
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[DOI]
NeuMesh: Learning Disentangled Neural Mesh-Based Implicit Field for Geometry and Texture Editing- Bangbang Yang, Chong Bao, Junyi Zeng, Hujun Bao, Yinda Zhang, Zhaopeng Cui, Guofeng Zhang
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[DOI]
NeRF for Outdoor Scene Relighting- Viktor Rudnev, Mohamed Elgharib, William Smith, Lingjie Liu, Vladislav Golyanik, Christian Theobalt
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[DOI]
CoGS: Controllable Generation and Search from Sketch and Style- Cusuh Ham, Gemma Canet Tarrés, Tu Bui, James Hays, Zhe Lin, John Collomosse
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[DOI]
HairNet: Hairstyle Transfer with Pose Changes- Peihao Zhu, Rameen Abdal, John Femiani, Peter Wonka
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[DOI]
Unbiased Multi-Modality Guidance for Image Inpainting- Yongsheng Yu, Dawei Du, Libo Zhang, Tiejian Luo
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[DOI]
Intelli-Paint: Towards Developing More Human-Intelligible Painting Agents- Jaskirat Singh, Cameron Smith, Jose Echevarria, Liang Zheng
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[DOI]
Motion Transformer for Unsupervised Image Animation- Jiale Tao, Biao Wang, Tiezheng Ge, Yuning Jiang, Wen Li, Lixin Duan
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[DOI]
NÜWA: Visual Synthesis Pre-training for Neural visUal World creAtion- Chenfei Wu, Jian Liang, Lei Ji, Fan Yang, Yuejian Fang, Daxin Jiang, Nan Duan
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[DOI]
EleGANt: Exquisite and Locally Editable GAN for Makeup Transfer- Chenyu Yang, Wanrong He, Yingqing Xu, Yang Gao
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[DOI]
Editing Out-of-Domain GAN Inversion via Differential Activations- Haorui Song, Yong Du, Tianyi Xiang, Junyu Dong, Jing Qin, Shengfeng He
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[DOI]
On the Robustness of Quality Measures for GANs- Motasem Alfarra, Juan C. Pérez, Anna Frühstück, Philip H. S. Torr, Peter Wonka, Bernard Ghanem
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[DOI]
Sound-Guided Semantic Video Generation- Seung Hyun Lee, Gyeongrok Oh, Wonmin Byeon, Chanyoung Kim, Won Jeong Ryoo, Sang Ho Yoon, Hyunjun Cho, Jihyun Bae, Jinkyu Kim, Sangpil Kim
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[DOI]
Inpainting at Modern Camera Resolution by Guided PatchMatch with Auto-Curation- Lingzhi Zhang, Connelly Barnes, Kevin Wampler, Sohrab Amirghodsi, Eli Shechtman, Zhe Lin, Jianbo Shi
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[DOI]
Controllable Video Generation through Global and Local Motion Dynamics- Aram Davtyan, Paolo Favaro
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[DOI]
StyleHEAT: One-Shot High-Resolution Editable Talking Face Generation via Pre-trained StyleGAN- Fei Yin, Yong Zhang, Xiaodong Cun, Mingdeng Cao, Yanbo Fan, Xuan Wang, Qingyan Bai, Baoyuan Wu, Jue Wang, Yujiu Yang
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[DOI]
Long Video Generation with Time-Agnostic VQGAN and Time-Sensitive Transformer- Songwei Ge, Thomas Hayes, Harry Yang, Xi Yin, Guan Pang, David Jacobs, Jia-Bin Huang, Devi Parikh
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[DOI]
Combining Internal and External Constraints for Unrolling Shutter in Videos- Eyal Naor, Itai Antebi, Shai Bagon, Michal Irani
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[DOI]
WISE: Whitebox Image Stylization by Example-Based Learning- Winfried Lötzsch, Max Reimann, Martin Büssemeyer, Amir Semmo, Jürgen Döllner, Matthias Trapp
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[DOI]
Neural Radiance Transfer Fields for Relightable Novel-View Synthesis with Global Illumination- Linjie Lyu, Ayush Tewari, Thomas Leimkühler, Marc Habermann, Christian Theobalt
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[DOI]
Transformers As Meta-Learners for Implicit Neural Representations- Yinbo Chen, Xiaolong Wang
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[DOI]
Style Your Hair: Latent Optimization for Pose-Invariant Hairstyle Transfer via Local-Style-Aware Hair Alignment- Taewoo Kim, Chaeyeon Chung, Yoonseo Kim, Sunghyun Park, Kangyeol Kim, Jaegul Choo
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[DOI]
High-Resolution Virtual Try-On with Misalignment and Occlusion-Handled Conditions- Sangyun Lee, Gyojung Gu, Sunghyun Park, Seunghwan Choi, Jaegul Choo
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[DOI]
A Codec Information Assisted Framework for Efficient Compressed Video Super-Resolution- Hengsheng Zhang, Xueyi Zou, Jiaming Guo, Youliang Yan, Rong Xie, Li Song
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[DOI]
Injecting 3D Perception of Controllable NeRF-GAN into StyleGAN for Editable Portrait Image Synthesis- Jeong-gi Kwak, Yuanming Li, Dongsik Yoon, Donghyeon Kim, David Han, Hanseok Ko
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[DOI]
AdaNeRF: Adaptive Sampling for Real-Time Rendering of Neural Radiance Fields- Andreas Kurz, Thomas Neff, Zhaoyang Lv, Michael Zollhöfer, Markus Steinberger
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[DOI]
Improving the Perceptual Quality of 2D Animation Interpolation- Shuhong Chen, Matthias Zwicker
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[DOI]
Selective TransHDR: Transformer-Based Selective HDR Imaging Using Ghost Region Mask- Jou Won Song, Ye-In Park, Kyeongbo Kong, Jaeho Kwak, Suk-Ju Kang
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[DOI]
Learning Series-Parallel Lookup Tables for Efficient Image Super-Resolution- Cheng Ma, Jingyi Zhang, Jie Zhou, Jiwen Lu
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[DOI]
GeoAug: Data Augmentation for Few-Shot NeRF with Geometry Constraints- Di Chen, Yu Liu, Lianghua Huang, Bin Wang, Pan Pan
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[DOI]
DoodleFormer: Creative Sketch Drawing with Transformers- Ankan Kumar Bhunia, Salman Khan, Hisham Cholakkal, Rao Muhammad Anwer, Fahad Shahbaz Khan, Jorma Laaksonen, Michael Felsberg
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[DOI]
Implicit Neural Representations for Variable Length Human Motion Generation- Pablo Cervantes, Yusuke Sekikawa, Ikuro Sato, Koichi Shinoda
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[DOI]
Learning Object Placement via Dual-Path Graph Completion- Siyuan Zhou, Liu Liu, Li Niu, Liqing Zhang
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[DOI]
Expanded Adaptive Scaling Normalization for End to End Image Compression- Chajin Shin, Hyeongmin Lee, Hanbin Son, Sangjin Lee, Dogyoon Lee, Sangyoun Lee
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[DOI]
Generator Knows What Discriminator Should Learn in Unconditional GANs- Gayoung Lee, Hyunsu Kim, Junho Kim, Seonghyeon Kim, Jung-Woo Ha, Yunjey Choi
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[DOI]
Compositional Visual Generation with Composable Diffusion Models- Nan Liu, Shuang Li, Yilun Du, Antonio Torralba, Joshua B. Tenenbaum
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[DOI]
ManiFest: Manifold Deformation for Few-Shot Image Translation- Fabio Pizzati, Jean-François Lalonde, Raoul de Charette
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[DOI]
Supervised Attribute Information Removal and Reconstruction for Image Manipulation- Nannan Li, Bryan A. Plummer
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[DOI]
BLT: Bidirectional Layout Transformer for Controllable Layout Generation- Xiang Kong, Lu Jiang, Huiwen Chang, Han Zhang, Yuan Hao, Haifeng Gong, Irfan Essa
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[DOI]
Diverse Generation from a Single Video Made Possible- Niv Haim, Ben Feinstein, Niv Granot, Assaf Shocher, Shai Bagon, Tali Dekel, Michal Irani
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[DOI]
Rayleigh EigenDirections (REDs): Nonlinear GAN Latent Space Traversals for Multidimensional Features- Guha Balakrishnan, Raghudeep Gadde, Aleix Martinez, Pietro Perona
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[DOI]
Bridging the Domain Gap towards Generalization in Automatic Colorization- Hyejin Lee, Daehee Kim, Daeun Lee, Jinkyu Kim, Jaekoo Lee
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[DOI]
Generating Natural Images with Direct Patch Distributions Matching- Ariel Elnekave, Yair Weiss
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[DOI]
Context-Consistent Semantic Image Editing with Style-Preserved Modulation- Wuyang Luo, Su Yang, Hong Wang, Bo Long, Weishan Zhang
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[DOI]
Eliminating Gradient Conflict in Reference-Based Line-Art Colorization- Zekun Li, Zhengyang Geng, Zhao Kang, Wenyu Chen, Yibo Yang
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[DOI]
Unsupervised Learning of Efficient Geometry-Aware Neural Articulated Representations- Atsuhiro Noguchi, Xiao Sun, Stephen Lin, Tatsuya Harada
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[DOI]
JPEG Artifacts Removal via Contrastive Representation Learning- Xi Wang, Xueyang Fu, Yurui Zhu, Zheng-Jun Zha
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[DOI]
Unpaired Deep Image Dehazing Using Contrastive Disentanglement Learning- Xiang Chen, Zhentao Fan, Pengpeng Li, Longgang Dai, Caihua Kong, Zhuoran Zheng, Yufeng Huang, Yufeng Li
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[DOI]
Efficient Long-Range Attention Network for Image Super-Resolution- Xindong Zhang, Hui Zeng, Shi Guo, Lei Zhang
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[DOI]
FlowFormer: A Transformer Architecture for Optical Flow- Zhaoyang Huang, Xiaoyu Shi, Chao Zhang, Qiang Wang, Ka Chun Cheung, Hongwei Qin, Jifeng Dai, Hongsheng Li
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[DOI]
Coarse-to-Fine Sparse Transformer for Hyperspectral Image Reconstruction- Yuanhao Cai, Jing Lin, Xiaowan Hu, Haoqian Wang, Xin Yuan, Yulun Zhang, Radu Timofte, Luc Van Gool
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[DOI]
Learning Shadow Correspondence for Video Shadow Detection- Xinpeng Ding, Jingwen Yang, Xiaowei Hu, Xiaomeng Li
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[DOI]
Metric Learning Based Interactive Modulation for Real-World Super-Resolution- Chong Mou, Yanze Wu, Xintao Wang, Chao Dong, Jian Zhang, Ying Shan
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Dynamic Dual Trainable Bounds for Ultra-Low Precision Super-Resolution Networks- Yunshan Zhong, Mingbao Lin, Xunchao Li, Ke Li, Yunhang Shen, Fei Chao, Yongjian Wu, Rongrong Ji
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OSFormer: One-Stage Camouflaged Instance Segmentation with Transformers- Jialun Pei, Tianyang Cheng, Deng-Ping Fan, He Tang, Chuanbo Chen, Luc Van Gool
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Highly Accurate Dichotomous Image Segmentation- Xuebin Qin, Hang Dai, Xiaobin Hu, Deng-Ping Fan, Ling Shao, Luc Van Gool
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Boosting Supervised Dehazing Methods via Bi-Level Patch Reweighting- Xingyu Jiang, Hongkun Dou, Chengwei Fu, Bingquan Dai, Tianrun Xu, Yue Deng
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Flow-Guided Transformer for Video Inpainting- Kaidong Zhang, Jingjing Fu, Dong Liu
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Shift-tolerant Perceptual Similarity Metric- Abhijay Ghildyal, Feng Liu
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Perception-Distortion Balanced ADMM Optimization for Single-Image Super-Resolution- Yuehan Zhang, Bo Ji, Jia Hao, Angela Yao
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VQFR: Blind Face Restoration with Vector-Quantized Dictionary and Parallel Decoder- Yuchao Gu, Xintao Wang, Liangbin Xie, Chao Dong, Gen Li, Ying Shan, Ming-Ming Cheng
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Uncertainty Learning in Kernel Estimation for Multi-stage Blind Image Super-Resolution- Zhenxuan Fang, Weisheng Dong, Xin Li, Jinjian Wu, Leida Li, Guangming Shi
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Learning Spatio-Temporal Downsampling for Effective Video Upscaling- Xiaoyu Xiang, Yapeng Tian, Vijay Rengarajan, Lucas D. Young, Bo Zhu, Rakesh Ranjan
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Learning Local Implicit Fourier Representation for Image Warping- Jaewon Lee, Kwang Pyo Choi, Kyong Hwan Jin
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SepLUT: Separable Image-Adaptive Lookup Tables for Real-Time Image Enhancement- Canqian Yang, Meiguang Jin, Yi Xu, Rui Zhang, Ying Chen, Huaida Liu
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Blind Image Decomposition- Junlin Han, Weihao Li, Pengfei Fang, Chunyi Sun, Jie Hong, Mohammad Ali Armin, Lars Petersson, Hongdong Li
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MuLUT: Cooperating Multiple Look-Up Tables for Efficient Image Super-Resolution- Jiacheng Li, Chang Chen, Zhen Cheng, Zhiwei Xiong
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Learning Spatiotemporal Frequency-Transformer for Compressed Video Super-Resolution- Zhongwei Qiu, Huan Yang, Jianlong Fu, Dongmei Fu
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Spatial-Frequency Domain Information Integration for Pan-Sharpening- Man Zhou, Jie Huang, Keyu Yan, Hu Yu, Xueyang Fu, Aiping Liu, Xian Wei, Feng Zhao
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Adaptive Patch Exiting for Scalable Single Image Super-Resolution- Shizun Wang, Jiaming Liu, Kaixin Chen, Xiaoqi Li, Ming Lu, Yandong Guo
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Efficient Meta-Tuning for Content-Aware Neural Video Delivery- Xiaoqi Li, Jiaming Liu, Shizun Wang, Cheng Lyu, Ming Lu, Yurong Chen, Anbang Yao, Yandong Guo, Shanghang Zhang
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Reference-Based Image Super-Resolution with Deformable Attention Transformer- Jiezhang Cao, Jingyun Liang, Kai Zhang, Yawei Li, Yulun Zhang, Wenguan Wang, Luc Van Gool
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Local Color Distributions Prior for Image Enhancement- Haoyuan Wang, Ke Xu, Rynson W.H. Lau
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L-CoDer: Language-Based Colorization with Color-Object Decoupling Transformer- Zheng Chang, Shuchen Weng, Yu Li, Si Li, Boxin Shi
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From Face to Natural Image: Learning Real Degradation for Blind Image Super-Resolution- Xiaoming Li, Chaofeng Chen, Xianhui Lin, Wangmeng Zuo, Lei Zhang
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Towards Interpretable Video Super-Resolution via Alternating Optimization- Jiezhang Cao, Jingyun Liang, Kai Zhang, Wenguan Wang, Qin Wang, Yulun Zhang, Hao Tang, Luc Van Gool
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Event-Based Fusion for Motion Deblurring with Cross-Modal Attention- Lei Sun, Christos Sakaridis, Jingyun Liang, Qi Jiang, Kailun Yang, Peng Sun, Yaozu Ye, Kaiwei Wang, Luc Van Gool
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Fast and High Quality Image Denoising via Malleable Convolution- Yifan Jiang, Bartlomiej Wronski, Ben Mildenhall, Jonathan T. Barron, Zhangyang Wang, Tianfan Xue
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TAPE: Task-Agnostic Prior Embedding for Image Restoration- Lin Liu, Lingxi Xie, Xiaopeng Zhang, Shanxin Yuan, Xiangyu Chen, Wengang Zhou, Houqiang Li, Qi Tian
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Uncertainty Inspired Underwater Image Enhancement- Zhenqi Fu, Wu Wang, Yue Huang, Xinghao Ding, Kai-Kuang Ma
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Hourglass Attention Network for Image Inpainting- Ye Deng, Siqi Hui, Rongye Meng, Sanping Zhou, Jinjun Wang
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Unfolded Deep Kernel Estimation for Blind Image Super-Resolution- Hongyi Zheng, Hongwei Yong, Lei Zhang
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Event-Guided Deblurring of Unknown Exposure Time Videos- Taewoo Kim, Jeongmin Lee, Lin Wang, Kuk-Jin Yoon
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ReCoNet: Recurrent Correction Network for Fast and Efficient Multi-Modality Image Fusion- Zhanbo Huang, Jinyuan Liu, Xin Fan, Risheng Liu, Wei Zhong, Zhongxuan Luo
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Content Adaptive Latents and Decoder for Neural Image Compression- Guanbo Pan, Guo Lu, Zhihao Hu, Dong Xu
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Efficient and Degradation-Adaptive Network for Real-World Image Super-Resolution- Jie Liang, Hui Zeng, Lei Zhang
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Unidirectional Video Denoising by Mimicking Backward Recurrent Modules with Look-Ahead Forward Ones- Junyi Li, Xiaohe Wu, Zhenxing Niu, Wangmeng Zuo
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Self-Supervised Learning for Real-World Super-Resolution from Dual Zoomed Observations- Zhilu Zhang, Ruohao Wang, Hongzhi Zhang, Yunjin Chen, Wangmeng Zuo
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Secrets of Event-Based Optical Flow- Shintaro Shiba, Yoshimitsu Aoki, Guillermo Gallego
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Towards Efficient and Scale-Robust Ultra-High-Definition Image Demoiréing- Xin Yu, Peng Dai, Wenbo Li, Lan Ma, Jiajun Shen, Jia Li, Xiaojuan Qi
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ERDN: Equivalent Receptive Field Deformable Network for Video Deblurring- Bangrui Jiang, Zhihuai Xie, Zhen Xia, Songnan Li, Shan Liu
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Rethinking Generic Camera Models for Deep Single Image Camera Calibration to Recover Rotation and Fisheye Distortion- Nobuhiko Wakai, Satoshi Sato, Yasunori Ishii, Takayoshi Yamashita
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ART-SS: An Adaptive Rejection Technique for Semi-Supervised Restoration for Adverse Weather-Affected Images- Rajeev Yasarla, Carey E. Priebe, Vishal M. Patel
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Fusion from Decomposition: A Self-Supervised Decomposition Approach for Image Fusion- Pengwei Liang, Junjun Jiang, Xianming Liu, Jiayi Ma
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Learning Degradation Representations for Image Deblurring- Dasong Li, Yi Zhang, Ka Chun Cheung, Xiaogang Wang, Hongwei Qin, Hongsheng Li
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Learning Mutual Modulation for Self-Supervised Cross-Modal Super-Resolution- Xiaoyu Dong, Naoto Yokoya, Longguang Wang, Tatsumi Uezato
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Spectrum-Aware and Transferable Architecture Search for Hyperspectral Image Restoration- Wei He, Quanming Yao, Naoto Yokoya, Tatsumi Uezato, Hongyan Zhang, Liangpei Zhang
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Neural Color Operators for Sequential Image Retouching- Yili Wang, Xin Li, Kun Xu, Dongliang He, Qi Zhang, Fu Li, Errui Ding
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Optimizing Image Compression via Joint Learning with Denoising- Ka Leong Cheng, Yueqi Xie, Qifeng Chen
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"Restore Globally, Refine Locally: A Mask-Guided Scheme to Accelerate Super-Resolution Networks"- Xiaotao Hu, Jun Xu, Shuhang Gu, Ming-Ming Cheng, Li Liu
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Compiler-Aware Neural Architecture Search for On-Mobile Real-Time Super-Resolution- Yushu Wu, Yifan Gong, Pu Zhao, Yanyu Li, Zheng Zhan, Wei Niu, Hao Tang, Minghai Qin, Bin Ren, Yanzhi Wang
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Modeling Mask Uncertainty in Hyperspectral Image Reconstruction- Jiamian Wang, Yulun Zhang, Xin Yuan, Ziyi Meng, Zhiqiang Tao
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Perceiving and Modeling Density for Image Dehazing- Tian Ye, Yunchen Zhang, Mingchao Jiang, Liang Chen, Yun Liu, Sixiang Chen, Erkang Chen
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Stripformer: Strip Transformer for Fast Image Deblurring- Fu-Jen Tsai, Yan-Tsung Peng, Yen-Yu Lin, Chung-Chi Tsai, Chia-Wen Lin
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Deep Fourier-Based Exposure Correction Network with Spatial-Frequency Interaction- Jie Huang, Yajing Liu, Feng Zhao, Keyu Yan, Jinghao Zhang, Yukun Huang, Man Zhou, Zhiwei Xiong
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Frequency and Spatial Dual Guidance for Image Dehazing- Hu Yu, Naishan Zheng, Man Zhou, Jie Huang, Zeyu Xiao, Feng Zhao
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Towards Real-World HDRTV Reconstruction: A Data Synthesis-Based Approach- Zhen Cheng, Tao Wang, Yong Li, Fenglong Song, Chang Chen, Zhiwei Xiong
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Learning Discriminative Shrinkage Deep Networks for Image Deconvolution- Pin-Hung Kuo, Jinshan Pan, Shao-Yi Chien, Ming-Hsuan Yang
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KXNet: A Model-Driven Deep Neural Network for Blind Super-Resolution- Jiahong Fu, Hong Wang, Qi Xie, Qian Zhao, Deyu Meng, Zongben Xu
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ARM: Any-Time Super-Resolution Method- Bohong Chen, Mingbao Lin, Kekai Sheng, Mengdan Zhang, Peixian Chen, Ke Li, Liujuan Cao, Rongrong Ji
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Attention-Aware Learning for Hyperparameter Prediction in Image Processing Pipelines- Haina Qin, Longfei Han, Juan Wang, Congxuan Zhang, Yanwei Li, Bing Li, Weiming Hu
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RealFlow: EM-Based Realistic Optical Flow Dataset Generation from Videos- Yunhui Han, Kunming Luo, Ao Luo, Jiangyu Liu, Haoqiang Fan, Guiming Luo, Shuaicheng Liu
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Memory-Augmented Model-Driven Network for Pansharpening- Keyu Yan, Man Zhou, Li Zhang, Chengjun Xie
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All You Need Is RAW: Defending against Adversarial Attacks with Camera Image Pipelines- Yuxuan Zhang, Bo Dong, Felix Heide
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Ghost-Free High Dynamic Range Imaging with Context-Aware Transformer- Zhen Liu, Yinglong Wang, Bing Zeng, Shuaicheng Liu
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Style-Guided Shadow Removal- Jin Wan, Hui Yin, Zhenyao Wu, Xinyi Wu, Yanting Liu, Song Wang
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D2C-SR: A Divergence to Convergence Approach for Real-World Image Super-Resolution- Youwei Li, Haibin Huang, Lanpeng Jia, Haoqiang Fan, Shuaicheng Liu
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GRIT-VLP: Grouped Mini-Batch Sampling for Efficient Vision and Language Pre-training- Jaeseok Byun, Taebaek Hwang, Jianlong Fu, Taesup Moon
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Efficient Video Deblurring Guided by Motion Magnitude- Yusheng Wang, Yunfan Lu, Ye Gao, Lin Wang, Zhihang Zhong, Yinqiang Zheng, Atsushi Yamashita
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Single Frame Atmospheric Turbulence Mitigation: A Benchmark Study and a New Physics-Inspired Transformer Model- Zhiyuan Mao, Ajay Jaiswal, Zhangyang Wang, Stanley H. Chan
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Contextformer: A Transformer with Spatio-Channel Attention for Context Modeling in Learned Image Compression- A. Burakhan Koyuncu, Han Gao, Atanas Boev, Georgii Gaikov, Elena Alshina, Eckehard Steinbach
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Image Super-Resolution with Deep Dictionary- Shunta Maeda
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TempFormer: Temporally Consistent Transformer for Video Denoising- Mingyang Song, Yang Zhang, Tunç O. Aydın
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RAWtoBit: A Fully End-to-End Camera ISP Network- Wooseok Jeong, Seung-Won Jung
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DRCNet: Dynamic Image Restoration Contrastive Network- Fei Li, Lingfeng Shen, Yang Mi, Zhenbo Li
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Zero-Shot Learning for Reflection Removal of Single 360-Degree Image- Byeong-Ju Han, Jae-Young Sim
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Transformer with Implicit Edges for Particle-Based Physics Simulation- Yidi Shao, Chen Change Loy, Bo Dai
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Rethinking Video Rain Streak Removal: A New Synthesis Model and a Deraining Network with Video Rain Prior- Shuai Wang, Lei Zhu, Huazhu Fu, Jing Qin, Carola-Bibiane Schönlieb, Wei Feng, Song Wang
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Super-Resolution by Predicting Offsets: An Ultra-Efficient Super-Resolution Network for Rasterized Images- Jinjin Gu, Haoming Cai, Chenyu Dong, Ruofan Zhang, Yulun Zhang, Wenming Yang, Chun Yuan
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Animation from Blur: Multi-modal Blur Decomposition with Motion Guidance- Zhihang Zhong, Xiao Sun, Zhirong Wu, Yinqiang Zheng, Stephen Lin, Imari Sato
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AlphaVC: High-Performance and Efficient Learned Video Compression- Yibo Shi, Yunying Ge, Jing Wang, Jue Mao
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Content-Oriented Learned Image Compression- Meng Li, Shangyin Gao, Yihui Feng, Yibo Shi, Jing Wang
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RRSR:Reciprocal Reference-Based Image Super-Resolution with Progressive Feature Alignment and Selection- Lin Zhang, Xin Li, Dongliang He, Fu Li, Yili Wang, Zhaoxiang Zhang
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Contrastive Prototypical Network with Wasserstein Confidence Penalty- Haoqing Wang, Zhi-Hong Deng
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Learn-to-Decompose: Cascaded Decomposition Network for Cross-Domain Few-Shot Facial Expression Recognition- Xinyi Zou, Yan Yan, Jing-Hao Xue, Si Chen, Hanzi Wang
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Self-Support Few-Shot Semantic Segmentation- Qi Fan, Wenjie Pei, Yu-Wing Tai, Chi-Keung Tang
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Few-Shot Object Detection with Model Calibration- Qi Fan, Chi-Keung Tang, Yu-Wing Tai
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Self-Supervision Can Be a Good Few-Shot Learner- Yuning Lu, Liangjian Wen, Jianzhuang Liu, Yajing Liu, Xinmei Tian
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tSF: Transformer-Based Semantic Filter for Few-Shot Learning- Jinxiang Lai, Siqian Yang, Wenlong Liu, Yi Zeng, Zhongyi Huang, Wenlong Wu, Jun Liu, Bin-Bin Gao, Chengjie Wang
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Adversarial Feature Augmentation for Cross-Domain Few-Shot Classification- Yanxu Hu, Andy J. Ma
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Constructing Balance from Imbalance for Long-Tailed Image Recognition- Yue Xu, Yong-Lu Li, Jiefeng Li, Cewu Lu
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"On Multi-Domain Long-Tailed Recognition, Imbalanced Domain Generalization and Beyond"- Yuzhe Yang, Hao Wang, Dina Katabi
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Few-Shot Video Object Detection- Qi Fan, Chi-Keung Tang, Yu-Wing Tai
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Worst Case Matters for Few-Shot Recognition- Minghao Fu, Yun-Hao Cao, Jianxin Wu
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Exploring Hierarchical Graph Representation for Large-Scale Zero-Shot Image Classification- Kai Yi, Xiaoqian Shen, Yunhao Gou, Mohamed Elhoseiny
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Doubly Deformable Aggregation of Covariance Matrices for Few-Shot Segmentation- Zhitong Xiong, Haopeng Li, Xiao Xiang Zhu
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Dense Cross-Query-and-Support Attention Weighted Mask Aggregation for Few-Shot Segmentation- Xinyu Shi, Dong Wei, Yu Zhang, Donghuan Lu, Munan Ning, Jiashun Chen, Kai Ma, Yefeng Zheng
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Rethinking Clustering-Based Pseudo-Labeling for Unsupervised Meta-Learning- Xingping Dong, Jianbing Shen, Ling Shao
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CLASTER: Clustering with Reinforcement Learning for Zero-Shot Action Recognition- Shreyank N Gowda, Laura Sevilla-Lara, Frank Keller, Marcus Rohrbach
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Few-Shot Class-Incremental Learning for 3D Point Cloud Objects- Townim Chowdhury, Ali Cheraghian, Sameera Ramasinghe, Sahar Ahmadi, Morteza Saberi, Shafin Rahman
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Meta-Learning with Less Forgetting on Large-Scale Non-stationary Task Distributions- Zhenyi Wang, Li Shen, Le Fang, Qiuling Suo, Donglin Zhan, Tiehang Duan, Mingchen Gao
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DNA: Improving Few-Shot Transfer Learning with Low-Rank Decomposition and Alignment- Ziyu Jiang, Tianlong Chen, Xuxi Chen, Yu Cheng, Luowei Zhou, Lu Yuan, Ahmed Awadallah, Zhangyang Wang
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Learning Instance and Task-Aware Dynamic Kernels for Few-Shot Learning- Rongkai Ma, Pengfei Fang, Gil Avraham, Yan Zuo, Tianyu Zhu, Tom Drummond, Mehrtash Harandi
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Open-World Semantic Segmentation via Contrasting and Clustering Vision-Language Embedding- Quande Liu, Youpeng Wen, Jianhua Han, Chunjing Xu, Hang Xu, Xiaodan Liang
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Few-Shot Classification with Contrastive Learning- Zhanyuan Yang, Jinghua Wang, Yingying Zhu
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Time-rEversed diffusioN tEnsor Transformer: A New TENET of Few-Shot Object Detection- Shan Zhang, Naila Murray, Lei Wang, Piotr Koniusz
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Self-Promoted Supervision for Few-Shot Transformer- Bowen Dong, Pan Zhou, Shuicheng Yan, Wangmeng Zuo
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Few-Shot Object Counting and Detection- Thanh Nguyen, Chau Pham, Khoi Nguyen, Minh Hoai
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Rethinking Few-Shot Object Detection on a Multi-Domain Benchmark- Kibok Lee, Hao Yang, Satyaki Chakraborty, Zhaowei Cai, Gurumurthy Swaminathan, Avinash Ravichandran, Onkar Dabeer
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Cross-Domain Cross-Set Few-Shot Learning via Learning Compact and Aligned Representations- Wentao Chen, Zhang Zhang, Wei Wang, Liang Wang, Zilei Wang, Tieniu Tan
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Mutually Reinforcing Structure with Proposal Contrastive Consistency for Few-Shot Object Detection- Tianxue Ma, Mingwei Bi, Jian Zhang, Wang Yuan, Zhizhong Zhang, Yuan Xie, Shouhong Ding, Lizhuang Ma
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Dual Contrastive Learning with Anatomical Auxiliary Supervision for Few-Shot Medical Image Segmentation- Huisi Wu, Fangyan Xiao, Chongxin Liang
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Improving Few-Shot Learning through Multi-task Representation Learning Theory- Quentin Bouniot, Ievgen Redko, Romaric Audigier, Angélique Loesch, Amaury Habrard
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Tree Structure-Aware Few-Shot Image Classification via Hierarchical Aggregation- Min Zhang, Siteng Huang, Wenbin Li, Donglin Wang
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Inductive and Transductive Few-Shot Video Classification via Appearance and Temporal Alignments- Khoi D. Nguyen, Quoc-Huy Tran, Khoi Nguyen, Binh-Son Hua, Rang Nguyen
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Temporal and Cross-Modal Attention for Audio-Visual Zero-Shot Learning- Otniel-Bogdan Mercea, Thomas Hummel, A. Sophia Koepke, Zeynep Akata
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HM: Hybrid Masking for Few-Shot Segmentation- Seonghyeon Moon, Samuel S. Sohn, Honglu Zhou, Sejong Yoon, Vladimir Pavlovic, Muhammad Haris Khan, Mubbasir Kapadia
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TransVLAD: Focusing on Locally Aggregated Descriptors for Few-Shot Learning- Haoquan Li, Laoming Zhang, Daoan Zhang, Lang Fu, Peng Yang, Jianguo Zhang
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Kernel Relative-Prototype Spectral Filtering for Few-Shot Learning- Tao Zhang, Wu Huang
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"“This Is My Unicorn, Fluffy”: Personalizing Frozen Vision-Language Representations"- Niv Cohen, Rinon Gal, Eli A. Meirom, Gal Chechik, Yuval Atzmon
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CLOSE: Curriculum Learning on the Sharing Extent towards Better One-Shot NAS- Zixuan Zhou, Xuefei Ning, Yi Cai, Jiashu Han, Yiping Deng, Yuhan Dong, Huazhong Yang, Yu Wang
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Streamable Neural Fields- Junwoo Cho, Seungtae Nam, Daniel Rho, Jong Hwan Ko, Eunbyung Park
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Gradient-Based Uncertainty for Monocular Depth Estimation- Julia Hornauer, Vasileios Belagiannis
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Online Continual Learning with Contrastive Vision Transformer- Zhen Wang, Liu Liu, Yajing Kong, Jiaxian Guo, Dacheng Tao
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CPrune: Compiler-Informed Model Pruning for Efficient Target-Aware DNN Execution- Taeho Kim, Yongin Kwon, Jemin Lee, Taeho Kim, Sangtae Ha
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EAutoDet: Efficient Architecture Search for Object Detection- Xiaoxing Wang, Jiale Lin, Juanping Zhao, Xiaokang Yang, Junchi Yan
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A Max-Flow Based Approach for Neural Architecture Search- Chao Xue, Xiaoxing Wang, Junchi Yan, Chun-Guang Li
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OccamNets: Mitigating Dataset Bias by Favoring Simpler Hypotheses- Robik Shrestha, Kushal Kafle, Christopher Kanan
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ERA: Enhanced Rational Activations- Martin Trimmel, Mihai Zanfir, Richard Hartley, Cristian Sminchisescu
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Convolutional Embedding Makes Hierarchical Vision Transformer Stronger- Cong Wang, Hongmin Xu, Xiong Zhang, Li Wang, Zhitong Zheng, Haifeng Liu
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Active Label Correction Using Robust Parameter Update and Entropy Propagation- Kwang In Kim
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Unpaired Image Translation via Vector Symbolic Architectures- Justin Theiss, Jay Leverett, Daeil Kim, Aayush Prakash
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"UniNet: Unified Architecture Search with Convolution, Transformer, and MLP"- Jihao Liu, Xin Huang, Guanglu Song, Hongsheng Li, Yu Liu
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AMixer: Adaptive Weight Mixing for Self-Attention Free Vision Transformers- Yongming Rao, Wenliang Zhao, Jie Zhou, Jiwen Lu
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TinyViT: Fast Pretraining Distillation for Small Vision Transformers- Kan Wu, Jinnian Zhang, Houwen Peng, Mengchen Liu, Bin Xiao, Jianlong Fu, Lu Yuan
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Equivariant Hypergraph Neural Networks- Jinwoo Kim, Saeyoon Oh, Sungjun Cho, Seunghoon Hong
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ScaleNet: Searching for the Model to Scale- Jiyang Xie, Xiu Su, Shan You, Zhanyu Ma, Fei Wang, Chen Qian
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Complementing Brightness Constancy with Deep Networks for Optical Flow Prediction- Vincent Le Guen, Clément Rambour, Nicolas Thome
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ViTAS: Vision Transformer Architecture Search- Xiu Su, Shan You, Jiyang Xie, Mingkai Zheng, Fei Wang, Chen Qian, Changshui Zhang, Xiaogang Wang, Chang Xu
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LidarNAS: Unifying and Searching Neural Architectures for 3D Point Clouds- Chenxi Liu, Zhaoqi Leng, Pei Sun, Shuyang Cheng, Charles R. Qi, Yin Zhou, Mingxing Tan, Dragomir Anguelov
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Uncertainty-DTW for Time Series and Sequences- Lei Wang, Piotr Koniusz
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Black-Box Few-Shot Knowledge Distillation- Dang Nguyen, Sunil Gupta, Kien Do, Svetha Venkatesh
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Revisiting Batch Norm Initialization- Jim Davis, Logan Frank
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SSBNet: Improving Visual Recognition Efficiency by Adaptive Sampling- Ho Man Kwan, Shenghui Song
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Filter Pruning via Feature Discrimination in Deep Neural Networks- Zhiqiang He, Yaguan Qian, Yuqi Wang, Bin Wang, Xiaohui Guan, Zhaoquan Gu, Xiang Ling, Shaoning Zeng, Haijiang Wang, Wujie Zhou
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LA3: Efficient Label-Aware AutoAugment- Mingjun Zhao, Shan Lu, Zixuan Wang, Xiaoli Wang, Di Niu
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Interpretations Steered Network Pruning via Amortized Inferred Saliency Maps- Alireza Ganjdanesh, Shangqian Gao, Heng Huang
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BA-Net: Bridge Attention for Deep Convolutional Neural Networks- Yue Zhao, Junzhou Chen, Zirui Zhang, Ronghui Zhang
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SAU: Smooth Activation Function Using Convolution with Approximate Identities- Koushik Biswas, Sandeep Kumar, Shilpak Banerjee, Ashish Kumar Pandey
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Multi-Exit Semantic Segmentation Networks- Alexandros Kouris, Stylianos I. Venieris, Stefanos Laskaridis, Nicholas Lane
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Almost-Orthogonal Layers for Efficient General-Purpose Lipschitz Networks- Bernd Prach, Christoph H. Lampert
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PointScatter: Point Set Representation for Tubular Structure Extraction- Dong Wang, Zhao Zhang, Ziwei Zhao, Yuhang Liu, Yihong Chen, Liwei Wang
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Check and Link: Pairwise Lesion Correspondence Guides Mammogram Mass Detection- Ziwei Zhao, Dong Wang, Yihong Chen, Ziteng Wang, Liwei Wang
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[DOI]
Graph-Constrained Contrastive Regularization for Semi-Weakly Volumetric Segmentation- Simon Reiß, Constantin Seibold, Alexander Freytag, Erik Rodner, Rainer Stiefelhagen
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[DOI]
Generalizable Medical Image Segmentation via Random Amplitude Mixup and Domain-Specific Image Restoration- Ziqi Zhou, Lei Qi, Yinghuan Shi
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[DOI]
Auto-FedRL: Federated Hyperparameter Optimization for Multi-Institutional Medical Image Segmentation- Pengfei Guo, Dong Yang, Ali Hatamizadeh, An Xu, Ziyue Xu, Wenqi Li, Can Zhao, Daguang Xu, Stephanie Harmon, Evrim Turkbey, Baris Turkbey, Bradford Wood, Francesca Patella, Elvira Stellato, Gianpaolo Carrafiello, Vishal M. Patel, Holger R. Roth
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[DOI]
Personalizing Federated Medical Image Segmentation via Local Calibration- Jiacheng Wang, Yueming Jin, Liansheng Wang
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[DOI]
One-Shot Medical Landmark Localization by Edge-Guided Transform and Noisy Landmark Refinement- Zihao Yin, Ping Gong, Chunyu Wang, Yizhou Yu, Yizhou Wang
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[DOI]
Ultra-High-Resolution Unpaired Stain Transformation via Kernelized Instance Normalization- Ming-Yang Ho, Min-Sheng Wu, Che-Ming Wu
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[DOI]
Med-DANet: Dynamic Architecture Network for Efficient Medical Volumetric Segmentation- Wenxuan Wang, Chen Chen, Jing Wang, Sen Zha, Yan Zhang, Jiangyun Li
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[DOI]
ConCL: Concept Contrastive Learning for Dense Prediction Pre-training in Pathology Images- Jiawei Yang, Hanbo Chen, Yuan Liang, Junzhou Huang, Lei He, Jianhua Yao
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[DOI]
CryoAI: Amortized Inference of Poses for Ab Initio Reconstruction of 3D Molecular Volumes from Real Cryo-EM Images- Axel Levy, Frédéric Poitevin, Julien Martel, Youssef Nashed, Ariana Peck, Nina Miolane, Daniel Ratner, Mike Dunne, Gordon Wetzstein
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[DOI]
UniMiSS: Universal Medical Self-Supervised Learning via Breaking Dimensionality Barrier- Yutong Xie, Jianpeng Zhang, Yong Xia, Qi Wu
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[DOI]
DLME: Deep Local-Flatness Manifold Embedding- Zelin Zang, Siyuan Li, Di Wu, Ge Wang, Kai Wang, Lei Shang, Baigui Sun, Hao Li, Stan Z. Li
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[DOI]
Semi-Supervised Keypoint Detector and Descriptor for Retinal Image Matching- Jiazhen Liu, Xirong Li, Qijie Wei, Jie Xu, Dayong Ding
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[DOI]
Graph Neural Network for Cell Tracking in Microscopy Videos- Tal Ben-Haim, Tammy Riklin Raviv
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[DOI]
CXR Segmentation by AdaIN-Based Domain Adaptation and Knowledge Distillation- Yujin Oh, Jong Chul Ye
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[DOI]
Accurate Detection of Proteins in Cryo-Electron Tomograms from Sparse Labels- Qinwen Huang, Ye Zhou, Hsuan-Fu Liu, Alberto Bartesaghi
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[DOI]
K-SALSA: K-Anonymous Synthetic Averaging of Retinal Images via Local Style Alignment- Minkyu Jeon, Hyeonjin Park, Hyunwoo J. Kim, Michael Morley, Hyunghoon Cho
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[DOI]
RadioTransformer: A Cascaded Global-Focal Transformer for Visual Attention-Guided Disease Classification- Moinak Bhattacharya, Shubham Jain, Prateek Prasanna
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[DOI]
Differentiable Zooming for Multiple Instance Learning on Whole-Slide Images- Kevin Thandiackal, Boqi Chen, Pushpak Pati, Guillaume Jaume, Drew F. K. Williamson, Maria Gabrani, Orcun Goksel
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[DOI]
Learning Uncoupled-Modulation CVAE for 3D Action-Conditioned Human Motion Synthesis- Chongyang Zhong, Lei Hu, Zihao Zhang, Shihong Xia
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[DOI]
Towards Grand Unification of Object Tracking- Bin Yan, Yi Jiang, Peize Sun, Dong Wang, Zehuan Yuan, Ping Luo, Huchuan Lu
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[DOI]
ByteTrack: Multi-Object Tracking by Associating Every Detection Box- Yifu Zhang, Peize Sun, Yi Jiang, Dongdong Yu, Fucheng Weng, Zehuan Yuan, Ping Luo, Wenyu Liu, Xinggang Wang
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[DOI]
Robust Multi-Object Tracking by Marginal Inference- Yifu Zhang, Chunyu Wang, Xinggang Wang, Wenjun Zeng, Wenyu Liu
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[DOI]
PolarMOT: How Far Can Geometric Relations Take Us in 3D Multi-Object Tracking?- Aleksandr Kim, Guillem Brasó, Aljoša Ošep, Laura Leal-Taixé
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[DOI]
Particle Video Revisited: Tracking through Occlusions Using Point Trajectories- Adam W. Harley, Zhaoyuan Fang, Katerina Fragkiadaki
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[DOI]
Tracking Objects As Pixel-Wise Distributions- Zelin Zhao, Ze Wu, Yueqing Zhuang, Boxun Li, Jiaya Jia
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[DOI]
CMT: Context-Matching-Guided Transformer for 3D Tracking in Point Clouds- Zhiyang Guo, Yunyao Mao, Wengang Zhou, Min Wang, Houqiang Li
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[DOI]
Towards Generic 3D Tracking in RGBD Videos: Benchmark and Baseline- Jinyu Yang, Zhongqun Zhang, Zhe Li, Hyung Jin Chang, Aleš Leonardis, Feng Zheng
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[DOI]
Hierarchical Latent Structure for Multi-modal Vehicle Trajectory Forecasting- Dooseop Choi, KyoungWook Min
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[DOI]
AiATrack: Attention in Attention for Transformer Visual Tracking- Shenyuan Gao, Chunluan Zhou, Chao Ma, Xinggang Wang, Junsong Yuan
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[DOI]
Disentangling Architecture and Training for Optical Flow- Deqing Sun, Charles Herrmann, Fitsum Reda, Michael Rubinstein, David J. Fleet, William T. Freeman
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[DOI]
A Perturbation-Constrained Adversarial Attack for Evaluating the Robustness of Optical Flow- Jenny Schmalfuss, Philipp Scholze, Andrés Bruhn
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[DOI]
Robust Landmark-Based Stent Tracking in X-Ray Fluoroscopy- Luojie Huang, Yikang Liu, Li Chen, Eric Z. Chen, Xiao Chen, Shanhui Sun
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[DOI]
Social ODE: Multi-agent Trajectory Forecasting with Neural Ordinary Differential Equations- Song Wen, Hao Wang, Dimitris N. Metaxas
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[DOI]
Social-SSL: Self-Supervised Cross-Sequence Representation Learning Based on Transformers for Multi-agent Trajectory Prediction- Li-Wu Tsao, Yan-Kai Wang, Hao-Siang Lin, Hong-Han Shuai, Lai-Kuan Wong, Wen-Huang Cheng
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[DOI]
Diverse Human Motion Prediction Guided by Multi-level Spatial-Temporal Anchors- Sirui Xu, Yu-Xiong Wang, Liang-Yan Gui
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[DOI]
Learning Pedestrian Group Representations for Multi-modal Trajectory Prediction- Inhwan Bae, Jin-Hwi Park, Hae-Gon Jeon
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[DOI]
Sequential Multi-View Fusion Network for Fast LiDAR Point Motion Estimation- Gang Zhang, Xiaoyan Li, Zhenhua Wang
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[DOI]
E-Graph: Minimal Solution for Rigid Rotation with Extensibility Graphs- Yanyan Li, Federico Tombari
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[DOI]
Point Cloud Compression with Range Image-Based Entropy Model for Autonomous Driving- Sukai Wang, Ming Liu
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[DOI]
Joint Feature Learning and Relation Modeling for Tracking: A One-Stream Framework- Botao Ye, Hong Chang, Bingpeng Ma, Shiguang Shan, Xilin Chen
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[DOI]
MotionCLIP: Exposing Human Motion Generation to CLIP Space- Guy Tevet, Brian Gordon, Amir Hertz, Amit H. Bermano, Daniel Cohen-Or
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[DOI]
Backbone Is All Your Need: A Simplified Architecture for Visual Object Tracking- Boyu Chen, Peixia Li, Lei Bai, Lei Qiao, Qiuhong Shen, Bo Li, Weihao Gan, Wei Wu, Wanli Ouyang
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[DOI]
Aware of the History: Trajectory Forecasting with the Local Behavior Data- Yiqi Zhong, Zhenyang Ni, Siheng Chen, Ulrich Neumann
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[DOI]
Optical Flow Training under Limited Label Budget via Active Learning- Shuai Yuan, Xian Sun, Hannah Kim, Shuzhi Yu, Carlo Tomasi
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[DOI]
Hierarchical Feature Embedding for Visual Tracking- Zhixiong Pi, Weitao Wan, Chong Sun, Changxin Gao, Nong Sang, Chen Li
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[DOI]
Tackling Background Distraction in Video Object Segmentation- Suhwan Cho, Heansung Lee, Minhyeok Lee, Chaewon Park, Sungjun Jang, Minjung Kim, Sangyoun Lee
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[DOI]
Social-Implicit: Rethinking Trajectory Prediction Evaluation and the Effectiveness of Implicit Maximum Likelihood Estimation- Abduallah Mohamed, Deyao Zhu, Warren Vu, Mohamed Elhoseiny, Christian Claudel
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[DOI]
TEMOS: Generating Diverse Human Motions from Textual Descriptions- Mathis Petrovich, Michael J. Black, Gül Varol
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[DOI]
Tracking Every Thing in the Wild- Siyuan Li, Martin Danelljan, Henghui Ding, Thomas E. Huang, Fisher Yu
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[DOI]
HULC: 3D HUman Motion Capture with Pose Manifold SampLing and Dense Contact Guidance- Soshi Shimada, Vladislav Golyanik, Zhi Li, Patrick Pérez, Weipeng Xu, Christian Theobalt
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[DOI]
Towards Sequence-Level Training for Visual Tracking- Minji Kim, Seungkwan Lee, Jungseul Ok, Bohyung Han, Minsu Cho
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[DOI]
Learned Monocular Depth Priors in Visual-Inertial Initialization- Yunwen Zhou, Abhishek Kar, Eric Turner, Adarsh Kowdle, Chao X. Guo, Ryan C. DuToit, Konstantine Tsotsos
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[DOI]
Robust Visual Tracking by Segmentation- Matthieu Paul, Martin Danelljan, Christoph Mayer, Luc Van Gool
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[DOI]
MeshLoc: Mesh-Based Visual Localization- Vojtech Panek, Zuzana Kukelova, Torsten Sattler
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[DOI]
S2F2: Single-Stage Flow Forecasting for Future Multiple Trajectories Prediction- Yu-Wen Chen, Hsuan-Kung Yang, Chu-Chi Chiu, Chun-Yi Lee
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[DOI]
Large-Displacement 3D Object Tracking with Hybrid Non-local Optimization- Xuhui Tian, Xinran Lin, Fan Zhong, Xueying Qin
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[DOI]
"FEAR: Fast, Efficient, Accurate and Robust Visual Tracker"- Vasyl Borsuk, Roman Vei, Orest Kupyn, Tetiana Martyniuk, Igor Krashenyi, Jiři Matas
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[DOI]
PREF: Predictability Regularized Neural Motion Fields- Liangchen Song, Xuan Gong, Benjamin Planche, Meng Zheng, David Doermann, Junsong Yuan, Terrence Chen, Ziyan Wu
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[DOI]
View Vertically: A Hierarchical Network for Trajectory Prediction via Fourier Spectrums- Conghao Wong, Beihao Xia, Ziming Hong, Qinmu Peng, Wei Yuan, Qiong Cao, Yibo Yang, Xinge You
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[DOI]
"HVC-Net: Unifying Homography, Visibility, and Confidence Learning for Planar Object Tracking"- Haoxian Zhang, Yonggen Ling
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[DOI]
RamGAN: Region Attentive Morphing GAN for Region-Level Makeup Transfer- Jianfeng Xiang, Junliang Chen, Wenshuang Liu, Xianxu Hou, Linlin Shen
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[DOI]
SinNeRF: Training Neural Radiance Fields on Complex Scenes from a Single Image- Dejia Xu, Yifan Jiang, Peihao Wang, Zhiwen Fan, Humphrey Shi, Zhangyang Wang
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[DOI]
Entropy-Driven Sampling and Training Scheme for Conditional Diffusion Generation- Guangcong Zheng, Shengming Li, Hui Wang, Taiping Yao, Yang Chen, Shouhong Ding, Xi Li
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[DOI]
Accelerating Score-Based Generative Models with Preconditioned Diffusion Sampling- Hengyuan Ma, Li Zhang, Xiatian Zhu, Jianfeng Feng
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[DOI]
Learning to Generate Realistic LiDAR Point Clouds- Vlas Zyrianov, Xiyue Zhu, Shenlong Wang
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[DOI]
RFNet-4D: Joint Object Reconstruction and Flow Estimation from 4D Point Clouds- Tuan-Anh Vu, Thanh Nguyen, Binh-Son Hua, Quang-Hieu Pham, Sai-Kit Yeung
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[DOI]
Diverse Image Inpainting with Normalizing Flow- Cairong Wang, Yiming Zhu, Chun Yuan
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[DOI]
Improved Masked Image Generation with Token-Critic- José Lezama, Huiwen Chang, Lu Jiang, Irfan Essa
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[DOI]
TREND: Truncated Generalized Normal Density Estimation of Inception Embeddings for GAN Evaluation- Junghyuk Lee, Jong-Seok Lee
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[DOI]
Exploring Gradient-Based Multi-directional Controls in GANs- Zikun Chen, Ruowei Jiang, Brendan Duke, Han Zhao, Parham Aarabi
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[DOI]
Spatially Invariant Unsupervised 3D Object-Centric Learning and Scene Decomposition- Tianyu Wang, Miaomiao Liu, Kee Siong Ng
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[DOI]
Neural Scene Decoration from a Single Photograph- Hong-Wing Pang, Yingshu Chen, Phuoc-Hieu Le, Binh-Son Hua, Thanh Nguyen, Sai-Kit Yeung
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[DOI]
Outpainting by Queries- Kai Yao, Penglei Gao, Xi Yang, Jie Sun, Rui Zhang, Kaizhu Huang
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[DOI]
Unleashing Transformers: Parallel Token Prediction with Discrete Absorbing Diffusion for Fast High-Resolution Image Generation from Vector-Quantized Codes- Sam Bond-Taylor, Peter Hessey, Hiroshi Sasaki, Toby P. Breckon, Chris G. Willcocks
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[DOI]
ChunkyGAN: Real Image Inversion via Segments- Adéla Šubrtová, David Futschik, Jan Čech, Michal Lukáč, Eli Shechtman, Daniel Sýkora
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[DOI]
GAN Cocktail: Mixing GANs without Dataset Access- Omri Avrahami, Dani Lischinski, Ohad Fried
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[DOI]
Geometry-Guided Progressive NeRF for Generalizable and Efficient Neural Human Rendering- Mingfei Chen, Jianfeng Zhang, Xiangyu Xu, Lijuan Liu, Yujun Cai, Jiashi Feng, Shuicheng Yan
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[DOI]
Controllable Shadow Generation Using Pixel Height Maps- Yichen Sheng, Yifan Liu, Jianming Zhang, Wei Yin, A. Cengiz Oztireli, He Zhang, Zhe Lin, Eli Shechtman, Bedrich Benes
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[DOI]
Learning Where to Look – Generative NAS Is Surprisingly Efficient- Jovita Lukasik, Steffen Jung, Margret Keuper
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[DOI]
Subspace Diffusion Generative Models- Bowen Jing, Gabriele Corso, Renato Berlinghieri, Tommi Jaakkola
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[DOI]
DuelGAN: A Duel between Two Discriminators Stabilizes the GAN Training- Jiaheng Wei, Minghao Liu, Jiahao Luo, Andrew Zhu, James Davis, Yang Liu
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[DOI]
MINER: Multiscale Implicit Neural Representation- Vishwanath Saragadam, Jasper Tan, Guha Balakrishnan, Richard G. Baraniuk, Ashok Veeraraghavan
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[DOI]
An Embedded Feature Whitening Approach to Deep Neural Network Optimization- Hongwei Yong, Lei Zhang
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[DOI]
Q-FW: A Hybrid Classical-Quantum Frank-Wolfe for Quadratic Binary Optimization- Alp Yurtsever, Tolga Birdal, Vladislav Golyanik
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[DOI]
Self-Supervised Learning of Visual Graph Matching- Chang Liu, Shaofeng Zhang, Xiaokang Yang, Junchi Yan
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[DOI]
Scalable Learning to Optimize: A Learned Optimizer Can Train Big Models- Xuxi Chen, Tianlong Chen, Yu Cheng, Weizhu Chen, Ahmed Awadallah, Zhangyang Wang
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[DOI]
QISTA-ImageNet: A Deep Compressive Image Sensing Framework Solving lq-Norm Optimization Problem- Gang-Xuan Lin, Shih-Wei Hu, Chun-Shien Lu
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[DOI]
R-DFCIL: Relation-Guided Representation Learning for Data-Free Class Incremental Learning- Qiankun Gao, Chen Zhao, Bernard Ghanem, Jian Zhang
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[DOI]
Domain Generalization by Mutual-Information Regularization with Pre-trained Models- Junbum Cha, Kyungjae Lee, Sungrae Park, Sanghyuk Chun
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[DOI]
Predicting Is Not Understanding: Recognizing and Addressing Underspecification in Machine Learning- Damien Teney, Maxime Peyrard, Ehsan Abbasnejad
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[DOI]
Neural-Sim: Learning to Generate Training Data with NeRF- Yunhao Ge, Harkirat Behl, Jiashu Xu, Suriya Gunasekar, Neel Joshi, Yale Song, Xin Wang, Laurent Itti, Vibhav Vineet
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[DOI]
Bayesian Optimization with Clustering and Rollback for CNN Auto Pruning- Hanwei Fan, Jiandong Mu, Wei Zhang
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[DOI]
Learned Variational Video Color Propagation- Markus Hofinger, Erich Kobler, Alexander Effland, Thomas Pock
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[DOI]
Continual Variational Autoencoder Learning via Online Cooperative Memorization- Fei Ye, Adrian G. Bors
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[DOI]
Learning to Learn with Smooth Regularization- Yuanhao Xiong, Cho-Jui Hsieh
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[DOI]
Incremental Task Learning with Incremental Rank Updates- Rakib Hyder, Ken Shao, Boyu Hou, Panos Markopoulos, Ashley Prater-Bennette, M. Salman Asif
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[DOI]
Batch-Efficient EigenDecomposition for Small and Medium Matrices- Yue Song, Nicu Sebe, Wei Wang
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[DOI]
Ensemble Learning Priors Driven Deep Unfolding for Scalable Video Snapshot Compressive Imaging- Chengshuai Yang, Shiyu Zhang, Xin Yuan
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[DOI]
Approximate Discrete Optimal Transport Plan with Auxiliary Measure Method- Dongsheng An, Na Lei, Xianfeng Gu
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[DOI]
A Comparative Study of Graph Matching Algorithms in Computer Vision- Stefan Haller, Lorenz Feineis, Lisa Hutschenreiter, Florian Bernard, Carsten Rother, Dagmar Kainmüller, Paul Swoboda, Bogdan Savchynskyy
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Improving Generalization in Federated Learning by Seeking Flat Minima- Debora Caldarola, Barbara Caputo, Marco Ciccone
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[DOI]
Semidefinite Relaxations of Truncated Least-Squares in Robust Rotation Search: Tight or Not- Liangzu Peng, Mahyar Fazlyab, René Vidal
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[DOI]
Transfer without Forgetting- Matteo Boschini, Lorenzo Bonicelli, Angelo Porrello, Giovanni Bellitto, Matteo Pennisi, Simone Palazzo, Concetto Spampinato, Simone Calderara
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[DOI]
AdaBest: Minimizing Client Drift in Federated Learning via Adaptive Bias Estimation- Farshid Varno, Marzie Saghayi, Laya Rafiee Sevyeri, Sharut Gupta, Stan Matwin, Mohammad Havaei
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[DOI]
Tackling Long-Tailed Category Distribution under Domain Shifts- Xiao Gu, Yao Guo, Zeju Li, Jianing Qiu, Qi Dou, Yuxuan Liu, Benny Lo, Guang-Zhong Yang
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[DOI]
Doubly-Fused ViT: Fuse Information from Vision Transformer Doubly with Local Representation- Li Gao, Dong Nie, Bo Li, Xiaofeng Ren
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[DOI]
Improving Vision Transformers by Revisiting High-Frequency Components- Jiawang Bai, Li Yuan, Shu-Tao Xia, Shuicheng Yan, Zhifeng Li, Wei Liu
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[DOI]
Recurrent Bilinear Optimization for Binary Neural Networks- Sheng Xu, Yanjing Li, Tiancheng Wang, Teli Ma, Baochang Zhang, Peng Gao, Yu Qiao, Jinhu Lü, Guodong Guo
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[DOI]
Neural Architecture Search for Spiking Neural Networks- Youngeun Kim, Yuhang Li, Hyoungseob Park, Yeshwanth Venkatesha, Priyadarshini Panda
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[DOI]
Where to Focus: Investigating Hierarchical Attention Relationship for Fine-Grained Visual Classification- Yang Liu, Lei Zhou, Pengcheng Zhang, Xiao Bai, Lin Gu, Xiaohan Yu, Jun Zhou, Edwin R. Hancock
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[DOI]
DaViT: Dual Attention Vision Transformers- Mingyu Ding, Bin Xiao, Noel Codella, Ping Luo, Jingdong Wang, Lu Yuan
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[DOI]
Optimal Transport for Label-Efficient Visible-Infrared Person Re-identification- Jiangming Wang, Zhizhong Zhang, Mingang Chen, Yi Zhang, Cong Wang, Bin Sheng, Yanyun Qu, Yuan Xie
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[DOI]
Locality Guidance for Improving Vision Transformers on Tiny Datasets- Kehan Li, Runyi Yu, Zhennan Wang, Li Yuan, Guoli Song, Jie Chen
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[DOI]
Neighborhood Collective Estimation for Noisy Label Identification and Correction- Jichang Li, Guanbin Li, Feng Liu, Yizhou Yu
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[DOI]
Few-Shot Class-Incremental Learning via Entropy-Regularized Data-Free Replay- Huan Liu, Li Gu, Zhixiang Chi, Yang Wang, Yuanhao Yu, Jun Chen, Jin Tang
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[DOI]
Anti-Retroactive Interference for Lifelong Learning- Runqi Wang, Yuxiang Bao, Baochang Zhang, Jianzhuang Liu, Wentao Zhu, Guodong Guo
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[DOI]
Towards Calibrated Hyper-Sphere Representation via Distribution Overlap Coefficient for Long-Tailed Learning- Hualiang Wang, Siming Fu, Xiaoxuan He, Hangxiang Fang, Zuozhu Liu, Haoji Hu
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[DOI]
Dynamic Metric Learning with Cross-Level Concept Distillation- Wenzhao Zheng, Yuanhui Huang, Borui Zhang, Jie Zhou, Jiwen Lu
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[DOI]
MENet: A Memory-Based Network with Dual-Branch for Efficient Event Stream Processing- Linhui Sun, Yifan Zhang, Ke Cheng, Jian Cheng, Hanqing Lu
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[DOI]
Out-of-Distribution Detection with Boundary Aware Learning- Sen Pei, Xin Zhang, Bin Fan, Gaofeng Meng
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[DOI]
Learning Hierarchy Aware Features for Reducing Mistake Severity- Ashima Garg, Depanshu Sani, Saket Anand
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[DOI]
Learning to Detect Every Thing in an Open World- Kuniaki Saito, Ping Hu, Trevor Darrell, Kate Saenko
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[DOI]
KVT: k-NN Attention for Boosting Vision Transformers- Pichao Wang, Xue Wang, Fan Wang, Ming Lin, Shuning Chang, Hao Li, Rong Jin
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[DOI]
Registration Based Few-Shot Anomaly Detection- Chaoqin Huang, Haoyan Guan, Aofan Jiang, Ya Zhang, Michael Spratling, Yan-Feng Wang
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[DOI]
Improving Robustness by Enhancing Weak Subnets- Yong Guo, David Stutz, Bernt Schiele
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[DOI]
Learning Invariant Visual Representations for Compositional Zero-Shot Learning- Tian Zhang, Kongming Liang, Ruoyi Du, Xian Sun, Zhanyu Ma, Jun Guo
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[DOI]
Improving Covariance Conditioning of the SVD Meta-Layer by Orthogonality- Yue Song, Nicu Sebe, Wei Wang
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[DOI]
Out-of-Distribution Detection with Semantic Mismatch under Masking- Yijun Yang, Ruiyuan Gao, Qiang Xu
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[DOI]
Data-Free Neural Architecture Search via Recursive Label Calibration- Zechun Liu, Zhiqiang Shen, Yun Long, Eric Xing, Kwang-Ting Cheng, Chas Leichner
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[DOI]
Learning from Multiple Annotator Noisy Labels via Sample-Wise Label Fusion- Zhengqi Gao, Fan-Keng Sun, Mingran Yang, Sucheng Ren, Zikai Xiong, Marc Engeler, Antonio Burazer, Linda Wildling, Luca Daniel, Duane S. Boning
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[DOI]
Acknowledging the Unknown for Multi-Label Learning with Single Positive Labels- Donghao Zhou, Pengfei Chen, Qiong Wang, Guangyong Chen, Pheng-Ann Heng
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[DOI]
AutoMix: Unveiling the Power of Mixup for Stronger Classifiers- Zicheng Liu, Siyuan Li, Di Wu, Zihan Liu, Zhiyuan Chen, Lirong Wu, Stan Z. Li
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[DOI]
MaxViT: Multi-axis Vision Transformer- Zhengzhong Tu, Hossein Talebi, Han Zhang, Feng Yang, Peyman Milanfar, Alan Bovik, Yinxiao Li
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ScalableViT: Rethinking the Context-Oriented Generalization of Vision Transformer- Rui Yang, Hailong Ma, Jie Wu, Yansong Tang, Xuefeng Xiao, Min Zheng, Xiu Li
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Three Things Everyone Should Know about Vision Transformers- Hugo Touvron, Matthieu Cord, Alaaeldin El-Nouby, Jakob Verbeek, Hervé Jégou
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[DOI]
DeiT III: Revenge of the ViT- Hugo Touvron, Matthieu Cord, Hervé Jégou
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[DOI]
MixSKD: Self-Knowledge Distillation from Mixup for Image Recognition- Chuanguang Yang, Zhulin An, Helong Zhou, Linhang Cai, Xiang Zhi, Jiwen Wu, Yongjun Xu, Qian Zhang
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[DOI]
Self-Feature Distillation with Uncertainty Modeling for Degraded Image Recognition- Zhou Yang, Weisheng Dong, Xin Li, Jinjian Wu, Leida Li, Guangming Shi
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[DOI]
Novel Class Discovery without Forgetting- K J Joseph, Sujoy Paul, Gaurav Aggarwal, Soma Biswas, Piyush Rai, Kai Han, Vineeth N Balasubramanian
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[DOI]
SAFA: Sample-Adaptive Feature Augmentation for Long-Tailed Image Classification- Yan Hong, Jianfu Zhang, Zhongyi Sun, Ke Yan
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[DOI]
Negative Samples Are at Large: Leveraging Hard-Distance Elastic Loss for Re-identification- Hyungtae Lee, Sungmin Eum, Heesung Kwon
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[DOI]
Discrete-Constrained Regression for Local Counting Models- Haipeng Xiong, Angela Yao
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[DOI]
Breadcrumbs: Adversarial Class-Balanced Sampling for Long-Tailed Recognition- Bo Liu, Haoxiang Li, Hao Kang, Gang Hua, Nuno Vasconcelos
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[DOI]
Chairs Can Be Stood On: Overcoming Object Bias in Human-Object Interaction Detection- Guangzhi Wang, Yangyang Guo, Yongkang Wong, Mohan Kankanhalli
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[DOI]
A Fast Knowledge Distillation Framework for Visual Recognition- Zhiqiang Shen, Eric Xing
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DICE: Leveraging Sparsification for Out-of-Distribution Detection- Yiyou Sun, Yixuan Li
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[DOI]
Invariant Feature Learning for Generalized Long-Tailed Classification- Kaihua Tang, Mingyuan Tao, Jiaxin Qi, Zhenguang Liu, Hanwang Zhang
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[DOI]
Sliced Recursive Transformer- Zhiqiang Shen, Zechun Liu, Eric Xing
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Cross-Domain Ensemble Distillation for Domain Generalization- Kyungmoon Lee, Sungyeon Kim, Suha Kwak
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Centrality and Consistency: Two-Stage Clean Samples Identification for Learning with Instance-Dependent Noisy Labels- Ganlong Zhao, Guanbin Li, Yipeng Qin, Feng Liu, Yizhou Yu
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Hyperspherical Learning in Multi-Label Classification- Bo Ke, Yunquan Zhu, Mengtian Li, Xiujun Shu, Ruizhi Qiao, Bo Ren
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When Active Learning Meets Implicit Semantic Data Augmentation- Zhuangzhuang Chen, Jin Zhang, Pan Wang, Jie Chen, Jianqiang Li
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VL-LTR: Learning Class-Wise Visual-Linguistic Representation for Long-Tailed Visual Recognition- Changyao Tian, Wenhai Wang, Xizhou Zhu, Jifeng Dai, Yu Qiao
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Class Is Invariant to Context and Vice Versa: On Learning Invariance for Out-of-Distribution Generalization- Jiaxin Qi, Kaihua Tang, Qianru Sun, Xian-Sheng Hua, Hanwang Zhang
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Hierarchical Semi-Supervised Contrastive Learning for Contamination-Resistant Anomaly Detection- Gaoang Wang, Yibing Zhan, Xinchao Wang, Mingli Song, Klara Nahrstedt
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Tracking by Associating Clips- Sanghyun Woo, Kwanyong Park, Seoung Wug Oh, In So Kweon, Joon-Young Lee
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RealPatch: A Statistical Matching Framework for Model Patching with Real Samples- Sara Romiti, Christopher Inskip, Viktoriia Sharmanska, Novi Quadrianto
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Background-Insensitive Scene Text Recognition with Text Semantic Segmentation- Liang Zhao, Zhenyao Wu, Xinyi Wu, Greg Wilsbacher, Song Wang
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Semantic Novelty Detection via Relational Reasoning- Francesco Cappio Borlino, Silvia Bucci, Tatiana Tommasi
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Improving Closed and Open-Vocabulary Attribute Prediction Using Transformers- Khoi Pham, Kushal Kafle, Zhe Lin, Zhihong Ding, Scott Cohen, Quan Tran, Abhinav Shrivastava
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Training Vision Transformers with Only 2040 Images- Yun-Hao Cao, Hao Yu, Jianxin Wu
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Bridging Images and Videos: A Simple Learning Framework for Large Vocabulary Video Object Detection- Sanghyun Woo, Kwanyong Park, Seoung Wug Oh, In So Kweon, Joon-Young Lee
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TDAM: Top-Down Attention Module for Contextually Guided Feature Selection in CNNs- Shantanu Jaiswal, Basura Fernando, Cheston Tan
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Automatic Check-Out via Prototype-Based Classifier Learning from Single-Product Exemplars- Hao Chen, Xiu-Shen Wei, Faen Zhang, Yang Shen, Hui Xu, Liang Xiao
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Overcoming Shortcut Learning in a Target Domain by Generalizing Basic Visual Factors from a Source Domain- Piyapat Saranrittichai, Chaithanya Kumar Mummadi, Claudia Blaiotta, Mauricio Munoz, Volker Fischer
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Photo-Realistic Neural Domain Randomization- Sergey Zakharov, Rareș Ambruș, Vitor Guizilini, Wadim Kehl, Adrien Gaidon
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Wave-ViT: Unifying Wavelet and Transformers for Visual Representation Learning- Ting Yao, Yingwei Pan, Yehao Li, Chong-Wah Ngo, Tao Mei
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Tailoring Self-Supervision for Supervised Learning- WonJun Moon, Ji-Hwan Kim, Jae-Pil Heo
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Difficulty-Aware Simulator for Open Set Recognition- WonJun Moon, Junho Park, Hyun Seok Seong, Cheol-Ho Cho, Jae-Pil Heo
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Few-Shot Class-Incremental Learning from an Open-Set Perspective- Can Peng, Kun Zhao, Tianren Wang, Meng Li, Brian C. Lovell
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FOSTER: Feature Boosting and Compression for Class-Incremental Learning- Fu-Yun Wang, Da-Wei Zhou, Han-Jia Ye, De-Chuan Zhan
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Visual Knowledge Tracing- Neehar Kondapaneni, Pietro Perona, Oisin Mac Aodha
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S3C: Self-Supervised Stochastic Classifiers for Few-Shot Class-Incremental Learning- Jayateja Kalla, Soma Biswas
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Improving Fine-Grained Visual Recognition in Low Data Regimes via Self-Boosting Attention Mechanism- Yangyang Shu, Baosheng Yu, Haiming Xu, Lingqiao Liu
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VSA: Learning Varied-Size Window Attention in Vision Transformers- Qiming Zhang, Yufei Xu, Jing Zhang, Dacheng Tao
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Unbiased Manifold Augmentation for Coarse Class Subdivision- Baoming Yan, Ke Gao, Bo Gao, Lin Wang, Jiang Yang, Xiaobo Li
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DenseHybrid: Hybrid Anomaly Detection for Dense Open-Set Recognition- Matej Grcić, Petra Bevandić, Siniša Šegvić
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Rethinking Confidence Calibration for Failure Prediction- Fei Zhu, Zhen Cheng, Xu-Yao Zhang, Cheng-Lin Liu
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Uncertainty-Guided Source-Free Domain Adaptation- Subhankar Roy, Martin Trapp, Andrea Pilzer, Juho Kannala, Nicu Sebe, Elisa Ricci, Arno Solin
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Should All Proposals Be Treated Equally in Object Detection?- Yunsheng Li, Yinpeng Chen, Xiyang Dai, Dongdong Chen, Mengchen Liu, Pei Yu, Ying Jin, Lu Yuan, Zicheng Liu, Nuno Vasconcelos
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VIP: Unified Certified Detection and Recovery for Patch Attack with Vision Transformers- Junbo Li, Huan Zhang, Cihang Xie
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incDFM: Incremental Deep Feature Modeling for Continual Novelty Detection- Amanda Rios, Nilesh Ahuja, Ibrahima Ndiour, Utku Genc, Laurent Itti, Omesh Tickoo
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IGFormer: Interaction Graph Transformer for Skeleton-Based Human Interaction Recognition- Yunsheng Pang, Qiuhong Ke, Hossein Rahmani, James Bailey, Jun Liu
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PRIME: A Few Primitives Can Boost Robustness to Common Corruptions- Apostolos Modas, Rahul Rade, Guillermo Ortiz-Jiménez, Seyed-Mohsen Moosavi-Dezfooli, Pascal Frossard
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Rotation Regularization without Rotation- Takumi Kobayashi
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Towards Accurate Open-Set Recognition via Background-Class Regularization- Wonwoo Cho, Jaegul Choo
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In Defense of Image Pre-training for Spatiotemporal Recognition- Xianhang Li, Huiyu Wang, Chen Wei, Jieru Mei, Alan Yuille, Yuyin Zhou, Cihang Xie
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Augmenting Deep Classifiers with Polynomial Neural Networks- Grigorios G. Chrysos, Markos Georgopoulos, Jiankang Deng, Jean Kossaifi, Yannis Panagakis, Anima Anandkumar
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Learning with Noisy Labels by Efficient Transition Matrix Estimation to Combat Label Miscorrection- Seong Min Kye, Kwanghee Choi, Joonyoung Yi, Buru Chang
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Online Task-Free Continual Learning with Dynamic Sparse Distributed Memory- Julien Pourcel, Ngoc-Son Vu, Robert M. French
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Contrastive Deep Supervision- Linfeng Zhang, Xin Chen, Junbo Zhang, Runpei Dong, Kaisheng Ma
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Discriminability-Transferability Trade-Off: An Information-Theoretic Perspective- Quan Cui, Bingchen Zhao, Zhao-Min Chen, Borui Zhao, Renjie Song, Boyan Zhou, Jiajun Liang, Osamu Yoshie
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LocVTP: Video-Text Pre-training for Temporal Localization- Meng Cao, Tianyu Yang, Junwu Weng, Can Zhang, Jue Wang, Yuexian Zou
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Few-Shot End-to-End Object Detection via Constantly Concentrated Encoding across Heads- Jiawei Ma, Guangxing Han, Shiyuan Huang, Yuncong Yang, Shih-Fu Chang
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Implicit Neural Representations for Image Compression- Yannick Strümpler, Janis Postels, Ren Yang, Luc Van Gool, Federico Tombari
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LiP-Flow: Learning Inference-Time Priors for Codec Avatars via Normalizing Flows in Latent Space- Emre Aksan, Shugao Ma, Akin Caliskan, Stanislav Pidhorskyi, Alexander Richard, Shih-En Wei, Jason Saragih, Otmar Hilliges
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Learning to Drive by Watching YouTube Videos: Action-Conditioned Contrastive Policy Pretraining- Qihang Zhang, Zhenghao Peng, Bolei Zhou
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Learning Ego 3D Representation As Ray Tracing- Jiachen Lu, Zheyuan Zhou, Xiatian Zhu, Hang Xu, Li Zhang
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Static and Dynamic Concepts for Self-Supervised Video Representation Learning- Rui Qian, Shuangrui Ding, Xian Liu, Dahua Lin
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SphereFed: Hyperspherical Federated Learning- Xin Dong, Sai Qian Zhang, Ang Li, H.T. Kung
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Hierarchically Self-Supervised Transformer for Human Skeleton Representation Learning- Yuxiao Chen, Long Zhao, Jianbo Yuan, Yu Tian, Zhaoyang Xia, Shijie Geng, Ligong Han, Dimitris N. Metaxas
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Posterior Refinement on Metric Matrix Improves Generalization Bound in Metric Learning- Mingda Wang, Canqian Yang, Yi Xu
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Balancing Stability and Plasticity through Advanced Null Space in Continual Learning- Yajing Kong, Liu Liu, Zhen Wang, Dacheng Tao
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DisCo: Remedying Self-Supervised Learning on Lightweight Models with Distilled Contrastive Learning- Yuting Gao, Jia-Xin Zhuang, Shaohui Lin, Hao Cheng, Xing Sun, Ke Li, Chunhua Shen
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CoSCL: Cooperation of Small Continual Learners Is Stronger than a Big One- Liyuan Wang, Xingxing Zhang, Qian Li, Jun Zhu, Yi Zhong
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Manifold Adversarial Learning for Cross-Domain 3D Shape Representation- Hao Huang, Cheng Chen, Yi Fang
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Fast-MoCo: Boost Momentum-Based Contrastive Learning with Combinatorial Patches- Yuanzheng Ci, Chen Lin, Lei Bai, Wanli Ouyang
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LoRD: Local 4D Implicit Representation for High-Fidelity Dynamic Human Modeling- Boyan Jiang, Xinlin Ren, Mingsong Dou, Xiangyang Xue, Yanwei Fu, Yinda Zhang
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On the Versatile Uses of Partial Distance Correlation in Deep Learning- Xingjian Zhen, Zihang Meng, Rudrasis Chakraborty, Vikas Singh
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Self-Regulated Feature Learning via Teacher-Free Feature Distillation- Lujun Li
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Balancing between Forgetting and Acquisition in Incremental Subpopulation Learning- Mingfu Liang, Jiahuan Zhou, Wei Wei, Ying Wu
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Counterfactual Intervention Feature Transfer for Visible-Infrared Person Re-identification- Xulin Li, Yan Lu, Bin Liu, Yating Liu, Guojun Yin, Qi Chu, Jinyang Huang, Feng Zhu, Rui Zhao, Nenghai Yu
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DAS: Densely-Anchored Sampling for Deep Metric Learning- Lizhao Liu, Shangxin Huang, Zhuangwei Zhuang, Ran Yang, Mingkui Tan, Yaowei Wang
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Learn from All: Erasing Attention Consistency for Noisy Label Facial Expression Recognition- Yuhang Zhang, Chengrui Wang, Xu Ling, Weihong Deng
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A Non-Isotropic Probabilistic Take On Proxy-Based Deep Metric Learning- Michael Kirchhof, Karsten Roth, Zeynep Akata, Enkelejda Kasneci
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TokenMix: Rethinking Image Mixing for Data Augmentation in Vision Transformers- Jihao Liu, Boxiao Liu, Hang Zhou, Hongsheng Li, Yu Liu
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UFO: Unified Feature Optimization- Teng Xi, Yifan Sun, Deli Yu, Bi Li, Nan Peng, Gang Zhang, Xinyu Zhang, Zhigang Wang, Jinwen Chen, Jian Wang, Lufei Liu, Haocheng Feng, Junyu Han, Jingtuo Liu, Errui Ding, Jingdong Wang
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Sound Localization by Self-Supervised Time Delay Estimation- Ziyang Chen, David F. Fouhey, Andrew Owens
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X-Learner: Learning Cross Sources and Tasks for Universal Visual Representation- Yinan He, Gengshi Huang, Siyu Chen, Jianing Teng, Kun Wang, Zhenfei Yin, Lu Sheng, Ziwei Liu, Yu Qiao, Jing Shao
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SLIP: Self-Supervision Meets Language-Image Pre-training- Norman Mu, Alexander Kirillov, David Wagner, Saining Xie
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Discovering Deformable Keypoint Pyramids- Jianing Qian, Anastasios Panagopoulos, Dinesh Jayaraman
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Neural Video Compression Using GANs for Detail Synthesis and Propagation- Fabian Mentzer, Eirikur Agustsson, Johannes Ballé, David Minnen, Nick Johnston, George Toderici
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A Contrastive Objective for Learning Disentangled Representations- Jonathan Kahana, Yedid Hoshen
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PT4AL: Using Self-Supervised Pretext Tasks for Active Learning- John Seon Keun Yi, Minseok Seo, Jongchan Park, Dong-Geol Choi
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ParC-Net: Position Aware Circular Convolution with Merits from ConvNets and Transformer- Haokui Zhang, Wenze Hu, Xiaoyu Wang
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DualPrompt: Complementary Prompting for Rehearsal-Free Continual Learning- Zifeng Wang, Zizhao Zhang, Sayna Ebrahimi, Ruoxi Sun, Han Zhang, Chen-Yu Lee, Xiaoqi Ren, Guolong Su, Vincent Perot, Jennifer Dy, Tomas Pfister
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Unifying Visual Contrastive Learning for Object Recognition from a Graph Perspective- Shixiang Tang, Feng Zhu, Lei Bai, Rui Zhao, Chenyu Wang, Wanli Ouyang
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Decoupled Contrastive Learning- Chun-Hsiao Yeh, Cheng-Yao Hong, Yen-Chi Hsu, Tyng-Luh Liu, Yubei Chen, Yann LeCun
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Joint Learning of Localized Representations from Medical Images and Reports- Philip Müller, Georgios Kaissis, Congyu Zou, Daniel Rueckert
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The Challenges of Continuous Self-Supervised Learning- Senthil Purushwalkam, Pedro Morgado, Abhinav Gupta
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Conditional Stroke Recovery for Fine-Grained Sketch-Based Image Retrieval- Zhixin Ling, Zhen Xing, Jian Zhou, Xiangdong Zhou
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Identifying Hard Noise in Long-Tailed Sample Distribution- Xuanyu Yi, Kaihua Tang, Xian-Sheng Hua, Joo-Hwee Lim, Hanwang Zhang
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Relative Contrastive Loss for Unsupervised Representation Learning- Shixiang Tang, Feng Zhu, Lei Bai, Rui Zhao, Wanli Ouyang
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Fine-Grained Fashion Representation Learning by Online Deep Clustering- Yang Jiao, Ning Xie, Yan Gao, Chien-chih Wang, Yi Sun
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NashAE: Disentangling Representations through Adversarial Covariance Minimization- Eric Yeats, Frank Liu, David Womble, Hai Li
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A Gyrovector Space Approach for Symmetric Positive Semi-Definite Matrix Learning- Xuan Son Nguyen
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Learning Visual Representation from Modality-Shared Contrastive Language-Image Pre-training- Haoxuan You, Luowei Zhou, Bin Xiao, Noel Codella, Yu Cheng, Ruochen Xu, Shih-Fu Chang, Lu Yuan
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Contrasting Quadratic Assignments for Set-Based Representation Learning- Artem Moskalev, Ivan Sosnovik, Volker Fischer, Arnold Smeulders
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Class-Incremental Learning with Cross-Space Clustering and Controlled Transfer- Arjun Ashok, K J Joseph, Vineeth N Balasubramanian
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Object Discovery and Representation Networks- Olivier J. Hénaff, Skanda Koppula, Evan Shelhamer, Daniel Zoran, Andrew Jaegle, Andrew Zisserman, João Carreira, Relja Arandjelović
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Trading Positional Complexity vs Deepness in Coordinate Networks- Jianqiao Zheng, Sameera Ramasinghe, Xueqian Li, Simon Lucey
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MVDG: A Unified Multi-View Framework for Domain Generalization- Jian Zhang, Lei Qi, Yinghuan Shi, Yang Gao
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Panoptic Scene Graph Generation- Jingkang Yang, Yi Zhe Ang, Zujin Guo, Kaiyang Zhou, Wayne Zhang, Ziwei Liu
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Object-Compositional Neural Implicit Surfaces- Qianyi Wu, Xian Liu, Yuedong Chen, Kejie Li, Chuanxia Zheng, Jianfei Cai, Jianmin Zheng
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RigNet: Repetitive Image Guided Network for Depth Completion- Zhiqiang Yan, Kun Wang, Xiang Li, Zhenyu Zhang, Jun Li, Jian Yang
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FADE: Fusing the Assets of Decoder and Encoder for Task-Agnostic Upsampling- Hao Lu, Wenze Liu, Hongtao Fu, Zhiguo Cao
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LiDAL: Inter-Frame Uncertainty Based Active Learning for 3D LiDAR Semantic Segmentation- Zeyu Hu, Xuyang Bai, Runze Zhang, Xin Wang, Guangyuan Sun, Hongbo Fu, Chiew-Lan Tai
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Hierarchical Memory Learning for Fine-Grained Scene Graph Generation- Youming Deng, Yansheng Li, Yongjun Zhang, Xiang Xiang, Jian Wang, Jingdong Chen, Jiayi Ma
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DODA: Data-Oriented Sim-to-Real Domain Adaptation for 3D Semantic Segmentation- Runyu Ding, Jihan Yang, Li Jiang, Xiaojuan Qi
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MTFormer: Multi-task Learning via Transformer and Cross-Task Reasoning- Xiaogang Xu, Hengshuang Zhao, Vibhav Vineet, Ser-Nam Lim, Antonio Torralba
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MonoPLFlowNet: Permutohedral Lattice FlowNet for Real-Scale 3D Scene Flow Estimation with Monocular Images- Runfa Li, Truong Nguyen
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TO-Scene: A Large-Scale Dataset for Understanding 3D Tabletop Scenes- Mutian Xu, Pei Chen, Haolin Liu, Xiaoguang Han
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Is It Necessary to Transfer Temporal Knowledge for Domain Adaptive Video Semantic Segmentation?- Xinyi Wu, Zhenyao Wu, Jin Wan, Lili Ju, Song Wang
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Meta Spatio-Temporal Debiasing for Video Scene Graph Generation- Li Xu, Haoxuan Qu, Jason Kuen, Jiuxiang Gu, Jun Liu
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Improving the Reliability for Confidence Estimation- Haoxuan Qu, Yanchao Li, Lin Geng Foo, Jason Kuen, Jiuxiang Gu, Jun Liu
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Fine-Grained Scene Graph Generation with Data Transfer- Ao Zhang, Yuan Yao, Qianyu Chen, Wei Ji, Zhiyuan Liu, Maosong Sun, Tat-Seng Chua
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Pose2Room: Understanding 3D Scenes from Human Activities- Yinyu Nie, Angela Dai, Xiaoguang Han, Matthias Nießner
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Towards Hard-Positive Query Mining for DETR-Based Human-Object Interaction Detection- Xubin Zhong, Changxing Ding, Zijian Li, Shaoli Huang
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Discovering Human-Object Interaction Concepts via Self-Compositional Learning- Zhi Hou, Baosheng Yu, Dacheng Tao
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Primitive-Based Shape Abstraction via Nonparametric Bayesian Inference- Yuwei Wu, Weixiao Liu, Sipu Ruan, Gregory S. Chirikjian
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Stereo Depth Estimation with Echoes- Chenghao Zhang, Kun Tian, Bolin Ni, Gaofeng Meng, Bin Fan, Zhaoxiang Zhang, Chunhong Pan
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Inverted Pyramid Multi-task Transformer for Dense Scene Understanding- Hanrong Ye, Dan Xu
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PETR: Position Embedding Transformation for Multi-View 3D Object Detection- Yingfei Liu, Tiancai Wang, Xiangyu Zhang, Jian Sun
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S2Net: Stochastic Sequential Pointcloud Forecasting- Xinshuo Weng, Junyu Nan, Kuan-Hui Lee, Rowan McAllister, Adrien Gaidon, Nicholas Rhinehart, Kris M. Kitani
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RA-Depth: Resolution Adaptive Self-Supervised Monocular Depth Estimation- Mu He, Le Hui, Yikai Bian, Jian Ren, Jin Xie, Jian Yang
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PolyphonicFormer: Unified Query Learning for Depth-Aware Video Panoptic Segmentation- Haobo Yuan, Xiangtai Li, Yibo Yang, Guangliang Cheng, Jing Zhang, Yunhai Tong, Lefei Zhang, Dacheng Tao
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SQN: Weakly-Supervised Semantic Segmentation of Large-Scale 3D Point Clouds- Qingyong Hu, Bo Yang, Guangchi Fang, Yulan Guo, Aleš Leonardis, Niki Trigoni, Andrew Markham
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PointMixer: MLP-Mixer for Point Cloud Understanding- Jaesung Choe, Chunghyun Park, Francois Rameau, Jaesik Park, In So Kweon
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Initialization and Alignment for Adversarial Texture Optimization- Xiaoming Zhao, Zhizhen Zhao, Alexander G. Schwing
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MOTR: End-to-End Multiple-Object Tracking with TRansformer- Fangao Zeng, Bin Dong, Yuang Zhang, Tiancai Wang, Xiangyu Zhang, Yichen Wei
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GALA: Toward Geometry-and-Lighting-Aware Object Search for Compositing- Sijie Zhu, Zhe Lin, Scott Cohen, Jason Kuen, Zhifei Zhang, Chen Chen
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LaLaLoc++: Global Floor Plan Comprehension for Layout Localisation in Unvisited Environments- Henry Howard-Jenkins, Victor Adrian Prisacariu
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3D-PL: Domain Adaptive Depth Estimation with 3D-Aware Pseudo-Labeling- Yu-Ting Yen, Chia-Ni Lu, Wei-Chen Chiu, Yi-Hsuan Tsai
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Panoptic-PartFormer: Learning a Unified Model for Panoptic Part Segmentation- Xiangtai Li, Shilin Xu, Yibo Yang, Guangliang Cheng, Yunhai Tong, Dacheng Tao
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Salient Object Detection for Point Clouds- Songlin Fan, Wei Gao, Ge Li
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Learning Semantic Segmentation from Multiple Datasets with Label Shifts- Dongwan Kim, Yi-Hsuan Tsai, Yumin Suh, Masoud Faraki, Sparsh Garg, Manmohan Chandraker, Bohyung Han
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Weakly Supervised 3D Scene Segmentation with Region-Level Boundary Awareness and Instance Discrimination- Kangcheng Liu, Yuzhi Zhao, Qiang Nie, Zhi Gao, Ben M. Chen
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Towards Open-Vocabulary Scene Graph Generation with Prompt-Based Finetuning- Tao He, Lianli Gao, Jingkuan Song, Yuan-Fang Li
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Variance-Aware Weight Initialization for Point Convolutional Neural Networks- Pedro Hermosilla, Michael Schelling, Tobias Ritschel, Timo Ropinski
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Break and Make: Interactive Structural Understanding Using LEGO Bricks- Aaron Walsman, Muru Zhang, Klemen Kotar, Karthik Desingh, Ali Farhadi, Dieter Fox
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Bi-PointFlowNet: Bidirectional Learning for Point Cloud Based Scene Flow Estimation- Wencan Cheng, Jong Hwan Ko
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3DG-STFM: 3D Geometric Guided Student-Teacher Feature Matching- Runyu Mao, Chen Bai, Yatong An, Fengqing Zhu, Cheng Lu
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Video Restoration Framework and Its Meta-Adaptations to Data-Poor Conditions- Prashant W Patil, Sunil Gupta, Santu Rana, Svetha Venkatesh
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MonteBoxFinder: Detecting and Filtering Primitives to Fit a Noisy Point Cloud- Michaël Ramamonjisoa, Sinisa Stekovic, Vincent Lepetit
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Scene Text Recognition with Permuted Autoregressive Sequence Models- Darwin Bautista, Rowel Atienza
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When Counting Meets HMER: Counting-Aware Network for Handwritten Mathematical Expression Recognition- Bohan Li, Ye Yuan, Dingkang Liang, Xiao Liu, Zhilong Ji, Jinfeng Bai, Wenyu Liu, Xiang Bai
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Detecting Tampered Scene Text in the Wild- Yuxin Wang, Hongtao Xie, Mengting Xing, Jing Wang, Shenggao Zhu, Yongdong Zhang
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Optimal Boxes: Boosting End-to-End Scene Text Recognition by Adjusting Annotated Bounding Boxes via Reinforcement Learning- Jingqun Tang, Wenming Qian, Luchuan Song, Xiena Dong, Lan Li, Xiang Bai
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GLASS: Global to Local Attention for Scene-Text Spotting- Roi Ronen, Shahar Tsiper, Oron Anschel, Inbal Lavi, Amir Markovitz, R. Manmatha
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COO: Comic Onomatopoeia Dataset for Recognizing Arbitrary or Truncated Texts- Jeonghun Baek, Yusuke Matsui, Kiyoharu Aizawa
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Language Matters: A Weakly Supervised Vision-Language Pre-training Approach for Scene Text Detection and Spotting- Chuhui Xue, Wenqing Zhang, Yu Hao, Shijian Lu, Philip H. S. Torr, Song Bai
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Toward Understanding WordArt: Corner-Guided Transformer for Scene Text Recognition- Xudong Xie, Ling Fu, Zhifei Zhang, Zhaowen Wang, Xiang Bai
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Levenshtein OCR- Cheng Da, Peng Wang, Cong Yao
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Multi-Granularity Prediction for Scene Text Recognition- Peng Wang, Cheng Da, Cong Yao
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Dynamic Low-Resolution Distillation for Cost-Efficient End-to-End Text Spotting- Ying Chen, Liang Qiao, Zhanzhan Cheng, Shiliang Pu, Yi Niu, Xi Li
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Contextual Text Block Detection towards Scene Text Understanding- Chuhui Xue, Jiaxing Huang, Wenqing Zhang, Shijian Lu, Changhu Wang, Song Bai
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CoMER: Modeling Coverage for Transformer-Based Handwritten Mathematical Expression Recognition- Wenqi Zhao, Liangcai Gao
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Don’t Forget Me: Accurate Background Recovery for Text Removal via Modeling Local-Global Context- Chongyu Liu, Lianwen Jin, Yuliang Liu, Canjie Luo, Bangdong Chen, Fengjun Guo, Kai Ding
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TextAdaIN: Paying Attention to Shortcut Learning in Text Recognizers- Oren Nuriel, Sharon Fogel, Ron Litman
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[DOI]
Multi-modal Text Recognition Networks: Interactive Enhancements between Visual and Semantic Features- Byeonghu Na, Yoonsik Kim, Sungrae Park
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[DOI]
SGBANet: Semantic GAN and Balanced Attention Network for Arbitrarily Oriented Scene Text Recognition- Dajian Zhong, Shujing Lyu, Palaiahnakote Shivakumara, Bing Yin, Jiajia Wu, Umapada Pal, Yue Lu
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[DOI]
Pure Transformer with Integrated Experts for Scene Text Recognition- Yew Lee Tan, Adams Wai-Kin Kong, Jung-Jae Kim
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[DOI]
OCR-Free Document Understanding Transformer- Geewook Kim, Teakgyu Hong, Moonbin Yim, JeongYeon Nam, Jinyoung Park, Jinyeong Yim, Wonseok Hwang, Sangdoo Yun, Dongyoon Han, Seunghyun Park
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[DOI]
CAR: Class-Aware Regularizations for Semantic Segmentation- Ye Huang, Di Kang, Liang Chen, Xuefei Zhe, Wenjing Jia, Linchao Bao, Xiangjian He
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[DOI]
Style-Hallucinated Dual Consistency Learning for Domain Generalized Semantic Segmentation- Yuyang Zhao, Zhun Zhong, Na Zhao, Nicu Sebe, Gim Hee Lee
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[DOI]
SeqFormer: Sequential Transformer for Video Instance Segmentation- Junfeng Wu, Yi Jiang, Song Bai, Wenqing Zhang, Xiang Bai
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[DOI]
Saliency Hierarchy Modeling via Generative Kernels for Salient Object Detection- Wenhu Zhang, Liangli Zheng, Huanyu Wang, Xintian Wu, Xi Li
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[DOI]
In Defense of Online Models for Video Instance Segmentation- Junfeng Wu, Qihao Liu, Yi Jiang, Song Bai, Alan Yuille, Xiang Bai
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[DOI]
Active Pointly-Supervised Instance Segmentation- Chufeng Tang, Lingxi Xie, Gang Zhang, Xiaopeng Zhang, Qi Tian, Xiaolin Hu
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[DOI]
A Transformer-Based Decoder for Semantic Segmentation with Multi-level Context Mining- Bowen Shi, Dongsheng Jiang, Xiaopeng Zhang, Han Li, Wenrui Dai, Junni Zou, Hongkai Xiong, Qi Tian
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[DOI]
XMem: Long-Term Video Object Segmentation with an Atkinson-Shiffrin Memory Model- Ho Kei Cheng, Alexander G. Schwing
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[DOI]
Self-Distillation for Robust LiDAR Semantic Segmentation in Autonomous Driving- Jiale Li, Hang Dai, Yong Ding
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[DOI]
2DPASS: 2D Priors Assisted Semantic Segmentation on LiDAR Point Clouds- Xu Yan, Jiantao Gao, Chaoda Zheng, Chao Zheng, Ruimao Zhang, Shuguang Cui, Zhen Li
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[DOI]
Extract Free Dense Labels from CLIP- Chong Zhou, Chen Change Loy, Bo Dai
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[DOI]
3D Compositional Zero-Shot Learning with DeCompositional Consensus- Muhammad Ferjad Naeem, Evin Pınar Örnek, Yongqin Xian, Luc Van Gool, Federico Tombari
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[DOI]
Video Mask Transfiner for High-Quality Video Instance Segmentation- Lei Ke, Henghui Ding, Martin Danelljan, Yu-Wing Tai, Chi-Keung Tang, Fisher Yu
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[DOI]
Box-Supervised Instance Segmentation with Level Set Evolution- Wentong Li, Wenyu Liu, Jianke Zhu, Miaomiao Cui, Xian-Sheng Hua, Lei Zhang
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[DOI]
Point Primitive Transformer for Long-Term 4D Point Cloud Video Understanding- Hao Wen, Yunze Liu, Jingwei Huang, Bo Duan, Li Yi
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[DOI]
Adaptive Agent Transformer for Few-Shot Segmentation- Yuan Wang, Rui Sun, Zhe Zhang, Tianzhu Zhang
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[DOI]
Waymo Open Dataset: Panoramic Video Panoptic Segmentation- Jieru Mei, Alex Zihao Zhu, Xinchen Yan, Hang Yan, Siyuan Qiao, Yukun Zhu, Liang-Chieh Chen, Henrik Kretzschmar
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[DOI]
TransFGU: A Top-down Approach to Fine-Grained Unsupervised Semantic Segmentation- Zhaoyuan Yin, Pichao Wang, Fan Wang, Xianzhe Xu, Hanling Zhang, Hao Li, Rong Jin
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[DOI]
AdaAfford: Learning to Adapt Manipulation Affordance for 3D Articulated Objects via Few-Shot Interactions- Yian Wang, Ruihai Wu, Kaichun Mo, Jiaqi Ke, Qingnan Fan, Leonidas J. Guibas, Hao Dong
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[DOI]
Cost Aggregation with 4D Convolutional Swin Transformer for Few-Shot Segmentation- Sunghwan Hong, Seokju Cho, Jisu Nam, Stephen Lin, Seungryong Kim
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[DOI]
"Fine-Grained Egocentric Hand-Object Segmentation: Dataset, Model, and Applications"- Lingzhi Zhang, Shenghao Zhou, Simon Stent, Jianbo Shi
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[DOI]
Perceptual Artifacts Localization for Inpainting- Lingzhi Zhang, Yuqian Zhou, Connelly Barnes, Sohrab Amirghodsi, Zhe Lin, Eli Shechtman, Jianbo Shi
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[DOI]
2D Amodal Instance Segmentation Guided by 3D Shape Prior- Zhixuan Li, Weining Ye, Tingting Jiang, Tiejun Huang
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[DOI]
Data Efficient 3D Learner via Knowledge Transferred from 2D Model- Ping-Chung Yu, Cheng Sun, Min Sun
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[DOI]
Adaptive Spatial-BCE Loss for Weakly Supervised Semantic Segmentation- Tong Wu, Guangyu Gao, Junshi Huang, Xiaolin Wei, Xiaoming Wei, Chi Harold Liu
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[DOI]
Dense Gaussian Processes for Few-Shot Segmentation- Joakim Johnander, Johan Edstedt, Michael Felsberg, Fahad Shahbaz Khan, Martin Danelljan
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[DOI]
3D Instances as 1D Kernels- Yizheng Wu, Min Shi, Shuaiyuan Du, Hao Lu, Zhiguo Cao, Weicai Zhong
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[DOI]
TransMatting: Enhancing Transparent Objects Matting with Transformers- Huanqia Cai, Fanglei Xue, Lele Xu, Lili Guo
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[DOI]
MVSalNet:Multi-View Augmentation for RGB-D Salient Object Detection- Jiayuan Zhou, Lijun Wang, Huchuan Lu, Kaining Huang, Xinchu Shi, Bocong Liu
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[DOI]
k-Means Mask Transformer- Qihang Yu, Huiyu Wang, Siyuan Qiao, Maxwell Collins, Yukun Zhu, Hartwig Adam, Alan Yuille, Liang-Chieh Chen
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[DOI]
SegPGD: An Effective and Efficient Adversarial Attack for Evaluating and Boosting Segmentation Robustness- Jindong Gu, Hengshuang Zhao, Volker Tresp, Philip H. S. Torr
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[DOI]
Adversarial Erasing Framework via Triplet with Gated Pyramid Pooling Layer for Weakly Supervised Semantic Segmentation- Sung-Hoon Yoon, Hyeokjun Kweon, Jegyeong Cho, Shinjeong Kim, Kuk-Jin Yoon
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[DOI]
Continual Semantic Segmentation via Structure Preserving and Projected Feature Alignment- Zihan Lin, Zilei Wang, Yixin Zhang
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[DOI]
Interclass Prototype Relation for Few-Shot Segmentation- Atsuro Okazawa
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[DOI]
Slim Scissors: Segmenting Thin Object from Synthetic Background- Kunyang Han, Jun Hao Liew, Jiashi Feng, Huawei Tian, Yao Zhao, Yunchao Wei
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[DOI]
Abstracting Sketches through Simple Primitives- Stephan Alaniz, Massimiliano Mancini, Anjan Dutta, Diego Marcos, Zeynep Akata
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[DOI]
Multi-Scale and Cross-Scale Contrastive Learning for Semantic Segmentation- Theodoros Pissas, Claudio S. Ravasio, Lyndon Da Cruz, Christos Bergeles
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[DOI]
One-Trimap Video Matting- Hongje Seong, Seoung Wug Oh, Brian Price, Euntai Kim, Joon-Young Lee
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[DOI]
D2ADA: Dynamic Density-Aware Active Domain Adaptation for Semantic Segmentation- Tsung-Han Wu, Yi-Syuan Liou, Shao-Ji Yuan, Hsin-Ying Lee, Tung-I Chen, Kuan-Chih Huang, Winston H. Hsu
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[DOI]
Learning Quality-Aware Dynamic Memory for Video Object Segmentation- Yong Liu, Ran Yu, Fei Yin, Xinyuan Zhao, Wei Zhao, Weihao Xia, Yujiu Yang
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[DOI]
Learning Implicit Feature Alignment Function for Semantic Segmentation- Hanzhe Hu, Yinbo Chen, Jiarui Xu, Shubhankar Borse, Hong Cai, Fatih Porikli, Xiaolong Wang
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[DOI]
Quantum Motion Segmentation- Federica Arrigoni, Willi Menapace, Marcel Seelbach Benkner, Elisa Ricci, Vladislav Golyanik
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[DOI]
Instance As Identity: A Generic Online Paradigm for Video Instance Segmentation- Feng Zhu, Zongxin Yang, Xin Yu, Yi Yang, Yunchao Wei
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[DOI]
Laplacian Mesh Transformer: Dual Attention and Topology Aware Network for 3D Mesh Classification and Segmentation- Xiao-Juan Li, Jie Yang, Fang-Lue Zhang
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[DOI]
Geodesic-Former: A Geodesic-Guided Few-Shot 3D Point Cloud Instance Segmenter- Tuan Ngo, Khoi Nguyen
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[DOI]
Union-Set Multi-source Model Adaptation for Semantic Segmentation- Zongyao Li, Ren Togo, Takahiro Ogawa, Miki Haseyama
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[DOI]
Point MixSwap: Attentional Point Cloud Mixing via Swapping Matched Structural Divisions- Ardian Umam, Cheng-Kun Yang, Yung-Yu Chuang, Jen-Hui Chuang, Yen-Yu Lin
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[DOI]
BATMAN: Bilateral Attention Transformer in Motion-Appearance Neighboring Space for Video Object Segmentation- Ye Yu, Jialin Yuan, Gaurav Mittal, Li Fuxin, Mei Chen
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[DOI]
SPSN: Superpixel Prototype Sampling Network for RGB-D Salient Object Detection- Minhyeok Lee, Chaewon Park, Suhwan Cho, Sangyoun Lee
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[DOI]
Global Spectral Filter Memory Network for Video Object Segmentation- Yong Liu, Ran Yu, Jiahao Wang, Xinyuan Zhao, Yitong Wang, Yansong Tang, Yujiu Yang
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[DOI]
Video Instance Segmentation via Multi-Scale Spatio-Temporal Split Attention Transformer- Omkar Thawakar, Sanath Narayan, Jiale Cao, Hisham Cholakkal, Rao Muhammad Anwer, Muhammad Haris Khan, Salman Khan, Michael Felsberg, Fahad Shahbaz Khan
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[DOI]
RankSeg: Adaptive Pixel Classification with Image Category Ranking for Segmentation- Haodi He, Yuhui Yuan, Xiangyu Yue, Han Hu
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[DOI]
Learning Topological Interactions for Multi-Class Medical Image Segmentation- Saumya Gupta, Xiaoling Hu, James Kaan, Michael Jin, Mutshipay Mpoy, Katherine Chung, Gagandeep Singh, Mary Saltz, Tahsin Kurc, Joel Saltz, Apostolos Tassiopoulos, Prateek Prasanna, Chao Chen
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[DOI]
Unsupervised Segmentation in Real-World Images via Spelke Object Inference- Honglin Chen, Rahul Venkatesh, Yoni Friedman, Jiajun Wu, Joshua B. Tenenbaum, Daniel L. K. Yamins, Daniel M. Bear
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[DOI]
A Simple Baseline for Open-Vocabulary Semantic Segmentation with Pre-trained Vision-Language Model- Mengde Xu, Zheng Zhang, Fangyun Wei, Yutong Lin, Yue Cao, Han Hu, Xiang Bai
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[DOI]
Fast Two-View Motion Segmentation Using Christoffel Polynomials- Bengisu Ozbay, Octavia Camps, Mario Sznaier
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[DOI]
UCTNet: Uncertainty-Aware Cross-Modal Transformer Network for Indoor RGB-D Semantic Segmentation- Xiaowen Ying, Mooi Choo Chuah
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[DOI]
Bi-directional Contrastive Learning for Domain Adaptive Semantic Segmentation- Geon Lee, Chanho Eom, Wonkyung Lee, Hyekang Park, Bumsub Ham
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[DOI]
Learning Regional Purity for Instance Segmentation on 3D Point Clouds- Shichao Dong, Guosheng Lin, Tzu-Yi Hung
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[DOI]
Cross-Domain Few-Shot Semantic Segmentation- Shuo Lei, Xuchao Zhang, Jianfeng He, Fanglan Chen, Bowen Du, Chang-Tien Lu
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[DOI]
Generative Subgraph Contrast for Self-Supervised Graph Representation Learning- Yuehui Han, Le Hui, Haobo Jiang, Jianjun Qian, Jin Xie
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[DOI]
SdAE: Self-Distillated Masked Autoencoder- Yabo Chen, Yuchen Liu, Dongsheng Jiang, Xiaopeng Zhang, Wenrui Dai, Hongkai Xiong, Qi Tian
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[DOI]
Demystifying Unsupervised Semantic Correspondence Estimation- Mehmet Aygün, Oisin Mac Aodha
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[DOI]
Open-Set Semi-Supervised Object Detection- Yen-Cheng Liu, Chih-Yao Ma, Xiaoliang Dai, Junjiao Tian, Peter Vajda, Zijian He, Zsolt Kira
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[DOI]
Vibration-Based Uncertainty Estimation for Learning from Limited Supervision- Hengtong Hu, Lingxi Xie, Xinyue Huo, Richang Hong, Qi Tian
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[DOI]
Concurrent Subsidiary Supervision for Unsupervised Source-Free Domain Adaptation- Jogendra Nath Kundu, Suvaansh Bhambri, Akshay Kulkarni, Hiran Sarkar, Varun Jampani, R. Venkatesh Babu
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[DOI]
Weakly Supervised Object Localization through Inter-class Feature Similarity and Intra-Class Appearance Consistency- Jun Wei, Sheng Wang, S. Kevin Zhou, Shuguang Cui, Zhen Li
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[DOI]
Active Learning Strategies for Weakly-Supervised Object Detection- Huy V. Vo, Oriane Siméoni, Spyros Gidaris, Andrei Bursuc, Patrick Pérez, Jean Ponce
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[DOI]
Mc-BEiT: Multi-Choice Discretization for Image BERT Pre-training- Xiaotong Li, Yixiao Ge, Kun Yi, Zixuan Hu, Ying Shan, Ling-Yu Duan
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[DOI]
Bootstrapped Masked Autoencoders for Vision BERT Pretraining- Xiaoyi Dong, Jianmin Bao, Ting Zhang, Dongdong Chen, Weiming Zhang, Lu Yuan, Dong Chen, Fang Wen, Nenghai Yu
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[DOI]
Unsupervised Visual Representation Learning by Synchronous Momentum Grouping- Bo Pang, Yifan Zhang, Yaoyi Li, Jia Cai, Cewu Lu
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[DOI]
Improving Few-Shot Part Segmentation Using Coarse Supervision- Oindrila Saha, Zezhou Cheng, Subhransu Maji
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[DOI]
What to Hide from Your Students: Attention-Guided Masked Image Modeling- Ioannis Kakogeorgiou, Spyros Gidaris, Bill Psomas, Yannis Avrithis, Andrei Bursuc, Konstantinos Karantzalos, Nikos Komodakis
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[DOI]
Pointly-Supervised Panoptic Segmentation- Junsong Fan, Zhaoxiang Zhang, Tieniu Tan
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[DOI]
MVP: Multimodality-Guided Visual Pre-training- Longhui Wei, Lingxi Xie, Wengang Zhou, Houqiang Li, Qi Tian
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[DOI]
Locally Varying Distance Transform for Unsupervised Visual Anomaly Detection- Wen-Yan Lin, Zhonghang Liu, Siying Liu
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[DOI]
HRDA: Context-Aware High-Resolution Domain-Adaptive Semantic Segmentation- Lukas Hoyer, Dengxin Dai, Luc Van Gool
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[DOI]
SPot-the-Difference Self-Supervised Pre-training for Anomaly Detection and Segmentation- Yang Zou, Jongheon Jeong, Latha Pemula, Dongqing Zhang, Onkar Dabeer
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[DOI]
Dual-Domain Self-Supervised Learning and Model Adaption for Deep Compressive Imaging- Yuhui Quan, Xinran Qin, Tongyao Pang, Hui Ji
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[DOI]
Unsupervised Selective Labeling for More Effective Semi-Supervised Learning- Xudong Wang, Long Lian, Stella X. Yu
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[DOI]
Max Pooling with Vision Transformers Reconciles Class and Shape in Weakly Supervised Semantic Segmentation- Simone Rossetti, Damiano Zappia, Marta Sanzari, Marco Schaerf, Fiora Pirri
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[DOI]
Dense Siamese Network for Dense Unsupervised Learning- Wenwei Zhang, Jiangmiao Pang, Kai Chen, Chen Change Loy
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[DOI]
Multi-Granularity Distillation Scheme towards Lightweight Semi-Supervised Semantic Segmentation- Jie Qin, Jie Wu, Ming Li, Xuefeng Xiao, Min Zheng, Xingang Wang
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[DOI]
CP2: Copy-Paste Contrastive Pretraining for Semantic Segmentation- Feng Wang, Huiyu Wang, Chen Wei, Alan Yuille, Wei Shen
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[DOI]
Self-Filtering: A Noise-Aware Sample Selection for Label Noise with Confidence Penalization- Qi Wei, Haoliang Sun, Xiankai Lu, Yilong Yin
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[DOI]
RDA: Reciprocal Distribution Alignment for Robust Semi-Supervised Learning- Yue Duan, Lei Qi, Lei Wang, Luping Zhou, Yinghuan Shi
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[DOI]
MemSAC: Memory Augmented Sample Consistency for Large Scale Domain Adaptation- Tarun Kalluri, Astuti Sharma, Manmohan Chandraker
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[DOI]
United Defocus Blur Detection and Deblurring via Adversarial Promoting Learning- Wenda Zhao, Fei Wei, You He, Huchuan Lu
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[DOI]
Synergistic Self-Supervised and Quantization Learning- Yun-Hao Cao, Peiqin Sun, Yechang Huang, Jianxin Wu, Shuchang Zhou
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[DOI]
Semi-Supervised Vision Transformers- Zejia Weng, Xitong Yang, Ang Li, Zuxuan Wu, Yu-Gang Jiang
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[DOI]
Domain Adaptive Video Segmentation via Temporal Pseudo Supervision- Yun Xing, Dayan Guan, Jiaxing Huang, Shijian Lu
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[DOI]
Diverse Learner: Exploring Diverse Supervision for Semi-Supervised Object Detection- Linfeng Li, Minyue Jiang, Yue Yu, Wei Zhang, Xiangru Lin, Yingying Li, Xiao Tan, Jingdong Wang, Errui Ding
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[DOI]
A Closer Look at Invariances in Self-Supervised Pre-training for 3D Vision- Lanxiao Li, Michael Heizmann
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[DOI]
ConMatch: Semi-Supervised Learning with Confidence-Guided Consistency Regularization- Jiwon Kim, Youngjo Min, Daehwan Kim, Gyuseong Lee, Junyoung Seo, Kwangrok Ryoo, Seungryong Kim
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[DOI]
FedX: Unsupervised Federated Learning with Cross Knowledge Distillation- Sungwon Han, Sungwon Park, Fangzhao Wu, Sundong Kim, Chuhan Wu, Xing Xie, Meeyoung Cha
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[DOI]
W2N: Switching from Weak Supervision to Noisy Supervision for Object Detection- Zitong Huang, Yiping Bao, Bowen Dong, Erjin Zhou, Wangmeng Zuo
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[DOI]
Decoupled Adversarial Contrastive Learning for Self-Supervised Adversarial Robustness- Chaoning Zhang, Kang Zhang, Chenshuang Zhang, Axi Niu, Jiu Feng, Chang D. Yoo, In So Kweon
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[DOI]
GOCA: Guided Online Cluster Assignment for Self-Supervised Video Representation Learning- Huseyin Coskun, Alireza Zareian, Joshua L. Moore, Federico Tombari, Chen Wang
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[DOI]
Constrained Mean Shift Using Distant Yet Related Neighbors for Representation Learning- K L Navaneet, Soroush Abbasi Koohpayegani, Ajinkya Tejankar, Kossar Pourahmadi, Akshayvarun Subramanya, Hamed Pirsiavash
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[DOI]
Revisiting the Critical Factors of Augmentation-Invariant Representation Learning- Junqiang Huang, Xiangwen Kong, Xiangyu Zhang
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[DOI]
CA-SSL: Class-Agnostic Semi-Supervised Learning for Detection and Segmentation- Lu Qi, Jason Kuen, Zhe Lin, Jiuxiang Gu, Fengyun Rao, Dian Li, Weidong Guo, Zhen Wen, Ming-Hsuan Yang, Jiaya Jia
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[DOI]
Dual Adaptive Transformations for Weakly Supervised Point Cloud Segmentation- Zhonghua Wu, Yicheng Wu, Guosheng Lin, Jianfei Cai, Chen Qian
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[DOI]
Semantic-Aware Fine-Grained Correspondence- Yingdong Hu, Renhao Wang, Kaifeng Zhang, Yang Gao
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[DOI]
Self-Supervised Classification Network- Elad Amrani, Leonid Karlinsky, Alex Bronstein
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[DOI]
Data Invariants to Understand Unsupervised Out-of-Distribution Detection- Lars Doorenbos, Raphael Sznitman, Pablo Márquez-Neila
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[DOI]
Domain Invariant Masked Autoencoders for Self-Supervised Learning from Multi-Domains- Haiyang Yang, Shixiang Tang, Meilin Chen, Yizhou Wang, Feng Zhu, Lei Bai, Rui Zhao, Wanli Ouyang
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[DOI]
Semi-Supervised Object Detection via Virtual Category Learning- Changrui Chen, Kurt Debattista, Jungong Han
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[DOI]
Completely Self-Supervised Crowd Counting via Distribution Matching- Deepak Babu Sam, Abhinav Agarwalla, Jimmy Joseph, Vishwanath A. Sindagi, R. Venkatesh Babu, Vishal M. Patel
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[DOI]
Coarse-to-Fine Incremental Few-Shot Learning- Xiang Xiang, Yuwen Tan, Qian Wan, Jing Ma, Alan Yuille, Gregory D. Hager
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[DOI]
Learning Unbiased Transferability for Domain Adaptation by Uncertainty Modeling- Jian Hu, Haowen Zhong, Fei Yang, Shaogang Gong, Guile Wu, Junchi Yan
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[DOI]
Learn2Augment: Learning to Composite Videos for Data Augmentation in Action Recognition- Shreyank N Gowda, Marcus Rohrbach, Frank Keller, Laura Sevilla-Lara
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[DOI]
CYBORGS: Contrastively Bootstrapping Object Representations by Grounding in Segmentation- Renhao Wang, Hang Zhao, Yang Gao
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[DOI]
PSS: Progressive Sample Selection for Open-World Visual Representation Learning- Tianyue Cao, Yongxin Wang, Yifan Xing, Tianjun Xiao, Tong He, Zheng Zhang, Hao Zhou, Joseph Tighe
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[DOI]
Improving Self-Supervised Lightweight Model Learning via Hard-Aware Metric Distillation- Hao Liu, Mang Ye
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[DOI]
Object Discovery via Contrastive Learning for Weakly Supervised Object Detection- Jinhwan Seo, Wonho Bae, Danica J. Sutherland, Junhyug Noh, Daijin Kim
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[DOI]
Stochastic Consensus: Enhancing Semi-Supervised Learning with Consistency of Stochastic Classifiers- Hui Tang, Lin Sun, Kui Jia
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[DOI]
DiffuseMorph: Unsupervised Deformable Image Registration Using Diffusion Model- Boah Kim, Inhwa Han, Jong Chul Ye
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[DOI]
Semi-Leak: Membership Inference Attacks against Semi-Supervised Learning- Xinlei He, Hongbin Liu, Neil Zhenqiang Gong, Yang Zhang
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[DOI]
OpenLDN: Learning to Discover Novel Classes for Open-World Semi-Supervised Learning- Mamshad Nayeem Rizve, Navid Kardan, Salman Khan, Fahad Shahbaz Khan, Mubarak Shah
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[DOI]
Embedding Contrastive Unsupervised Features to Cluster in- and Out-of-Distribution Noise in Corrupted Image Datasets- Paul Albert, Eric Arazo, Noel E. O’Connor, Kevin McGuinness
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[DOI]
Unsupervised Few-Shot Image Classification by Learning Features into Clustering Space- Shuo Li, Fang Liu, Zehua Hao, Kaibo Zhao, Licheng Jiao
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[DOI]
Towards Realistic Semi-Supervised Learning- Mamshad Nayeem Rizve, Navid Kardan, Mubarak Shah
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[DOI]
Masked Siamese Networks for Label-Efficient Learning- Mahmoud Assran, Mathilde Caron, Ishan Misra, Piotr Bojanowski, Florian Bordes, Pascal Vincent, Armand Joulin, Michael Rabbat, Nicolas Ballas
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[DOI]
Natural Synthetic Anomalies for Self-Supervised Anomaly Detection and Localization- Hannah M. Schlüter, Jeremy Tan, Benjamin Hou, Bernhard Kainz
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[DOI]
Understanding Collapse in Non-Contrastive Siamese Representation Learning- Alexander C. Li, Alexei A. Efros, Deepak Pathak
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[DOI]
Federated Self-Supervised Learning for Video Understanding- Yasar Abbas Ur Rehman, Yan Gao, Jiajun Shen, Pedro Porto Buarque de Gusmão, Nicholas Lane
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[DOI]
Towards Efficient and Effective Self-Supervised Learning of Visual Representations- Sravanti Addepalli, Kaushal Bhogale, Priyam Dey, R. Venkatesh Babu
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[DOI]
DSR – A Dual Subspace Re-Projection Network for Surface Anomaly Detection- Vitjan Zavrtanik, Matej Kristan, Danijel Skočaj
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[DOI]
PseudoAugment: Learning to Use Unlabeled Data for Data Augmentation in Point Clouds- Zhaoqi Leng, Shuyang Cheng, Benjamin Caine, Weiyue Wang, Xiao Zhang, Jonathon Shlens, Mingxing Tan, Dragomir Anguelov
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[DOI]
MVSTER: Epipolar Transformer for Efficient Multi-View Stereo- Xiaofeng Wang, Zheng Zhu, Guan Huang, Fangbo Qin, Yun Ye, Yijia He, Xu Chi, Xingang Wang
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[DOI]
RelPose: Predicting Probabilistic Relative Rotation for Single Objects in the Wild- Jason Y. Zhang, Deva Ramanan, Shubham Tulsiani
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[DOI]
R2L: Distilling Neural Radiance Field to Neural Light Field for Efficient Novel View Synthesis- Huan Wang, Jian Ren, Zeng Huang, Kyle Olszewski, Menglei Chai, Yun Fu, Sergey Tulyakov
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[DOI]
KD-MVS: Knowledge Distillation Based Self-Supervised Learning for Multi-View Stereo- Yikang Ding, Qingtian Zhu, Xiangyue Liu, Wentao Yuan, Haotian Zhang, Chi Zhang
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[DOI]
SALVe: Semantic Alignment Verification for Floorplan Reconstruction from Sparse Panoramas- John Lambert, Yuguang Li, Ivaylo Boyadzhiev, Lambert Wixson, Manjunath Narayana, Will Hutchcroft, James Hays, Frank Dellaert, Sing Bing Kang
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[DOI]
RC-MVSNet: Unsupervised Multi-View Stereo with Neural Rendering- Di Chang, Aljaž Božič, Tong Zhang, Qingsong Yan, Yingcong Chen, Sabine Süsstrunk, Matthias Nießner
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[DOI]
Box2Mask: Weakly Supervised 3D Semantic Instance Segmentation Using Bounding Boxes- Julian Chibane, Francis Engelmann, Tuan Anh Tran, Gerard Pons-Moll
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[DOI]
NeILF: Neural Incident Light Field for Physically-Based Material Estimation- Yao Yao, Jingyang Zhang, Jingbo Liu, Yihang Qu, Tian Fang, David McKinnon, Yanghai Tsin, Long Quan
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[DOI]
ARF: Artistic Radiance Fields- Kai Zhang, Nick Kolkin, Sai Bi, Fujun Luan, Zexiang Xu, Eli Shechtman, Noah Snavely
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[DOI]
Multiview Stereo with Cascaded Epipolar RAFT- Zeyu Ma, Zachary Teed, Jia Deng
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[DOI]
ARAH: Animatable Volume Rendering of Articulated Human SDFs- Shaofei Wang, Katja Schwarz, Andreas Geiger, Siyu Tang
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[DOI]
ASpanFormer: Detector-Free Image Matching with Adaptive Span Transformer- Hongkai Chen, Zixin Luo, Lei Zhou, Yurun Tian, Mingmin Zhen, Tian Fang, David McKinnon, Yanghai Tsin, Long Quan
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[DOI]
NDF: Neural Deformable Fields for Dynamic Human Modelling- Ruiqi Zhang, Jie Chen
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[DOI]
Neural Density-Distance Fields- Itsuki Ueda, Yoshihiro Fukuhara, Hirokatsu Kataoka, Hiroaki Aizawa, Hidehiko Shishido, Itaru Kitahara
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[DOI]
NeXT: Towards High Quality Neural Radiance Fields via Multi-Skip Transformer- Yunxiao Wang, Yanjie Li, Peidong Liu, Tao Dai, Shu-Tao Xia
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[DOI]
Learning Online Multi-sensor Depth Fusion- Erik Sandström, Martin R. Oswald, Suryansh Kumar, Silvan Weder, Fisher Yu, Cristian Sminchisescu, Luc Van Gool
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[DOI]
BungeeNeRF: Progressive Neural Radiance Field for Extreme Multi-Scale Scene Rendering- Yuanbo Xiangli, Linning Xu, Xingang Pan, Nanxuan Zhao, Anyi Rao, Christian Theobalt, Bo Dai, Dahua Lin
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[DOI]
Decomposing the Tangent of Occluding Boundaries according to Curvatures and Torsions- Huizong Yang, Anthony Yezzi
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[DOI]
NeuRIS: Neural Reconstruction of Indoor Scenes Using Normal Priors- Jiepeng Wang, Peng Wang, Xiaoxiao Long, Christian Theobalt, Taku Komura, Lingjie Liu, Wenping Wang
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[DOI]
Generalizable Patch-Based Neural Rendering- Mohammed Suhail, Carlos Esteves, Leonid Sigal, Ameesh Makadia
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[DOI]
Improving RGB-D Point Cloud Registration by Learning Multi-Scale Local Linear Transformation- Ziming Wang, Xiaoliang Huo, Zhenghao Chen, Jing Zhang, Lu Sheng, Dong Xu
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[DOI]
Real-Time Neural Character Rendering with Pose-Guided Multiplane Images- Hao Ouyang, Bo Zhang, Pan Zhang, Hao Yang, Jiaolong Yang, Dong Chen, Qifeng Chen, Fang Wen
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[DOI]
SparseNeuS: Fast Generalizable Neural Surface Reconstruction from Sparse Views- Xiaoxiao Long, Cheng Lin, Peng Wang, Taku Komura, Wenping Wang
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[DOI]
Disentangling Object Motion and Occlusion for Unsupervised Multi-Frame Monocular Depth- Ziyue Feng, Liang Yang, Longlong Jing, Haiyan Wang, YingLi Tian, Bing Li
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[DOI]
Depth Field Networks for Generalizable Multi-View Scene Representation- Vitor Guizilini, Igor Vasiljevic, Jiading Fang, Rareș Ambruș, Greg Shakhnarovich, Matthew R. Walter, Adrien Gaidon
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Context-Enhanced Stereo Transformer- Weiyu Guo, Zhaoshuo Li, Yongkui Yang, Zheng Wang, Russell H. Taylor, Mathias Unberath, Alan Yuille, Yingwei Li
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[DOI]
PCW-Net: Pyramid Combination and Warping Cost Volume for Stereo Matching- Zhelun Shen, Yuchao Dai, Xibin Song, Zhibo Rao, Dingfu Zhou, Liangjun Zhang
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[DOI]
Gen6D: Generalizable Model-Free 6-DoF Object Pose Estimation from RGB Images- Yuan Liu, Yilin Wen, Sida Peng, Cheng Lin, Xiaoxiao Long, Taku Komura, Wenping Wang
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[DOI]
Latency-Aware Collaborative Perception- Zixing Lei, Shunli Ren, Yue Hu, Wenjun Zhang, Siheng Chen
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[DOI]
TensoRF: Tensorial Radiance Fields- Anpei Chen, Zexiang Xu, Andreas Geiger, Jingyi Yu, Hao Su
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[DOI]
NeFSAC: Neurally Filtered Minimal Samples- Luca Cavalli, Marc Pollefeys, Daniel Barath
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[DOI]
SNeS: Learning Probably Symmetric Neural Surfaces from Incomplete Data- Eldar Insafutdinov, Dylan Campbell, João F. Henriques, Andrea Vedaldi
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[DOI]
HDR-Plenoxels: Self-Calibrating High Dynamic Range Radiance Fields- Kim Jun-Seong, Kim Yu-Ji, Moon Ye-Bin, Tae-Hyun Oh
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[DOI]
NeuMan: Neural Human Radiance Field from a Single Video- Wei Jiang, Kwang Moo Yi, Golnoosh Samei, Oncel Tuzel, Anurag Ranjan
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[DOI]
TAVA: Template-Free Animatable Volumetric Actors- Ruilong Li, Julian Tanke, Minh Vo, Michael Zollhöfer, Jürgen Gall, Angjoo Kanazawa, Christoph Lassner
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[DOI]
EASNet: Searching Elastic and Accurate Network Architecture for Stereo Matching- Qiang Wang, Shaohuai Shi, Kaiyong Zhao, Xiaowen Chu
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[DOI]
Relative Pose from SIFT Features- Daniel Barath, Zuzana Kukelova
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[DOI]
Selection and Cross Similarity for Event-Image Deep Stereo- Hoonhee Cho, Kuk-Jin Yoon
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[DOI]
D3Net: A Unified Speaker-Listener Architecture for 3D Dense Captioning and Visual Grounding- Zhenyu Chen, Qirui Wu, Matthias Nießner, Angel X. Chang
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[DOI]
CIRCLE: Convolutional Implicit Reconstruction and Completion for Large-Scale Indoor Scene- Hao-Xiang Chen, Jiahui Huang, Tai-Jiang Mu, Shi-Min Hu
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[DOI]
ParticleSfM: Exploiting Dense Point Trajectories for Localizing Moving Cameras in the Wild- Wang Zhao, Shaohui Liu, Hengkai Guo, Wenping Wang, Yong-Jin Liu
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[DOI]
4DContrast: Contrastive Learning with Dynamic Correspondences for 3D Scene Understanding- Yujin Chen, Matthias Nießner, Angela Dai
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[DOI]
Few ‘Zero Level Set’-Shot Learning of Shape Signed Distance Functions in Feature Space- Amine Ouasfi, Adnane Boukhayma
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[DOI]
Solution Space Analysis of Essential Matrix Based on Algebraic Error Minimization- Gaku Nakano
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[DOI]
Approximate Differentiable Rendering with Algebraic Surfaces- Leonid Keselman, Martial Hebert
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[DOI]
CoVisPose: Co-Visibility Pose Transformer for Wide-Baseline Relative Pose Estimation in 360° Indoor Panoramas- Will Hutchcroft, Yuguang Li, Ivaylo Boyadzhiev, Zhiqiang Wan, Haiyan Wang, Sing Bing Kang
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[DOI]
Affine Correspondences between Multi-Camera Systems for 6DOF Relative Pose Estimation- Banglei Guan, Ji Zhao
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[DOI]
GraphFit: Learning Multi-Scale Graph-Convolutional Representation for Point Cloud Normal Estimation- Keqiang Li, Mingyang Zhao, Huaiyu Wu, Dong-Ming Yan, Zhen Shen, Fei-Yue Wang, Gang Xiong
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[DOI]
IS-MVSNet: Importance Sampling-Based MVSNet- Likang Wang, Yue Gong, Xinjun Ma, Qirui Wang, Kaixuan Zhou, Lei Chen
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[DOI]
Point Scene Understanding via Disentangled Instance Mesh Reconstruction- Jiaxiang Tang, Xiaokang Chen, Jingbo Wang, Gang Zeng
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[DOI]
DiffuStereo: High Quality Human Reconstruction via Diffusion-Based Stereo Using Sparse Cameras- Ruizhi Shao, Zerong Zheng, Hongwen Zhang, Jingxiang Sun, Yebin Liu
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[DOI]
Space-Partitioning RANSAC- Daniel Barath, Gábor Valasek
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[DOI]
SimpleRecon: 3D Reconstruction without 3D Convolutions- Mohamed Sayed, John Gibson, Jamie Watson, Victor Prisacariu, Michael Firman, Clément Godard
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[DOI]
Structure and Motion from Casual Videos- Zhoutong Zhang, Forrester Cole, Zhengqi Li, Noah Snavely, Michael Rubinstein, William T. Freeman
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[DOI]
What Matters for 3D Scene Flow Network- Guangming Wang, Yunzhe Hu, Zhe Liu, Yiyang Zhou, Masayoshi Tomizuka, Wei Zhan, Hesheng Wang
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[DOI]
Correspondence Reweighted Translation Averaging- Lalit Manam, Venu Madhav Govindu
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[DOI]
Neural Strands: Learning Hair Geometry and Appearance from Multi-View Images- Radu Alexandru Rosu, Shunsuke Saito, Ziyan Wang, Chenglei Wu, Sven Behnke, Giljoo Nam
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[DOI]
GraphCSPN: Geometry-Aware Depth Completion via Dynamic GCNs- Xin Liu, Xiaofei Shao, Bo Wang, Yali Li, Shengjin Wang
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[DOI]
Objects Can Move: 3D Change Detection by Geometric Transformation Consistency- Aikaterini Adam, Torsten Sattler, Konstantinos Karantzalos, Tomas Pajdla
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[DOI]
Language-Grounded Indoor 3D Semantic Segmentation in the Wild- Dávid Rozenberszki, Or Litany, Angela Dai
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[DOI]
Beyond Periodicity: Towards a Unifying Framework for Activations in Coordinate-MLPs- Sameera Ramasinghe, Simon Lucey
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[DOI]
Deforming Radiance Fields with Cages- Tianhan Xu, Tatsuya Harada
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[DOI]
FLEX: Extrinsic Parameters-Free Multi-View 3D Human Motion Reconstruction- Brian Gordon, Sigal Raab, Guy Azov, Raja Giryes, Daniel Cohen-Or
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[DOI]
MODE: Multi-View Omnidirectional Depth Estimation with 360° Cameras- Ming Li, Xueqian Jin, Xuejiao Hu, Jingzhao Dai, Sidan Du, Yang Li
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[DOI]
GigaDepth: Learning Depth from Structured Light with Branching Neural Networks- Simon Schreiberhuber, Jean-Baptiste Weibel, Timothy Patten, Markus Vincze
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[DOI]
ActiveNeRF: Learning Where to See with Uncertainty Estimation- Xuran Pan, Zihang Lai, Shiji Song, Gao Huang
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[DOI]
PoserNet: Refining Relative Camera Poses Exploiting Object Detections- Matteo Taiana, Matteo Toso, Stuart James, Alessio Del Bue
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[DOI]
Gaussian Activated Neural Radiance Fields for High Fidelity Reconstruction & Pose Estimation- Shin-Fang Chng, Sameera Ramasinghe, Jamie Sherrah, Simon Lucey
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[DOI]
Unbiased Gradient Estimation for Differentiable Surface Splatting via Poisson Sampling- Jan U. Müller, Michael Weinmann, Reinhard Klein
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[DOI]
Towards Learning Neural Representations from Shadows- Kushagra Tiwary, Tzofi Klinghoffer, Ramesh Raskar
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[DOI]
Class-Incremental Novel Class Discovery- Subhankar Roy, Mingxuan Liu, Zhun Zhong, Nicu Sebe, Elisa Ricci
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[DOI]
Unknown-Oriented Learning for Open Set Domain Adaptation- Jie Liu, Xiaoqing Guo, Yixuan Yuan
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Prototype-Guided Continual Adaptation for Class-Incremental Unsupervised Domain Adaptation- Hongbin Lin, Yifan Zhang, Zhen Qiu, Shuaicheng Niu, Chuang Gan, Yanxia Liu, Mingkui Tan
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DecoupleNet: Decoupled Network for Domain Adaptive Semantic Segmentation- Xin Lai, Zhuotao Tian, Xiaogang Xu, Yingcong Chen, Shu Liu, Hengshuang Zhao, Liwei Wang, Jiaya Jia
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Class-Agnostic Object Counting Robust to Intraclass Diversity- Shenjian Gong, Shanshan Zhang, Jian Yang, Dengxin Dai, Bernt Schiele
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[DOI]
Burn after Reading: Online Adaptation for Cross-Domain Streaming Data- Luyu Yang, Mingfei Gao, Zeyuan Chen, Ran Xu, Abhinav Shrivastava, Chetan Ramaiah
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[DOI]
Mind the Gap in Distilling StyleGANs- Guodong Xu, Yuenan Hou, Ziwei Liu, Chen Change Loy
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[DOI]
Improving Test-Time Adaptation via Shift-Agnostic Weight Regularization and Nearest Source Prototypes- Sungha Choi, Seunghan Yang, Seokeon Choi, Sungrack Yun
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[DOI]
Learning Instance-Specific Adaptation for Cross-Domain Segmentation- Yuliang Zou, Zizhao Zhang, Chun-Liang Li, Han Zhang, Tomas Pfister, Jia-Bin Huang
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[DOI]
RegionCL: Exploring Contrastive Region Pairs for Self-Supervised Representation Learning- Yufei Xu, Qiming Zhang, Jing Zhang, Dacheng Tao
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[DOI]
Long-Tailed Class Incremental Learning- Xialei Liu, Yu-Song Hu, Xu-Sheng Cao, Andrew D. Bagdanov, Ke Li, Ming-Ming Cheng
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[DOI]
DLCFT: Deep Linear Continual Fine-Tuning for General Incremental Learning- Hyounguk Shon, Janghyeon Lee, Seung Hwan Kim, Junmo Kim
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[DOI]
Adversarial Partial Domain Adaptation by Cycle Inconsistency- Kun-Yu Lin, Jiaming Zhou, Yukun Qiu, Wei-Shi Zheng
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[DOI]
Combating Label Distribution Shift for Active Domain Adaptation- Sehyun Hwang, Sohyun Lee, Sungyeon Kim, Jungseul Ok, Suha Kwak
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[DOI]
GIPSO: Geometrically Informed Propagation for Online Adaptation in 3D LiDAR Segmentation- Cristiano Saltori, Evgeny Krivosheev, Stéphane Lathuilière, Nicu Sebe, Fabio Galasso, Giuseppe Fiameni, Elisa Ricci, Fabio Poiesi
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CoSMix: Compositional Semantic Mix for Domain Adaptation in 3D LiDAR Segmentation- Cristiano Saltori, Fabio Galasso, Giuseppe Fiameni, Nicu Sebe, Elisa Ricci, Fabio Poiesi
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A Unified Framework for Domain Adaptive Pose Estimation- Donghyun Kim, Kaihong Wang, Kate Saenko, Margrit Betke, Stan Sclaroff
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[DOI]
A Broad Study of Pre-training for Domain Generalization and Adaptation- Donghyun Kim, Kaihong Wang, Stan Sclaroff, Kate Saenko
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[DOI]
Prior Knowledge Guided Unsupervised Domain Adaptation- Tao Sun, Cheng Lu, Haibin Ling
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[DOI]
GCISG: Guided Causal Invariant Learning for Improved Syn-to-Real Generalization- Gilhyun Nam, Gyeongjae Choi, Kyungmin Lee
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AcroFOD: An Adaptive Method for Cross-Domain Few-Shot Object Detection- Yipeng Gao, Lingxiao Yang, Yunmu Huang, Song Xie, Shiyong Li, Wei-Shi Zheng
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[DOI]
Unsupervised Domain Adaptation for One-Stage Object Detector Using Offsets to Bounding Box- Jayeon Yoo, Inseop Chung, Nojun Kwak
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[DOI]
Visual Prompt Tuning- Menglin Jia, Luming Tang, Bor-Chun Chen, Claire Cardie, Serge Belongie, Bharath Hariharan, Ser-Nam Lim
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[DOI]
Quasi-Balanced Self-Training on Noise-Aware Synthesis of Object Point Clouds for Closing Domain Gap- Yongwei Chen, Zihao Wang, Longkun Zou, Ke Chen, Kui Jia
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[DOI]
Interpretable Open-Set Domain Adaptation via Angular Margin Separation- Xinhao Li, Jingjing Li, Zhekai Du, Lei Zhu, Wen Li
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[DOI]
TACS: Taxonomy Adaptive Cross-Domain Semantic Segmentation- Rui Gong, Martin Danelljan, Dengxin Dai, Danda Pani Paudel, Ajad Chhatkuli, Fisher Yu, Luc Van Gool
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Prototypical Contrast Adaptation for Domain Adaptive Semantic Segmentation- Zhengkai Jiang, Yuxi Li, Ceyuan Yang, Peng Gao, Yabiao Wang, Ying Tai, Chengjie Wang
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RBC: Rectifying the Biased Context in Continual Semantic Segmentation- Hanbin Zhao, Fengyu Yang, Xinghe Fu, Xi Li
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[DOI]
Factorizing Knowledge in Neural Networks- Xingyi Yang, Jingwen Ye, Xinchao Wang
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[DOI]
Contrastive Vicinal Space for Unsupervised Domain Adaptation- Jaemin Na, Dongyoon Han, Hyung Jin Chang, Wonjun Hwang
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[DOI]
Cross-Modal Knowledge Transfer without Task-Relevant Source Data- Sk Miraj Ahmed, Suhas Lohit, Kuan-Chuan Peng, Michael J. Jones, Amit K. Roy-Chowdhury
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[DOI]
Online Domain Adaptation for Semantic Segmentation in Ever-Changing Conditions- Theodoros Panagiotakopoulos, Pier Luigi Dovesi, Linus Härenstam-Nielsen, Matteo Poggi
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Source-Free Video Domain Adaptation by Learning Temporal Consistency for Action Recognition- Yuecong Xu, Jianfei Yang, Haozhi Cao, Keyu Wu, Min Wu, Zhenghua Chen
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[DOI]
BMD: A General Class-Balanced Multicentric Dynamic Prototype Strategy for Source-Free Domain Adaptation- Sanqing Qu, Guang Chen, Jing Zhang, Zhijun Li, Wei He, Dacheng Tao
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[DOI]
Generalized Brain Image Synthesis with Transferable Convolutional Sparse Coding Networks- Yawen Huang, Feng Zheng, Xu Sun, Yuexiang Li, Ling Shao, Yefeng Zheng
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[DOI]
Incomplete Multi-View Domain Adaptation via Channel Enhancement and Knowledge Transfer- Haifeng Xia, Pu Wang, Zhengming Ding
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[DOI]
DistPro: Searching a Fast Knowledge Distillation Process via Meta Optimization- Xueqing Deng, Dawei Sun, Shawn Newsam, Peng Wang
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ML-BPM: Multi-Teacher Learning with Bidirectional Photometric Mixing for Open Compound Domain Adaptation in Semantic Segmentation- Fei Pan, Sungsu Hur, Seokju Lee, Junsik Kim, In So Kweon
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PACTran: PAC-Bayesian Metrics for Estimating the Transferability of Pretrained Models to Classification Tasks- Nan Ding, Xi Chen, Tomer Levinboim, Soravit Changpinyo, Radu Soricut
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Personalized Education: Blind Knowledge Distillation- Xiang Deng, Jian Zheng, Zhongfei Zhang
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[DOI]
Not All Models Are Equal: Predicting Model Transferability in a Self-Challenging Fisher Space- Wenqi Shao, Xun Zhao, Yixiao Ge, Zhaoyang Zhang, Lei Yang, Xiaogang Wang, Ying Shan, Ping Luo
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How Stable Are Transferability Metrics Evaluations?- Andrea Agostinelli, Michal Pándy, Jasper Uijlings, Thomas Mensink, Vittorio Ferrari
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Attention Diversification for Domain Generalization- Rang Meng, Xianfeng Li, Weijie Chen, Shicai Yang, Jie Song, Xinchao Wang, Lei Zhang, Mingli Song, Di Xie, Shiliang Pu
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ESS: Learning Event-Based Semantic Segmentation from Still Images- Zhaoning Sun, Nico Messikommer, Daniel Gehrig, Davide Scaramuzza
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[DOI]
An Efficient Spatio-Temporal Pyramid Transformer for Action Detection- Yuetian Weng, Zizheng Pan, Mingfei Han, Xiaojun Chang, Bohan Zhuang
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[DOI]
Human Trajectory Prediction via Neural Social Physics- Jiangbei Yue, Dinesh Manocha, He Wang
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[DOI]
Towards Open Set Video Anomaly Detection- Yuansheng Zhu, Wentao Bao, Qi Yu
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[DOI]
ECLIPSE: Efficient Long-Range Video Retrieval Using Sight and Sound- Yan-Bo Lin, Jie Lei, Mohit Bansal, Gedas Bertasius
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[DOI]
Joint-Modal Label Denoising for Weakly-Supervised Audio-Visual Video Parsing- Haoyue Cheng, Zhaoyang Liu, Hang Zhou, Chen Qian, Wayne Wu, Limin Wang
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[DOI]
Less than Few: Self-Shot Video Instance Segmentation- Pengwan Yang, Yuki M. Asano, Pascal Mettes, Cees G. M. Snoek
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[DOI]
Adaptive Face Forgery Detection in Cross Domain- Luchuan Song, Zheng Fang, Xiaodan Li, Xiaoyi Dong, Zhenchao Jin, Yuefeng Chen, Siwei Lyu
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[DOI]
Real-Time Online Video Detection with Temporal Smoothing Transformers- Yue Zhao, Philipp Krähenbühl
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[DOI]
TALLFormer: Temporal Action Localization with a Long-Memory Transformer- Feng Cheng, Gedas Bertasius
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[DOI]
Mining Relations among Cross-Frame Affinities for Video Semantic Segmentation- Guolei Sun, Yun Liu, Hao Tang, Ajad Chhatkuli, Le Zhang, Luc Van Gool
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[DOI]
TL;DW? Summarizing Instructional Videos with Task Relevance & Cross-Modal Saliency- Medhini Narasimhan, Arsha Nagrani, Chen Sun, Michael Rubinstein, Trevor Darrell, Anna Rohrbach, Cordelia Schmid
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[DOI]
Rethinking Learning Approaches for Long-Term Action Anticipation- Megha Nawhal, Akash Abdu Jyothi, Greg Mori
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[DOI]
DualFormer: Local-Global Stratified Transformer for Efficient Video Recognition- Yuxuan Liang, Pan Zhou, Roger Zimmermann, Shuicheng Yan
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[DOI]
Hierarchical Feature Alignment Network for Unsupervised Video Object Segmentation- Gensheng Pei, Fumin Shen, Yazhou Yao, Guo-Sen Xie, Zhenmin Tang, Jinhui Tang
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[DOI]
PAC-Net: Highlight Your Video via History Preference Modeling- Hang Wang, Penghao Zhou, Chong Zhou, Zhao Zhang, Xing Sun
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[DOI]
How Severe Is Benchmark-Sensitivity in Video Self-Supervised Learning?- Fida Mohammad Thoker, Hazel Doughty, Piyush Bagad, Cees G. M. Snoek
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[DOI]
A Sliding Window Scheme for Online Temporal Action Localization- Young Hwi Kim, Hyolim Kang, Seon Joo Kim
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[DOI]
ERA: Expert Retrieval and Assembly for Early Action Prediction- Lin Geng Foo, Tianjiao Li, Hossein Rahmani, Qiuhong Ke, Jun Liu
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[DOI]
Dual Perspective Network for Audio-Visual Event Localization- Varshanth Rao, Md Ibrahim Khalil, Haoda Li, Peng Dai, Juwei Lu
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[DOI]
NSNet: Non-Saliency Suppression Sampler for Efficient Video Recognition- Boyang Xia, Wenhao Wu, Haoran Wang, Rui Su, Dongliang He, Haosen Yang, Xiaoran Fan, Wanli Ouyang
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[DOI]
Video Activity Localisation with Uncertainties in Temporal Boundary- Jiabo Huang, Hailin Jin, Shaogang Gong, Yang Liu
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[DOI]
Temporal Saliency Query Network for Efficient Video Recognition- Boyang Xia, Zhihao Wang, Wenhao Wu, Haoran Wang, Jungong Han
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[DOI]
Efficient One-Stage Video Object Detection by Exploiting Temporal Consistency- Guanxiong Sun, Yang Hua, Guosheng Hu, Neil Robertson
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[DOI]
Leveraging Action Affinity and Continuity for Semi-Supervised Temporal Action Segmentation- Guodong Ding, Angela Yao
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[DOI]
"Spotting Temporally Precise, Fine-Grained Events in Video"- James Hong, Haotian Zhang, Michaël Gharbi, Matthew Fisher, Kayvon Fatahalian
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[DOI]
Unified Fully and Timestamp Supervised Temporal Action Segmentation via Sequence to Sequence Translation- Nadine Behrmann, S. Alireza Golestaneh, Zico Kolter, Jürgen Gall, Mehdi Noroozi
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[DOI]
Efficient Video Transformers with Spatial-Temporal Token Selection- Junke Wang, Xitong Yang, Hengduo Li, Li Liu, Zuxuan Wu, Yu-Gang Jiang
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[DOI]
Long Movie Clip Classification with State-Space Video Models- Md Mohaiminul Islam, Gedas Bertasius
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[DOI]
Prompting Visual-Language Models for Efficient Video Understanding- Chen Ju, Tengda Han, Kunhao Zheng, Ya Zhang, Weidi Xie
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[DOI]
Asymmetric Relation Consistency Reasoning for Video Relation Grounding- Huan Li, Ping Wei, Jiapeng Li, Zeyu Ma, Jiahui Shang, Nanning Zheng
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[DOI]
Self-Supervised Social Relation Representation for Human Group Detection- Jiacheng Li, Ruize Han, Haomin Yan, Zekun Qian, Wei Feng, Song Wang
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[DOI]
K-Centered Patch Sampling for Efficient Video Recognition- Seong Hyeon Park, Jihoon Tack, Byeongho Heo, Jung-Woo Ha, Jinwoo Shin
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[DOI]
A Deep Moving-Camera Background Model- Guy Erez, Ron Shapira Weber, Oren Freifeld
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[DOI]
GraphVid: It Only Takes a Few Nodes to Understand a Video- Eitan Kosman, Dotan Di Castro
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[DOI]
Delta Distillation for Efficient Video Processing- Amirhossein Habibian, Haitam Ben Yahia, Davide Abati, Efstratios Gavves, Fatih Porikli
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MorphMLP: An Efficient MLP-Like Backbone for Spatial-Temporal Representation Learning- David Junhao Zhang, Kunchang Li, Yali Wang, Yunpeng Chen, Shashwat Chandra, Yu Qiao, Luoqi Liu, Mike Zheng Shou
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COMPOSER: Compositional Reasoning of Group Activity in Videos with Keypoint-Only Modality- Honglu Zhou, Asim Kadav, Aviv Shamsian, Shijie Geng, Farley Lai, Long Zhao, Ting Liu, Mubbasir Kapadia, Hans Peter Graf
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[DOI]
E-NeRV: Expedite Neural Video Representation with Disentangled Spatial-Temporal Context- Zizhang Li, Mengmeng Wang, Huaijin Pi, Kechun Xu, Jianbiao Mei, Yong Liu
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[DOI]
TDViT: Temporal Dilated Video Transformer for Dense Video Tasks- Guanxiong Sun, Yang Hua, Guosheng Hu, Neil Robertson
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[DOI]
Semi-Supervised Learning of Optical Flow by Flow Supervisor- Woobin Im, Sebin Lee, Sung-Eui Yoon
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[DOI]
Flow Graph to Video Grounding for Weakly-Supervised Multi-step Localization- Nikita Dvornik, Isma Hadji, Hai Pham, Dhaivat Bhatt, Brais Martinez, Afsaneh Fazly, Allan D. Jepson
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[DOI]
Deep 360° Optical Flow Estimation Based on Multi-Projection Fusion- Yiheng Li, Connelly Barnes, Kun Huang, Fang-Lue Zhang
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[DOI]
MaCLR: Motion-Aware Contrastive Learning of Representations for Videos- Fanyi Xiao, Joseph Tighe, Davide Modolo
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[DOI]
Learning Long-Term Spatial-Temporal Graphs for Active Speaker Detection- Kyle Min, Sourya Roy, Subarna Tripathi, Tanaya Guha, Somdeb Majumdar
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Frozen CLIP Models Are Efficient Video Learners- Ziyi Lin, Shijie Geng, Renrui Zhang, Peng Gao, Gerard de Melo, Xiaogang Wang, Jifeng Dai, Yu Qiao, Hongsheng Li
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[DOI]
PIP: Physical Interaction Prediction via Mental Simulation with Span Selection- Jiafei Duan, Samson Yu, Soujanya Poria, Bihan Wen, Cheston Tan
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[DOI]
Panoramic Vision Transformer for Saliency Detection in 360° Videos- Heeseung Yun, Sehun Lee, Gunhee Kim
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[DOI]
Bayesian Tracking of Video Graphs Using Joint Kalman Smoothing and Registration- Aditi Basu Bal, Ramy Mounir, Sathyanarayanan Aakur, Sudeep Sarkar, Anuj Srivastava
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[DOI]
Motion Sensitive Contrastive Learning for Self-Supervised Video Representation- Jingcheng Ni, Nan Zhou, Jie Qin, Qian Wu, Junqi Liu, Boxun Li, Di Huang
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[DOI]
Dynamic Temporal Filtering In Video Models- Fuchen Long, Zhaofan Qiu, Yingwei Pan, Ting Yao, Chong-Wah Ngo, Tao Mei
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[DOI]
Tip-Adapter: Training-Free Adaption of CLIP for Few-Shot Classification- Renrui Zhang, Wei Zhang, Rongyao Fang, Peng Gao, Kunchang Li, Jifeng Dai, Yu Qiao, Hongsheng Li
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[DOI]
Temporal Lift Pooling for Continuous Sign Language Recognition- Lianyu Hu, Liqing Gao, Zekang Liu, Wei Feng
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[DOI]
MORE: Multi-Order RElation Mining for Dense Captioning in 3D Scenes- Yang Jiao, Shaoxiang Chen, Zequn Jie, Jingjing Chen, Lin Ma, Yu-Gang Jiang
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SiRi: A Simple Selective Retraining Mechanism for Transformer-Based Visual Grounding- Mengxue Qu, Yu Wu, Wu Liu, Qiqi Gong, Xiaodan Liang, Olga Russakovsky, Yao Zhao, Yunchao Wei
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Cross-Modal Prototype Driven Network for Radiology Report Generation- Jun Wang, Abhir Bhalerao, Yulan He
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[DOI]
TM2T: Stochastic and Tokenized Modeling for the Reciprocal Generation of 3D Human Motions and Texts- Chuan Guo, Xinxin Zuo, Sen Wang, Li Cheng
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SeqTR: A Simple Yet Universal Network for Visual Grounding- Chaoyang Zhu, Yiyi Zhou, Yunhang Shen, Gen Luo, Xingjia Pan, Mingbao Lin, Chao Chen, Liujuan Cao, Xiaoshuai Sun, Rongrong Ji
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[DOI]
VTC: Improving Video-Text Retrieval with User Comments- Laura Hanu, James Thewlis, Yuki M. Asano, Christian Rupprecht
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[DOI]
FashionViL: Fashion-Focused Vision-and-Language Representation Learning- Xiao Han, Licheng Yu, Xiatian Zhu, Li Zhang, Yi-Zhe Song, Tao Xiang
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[DOI]
Weakly Supervised Grounding for VQA in Vision-Language Transformers- Aisha Urooj, Hilde Kuehne, Chuang Gan, Niels Da Vitoria Lobo, Mubarak Shah
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[DOI]
Automatic Dense Annotation of Large-Vocabulary Sign Language Videos- Liliane Momeni, Hannah Bull, K R Prajwal, Samuel Albanie, Gül Varol, Andrew Zisserman
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MILES: Visual BERT Pre-training with Injected Language Semantics for Video-Text Retrieval- Yuying Ge, Yixiao Ge, Xihui Liu, Jinpeng Wang, Jianping Wu, Ying Shan, Xiaohu Qie, Ping Luo
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"GEB+: A Benchmark for Generic Event Boundary Captioning, Grounding and Retrieval"- Yuxuan Wang, Difei Gao, Licheng Yu, Weixian Lei, Matt Feiszli, Mike Zheng Shou
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[DOI]
A Simple and Robust Correlation Filtering Method for Text-Based Person Search- Wei Suo, Mengyang Sun, Kai Niu, Yiqi Gao, Peng Wang, Yanning Zhang, Qi Wu
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[DOI]
Making the Most of Text Semantics to Improve Biomedical Vision-Language Processing- Benedikt Boecking, Naoto Usuyama, Shruthi Bannur, Daniel C. Castro, Anton Schwaighofer, Stephanie Hyland, Maria Wetscherek, Tristan Naumann, Aditya Nori, Javier Alvarez-Valle, Hoifung Poon, Ozan Oktay
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[DOI]
Generative Negative Text Replay for Continual Vision-Language Pretraining- Shipeng Yan, Lanqing Hong, Hang Xu, Jianhua Han, Tinne Tuytelaars, Zhenguo Li, Xuming He
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[DOI]
Video Graph Transformer for Video Question Answering- Junbin Xiao, Pan Zhou, Tat-Seng Chua, Shuicheng Yan
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[DOI]
Trace Controlled Text to Image Generation- Kun Yan, Lei Ji, Chenfei Wu, Jianmin Bao, Ming Zhou, Nan Duan, Shuai Ma
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[DOI]
Video Question Answering with Iterative Video-Text Co-Tokenization- AJ Piergiovanni, Kairo Morton, Weicheng Kuo, Michael S. Ryoo, Anelia Angelova
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[DOI]
Rethinking Data Augmentation for Robust Visual Question Answering- Long Chen, Yuhang Zheng, Jun Xiao
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[DOI]
Explicit Image Caption Editing- Zhen Wang, Long Chen, Wenbo Ma, Guangxing Han, Yulei Niu, Jian Shao, Jun Xiao
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Can Shuffling Video Benefit Temporal Bias Problem: A Novel Training Framework for Temporal Grounding- Jiachang Hao, Haifeng Sun, Pengfei Ren, Jingyu Wang, Qi Qi, Jianxin Liao
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Reliable Visual Question Answering: Abstain Rather Than Answer Incorrectly- Spencer Whitehead, Suzanne Petryk, Vedaad Shakib, Joseph Gonzalez, Trevor Darrell, Anna Rohrbach, Marcus Rohrbach
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[DOI]
GRIT: Faster and Better Image Captioning Transformer Using Dual Visual Features- Van-Quang Nguyen, Masanori Suganuma, Takayuki Okatani
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[DOI]
Selective Query-Guided Debiasing for Video Corpus Moment Retrieval- Sunjae Yoon, Ji Woo Hong, Eunseop Yoon, Dahyun Kim, Junyeong Kim, Hee Suk Yoon, Chang D. Yoo
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[DOI]
Spatial and Visual Perspective-Taking via View Rotation and Relation Reasoning for Embodied Reference Understanding- Cheng Shi, Sibei Yang
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[DOI]
Object-Centric Unsupervised Image Captioning- Zihang Meng, David Yang, Xuefei Cao, Ashish Shah, Ser-Nam Lim
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[DOI]
Contrastive Vision-Language Pre-training with Limited Resources- Quan Cui, Boyan Zhou, Yu Guo, Weidong Yin, Hao Wu, Osamu Yoshie, Yubo Chen
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[DOI]
Learning Linguistic Association towards Efficient Text-Video Retrieval- Sheng Fang, Shuhui Wang, Junbao Zhuo, Xinzhe Han, Qingming Huang
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[DOI]
ASSISTER: Assistive Navigation via Conditional Instruction Generation- Zanming Huang, Zhongkai Shangguan, Jimuyang Zhang, Gilad Bar, Matthew Boyd, Eshed Ohn-Bar
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X-DETR: A Versatile Architecture for Instance-Wise Vision-Language Tasks- Zhaowei Cai, Gukyeong Kwon, Avinash Ravichandran, Erhan Bas, Zhuowen Tu, Rahul Bhotika, Stefano Soatto
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[DOI]
Learning Disentanglement with Decoupled Labels for Vision-Language Navigation- Wenhao Cheng, Xingping Dong, Salman Khan, Jianbing Shen
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[DOI]
Switch-BERT: Learning to Model Multimodal Interactions by Switching Attention and Input- Qingpei Guo, Kaisheng Yao, Wei Chu
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[DOI]
Word-Level Fine-Grained Story Visualization- Bowen Li
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[DOI]
Unifying Event Detection and Captioning as Sequence Generation via Pre-training- Qi Zhang, Yuqing Song, Qin Jin
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[DOI]
Multimodal Transformer with Variable-Length Memory for Vision-and-Language Navigation- Chuang Lin, Yi Jiang, Jianfei Cai, Lizhen Qu, Gholamreza Haffari, Zehuan Yuan
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[DOI]
Fine-Grained Visual Entailment- Christopher Thomas, Yipeng Zhang, Shih-Fu Chang
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[DOI]
Bottom Up Top down Detection Transformers for Language Grounding in Images and Point Clouds- Ayush Jain, Nikolaos Gkanatsios, Ishita Mediratta, Katerina Fragkiadaki
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[DOI]
New Datasets and Models for Contextual Reasoning in Visual Dialog- Yifeng Zhang, Ming Jiang, Qi Zhao
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[DOI]
VisageSynTalk: Unseen Speaker Video-to-Speech Synthesis via Speech-Visage Feature Selection- Joanna Hong, Minsu Kim, Yong Man Ro
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[DOI]
Classification-Regression for Chart Comprehension- Matan Levy, Rami Ben-Ari, Dani Lischinski
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[DOI]
AssistQ: Affordance-Centric Question-Driven Task Completion for Egocentric Assistant- Benita Wong, Joya Chen, You Wu, Stan Weixian Lei, Dongxing Mao, Difei Gao, Mike Zheng Shou
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FindIt: Generalized Localization with Natural Language Queries- Weicheng Kuo, Fred Bertsch, Wei Li, AJ Piergiovanni, Mohammad Saffar, Anelia Angelova
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UniTAB: Unifying Text and Box Outputs for Grounded Vision-Language Modeling- Zhengyuan Yang, Zhe Gan, Jianfeng Wang, Xiaowei Hu, Faisal Ahmed, Zicheng Liu, Yumao Lu, Lijuan Wang
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[DOI]
Scaling Open-Vocabulary Image Segmentation with Image-Level Labels- Golnaz Ghiasi, Xiuye Gu, Yin Cui, Tsung-Yi Lin
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[DOI]
The Abduction of Sherlock Holmes: A Dataset for Visual Abductive Reasoning- Jack Hessel, Jena D. Hwang, Jae Sung Park, Rowan Zellers, Chandra Bhagavatula, Anna Rohrbach, Kate Saenko, Yejin Choi
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[DOI]
Speaker-Adaptive Lip Reading with User-Dependent Padding- Minsu Kim, Hyunjun Kim, Yong Man Ro
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[DOI]
TISE: Bag of Metrics for Text-to-Image Synthesis Evaluation- Tan M. Dinh, Rang Nguyen, Binh-Son Hua
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[DOI]
SemAug: Semantically Meaningful Image Augmentations for Object Detection through Language Grounding- Morgan Heisler, Amin Banitalebi-Dehkordi, Yong Zhang
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[DOI]
Referring Object Manipulation of Natural Images with Conditional Classifier-Free Guidance- Myungsub Choi
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[DOI]
NewsStories: Illustrating Articles with Visual Summaries- Reuben Tan, Bryan A. Plummer, Kate Saenko, JP Lewis, Avneesh Sud, Thomas Leung
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[DOI]
Webly Supervised Concept Expansion for General Purpose Vision Models- Amita Kamath, Christopher Clark, Tanmay Gupta, Eric Kolve, Derek Hoiem, Aniruddha Kembhavi
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[DOI]
FedVLN: Privacy-Preserving Federated Vision-and-Language Navigation- Kaiwen Zhou, Xin Eric Wang
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[DOI]
CODER: Coupled Diversity-Sensitive Momentum Contrastive Learning for Image-Text Retrieval- Haoran Wang, Dongliang He, Wenhao Wu, Boyang Xia, Min Yang, Fu Li, Yunlong Yu, Zhong Ji, Errui Ding, Jingdong Wang
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[DOI]
Language-Driven Artistic Style Transfer- Tsu-Jui Fu, Xin Eric Wang, William Yang Wang
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[DOI]
Single-Stream Multi-level Alignment for Vision-Language Pretraining- Zaid Khan, Vijay Kumar B G, Xiang Yu, Samuel Schulter, Manmohan Chandraker, Yun Fu
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[DOI]
Most and Least Retrievable Images in Visual-Language Query Systems- Liuwan Zhu, Rui Ning, Jiang Li, Chunsheng Xin, Hongyi Wu
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[DOI]
Sports Video Analysis on Large-Scale Data- Dekun Wu, He Zhao, Xingce Bao, Richard P. Wildes
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[DOI]
Grounding Visual Representations with Texts for Domain Generalization- Seonwoo Min, Nokyung Park, Siwon Kim, Seunghyun Park, Jinkyu Kim
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[DOI]
Bridging the Visual Semantic Gap in VLN via Semantically Richer Instructions- Joaquín Ossandón, Benjamín Earle, Alvaro Soto
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[DOI]
StoryDALL-E: Adapting Pretrained Text-to-Image Transformers for Story Continuation- Adyasha Maharana, Darryl Hannan, Mohit Bansal
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VQGAN-CLIP: Open Domain Image Generation and Editing with Natural Language Guidance- Katherine Crowson, Stella Biderman, Daniel Kornis, Dashiell Stander, Eric Hallahan, Louis Castricato, Edward Raff
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[DOI]
Semantic-Aware Implicit Neural Audio-Driven Video Portrait Generation- Xian Liu, Yinghao Xu, Qianyi Wu, Hang Zhou, Wayne Wu, Bolei Zhou
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[DOI]
End-to-End Active Speaker Detection- Juan León Alcázar, Moritz Cordes, Chen Zhao, Bernard Ghanem
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[DOI]
Emotion Recognition for Multiple Context Awareness- Dingkang Yang, Shuai Huang, Shunli Wang, Yang Liu, Peng Zhai, Liuzhen Su, Mingcheng Li, Lihua Zhang
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[DOI]
Adaptive Fine-Grained Sketch-Based Image Retrieval- Ayan Kumar Bhunia, Aneeshan Sain, Parth Hiren Shah, Animesh Gupta, Pinaki Nath Chowdhury, Tao Xiang, Yi-Zhe Song
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[DOI]
Quantized GAN for Complex Music Generation from Dance Videos- Ye Zhu, Kyle Olszewski, Yu Wu, Panos Achlioptas, Menglei Chai, Yan Yan, Sergey Tulyakov
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[DOI]
Uncertainty-Aware Multi-modal Learning via Cross-Modal Random Network Prediction- Hu Wang, Jianpeng Zhang, Yuanhong Chen, Congbo Ma, Jodie Avery, Louise Hull, Gustavo Carneiro
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[DOI]
Localizing Visual Sounds the Easy Way- Shentong Mo, Pedro Morgado
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[DOI]
Learning Visual Styles from Audio-Visual Associations- Tingle Li, Yichen Liu, Andrew Owens, Hang Zhao
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[DOI]
Remote Respiration Monitoring of Moving Person Using Radio Signals- Jae-Ho Choi, Ki-Bong Kang, Kyung-Tae Kim
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[DOI]
Camera Pose Estimation and Localization with Active Audio Sensing- Karren Yang, Michael Firman, Eric Brachmann, Clément Godard
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[DOI]
PACS: A Dataset for Physical Audiovisual Commonsense Reasoning- Samuel Yu, Peter Wu, Paul Pu Liang, Ruslan Salakhutdinov, Louis-Philippe Morency
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[DOI]
VoViT: Low Latency Graph-Based Audio-Visual Voice Separation Transformer- Juan F. Montesinos, Venkatesh S. Kadandale, Gloria Haro
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[DOI]
Telepresence Video Quality Assessment- Zhenqiang Ying, Deepti Ghadiyaram, Alan Bovik
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[DOI]
MultiMAE: Multi-modal Multi-task Masked Autoencoders- Roman Bachmann, David Mizrahi, Andrei Atanov, Amir Zamir
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[DOI]
AudioScopeV2: Audio-Visual Attention Architectures for Calibrated Open-Domain On-Screen Sound Separation- Efthymios Tzinis, Scott Wisdom, Tal Remez, John R. Hershey
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[DOI]
Audio—Visual Segmentation- Jinxing Zhou, Jianyuan Wang, Jiayi Zhang, Weixuan Sun, Jing Zhang, Stan Birchfield, Dan Guo, Lingpeng Kong, Meng Wang, Yiran Zhong
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[DOI]
Unsupervised Night Image Enhancement: When Layer Decomposition Meets Light-Effects Suppression- Yeying Jin, Wenhan Yang, Robby T. Tan
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[DOI]
Relationformer: A Unified Framework for Image-to-Graph Generation- Suprosanna Shit, Rajat Koner, Bastian Wittmann, Johannes Paetzold, Ivan Ezhov, Hongwei Li, Jiazhen Pan, Sahand Sharifzadeh, Georgios Kaissis, Volker Tresp, Bjoern Menze
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[DOI]
GAMa: Cross-view Video Geo-localization- Shruti Vyas, Chen Chen, Mubarak Shah
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[DOI]
Revisiting a kNN-based Image Classification System with High-capacity Storage- Kengo Nakata, Youyang Ng, Daisuke Miyashita, Asuka Maki, Yu-Chieh Lin, Jun Deguchi
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[DOI]
Geometric Representation Learning for Document Image Rectification- Hao Feng, Wengang Zhou, Jiajun Deng, Yuechen Wang, Houqiang Li
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[DOI]
S2-VER: Semi-Supervised Visual Emotion Recognition- Guoli Jia, Jufeng Yang
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[DOI]
Image Coding for Machines with Omnipotent Feature Learning- Ruoyu Feng, Xin Jin, Zongyu Guo, Runsen Feng, Yixin Gao, Tianyu He, Zhizheng Zhang, Simeng Sun, Zhibo Chen
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[DOI]
Feature Representation Learning for Unsupervised Cross-Domain Image Retrieval- Conghui Hu, Gim Hee Lee
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[DOI]
"Fashionformer: A Simple, Effective and Unified Baseline for Human Fashion Segmentation and Recognition"- Shilin Xu, Xiangtai Li, Jingbo Wang, Guangliang Cheng, Yunhai Tong, Dacheng Tao
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[DOI]
Semantic-Guided Multi-Mask Image Harmonization- Xuqian Ren, Yifan Liu
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[DOI]
Learning an Isometric Surface Parameterization for Texture Unwrapping- Sagnik Das, Ke Ma, Zhixin Shu, Dimitris Samaras
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[DOI]
Towards Regression-Free Neural Networks for Diverse Compute Platforms- Rahul Duggal, Hao Zhou, Shuo Yang, Jun Fang, Yuanjun Xiong, Wei Xia
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[DOI]
Relationship Spatialization for Depth Estimation- Xiaoyu Xu, Jiayan Qiu, Xinchao Wang, Zhou Wang
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[DOI]
Image2Point: 3D Point-Cloud Understanding with 2D Image Pretrained Models- Chenfeng Xu, Shijia Yang, Tomer Galanti, Bichen Wu, Xiangyu Yue, Bohan Zhai, Wei Zhan, Peter Vajda, Kurt Keutzer, Masayoshi Tomizuka
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[DOI]
FAR: Fourier Aerial Video Recognition- Divya Kothandaraman, Tianrui Guan, Xijun Wang, Shuowen Hu, Ming Lin, Dinesh Manocha
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[DOI]
Translating a Visual LEGO Manual to a Machine-Executable Plan- Ruocheng Wang, Yunzhi Zhang, Jiayuan Mao, Chin-Yi Cheng, Jiajun Wu
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[DOI]
Fabric Material Recovery from Video Using Multi-Scale Geometric Auto-Encoder- Junbang Liang, Ming Lin
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[DOI]
MegBA: A GPU-Based Distributed Library for Large-Scale Bundle Adjustment- Jie Ren, Wenteng Liang, Ran Yan, Luo Mai, Shiwen Liu, Xiao Liu
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[DOI]
The One Where They Reconstructed 3D Humans and Environments in TV Shows- Georgios Pavlakos, Ethan Weber, Matthew Tancik, Angjoo Kanazawa
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[DOI]
TALISMAN: Targeted Active Learning for Object Detection with Rare Classes and Slices Using Submodular Mutual Information- Suraj Kothawade, Saikat Ghosh, Sumit Shekhar, Yu Xiang, Rishabh Iyer
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[DOI]
An Efficient Person Clustering Algorithm for Open Checkout-Free Groceries- Junde Wu, Yu Zhang, Rao Fu, Yuanpei Liu, Jing Gao
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[DOI]
POP: Mining POtential Performance of New Fashion Products via Webly Cross-Modal Query Expansion- Christian Joppi, Geri Skenderi, Marco Cristani
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[DOI]
Pose Forecasting in Industrial Human-Robot Collaboration- Alessio Sampieri, Guido Maria D’Amely di Melendugno, Andrea Avogaro, Federico Cunico, Francesco Setti, Geri Skenderi, Marco Cristani, Fabio Galasso
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[DOI]
Actor-Centered Representations for Action Localization in Streaming Videos- Sathyanarayanan Aakur, Sudeep Sarkar
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[DOI]
Bandwidth-Aware Adaptive Codec for DNN Inference Offloading in IoT- Xiufeng Xie, Ning Zhou, Wentao Zhu, Ji Liu
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[DOI]
Domain Knowledge-Informed Self-Supervised Representations for Workout Form Assessment- Paritosh Parmar, Amol Gharat, Helge Rhodin
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[DOI]
Responsive Listening Head Generation: A Benchmark Dataset and Baseline- Mohan Zhou, Yalong Bai, Wei Zhang, Ting Yao, Tiejun Zhao, Tao Mei
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[DOI]
"Towards Scale-Aware, Robust, and Generalizable Unsupervised Monocular Depth Estimation by Integrating IMU Motion Dynamics"- Sen Zhang, Jing Zhang, Dacheng Tao
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[DOI]
TIPS: Text-Induced Pose Synthesis- Prasun Roy, Subhankar Ghosh, Saumik Bhattacharya, Umapada Pal, Michael Blumenstein
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[DOI]
Addressing Heterogeneity in Federated Learning via Distributional Transformation- Haolin Yuan, Bo Hui, Yuchen Yang, Philippe Burlina, Neil Zhenqiang Gong, Yinzhi Cao
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[DOI]
Where in the World Is This Image? Transformer-Based Geo-Localization in the Wild- Shraman Pramanick, Ewa M. Nowara, Joshua Gleason, Carlos D. Castillo, Rama Chellappa
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[DOI]
Colorization for In Situ Marine Plankton Images- Guannan Guo, Qi Lin, Tao Chen, Zhenghui Feng, Zheng Wang, Jianping Li
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[DOI]
Efficient Deep Visual and Inertial Odometry with Adaptive Visual Modality Selection- Mingyu Yang, Yu Chen, Hun-Seok Kim
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[DOI]
A Sketch Is Worth a Thousand Words: Image Retrieval with Text and Sketch- Patsorn Sangkloy, Wittawat Jitkrittum, Diyi Yang, James Hays
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[DOI]
A Cloud 3D Dataset and Application-Specific Learned Image Compression in Cloud 3D- Tianyi Liu, Sen He, Vinodh Kumaran Jayakumar, Wei Wang
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[DOI]
AutoTransition: Learning to Recommend Video Transition Effects- Yaojie Shen, Libo Zhang, Kai Xu, Xiaojie Jin
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[DOI]
Online Segmentation of LiDAR Sequences: Dataset and Algorithm- Romain Loiseau, Mathieu Aubry, Loïc Landrieu
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[DOI]
Open-World Semantic Segmentation for LIDAR Point Clouds- Jun Cen, Peng Yun, Shiwei Zhang, Junhao Cai, Di Luan, Mingqian Tang, Ming Liu, Michael Yu Wang
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[DOI]
KING: Generating Safety-Critical Driving Scenarios for Robust Imitation via Kinematics Gradients- Niklas Hanselmann, Katrin Renz, Kashyap Chitta, Apratim Bhattacharyya, Andreas Geiger
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[DOI]
Differentiable Raycasting for Self-Supervised Occupancy Forecasting- Tarasha Khurana, Peiyun Hu, Achal Dave, Jason Ziglar, David Held, Deva Ramanan
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[DOI]
InAction: Interpretable Action Decision Making for Autonomous Driving- Taotao Jing, Haifeng Xia, Renran Tian, Haoran Ding, Xiao Luo, Joshua Domeyer, Rini Sherony, Zhengming Ding
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[DOI]
CramNet: Camera-Radar Fusion with Ray-Constrained Cross-Attention for Robust 3D Object Detection- Jyh-Jing Hwang, Henrik Kretzschmar, Joshua Manela, Sean Rafferty, Nicholas Armstrong-Crews, Tiffany Chen, Dragomir Anguelov
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[DOI]
CODA: A Real-World Road Corner Case Dataset for Object Detection in Autonomous Driving- Kaican Li, Kai Chen, Haoyu Wang, Lanqing Hong, Chaoqiang Ye, Jianhua Han, Yukuai Chen, Wei Zhang, Chunjing Xu, Dit-Yan Yeung, Xiaodan Liang, Zhenguo Li, Hang Xu
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[DOI]
Motion Inspired Unsupervised Perception and Prediction in Autonomous Driving- Mahyar Najibi, Jingwei Ji, Yin Zhou, Charles R. Qi, Xinchen Yan, Scott Ettinger, Dragomir Anguelov
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[DOI]
StretchBEV: Stretching Future Instance Prediction Spatially and Temporally- Adil Kaan Akan, Fatma Güney
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[DOI]
RCLane: Relay Chain Prediction for Lane Detection- Shenghua Xu, Xinyue Cai, Bin Zhao, Li Zhang, Hang Xu, Yanwei Fu, Xiangyang Xue
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[DOI]
Drive&Segment: Unsupervised Semantic Segmentation of Urban Scenes via Cross-Modal Distillation- Antonin Vobecky, David Hurych, Oriane Siméoni, Spyros Gidaris, Andrei Bursuc, Patrick Pérez, Josef Sivic
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[DOI]
CenterFormer: Center-based Transformer for 3D Object Detection- Zixiang Zhou, Xiangchen Zhao, Yu Wang, Panqu Wang, Hassan Foroosh
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[DOI]
Physical Attack on Monocular Depth Estimation with Optimal Adversarial Patches- Zhiyuan Cheng, James Liang, Hongjun Choi, Guanhong Tao, Zhiwen Cao, Dongfang Liu, Xiangyu Zhang
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[DOI]
ST-P3: End-to-End Vision-Based Autonomous Driving via Spatial-Temporal Feature Learning- Shengchao Hu, Li Chen, Penghao Wu, Hongyang Li, Junchi Yan, Dacheng Tao
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[DOI]
PersFormer: 3D Lane Detection via Perspective Transformer and the OpenLane Benchmark- Li Chen, Chonghao Sima, Yang Li, Zehan Zheng, Jiajie Xu, Xiangwei Geng, Hongyang Li, Conghui He, Jianping Shi, Yu Qiao, Junchi Yan
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[DOI]
PointFix: Learning to Fix Domain Bias for Robust Online Stereo Adaptation- Kwonyoung Kim, Jungin Park, Jiyoung Lee, Dongbo Min, Kwanghoon Sohn
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[DOI]
BRNet: Exploring Comprehensive Features for Monocular Depth Estimation- Wencheng Han, Junbo Yin, Xiaogang Jin, Xiangdong Dai, Jianbing Shen
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[DOI]
SiamDoGe: Domain Generalizable Semantic Segmentation Using Siamese Network- Zhenyao Wu, Xinyi Wu, Xiaoping Zhang, Lili Ju, Song Wang
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[DOI]
Context-Aware Streaming Perception in Dynamic Environments- Gur-Eyal Sela, Ionel Gog, Justin Wong, Kumar Krishna Agrawal, Xiangxi Mo, Sukrit Kalra, Peter Schafhalter, Eric Leong, Xin Wang, Bharathan Balaji, Joseph Gonzalez, Ion Stoica
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[DOI]
SpOT: Spatiotemporal Modeling for 3D Object Tracking- Colton Stearns, Davis Rempe, Jie Li, Rareș Ambruș, Sergey Zakharov, Vitor Guizilini, Yanchao Yang, Leonidas J. Guibas
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[DOI]
Multimodal Transformer for Automatic 3D Annotation and Object Detection- Chang Liu, Xiaoyan Qian, Binxiao Huang, Xiaojuan Qi, Edmund Lam, Siew-Chong Tan, Ngai Wong
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[DOI]
Dynamic 3D Scene Analysis by Point Cloud Accumulation- Shengyu Huang, Zan Gojcic, Jiahui Huang, Andreas Wieser, Konrad Schindler
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[DOI]
Homogeneous Multi-modal Feature Fusion and Interaction for 3D Object Detection- Xin Li, Botian Shi, Yuenan Hou, Xingjiao Wu, Tianlong Ma, Yikang Li, Liang He
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[DOI]
"JPerceiver: Joint Perception Network for Depth, Pose and Layout Estimation in Driving Scenes"- Haimei Zhao, Jing Zhang, Sen Zhang, Dacheng Tao
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[DOI]
Semi-Supervised 3D Object Detection with Proficient Teachers- Junbo Yin, Jin Fang, Dingfu Zhou, Liangjun Zhang, Cheng-Zhong Xu, Jianbing Shen, Wenguan Wang
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[DOI]
Point Cloud Compression with Sibling Context and Surface Priors- Zhili Chen, Zian Qian, Sukai Wang, Qifeng Chen
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[DOI]
Lane Detection Transformer Based on Multi-Frame Horizontal and Vertical Attention and Visual Transformer Module- Han Zhang, Yunchao Gu, Xinliang Wang, Junjun Pan, Minghui Wang
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[DOI]
ProposalContrast: Unsupervised Pre-training for LiDAR-Based 3D Object Detection- Junbo Yin, Dingfu Zhou, Liangjun Zhang, Jin Fang, Cheng-Zhong Xu, Jianbing Shen, Wenguan Wang
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[DOI]
PreTraM: Self-Supervised Pre-training via Connecting Trajectory and Map- Chenfeng Xu, Tian Li, Chen Tang, Lingfeng Sun, Kurt Keutzer, Masayoshi Tomizuka, Alireza Fathi, Wei Zhan
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[DOI]
Master of All: Simultaneous Generalization of Urban-Scene Segmentation to All Adverse Weather Conditions- Nikhil Reddy, Abhinav Singhal, Abhishek Kumar, Mahsa Baktashmotlagh, Chetan Arora
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[DOI]
LESS: Label-Efficient Semantic Segmentation for LiDAR Point Clouds- Minghua Liu, Yin Zhou, Charles R. Qi, Boqing Gong, Hao Su, Dragomir Anguelov
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[DOI]
Visual Cross-View Metric Localization with Dense Uncertainty Estimates- Zimin Xia, Olaf Booij, Marco Manfredi, Julian F. P. Kooij
- [pdf]
[DOI]
V2X-ViT: Vehicle-to-Everything Cooperative Perception with Vision Transformer- Runsheng Xu, Hao Xiang, Zhengzhong Tu, Xin Xia, Ming-Hsuan Yang, Jiaqi Ma
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[DOI]
DevNet: Self-Supervised Monocular Depth Learning via Density Volume Construction- Kaichen Zhou, Lanqing Hong, Changhao Chen, Hang Xu, Chaoqiang Ye, Qingyong Hu, Zhenguo Li
- [pdf]
[DOI]
Action-Based Contrastive Learning for Trajectory Prediction- Marah Halawa, Olaf Hellwich, Pia Bideau
- [pdf]
[DOI]
Radatron: Accurate Detection Using Multi-Resolution Cascaded MIMO Radar- Sohrab Madani, Jayden Guan, Waleed Ahmed, Saurabh Gupta, Haitham Hassanieh
- [pdf]
[DOI]
LiDAR Distillation: Bridging the Beam-Induced Domain Gap for 3D Object Detection- Yi Wei, Zibu Wei, Yongming Rao, Jiaxin Li, Jie Zhou, Jiwen Lu
- [pdf]
[DOI]
Efficient Point Cloud Segmentation with Geometry-Aware Sparse Networks- Maosheng Ye, Rui Wan, Shuangjie Xu, Tongyi Cao, Qifeng Chen
- [pdf]
[DOI]
FH-Net: A Fast Hierarchical Network for Scene Flow Estimation on Real-World Point Clouds- Lihe Ding, Shaocong Dong, Tingfa Xu, Xinli Xu, Jie Wang, Jianan Li
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[DOI]
SpatialDETR: Robust Scalable Transformer-Based 3D Object Detection from Multi-View Camera Images with Global Cross-Sensor Attention- Simon Doll, Richard Schulz, Lukas Schneider, Viviane Benzin, Markus Enzweiler, Hendrik P.A. Lensch
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[DOI]
Pixel-Wise Energy-Biased Abstention Learning for Anomaly Segmentation on Complex Urban Driving Scenes- Yu Tian, Yuyuan Liu, Guansong Pang, Fengbei Liu, Yuanhong Chen, Gustavo Carneiro
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[DOI]
Rethinking Closed-Loop Training for Autonomous Driving- Chris Zhang, Runsheng Guo, Wenyuan Zeng, Yuwen Xiong, Binbin Dai, Rui Hu, Mengye Ren, Raquel Urtasun
- [pdf]
[DOI]
SLiDE: Self-Supervised LiDAR De-Snowing through Reconstruction Difficulty- Gwangtak Bae, Byungjun Kim, Seongyong Ahn, Jihong Min, Inwook Shim
- [pdf]
[DOI]
Generative Meta-Adversarial Network for Unseen Object Navigation- Sixian Zhang, Weijie Li, Xinhang Song, Yubing Bai, Shuqiang Jiang
- [pdf]
[DOI]
Object Manipulation via Visual Target Localization- Kiana Ehsani, Ali Farhadi, Aniruddha Kembhavi, Roozbeh Mottaghi
- [pdf]
[DOI]
MoDA: Map Style Transfer for Self-Supervised Domain Adaptation of Embodied Agents- Eun Sun Lee, Junho Kim, SangWon Park, Young Min Kim
- [pdf]
[DOI]
Housekeep: Tidying Virtual Households Using Commonsense Reasoning- Yash Kant, Arun Ramachandran, Sriram Yenamandra, Igor Gilitschenski, Dhruv Batra, Andrew Szot, Harsh Agrawal
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[DOI]
Domain Randomization-Enhanced Depth Simulation and Restoration for Perceiving and Grasping Specular and Transparent Objects- Qiyu Dai, Jiyao Zhang, Qiwei Li, Tianhao Wu, Hao Dong, Ziyuan Liu, Ping Tan, He Wang
- [pdf]
[DOI]
Resolving Copycat Problems in Visual Imitation Learning via Residual Action Prediction- Chia-Chi Chuang, Donglin Yang, Chuan Wen, Yang Gao
- [pdf]
[DOI]
OPD: Single-View 3D Openable Part Detection- Hanxiao Jiang, Yongsen Mao, Manolis Savva, Angel X. Chang
- [pdf]
[DOI]
AirDet: Few-Shot Detection without Fine-Tuning for Autonomous Exploration- Bowen Li, Chen Wang, Pranay Reddy, Seungchan Kim, Sebastian Scherer
- [pdf]
[DOI]
TransGrasp: Grasp Pose Estimation of a Category of Objects by Transferring Grasps from Only One Labeled Instance- Hongtao Wen, Jianhang Yan, Wanli Peng, Yi Sun
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[DOI]
StARformer: Transformer with State-Action-Reward Representations for Visual Reinforcement Learning- Jinghuan Shang, Kumara Kahatapitiya, Xiang Li, Michael S. Ryoo
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[DOI]
TIDEE: Tidying Up Novel Rooms Using Visuo-Semantic Commonsense Priors- Gabriel Sarch, Zhaoyuan Fang, Adam W. Harley, Paul Schydlo, Michael J. Tarr, Saurabh Gupta, Katerina Fragkiadaki
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[DOI]
Learning Efficient Multi-agent Cooperative Visual Exploration- Chao Yu, Xinyi Yang, Jiaxuan Gao, Huazhong Yang, Yu Wang, Yi Wu
- [pdf]
[DOI]
Zero-Shot Category-Level Object Pose Estimation- Walter Goodwin, Sagar Vaze, Ioannis Havoutis, Ingmar Posner
- [pdf]
[DOI]
Sim-to-Real 6D Object Pose Estimation via Iterative Self-Training for Robotic Bin Picking- Kai Chen, Rui Cao, Stephen James, Yichuan Li, Yun-Hui Liu, Pieter Abbeel, Qi Dou
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[DOI]
Active Audio-Visual Separation of Dynamic Sound Sources- Sagnik Majumder, Kristen Grauman
- [pdf]
[DOI]
DexMV: Imitation Learning for Dexterous Manipulation from Human Videos- Yuzhe Qin, Yueh-Hua Wu, Shaowei Liu, Hanwen Jiang, Ruihan Yang, Yang Fu, Xiaolong Wang
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[DOI]
Sim-2-Sim Transfer for Vision-and-Language Navigation in Continuous Environments- Jacob Krantz, Stefan Lee
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[DOI]
Style-Agnostic Reinforcement Learning- Juyong Lee, Seokjun Ahn, Jaesik Park
- [pdf]
[DOI]
Self-Supervised Interactive Object Segmentation through a Singulation-and-Grasping Approach- Houjian Yu, Changhyun Choi
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[DOI]
Learning from Unlabeled 3D Environments for Vision-and-Language Navigation- Shizhe Chen, Pierre-Louis Guhur, Makarand Tapaswi, Cordelia Schmid, Ivan Laptev
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[DOI]
"BodySLAM: Joint Camera Localisation, Mapping, and Human Motion Tracking"- Dorian F. Henning, Tristan Laidlow, Stefan Leutenegger
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[DOI]
FusionVAE: A Deep Hierarchical Variational Autoencoder for RGB Image Fusion- Fabian Duffhauss, Ngo Anh Vien, Hanna Ziesche, Gerhard Neumann
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[DOI]
Learning Algebraic Representation for Systematic Generalization in Abstract Reasoning- Chi Zhang, Sirui Xie, Baoxiong Jia, Ying Nian Wu, Song-Chun Zhu, Yixin Zhu
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[DOI]
Video Dialog As Conversation about Objects Living in Space-Time- Hoang-Anh Pham, Thao Minh Le, Vuong Le, Tu Minh Phuong, Truyen Tran
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[DOI]
ECCV Conference Papers
Quaternion Equivariant Capsule Networks for 3D Point Clouds- Yongheng Zhao, Tolga Birdal, Jan Eric Lenssen, Emanuele Menegatti, Leonidas Guibas, Federico Tombari
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[DOI]
DeepFit: 3D Surface Fitting via Neural Network Weighted Least Squares- Yizhak Ben-Shabat, Stephen Gould
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[DOI]
NSGANetV2: Evolutionary Multi-Objective Surrogate-Assisted Neural Architecture Search- Zhichao Lu, Kalyanmoy Deb, Erik Goodman, Wolfgang Banzhaf, Vishnu Naresh Boddeti
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[DOI]
Describing Textures using Natural Language- Chenyun Wu, Mikayla Timm, Subhransu Maji
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[DOI]
Empowering Relational Network by Self-Attention Augmented Conditional Random Fields for Group Activity Recognition- Rizard Renanda Adhi Pramono, Yie Tarng Chen, Wen Hsien Fang
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[DOI]
AiR: Attention with Reasoning Capability- Shi Chen, Ming Jiang, Jinhui Yang, Qi Zhao
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[DOI]
Self6D: Self-Supervised Monocular 6D Object Pose Estimation- Gu Wang, Fabian Manhardt, Jianzhun Shao, Xiangyang Ji, Nassir Navab , Federico Tombari
- [pdf]
[DOI]
Invertible Image Rescaling- Mingqing Xiao, Shuxin Zheng, Chang Liu, Yaolong Wang, Di He, Guolin Ke, Jiang Bian, Zhouchen Lin, Tie-Yan Liu
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[DOI]
Synthesize then Compare: Detecting Failures and Anomalies for Semantic Segmentation- Yingda Xia, Yi Zhang, Fengze Liu, Wei Shen, Alan L. Yuille
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[DOI]
House-GAN: Relational Generative Adversarial Networks for Graph-constrained House Layout Generation- Nelson Nauata, Kai-Hung Chang, Chin-Yi Cheng, Greg Mori, Yasutaka Furukawa
- [pdf]
[DOI]
Crowdsampling the Plenoptic Function- Zhengqi Li, Wenqi Xian, Abe Davis, Noah Snavely
- [pdf]
[DOI]
VoxelPose: Towards Multi-Camera 3D Human Pose Estimation in Wild Environment- Hanyue Tu, Chunyu Wang, Wenjun Zeng
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[DOI]
End-to-End Object Detection with Transformers- Nicolas Carion, Francisco Massa, Gabriel Synnaeve, Nicolas Usunier, Alexander Kirillov, Sergey Zagoruyko
- [pdf]
[DOI]
DeepSFM: Structure From Motion Via Deep Bundle Adjustment- Xingkui Wei, Yinda Zhang, Zhuwen Li, Yanwei Fu, Xiangyang Xue
- [pdf]
[DOI]
Ladybird: Quasi-Monte Carlo Sampling for Deep Implicit Field Based 3D Reconstruction with Symmetry- Yifan Xu, Tianqi Fan, Yi Yuan, Gurprit Singh
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[DOI]
Segment as Points for Efficient Online Multi-Object Tracking and Segmentation- Zhenbo Xu, Wei Zhang, Xiao Tan, Wei Yang, Huan Huang, Shilei Wen, Errui Ding, Liusheng Huang
- [pdf]
[DOI]
Conditional Convolutions for Instance Segmentation- Zhi Tian, Chunhua Shen, Hao Chen
- [pdf]
[DOI]
MutualNet: Adaptive ConvNet via Mutual Learning from Network Width and Resolution- Taojiannan Yang, Sijie Zhu, Chen Chen, Shen Yan, Mi Zhang, Andrew Willis
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[DOI]
Fashionpedia: Ontology, Segmentation, and an Attribute Localization Dataset- Menglin Jia, Mengyun Shi, Mikhail Sirotenko, Yin Cui, Claire Cardie , Bharath Hariharan, Hartwig Adam, Serge Belongie
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[DOI]
Privacy Preserving Structure-from-Motion- Marcel Geppert, Viktor Larsson, Pablo Speciale, Johannes L. Schönberger, Marc Pollefeys
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[DOI]
Rewriting a Deep Generative Model- David Bau, Steven Liu, Tongzhou Wang, Jun-Yan Zhu, Antonio Torralba
- [pdf]
[DOI]
Compare and Reweight: Distinctive Image Captioning Using Similar Images Sets- Jiuniu Wang, Wenjia Xu, Qingzhong Wang, Antoni B. Chan
- [pdf]
[DOI]
Long-term Human Motion Prediction with Scene Context- Zhe Cao, Hang Gao, Karttikeya Mangalam, Qi-Zhi Cai, Minh Vo, Jitendra Malik
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[DOI]
NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis- Ben Mildenhall, Pratul P. Srinivasan, Matthew Tancik, Jonathan T. Barron, Ravi Ramamoorthi, Ren Ng
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[DOI]
ReferIt3D: Neural Listeners for Fine-Grained 3D Object Identification in Real-World Scenes- Panos Achlioptas, Ahmed Abdelreheem, Fei Xia, Mohamed Elhoseiny, Leonidas Guibas
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[DOI]
MatryODShka: Real-time 6DoF Video View Synthesis using Multi-Sphere Images- Benjamin Attal, Selena Ling, Aaron Gokaslan, Christian Richardt, James Tompkin
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[DOI]
Learning and Aggregating Deep Local Descriptors for Instance-level Recognition- Giorgos Tolias, Tomas Jenicek, Ondřej Chum
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[DOI]
A Consistently Fast and Globally Optimal Solution to the Perspective-n-Point Problem- George Terzakis, Manolis Lourakis
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[DOI]
Learn to Recover Visible Color for Video Surveillance in a Day- Guangming Wu, Yinqiang Zheng, Zhiling Guo, Zekun Cai, Xiaodan Shi, Xin Ding, Yifei Huang, Yimin Guo, Ryosuke Shibasaki
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[DOI]
Deep Fashion3D: A Dataset and Benchmark for 3D Garment Reconstruction from Single Images- Heming Zhu, Yu Cao, Hang Jin, Weikai Chen, Dong Du, Zhangye Wang, Shuguang Cui, Xiaoguang Han
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[DOI]
Spatially Adaptive Inference with Stochastic Feature Sampling and Interpolation- Zhenda Xie, Zheng Zhang, Xizhou Zhu, Gao Huang, Stephen Lin
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[DOI]
BorderDet: Border Feature for Dense Object Detection- Han Qiu, Yuchen Ma, Zeming Li, Songtao Liu, Jian Sun
- [pdf]
[DOI]
Regularization with Latent Space Virtual Adversarial Training- Genki Osada, Budrul Ahsan, Revoti Prasad Bora, Takashi Nishide
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[DOI]
Du²Net: Learning Depth Estimation from Dual-Cameras and Dual-Pixels- Yinda Zhang, Neal Wadhwa, Sergio Orts-Escolano, Christian Häne, Sean Fanello, Rahul Garg
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[DOI]
Model-Agnostic Boundary-Adversarial Sampling for Test-Time Generalization in Few-Shot learning- Jaekyeom Kim, Hyoungseok Kim, Gunhee Kim
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[DOI]
Targeted Attack for Deep Hashing based Retrieval- Jiawang Bai, Bin Chen, Yiming Li, Dongxian Wu, Weiwei Guo, Shu-Tao Xia, En-Hui Yang
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[DOI]
Gradient Centralization: A New Optimization Technique for Deep Neural Networks- Hongwei Yong, Jianqiang Huang, Xiansheng Hua, Lei Zhang
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[DOI]
Content-Aware Unsupervised Deep Homography Estimation- Jirong Zhang, Chuan Wang, Shuaicheng Liu, Lanpeng Jia, Nianjin Ye, Jue Wang, Ji Zhou, Jian Sun
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[DOI]
Multi-View Optimization of Local Feature Geometry- Mihai Dusmanu, Johannes L. Schönberger, Marc Pollefeys
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[DOI]
The Phong Surface: Efficient 3D Model Fitting using Lifted Optimization- Jingjing Shen, Thomas J. Cashman, Qi Ye, Tim Hutton, Toby Sharp, Federica Bogo, Andrew Fitzgibbon, Jamie Shotton
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[DOI]
Forecasting Human-Object Interaction: Joint Prediction of Motor Attention and Actions in First Person Video- Miao Liu, Siyu Tang, Yin Li, James M. Rehg
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[DOI]
Learning Stereo from Single Images- Jamie Watson, Oisin Mac Aodha, Daniyar Turmukhambetov, Gabriel J. Brostow, Michael Firman
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[DOI]
Prototype Rectification for Few-Shot Learning- Jinlu Liu, Liang Song, Yongqiang Qin
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[DOI]
Learning Feature Descriptors using Camera Pose Supervision- Qianqian Wang, Xiaowei Zhou, Bharath Hariharan, Noah Snavely
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[DOI]
Semantic Flow for Fast and Accurate Scene Parsing- Xiangtai Li, Ansheng You, Zhen Zhu, Houlong Zhao, Maoke Yang, Kuiyuan Yang, Shaohua Tan, Yunhai Tong
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[DOI]
Appearance Consensus Driven Self-Supervised Human Mesh Recovery- Jogendra Nath Kundu, Mugalodi Rakesh, Varun Jampani, Rahul Mysore Venkatesh, R. Venkatesh Babu
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[DOI]
Diffraction Line Imaging- Mark Sheinin, Dinesh N. Reddy, Matthew O’Toole, Srinivasa G. Narasimhan
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[DOI]
Aligning and Projecting Images to Class-conditional Generative Networks- Minyoung Huh, Richard Zhang, Jun-Yan Zhu, Sylvain Paris, Aaron Hertzmann
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[DOI]
Suppress and Balance: A Simple Gated Network for Salient Object Detection- Xiaoqi Zhao, Youwei Pang, Lihe Zhang, Huchuan Lu, Lei Zhang
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[DOI]
Visual Memorability for Robotic Interestingness via Unsupervised Online Learning- Chen Wang, Wenshan Wang, Yuheng Qiu, Yafei Hu, Sebastian Scherer
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[DOI]
Post-Training Piecewise Linear Quantization for Deep Neural Networks- Jun Fang, Ali Shafiee, Hamzah Abdel-Aziz, David Thorsley, Georgios Georgiadis, Joseph H. Hassoun
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[DOI]
Joint Disentangling and Adaptation for Cross-Domain Person Re-Identification- Yang Zou, Xiaodong Yang, Zhiding Yu, B.V.K. Vijaya Kumar, Jan Kautz
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[DOI]
In-Home Daily-Life Captioning Using Radio Signals- Lijie Fan, Tianhong Li, Yuan Yuan, Dina Katabi
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[DOI]
Self-Challenging Improves Cross-Domain Generalization- Zeyi Huang, Haohan Wang, Eric P. Xing, Dong Huang
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[DOI]
A Competence-aware Curriculum for Visual Concepts Learning via Question Answering- Qing Li, Siyuan Huang, Yining Hong, Song-Chun Zhu
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[DOI]
Multitask Learning Strengthens Adversarial Robustness- Chengzhi Mao, Amogh Gupta, Vikram Nitin, Baishakhi Ray, Shuran Song , Junfeng Yang, Carl Vondrick
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[DOI]
S2DNAS: Transforming Static CNN Model for Dynamic Inference via Neural Architecture Search- Zhihang Yuan, Bingzhe Wu, Guangyu Sun, Zheng Liang, Shiwan Zhao, Weichen Bi
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[DOI]
Improving Deep Video Compression by Resolution-adaptive Flow Coding- Zhihao Hu, Zhenghao Chen, Dong Xu, Guo Lu, Wanli Ouyang, Shuhang Gu
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[DOI]
Motion Capture from Internet Videos- Junting Dong, Qing Shuai, Yuanqing Zhang, Xian Liu, Xiaowei Zhou, Hujun Bao
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[DOI]
Appearance-Preserving 3D Convolution for Video-based Person Re-identification- Xinqian Gu, Hong Chang, Bingpeng Ma, Hongkai Zhang, Xilin Chen
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[DOI]
Solving the Blind Perspective-n-Point Problem End-To-End With Robust Differentiable Geometric Optimization- Dylan Campbell, Liu Liu, Stephen Gould
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[DOI]
Exploiting Deep Generative Prior for Versatile Image Restoration and Manipulation- Xingang Pan, Xiaohang Zhan, Bo Dai, Dahua Lin, Chen Change Loy, Ping Luo
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[DOI]
Deep Spatial-angular Regularization for Compressive Light Field Reconstruction over Coded Apertures- Mantang Guo, Junhui Hou, Jing Jin, Jie Chen, Lap-Pui Chau
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[DOI]
Video-based Remote Physiological Measurement via Cross-verified Feature Disentangling- Xuesong Niu, Zitong Yu, Hu Han, Xiaobai Li, Shiguang Shan, Guoying Zhao
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[DOI]
Combining Implicit Function Learning and Parametric Models for 3D Human Reconstruction- Bharat Lal Bhatnagar, Cristian Sminchisescu, Christian Theobalt, Gerard Pons-Moll
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[DOI]
Orientation-aware Vehicle Re-identification with Semantics-guided Part Attention Network- Tsai-Shien Chen, Chih-Ting Liu, Chih-Wei Wu, Shao-Yi Chien
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[DOI]
Mining Cross-Image Semantics for Weakly Supervised Semantic Segmentation- Guolei Sun, Wenguan Wang, Jifeng Dai, Luc Van Gool
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[DOI]
CoReNet: Coherent 3D Scene Reconstruction from a Single RGB Image- Stefan Popov, Pablo Bauszat, Vittorio Ferrari
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[DOI]
Layer-wise Conditioning Analysis in Exploring the Learning Dynamics of DNNs- Lei Huang, Jie Qin, Li Liu, Fan Zhu, Ling Shao
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[DOI]
RAFT: Recurrent All-Pairs Field Transforms for Optical Flow- Zachary Teed, Jia Deng
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[DOI]
Domain-invariant Stereo Matching Networks- Feihu Zhang, Xiaojuan Qi, Ruigang Yang, Victor Prisacariu, Benjamin Wah, Philip Torr
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[DOI]
DeepHandMesh: A Weakly-supervised Deep Encoder-Decoder Framework for High-fidelity Hand Mesh Modeling- Gyeongsik Moon, Takaaki Shiratori, Kyoung Mu Lee
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[DOI]
Content Adaptive and Error Propagation Aware Deep Video Compression- Guo Lu, Chunlei Cai, Xiaoyun Zhang, Li Chen, Wanli Ouyang, Dong Xu , Zhiyong Gao
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[DOI]
Towards Streaming Perception- Mengtian Li, Yu-Xiong Wang, Deva Ramanan
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[DOI]
Towards Automated Testing and Robustification by Semantic Adversarial Data Generation- Rakshith Shetty, Mario Fritz, Bernt Schiele
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[DOI]
Adversarial Generative Grammars for Human Activity Prediction- AJ Piergiovanni, Anelia Angelova, Alexander Toshev, Michael S. Ryoo
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[DOI]
GDumb: A Simple Approach that Questions Our Progress in Continual Learning- Ameya Prabhu, Philip H. S. Torr, Puneet K. Dokania
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[DOI]
Learning Lane Graph Representations for Motion Forecasting- Ming Liang, Bin Yang, Rui Hu, Yun Chen, Renjie Liao, Song Feng, Raquel Urtasun
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[DOI]
What Matters in Unsupervised Optical Flow- Rico Jonschkowski, Austin Stone, Jonathan T. Barron, Ariel Gordon, Kurt Konolige, Anelia Angelova
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[DOI]
Synthesis and Completion of Facades from Satellite Imagery- Xiaowei Zhang, Christopher May, Daniel Aliaga
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[DOI]
Mapillary Planet-Scale Depth Dataset- Manuel López Antequera, Pau Gargallo, Markus Hofinger, Samuel Rota Bulò, Yubin Kuang, Peter Kontschieder
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[DOI]
V2VNet: Vehicle-to-Vehicle Communication for Joint Perception and Prediction- Tsun-Hsuan Wang, Sivabalan Manivasagam, Ming Liang, Bin Yang, Wenyuan Zeng, Raquel Urtasun
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[DOI]
Training Interpretable Convolutional Neural Networks by Differentiating Class-specific Filters- Haoyu Liang, Zhihao Ouyang, Yuyuan Zeng, Hang Su, Zihao He, Shu-Tao Xia, Jun Zhu, Bo Zhang
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[DOI]
EagleEye: Fast Sub-net Evaluation for Efficient Neural Network Pruning- Bailin Li, Bowen Wu, Jiang Su, Guangrun Wang
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[DOI]
Intrinsic Point Cloud Interpolation via Dual Latent Space Navigation- Marie-Julie Rakotosaona, Maks Ovsjanikov
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[DOI]
Cross-Domain Cascaded Deep Translation- Oren Katzir, Dani Lischinski, Daniel Cohen-Or
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[DOI]
“Look Ma, no landmarks!” – Unsupervised, Model-based Dense Face Alignment- Tatsuro Koizumi, William A. P. Smith
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[DOI]
Online Invariance Selection for Local Feature Descriptors- Rémi Pautrat, Viktor Larsson, Martin R. Oswald, Marc Pollefeys
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[DOI]
Rethinking Image Inpainting via a Mutual Encoder-Decoder with Feature Equalizations- Hongyu Liu, Bin Jiang, Yibing Song, Wei Huang, Chao Yang
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[DOI]
TextCaps: a Dataset for Image Captioning with Reading Comprehension- Oleksii Sidorov, Ronghang Hu, Marcus Rohrbach, Amanpreet Singh
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[DOI]
It is not the Journey but the Destination: Endpoint Conditioned Trajectory Prediction- Karttikeya Mangalam, Harshayu Girase, Shreyas Agarwal, Kuan-Hui Lee, Ehsan Adeli, Jitendra Malik, Adrien Gaidon
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[DOI]
Learning What to Learn for Video Object Segmentation- Goutam Bhat, Felix Järemo Lawin, Martin Danelljan, Andreas Robinson, Michael Felsberg, Luc Van Gool, Radu Timofte
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[DOI]
SIZER: A Dataset and Model for Parsing 3D Clothing and Learning Size Sensitive 3D Clothing- Garvita Tiwari, Bharat Lal Bhatnagar, Tony Tung, Gerard Pons-Moll
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[DOI]
LIMP: Learning Latent Shape Representations with Metric Preservation Priors- Luca Cosmo, Antonio Norelli, Oshri Halimi, Ron Kimmel, Emanuele Rodolà
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[DOI]
Unsupervised Sketch to Photo Synthesis- Runtao Liu, Qian Yu, Stella X. Yu
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[DOI]
A Simple Way to Make Neural Networks Robust Against Diverse Image Corruptions- Evgenia Rusak, Lukas Schott, Roland S. Zimmermann, Julian Bitterwolf , Oliver Bringmann, Matthias Bethge, Wieland Brendel
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[DOI]
SoftPoolNet: Shape Descriptor for Point Cloud Completion and Classification- Yida Wang, David Joseph Tan, Nassir Navab, Federico Tombari
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[DOI]
Hierarchical Face Aging through Disentangled Latent Characteristics- Peipei Li, Huaibo Huang, Yibo Hu, Xiang Wu, Ran He, Zhenan Sun
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[DOI]
Hybrid Models for Open Set Recognition- Hongjie Zhang, Ang Li, Jie Guo, Yanwen Guo
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[DOI]
TopoGAN: A Topology-Aware Generative Adversarial Network- Fan Wang, Huidong Liu, Dimitris Samaras, Chao Chen
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[DOI]
Learning to Localize Actions from Moments- Fuchen Long, Ting Yao, Zhaofan Qiu, Xinmei Tian, Jiebo Luo, Tao Mei
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[DOI]
ForkGAN: Seeing into the Rainy Night- Ziqiang Zheng, Yang Wu, Xinran Han, Jianbo Shi
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[DOI]
TCGM: An Information-Theoretic Framework for Semi-Supervised Multi-Modality Learning- Xinwei Sun, Yilun Xu, Peng Cao, Yuqing Kong, Lingjing Hu, Shanghang Zhang, Yizhou Wang
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[DOI]
ExchNet: A Unified Hashing Network for Large-Scale Fine-Grained Image Retrieval- Quan Cui, Qing-Yuan Jiang, Xiu-Shen Wei, Wu-Jun Li, Osamu Yoshie
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[DOI]
TSIT: A Simple and Versatile Framework for Image-to-Image Translation- Liming Jiang, Changxu Zhang, Mingyang Huang, Chunxiao Liu, Jianping Shi, Chen Change Loy
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[DOI]
ProxyBNN: Learning Binarized Neural Networks via Proxy Matrices- Xiangyu He, Zitao Mo, Ke Cheng, Weixiang Xu, Qinghao Hu, Peisong Wang, Qingshan Liu, Jian Cheng
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[DOI]
HMOR: Hierarchical Multi-Person Ordinal Relations for Monocular Multi-Person 3D Pose Estimation- Can Wang, Jiefeng Li, Wentao Liu, Chen Qian, Cewu Lu
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[DOI]
Mask2CAD: 3D Shape Prediction by Learning to Segment and Retrieve- Weicheng Kuo, Anelia Angelova, Tsung-Yi Lin, Angela Dai
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[DOI]
A Unified Framework of Surrogate Loss by Refactoring and Interpolation- Lanlan Liu, Mingzhe Wang, Jia Deng
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[DOI]
Deep Reflectance Volumes: Relightable Reconstructions from Multi-View Photometric Images- Sai Bi, Zexiang Xu, Kalyan Sunkavalli, Miloš Hašan, Yannick Hold-Geoffroy, David Kriegman, Ravi Ramamoorthi
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[DOI]
Memory-augmented Dense Predictive Coding for Video Representation Learning- Tengda Han, Weidi Xie, Andrew Zisserman
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[DOI]
PointMixup: Augmentation for Point Clouds- Yunlu Chen, Vincent Tao Hu, Efstratios Gavves, Thomas Mensink, Pascal Mettes, Pengwan Yang, Cees G. M. Snoek
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[DOI]
Identity-Guided Human Semantic Parsing for Person Re-Identification- Kuan Zhu, Haiyun Guo, Zhiwei Liu, Ming Tang, Jinqiao Wang
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[DOI]
Learning Gradient Fields for Shape Generation- Ruojin Cai, Guandao Yang, Hadar Averbuch-Elor, Zekun Hao, Serge Belongie, Noah Snavely, Bharath Hariharan
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[DOI]
COCO-FUNIT: Few-Shot Unsupervised Image Translation with a Content Conditioned Style Encoder- Kuniaki Saito, Kate Saenko, Ming-Yu Liu
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[DOI]
Corner Proposal Network for Anchor-free, Two-stage Object Detection- Kaiwen Duan, Lingxi Xie, Honggang Qi, Song Bai, Qingming Huang, Qi Tian
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[DOI]
PhraseClick: Toward Achieving Flexible Interactive Segmentation by Phrase and Click- Henghui Ding, Scott Cohen, Brian Price, Xudong Jiang
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[DOI]
Unified Multisensory Perception: Weakly-Supervised Audio-Visual Video Parsing- Yapeng Tian, Dingzeyu Li, Chenliang Xu
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[DOI]
Learning Delicate Local Representations for Multi-Person Pose Estimation- Yuanhao Cai, Zhicheng Wang, Zhengxiong Luo, Binyi Yin, Angang Du, Haoqian Wang, Xiangyu Zhang, Xinyu Zhou, Erjin Zhou, Jian Sun
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[DOI]
Learning to Plan with Uncertain Topological Maps- Edward Beeching, Jilles Dibangoye, Olivier Simonin, Christian Wolf
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[DOI]
Neural Design Network: Graphic Layout Generation with Constraints- Hsin-Ying Lee, Lu Jiang, Irfan Essa, Phuong B Le, Haifeng Gong, Ming-Hsuan Yang, Weilong Yang
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[DOI]
Learning Open Set Network with Discriminative Reciprocal Points- Guangyao Chen, Limeng Qiao, Yemin Shi, Peixi Peng, Jia Li, Tiejun Huang, Shiliang Pu, Yonghong Tian
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[DOI]
Convolutional Occupancy Networks- Songyou Peng, Michael Niemeyer, Lars Mescheder, Marc Pollefeys, Andreas Geiger
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[DOI]
Multi-person 3D Pose Estimation in Crowded Scenes Based on Multi-View Geometry- He Chen, Pengfei Guo, Pengfei Li, Gim Hee Lee, Gregory Chirikjian
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[DOI]
TIDE: A General Toolbox for Identifying Object Detection Errors- Daniel Bolya, Sean Foley, James Hays, Judy Hoffman
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[DOI]
PointContrast: Unsupervised Pre-training for 3D Point Cloud Understanding- Saining Xie, Jiatao Gu, Demi Guo, Charles R. Qi, Leonidas Guibas, Or Litany
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[DOI]
DSA: More Efficient Budgeted Pruning via Differentiable Sparsity Allocation- Xuefei Ning, Tianchen Zhao, Wenshuo Li, Peng Lei, Yu Wang, Huazhong Yang
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[DOI]
Circumventing Outliers of AutoAugment with Knowledge Distillation- Longhui Wei, An Xiao, Lingxi Xie, Xiaopeng Zhang, Xin Chen, Qi Tian
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[DOI]
S2DNet: Learning Image Features for Accurate Sparse-to-Dense Matching- Hugo Germain, Guillaume Bourmaud, Vincent Lepetit
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[DOI]
RTM3D: Real-time Monocular 3D Detection from Object Keypoints for Autonomous Driving- Peixuan Li, Huaici Zhao, Pengfei Liu, Feidao Cao
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[DOI]
Video Object Segmentation with Episodic Graph Memory Networks- Xiankai Lu, Wenguan Wang, Martin Danelljan, Tianfei Zhou, Jianbing Shen, Luc Van Gool
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[DOI]
Rethinking Bottleneck Structure for Efficient Mobile Network Design- Daquan Zhou, Qibin Hou, Yunpeng Chen, Jiashi Feng, Shuicheng Yan
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[DOI]
Side-Tuning: A Baseline for Network Adaptation via Additive Side Networks- Jeffrey O. Zhang, Alexander Sax, Amir Zamir, Leonidas Guibas, Jitendra Malik
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[DOI]
Towards Part-aware Monocular 3D Human Pose Estimation: An Architecture Search Approach- Zerui Chen, Yan Huang, Hongyuan Yu, Bin Xue, Ke Han, Yiru Guo, Liang Wang
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[DOI]
REVISE: A Tool for Measuring and Mitigating Bias in Visual Datasets- Angelina Wang, Arvind Narayanan, Olga Russakovsky
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[DOI]
Contrastive Learning for Weakly Supervised Phrase Grounding- Tanmay Gupta, Arash Vahdat, Gal Chechik, Xiaodong Yang, Jan Kautz, Derek Hoiem
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[DOI]
Collaborative Learning of Gesture Recognition and 3D Hand Pose Estimation with Multi-Order Feature Analysis- Siyuan Yang, Jun Liu, Shijian Lu, Meng Hwa Er, Alex C. Kot
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[DOI]
Making an Invisibility Cloak: Real World Adversarial Attacks on Object Detectors- Zuxuan Wu, Ser-Nam Lim, Larry S. Davis, Tom Goldstein
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[DOI]
TuiGAN: Learning Versatile Image-to-Image Translation with Two Unpaired Images- Jianxin Lin, Yingxue Pang, Yingce Xia, Zhibo Chen, Jiebo Luo
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[DOI]
Semi-Siamese Training for Shallow Face Learning- Hang Du, Hailin Shi, Yuchi Liu, Jun Wang, Zhen Lei, Dan Zeng, Tao Mei
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[DOI]
GAN Slimming: All-in-One GAN Compression by A Unified Optimization Framework- Haotao Wang, Shupeng Gui, Haichuan Yang, Ji Liu, Zhangyang Wang
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[DOI]
Human Interaction Learning on 3D Skeleton Point Clouds for Video Violence Recognition- Yukun Su, Guosheng Lin, Jinhui Zhu, Qingyao Wu
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[DOI]
Binarized Neural Network for Single Image Super Resolution- Jingwei Xin, Nannan Wang, Xinrui Jiang, Jie Li, Heng Huang, Xinbo Gao
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[DOI]
Axial-DeepLab: Stand-Alone Axial-Attention for Panoptic Segmentation- Huiyu Wang, Yukun Zhu, Bradley Green, Hartwig Adam, Alan Yuille, Liang-Chieh Chen
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[DOI]
Adaptive Computationally Efficient Network for Monocular 3D Hand Pose Estimation- Zhipeng Fan, Jun Liu, Yao Wang
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[DOI]
Chained-Tracker: Chaining Paired Attentive Regression Results for End-to-End Joint Multiple-Object Detection and Tracking- Jinlong Peng, Changan Wang, Fangbin Wan, Yang Wu, Yabiao Wang, Ying Tai, Chengjie Wang, Jilin Li, Feiyue Huang, Yanwei Fu
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[DOI]
Distribution-Balanced Loss for Multi-Label Classification in Long-Tailed Datasets- Tong Wu, Qingqiu Huang, Ziwei Liu, Yu Wang, Dahua Lin
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[DOI]
Hamiltonian Dynamics for Real-World Shape Interpolation- Marvin Eisenberger, Daniel Cremers
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[DOI]
Learning to Scale Multilingual Representations for Vision-Language Tasks- Andrea Burns, Donghyun Kim, Derry Wijaya, Kate Saenko, Bryan A. Plummer
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[DOI]
Multi-modal Transformer for Video Retrieval- Valentin Gabeur, Chen Sun, Karteek Alahari, Cordelia Schmid
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[DOI]
Feature Representation Matters: End-to-End Learning for Reference-based Image Super-resolution- Yanchun Xie, Jimin Xiao, Mingjie Sun, Chao Yao, Kaizhu Huang
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[DOI]
RobustFusion: Human Volumetric Capture with Data-driven Visual Cues using a RGBD Camera- Zhuo Su, Lan Xu, Zerong Zheng, Tao Yu, Yebin Liu, Lu Fang
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[DOI]
Surface Normal Estimation of Tilted Images via Spatial Rectifier- Tien Do, Khiem Vuong, Stergios I. Roumeliotis, Hyun Soo Park
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[DOI]
Multimodal Shape Completion via Conditional Generative Adversarial Networks- Rundi Wu, Xuelin Chen, Yixin Zhuang, Baoquan Chen
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[DOI]
Generative Sparse Detection Networks for 3D Single-shot Object Detection- JunYoung Gwak, Christopher Choy, Silvio Savarese
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[DOI]
Grounded Situation Recognition- Sarah Pratt, Mark Yatskar, Luca Weihs, Ali Farhadi, Aniruddha Kembhavi
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[DOI]
Learning Modality Interaction for Temporal Sentence Localization and Event Captioning in Videos- Shaoxiang Chen, Wenhao Jiang, Wei Liu, Yu-Gang Jiang
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[DOI]
Unpaired Learning of Deep Image Denoising- Xiaohe Wu, Ming Liu, Yue Cao, Dongwei Ren, Wangmeng Zuo
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[DOI]
Self-supervising Fine-grained Region Similarities for Large-scale Image Localization- Yixiao Ge, Haibo Wang, Feng Zhu, Rui Zhao, Hongsheng Li
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[DOI]
Rotationally-Temporally Consistent Novel View Synthesis of Human Performance Video- Youngjoong Kwon, Stefano Petrangeli, Dahun Kim, Haoliang Wang, Eunbyung Park, Viswanathan Swaminathan, Henry Fuchs
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[DOI]
Side-Aware Boundary Localization for More Precise Object Detection- Jiaqi Wang, Wenwei Zhang, Yuhang Cao, Kai Chen, Jiangmiao Pang, Tao Gong, Jianping Shi, Chen Change Loy, Dahua Lin
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[DOI]
SF-Net: Single-Frame Supervision for Temporal Action Localization- Fan Ma, Linchao Zhu, Yi Yang, Shengxin Zha, Gourab Kundu, Matt Feiszli, Zheng Shou
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[DOI]
Negative Margin Matters: Understanding Margin in Few-shot Classification- Bin Liu, Yue Cao, Yutong Lin, Qi Li, Zheng Zhang, Mingsheng Long, Han Hu
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[DOI]
Particularity beyond Commonality: Unpaired Identity Transfer with Multiple References- Ruizheng Wu, Xin Tao, Yingcong Chen, Xiaoyong Shen, Jiaya Jia
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[DOI]
Tracking Objects as Points- Xingyi Zhou, Vladlen Koltun, Philipp Krähenbühl
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[DOI]
CPGAN: Content-Parsing Generative Adversarial Networks for Text-to-Image Synthesis- Jiadong Liang, Wenjie Pei, Feng Lu
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[DOI]
Transporting Labels via Hierarchical Optimal Transport for Semi-Supervised Learning- Fariborz Taherkhani, Ali Dabouei, Sobhan Soleymani, Jeremy Dawson, Nasser M. Nasrabadi
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[DOI]
MTI-Net: Multi-Scale Task Interaction Networks for Multi-Task Learning- Simon Vandenhende, Stamatios Georgoulis, Luc Van Gool
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[DOI]
Learning to Factorize and Relight a City- Andrew Liu, Shiry Ginosar, Tinghui Zhou, Alexei A. Efros, Noah Snavely
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[DOI]
Region Graph Embedding Network for Zero-Shot Learning- Guo-Sen Xie, Li Liu, Fan Zhu, Fang Zhao, Zheng Zhang, Yazhou Yao, Jie Qin, Ling Shao
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[DOI]
GRAB: A Dataset of Whole-Body Human Grasping of Objects- Omid Taheri, Nima Ghorbani, Michael J. Black, Dimitrios Tzionas
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[DOI]
DEMEA: Deep Mesh Autoencoders for Non-Rigidly Deforming Objects- Edgar Tretschk, Ayush Tewari, Michael Zollhöfer, Vladislav Golyanik, Christian Theobalt
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[DOI]
RANSAC-Flow: Generic Two-stage Image Alignment- Xi Shen, François Darmon, Alexei A. Efros, Mathieu Aubry
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[DOI]
Semantic Object Prediction and Spatial Sound Super-Resolution with Binaural Sounds- Arun Balajee Vasudevan, Dengxin Dai, Luc Van Gool
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[DOI]
Neural Object Learning for 6D Pose Estimation Using a Few Cluttered Images- Kiru Park, Timothy Patten, Markus Vincze
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[DOI]
Dense Hybrid Recurrent Multi-view Stereo Net with Dynamic Consistency Checking- Jianfeng Yan, Zizhuang Wei, Hongwei Yi, Mingyu Ding, Runze Zhang, Yisong Chen, Guoping Wang, Yu-Wing Tai
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[DOI]
Pixel-Pair Occlusion Relationship Map (P2ORM): Formulation, Inference & Application- Xuchong Qiu, Yang Xiao, Chaohui Wang, Renaud Marlet
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[DOI]
MovieNet: A Holistic Dataset for Movie Understanding- Qingqiu Huang, Yu Xiong, Anyi Rao, Jiaze Wang, Dahua Lin
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[DOI]
Short-Term and Long-Term Context Aggregation Network for Video Inpainting- Ang Li, Shanshan Zhao, Xingjun Ma, Mingming Gong, Jianzhong Qi, Rui Zhang, Dacheng Tao, Ramamohanarao Kotagiri
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[DOI]
DH3D: Deep Hierarchical 3D Descriptors for Robust Large-Scale 6DoF Relocalization- Juan Du, Rui Wang, Daniel Cremers
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[DOI]
Face Super-Resolution Guided by 3D Facial Priors- Xiaobin Hu, Wenqi Ren, John LaMaster, Xiaochun Cao, Xiaoming Li, Zechao Li, Bjoern Menze, Wei Liu
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[DOI]
Label Propagation with Augmented Anchors: A Simple Semi-Supervised Learning baseline for Unsupervised Domain Adaptation- Yabin Zhang, Bin Deng, Kui Jia, Lei Zhang
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[DOI]
Are Labels Necessary for Neural Architecture Search?- Chenxi Liu, Piotr Dollár, Kaiming He, Ross Girshick, Alan Yuille, Saining Xie
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[DOI]
BLSM: A Bone-Level Skinned Model of the Human Mesh- Haoyang Wang, Riza Alp Güler, Iasonas Kokkinos, George Papandreou, Stefanos Zafeiriou
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[DOI]
Associative Alignment for Few-shot Image Classification- Arman Afrasiyabi, Jean-François Lalonde, Christian Gagné
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[DOI]
Cyclic Functional Mapping: Self-supervised Correspondence between Non-isometric Deformable Shapes- Dvir Ginzburg, Dan Raviv
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[DOI]
View-Invariant Probabilistic Embedding for Human Pose- Jennifer J. Sun, Jiaping Zhao, Liang-Chieh Chen, Florian Schroff, Hartwig Adam, Ting Liu
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[DOI]
Contact and Human Dynamics from Monocular Video- Davis Rempe, Leonidas J. Guibas, Aaron Hertzmann, Bryan Russell, Ruben Villegas, Jimei Yang
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[DOI]
PointPWC-Net: Cost Volume on Point Clouds for (Self-)Supervised Scene Flow Estimation- Wenxuan Wu, Zhi Yuan Wang, Zhuwen Li, Wei Liu, Li Fuxin
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[DOI]
Points2Surf Learning Implicit Surfaces from Point Clouds- Philipp Erler, Paul Guerrero, Stefan Ohrhallinger, Niloy J. Mitra, Michael Wimmer
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[DOI]
Few-Shot Scene-Adaptive Anomaly Detection- Yiwei Lu, Frank Yu, Mahesh Kumar Krishna Reddy, Yang Wang
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[DOI]
Personalized Face Modeling for Improved Face Reconstruction and Motion Retargeting- Bindita Chaudhuri, Noranart Vesdapunt, Linda Shapiro, Baoyuan Wang
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[DOI]
Entropy Minimisation Framework for Event-based Vision Model Estimation- Urbano Miguel Nunes, Yiannis Demiris
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[DOI]
Reconstructing NBA Players- Luyang Zhu, Konstantinos Rematas, Brian Curless, Steven M. Seitz, Ira Kemelmacher-Shlizerman
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[DOI]
PIoU Loss: Towards Accurate Oriented Object Detection in Complex Environments- Zhiming Chen, Kean Chen, Weiyao Lin, John See, Hui Yu, Yan Ke, Cong Yang
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[DOI]
TENet: Triple Excitation Network for Video Salient Object Detection- Sucheng Ren, Chu Han, Xin Yang, Guoqiang Han, Shengfeng He
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[DOI]
Deep Feedback Inverse Problem Solver- Wei-Chiu Ma, Shenlong Wang, Jiayuan Gu, Sivabalan Manivasagam, Antonio Torralba, Raquel Urtasun
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[DOI]
Learning From Multiple Experts: Self-paced Knowledge Distillation for Long-tailed Classification- Liuyu Xiang, Guiguang Ding, Jungong Han
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[DOI]
Hallucinating Visual Instances in Total Absentia- Jiayan Qiu, Yiding Yang, Xinchao Wang, Dacheng Tao
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[DOI]
Weakly-supervised 3D Shape Completion in the Wild- Jiayuan Gu, Wei-Chiu Ma, Sivabalan Manivasagam, Wenyuan Zeng, Zihao Wang, Yuwen Xiong, Hao Su, Raquel Urtasun
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[DOI]
DTVNet: Dynamic Time-lapse Video Generation via Single Still Image- Jiangning Zhang, Chao Xu, Liang Liu, Mengmeng Wang, Xia Wu, Yong Liu, Yunliang Jiang
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[DOI]
CLIFFNet for Monocular Depth Estimation with Hierarchical Embedding Loss- Lijun Wang, Jianming Zhang, Yifan Wang, Huchuan Lu, Xiang Ruan
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[DOI]
Collaborative Video Object Segmentation by Foreground-Background Integration- Zongxin Yang, Yunchao Wei, Yi Yang
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[DOI]
Adaptive Margin Diversity Regularizer for handling Data Imbalance in Zero-Shot SBIR- Titir Dutta, Anurag Singh, Soma Biswas
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[DOI]
ETH-XGaze: A Large Scale Dataset for Gaze Estimation under Extreme Head Pose and Gaze Variation- Xucong Zhang, Seonwook Park, Thabo Beeler, Derek Bradley, Siyu Tang , Otmar Hilliges
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[DOI]
Calibration-free Structure-from-Motion with Calibrated Radial Trifocal Tensors- Viktor Larsson, Nicolas Zobernig, Kasim Taskin, Marc Pollefeys
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[DOI]
Occupancy Anticipation for Efficient Exploration and Navigation- Santhosh K. Ramakrishnan, Ziad Al-Halah, Kristen Grauman
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[DOI]
Unified Image and Video Saliency Modeling- Richard Droste, Jianbo Jiao, J. Alison Noble
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[DOI]
TAO: A Large-Scale Benchmark for Tracking Any Object- Achal Dave, Tarasha Khurana, Pavel Tokmakov, Cordelia Schmid, Deva Ramanan
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[DOI]
A Generalization of Otsu’s Method and Minimum Error Thresholding- Jonathan T. Barron
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[DOI]
A Cordial Sync: Going Beyond Marginal Policies for Multi-Agent Embodied Tasks- Unnat Jain, Luca Weihs, Eric Kolve, Ali Farhadi, Svetlana Lazebnik, Aniruddha Kembhavi, Alexander Schwing
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[DOI]
Big Transfer (BiT): General Visual Representation Learning- Alexander Kolesnikov, Lucas Beyer, Xiaohua Zhai, Joan Puigcerver, Jessica Yung, Sylvain Gelly, Neil Houlsby
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[DOI]
VisualCOMET: Reasoning about the Dynamic Context of a Still Image- Jae Sung Park, Chandra Bhagavatula, Roozbeh Mottaghi, Ali Farhadi, Yejin Choi
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[DOI]
Few-shot Action Recognition with Permutation-invariant Attention- Hongguang Zhang, Li Zhang, Xiaojuan Qi, Hongdong Li, Philip H. S. Torr, Piotr Koniusz
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[DOI]
Character Grounding and Re-Identification in Story of Videos and Text Descriptions- Youngjae Yu, Jongseok Kim, Heeseung Yun, Jiwan Chung, Gunhee Kim
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[DOI]
AABO: Adaptive Anchor Box Optimization for Object Detection via Bayesian Sub-sampling- Wenshuo Ma, Tingzhong Tian, Hang Xu, Yimin Huang, Zhenguo Li
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[DOI]
Learning Visual Context by Comparison- Minchul Kim, Jongchan Park, Seil Na, Chang Min Park, Donggeun Yoo
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[DOI]
Large Scale Holistic Video Understanding- Ali Diba, Mohsen Fayyaz, Vivek Sharma, Manohar Paluri, Jürgen Gall, Rainer Stiefelhagen, Luc Van Gool
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[DOI]
Indirect Local Attacks for Context-aware Semantic Segmentation Networks- Krishna Kanth Nakka, Mathieu Salzmann
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[DOI]
Predicting Visual Overlap of Images Through Interpretable Non-Metric Box Embeddings- Anita Rau, Guillermo Garcia-Hernando, Danail Stoyanov, Gabriel J. Brostow, Daniyar Turmukhambetov
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[DOI]
Connecting Vision and Language with Localized Narratives- Jordi Pont-Tuset, Jasper Uijlings, Soravit Changpinyo, Radu Soricut, Vittorio Ferrari
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[DOI]
Adversarial T-shirt! Evading Person Detectors in A Physical World- Kaidi Xu, Gaoyuan Zhang, Sijia Liu, Quanfu Fan, Mengshu Sun, Hongge Chen, Pin-Yu Chen, Yanzhi Wang, Xue Lin
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[DOI]
Bounding-box Channels for Visual Relationship Detection- Sho Inayoshi, Keita Otani, Antonio Tejero-de-Pablos, Tatsuya Harada
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[DOI]
Minimal Rolling Shutter Absolute Pose with Unknown Focal Length and Radial Distortion- Zuzana Kukelova, Cenek Albl, Akihiro Sugimoto, Konrad Schindler, Tomas Pajdla
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[DOI]
SRFlow: Learning the Super-Resolution Space with Normalizing Flow- Andreas Lugmayr, Martin Danelljan, Luc Van Gool, Radu Timofte
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[DOI]
DeepGMR: Learning Latent Gaussian Mixture Models for Registration- Wentao Yuan, Benjamin Eckart, Kihwan Kim, Varun Jampani, Dieter Fox , Jan Kautz
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[DOI]
Active Perception using Light Curtains for Autonomous Driving- Siddharth Ancha, Yaadhav Raaj, Peiyun Hu, Srinivasa G. Narasimhan, David Held
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[DOI]
Invertible Neural BRDF for Object Inverse Rendering- Zhe Chen, Shohei Nobuhara, Ko Nishino
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[DOI]
Semi-supervised Semantic Segmentation via Strong-weak Dual-branch Network- Wenfeng Luo, Meng Yang
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[DOI]
Practical Deep Raw Image Denoising on Mobile Devices- Yuzhi Wang, Haibin Huang, Qin Xu, Jiaming Liu, Yiqun Liu, Jue Wang
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[DOI]
SoundSpaces: Audio-Visual Navigation in 3D Environments- Changan Chen, Unnat Jain, Carl Schissler, Sebastia Vicenc Amengual Gari, Ziad Al-Halah, Vamsi Krishna Ithapu, Philip Robinson, and Kristen Grauman
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[DOI]
Two-Stream Consensus Network for Weakly-Supervised Temporal Action Localization- Yuanhao Zhai, Le Wang, Wei Tang, Qilin Zhang, Junsong Yuan, Gang Hua
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[DOI]
Erasing Appearance Preservation in Optimization-based Smoothing- Lvmin Zhang, Chengze Li, Yi JI, Chunping Liu, Tien-tsin Wong
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[DOI]
Counterfactual Vision-and-Language Navigation via Adversarial Path Sampler- Tsu-Jui Fu, Xin Eric Wang, Matthew F. Peterson,Scott T. Grafton, Miguel P. Eckstein, William Yang Wang
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[DOI]
Guided Deep Decoder: Unsupervised Image Pair Fusion- Tatsumi Uezato, Danfeng Hong, Naoto Yokoya, Wei He
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[DOI]
Filter Style Transfer between Photos- Jonghwa Yim, Jisung Yoo, Won-joon Do, Beomsu Kim, Jihwan Choe
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[DOI]
JGR-P2O: Joint Graph Reasoning based Pixel-to-Offset Prediction Network for 3D Hand Pose Estimation from a Single Depth Image- Linpu Fang, Xingyan Liu, Li Liu, Hang Xu, Wenxiong Kang
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[DOI]
Dynamic Group Convolution for Accelerating Convolutional Neural Networks- Zhuo Su, Linpu Fang, Wenxiong Kang, Dewen Hu, Matti Pietikäinen, Li Liu
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[DOI]
RD-GAN: Few/Zero-Shot Chinese Character Style Transfer via Radical Decomposition and Rendering- Yaoxiong Huang, Mengchao He, Lianwen Jin, Yongpan Wang
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[DOI]
Object-Contextual Representations for Semantic Segmentation- Yuhui Yuan, Xilin Chen, Jingdong Wang
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[DOI]
Efficient Spatio-Temporal Recurrent Neural Network for Video Deblurring- Zhihang Zhong, Ye Gao, Yinqiang Zheng, Bo Zheng
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[DOI]
Joint Semantic Instance Segmentation on Graphs with the Semantic Mutex Watershed- Steffen Wolf, Yuyan Li, Constantin Pape, Alberto Bailoni, Anna Kreshuk, Fred A. Hamprecht
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[DOI]
Photon-Efficient 3D Imaging with A Non-Local Neural Network- Jiayong Peng, Zhiwei Xiong, Xin Huang, Zheng-Ping Li, Dong Liu, Feihu Xu
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[DOI]
GeLaTO: Generative Latent Textured Objects- Ricardo Martin-Brualla, Rohit Pandey, Sofien Bouaziz, Matthew Brown, Dan B Goldman
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[DOI]
Improving Vision-and-Language Navigation with Image-Text Pairs from the Web- Arjun Majumdar, Ayush Shrivastava, Stefan Lee, Peter Anderson, Devi Parikh, Dhruv Batra
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[DOI]
Directional Temporal Modeling for Action Recognition- Xinyu Li, Bing Shuai, Joseph Tighe
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[DOI]
Shonan Rotation Averaging: Global Optimality by Surfing SO(p)(n)- Frank Dellaert, David M. Rosen, Jing Wu, Robert Mahony, Luca Carlone
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[DOI]
Semantic Curiosity for Active Visual Learning- Devendra Singh Chaplot, Helen Jiang, Saurabh Gupta, Abhinav Gupta
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[DOI]
Multi-Temporal Recurrent Neural Networks For Progressive Non-Uniform Single Image Deblurring With Incremental Temporal Training- Dongwon Park, Dong Un Kang, Jisoo Kim, Se Young Chun
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[DOI]
ProgressFace: Scale-Aware Progressive Learning for Face Detection- Jiashu Zhu, Dong Li, Tiantian Han, Lu Tian, Yi Shan
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[DOI]
Learning Multi-layer Latent Variable Model via Variational Optimization of Short Run MCMC for Approximate Inference- Erik Nijkamp, Bo Pang, Tian Han, Linqi Zhou, Song-Chun Zhu, Ying Nian Wu
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[DOI]
CoTeRe-Net: Discovering Collaborative Ternary Relations in Videos- Zhensheng Shi, Cheng Guan, Liangjie Cao, Qianqian Li, Ju Liang, Zhaorui Gu, Haiyong Zheng, Bing Zheng
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[DOI]
Modeling the Effects of Windshield Refraction for Camera Calibration- Frank Verbiest, Marc Proesmans, Luc Van Gool
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[DOI]
Unsupervised Domain Adaptation for Semantic Segmentation of NIR Images through Generative Latent Search- Prashant Pandey, Aayush Kumar Tyagi, Sameer Ambekar, Prathosh AP
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[DOI]
PROFIT: A Novel Training Method for sub-4-bit MobileNet Models- Eunhyeok Park, Sungjoo Yoo
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[DOI]
Visual Relation Grounding in Videos- Junbin Xiao, Xindi Shang, Xun Yang, Sheng Tang, Tat-Seng Chua
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[DOI]
Weakly Supervised 3D Human Pose and Shape Reconstruction with Normalizing Flows- Andrei Zanfir, Eduard Gabriel Bazavan, Hongyi Xu, William T. Freeman, Rahul Sukthankar, Cristian Sminchisescu
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[DOI]
Controlling Style and Semantics in Weakly-Supervised Image Generation- Dario Pavllo, Aurelien Lucchi, Thomas Hofmann
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[DOI]
Jointly learning visual motion and confidence from local patches in event cameras- Daniel R. Kepple, Daewon Lee, Colin Prepsius, Volkan Isler, Il Memming Park, Daniel D. Lee
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[DOI]
SODA: Story Oriented Dense Video Captioning Evaluation Framework- Soichiro Fujita, Tsutomu Hirao, Hidetaka Kamigaito, Manabu Okumura, Masaaki Nagata
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[DOI]
Sketch-Guided Object Localization in Natural Images- Aditay Tripathi, Rajath R. Dani, Anand Mishra and Anirban Chakraborty
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[DOI]
A unifying mutual information view of metric learning: cross-entropy vs. pairwise losses- Malik Boudiaf, Jérôme Rony, Imtiaz Masud Ziko, Eric Granger, Marco Pedersoli, Pablo Piantanida, Ismail Ben Ayed
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[DOI]
Behind the Scene: Revealing the Secrets of Pre-trained Vision-and-Language Models- Jize Cao, Zhe Gan, Yu Cheng, Licheng Yu, Yen-Chun Chen, Jingjing Liu
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[DOI]
The Hessian Penalty: A Weak Prior for Unsupervised Disentanglement- William Peebles, John Peebles, Jun-Yan Zhu, Alexei Efros, Antonio Torralba
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[DOI]
STAR: Sparse Trained Articulated Human Body Regressor- Ahmed A. A. Osman, Timo Bolkart, Michael J. Black
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[DOI]
Optical Flow Distillation: Towards Efficient and Stable Video Style Transfer- Xinghao Chen, Yiman Zhang, Yunhe Wang, Han Shu, Chunjing Xu, Chang Xu
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[DOI]
Collaboration by Competition: Self-coordinated Knowledge Amalgamation for Multi-talent Student Learning- Sihui Luo, Wenwen Pan, Xinchao Wang, Dazhou Wang, Haihong Tang, Mingli Song
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[DOI]
Do Not Disturb Me: Person Re-identification Under the Interference of Other Pedestrians- Shizhen Zhao, Changxin Gao, Jun Zhang, Hao Cheng, Chuchu Han, Xinyang Jiang, Xiaowei Guo, Wei-Shi Zheng, Nong Sang, Xing Sun
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[DOI]
Learning 3D Part Assembly from a Single Image- Yichen Li, Kaichun Mo, Lin Shao, Minhyuk Sung, Leonidas Guibas
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[DOI]
PT2PC: Learning to Generate 3D Point Cloud Shapes from Part Tree Conditions- Kaichun Mo, He Wang, Xinchen Yan, Leonidas Guibas
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[DOI]
Highly Efficient Salient Object Detection with 100K Parameters- Shang-Hua Gao, Yong-Qiang Tan, Ming-Ming Cheng, Chengze Lu, Yunpeng Chen, Shuicheng Yan
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[DOI]
HardGAN: A Haze-Aware Representation Distillation GAN for Single Image Dehazing- Qili Deng, Ziling Huang, Chung-Chi Tsai, Chia-Wen Lin
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[DOI]
Lifespan Age Transformation Synthesis- Roy Or-El, Soumyadip Sengupta, Ohad Fried, Eli Shechtman, Ira Kemelmacher-Shlizerman
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[DOI]
Domain2Vec: Domain Embedding for Unsupervised Domain Adaptation- Xingchao Peng, Yichen Li, Kate Saenko
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[DOI]
Simulating Content Consistent Vehicle Datasets with Attribute Descent- Yue Yao, Liang Zheng, Xiaodong Yang, Milind Naphade, Tom Gedeon
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[DOI]
Multiview Detection with Feature Perspective Transformation- Yunzhong Hou, Liang Zheng, Stephen Gould
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[DOI]
Learning Object Relation Graph and Tentative Policy for Visual Navigation- Heming Du, Xin Yu, Liang Zheng
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[DOI]
Adversarial Self-Supervised Learning for Semi-Supervised 3D Action Recognition- Chenyang Si, Xuecheng Nie, Wei Wang, Liang Wang, Tieniu Tan, Jiashi Feng
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[DOI]
Across Scales & Across Dimensions: Temporal Super-Resolution using Deep Internal Learning- Liad Pollak Zuckerman, Eyal Naor, George Pisha, Shai Bagon, Michal Irani
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[DOI]
Inducing Optimal Attribute Representations for Conditional GANs- Binod Bhattarai, Tae-Kyun Kim
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[DOI]
AR-Net: Adaptive Frame Resolution for Efficient Action Recognition- Yue Meng, Chung-Ching Lin, Rameswar Panda, Prasanna Sattigeri, Leonid Karlinsky, Aude Oliva, Kate Saenko, Rogerio Feris
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[DOI]
Image-to-Voxel Model Translation for 3D Scene Reconstruction and Segmentation- Vladimir V. Kniaz, Vladimir A. Knyaz, Fabio Remondino, Artem Bordodymov, Petr Moshkantsev
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[DOI]
Consistency Guided Scene Flow Estimation- Yuhua Chen, Luc Van Gool, Cordelia Schmid, Cristian Sminchisescu
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[DOI]
Autoregressive Unsupervised Image Segmentation- Yassine Ouali, Céline Hudelot, Myriam Tami
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[DOI]
Controllable Image Synthesis via SegVAE- Yen-Chi Cheng, Hsin-Ying Lee, Min Sun, Ming-Hsuan Yang
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[DOI]
Off-Policy Reinforcement Learning for Efficient and Effective GAN Architecture Search- Yuan Tian, Qin Wang, Zhiwu Huang, Wen Li, Dengxin Dai, Minghao Yang , Jun Wang, Olga Fink
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[DOI]
Efficient Non-Line-of-Sight Imaging from Transient Sinograms- Mariko Isogawa, Dorian Chan, Ye Yuan, Kris Kitani, Matthew O’Toole
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[DOI]
Texture Hallucination for Large-Factor Painting Super-Resolution- Yulun Zhang, Zhifei Zhang, Stephen DiVerdi, Zhaowen Wang, Jose Echevarria, Yun Fu
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[DOI]
Learning Progressive Joint Propagation for Human Motion Prediction- Yujun Cai, Lin Huang, Yiwei Wang, Tat-Jen Cham, Jianfei Cai, Junsong Yuan, Jun Liu, Xu Yang, Yiheng Zhu, Xiaohui Shen, Ding Liu, Jing Liu, Nadia Magnenat Thalmann
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[DOI]
Image Stitching and Rectification for Hand-Held Cameras- Bingbing Zhuang, Quoc-Huy Tran
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[DOI]
ParSeNet: A Parametric Surface Fitting Network for 3D Point Clouds- Gopal Sharma, Difan Liu, Subhransu Maji, Evangelos Kalogerakis, Siddhartha Chaudhuri, Radomír Měch
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[DOI]
The Group Loss for Deep Metric Learning- Ismail Elezi, Sebastiano Vascon, Alessandro Torcinovich, Marcello Pelillo, Laura Leal-Taixé
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[DOI]
Learning Object Depth from Camera Motion and Video Object Segmentation- Brent A. Griffin, Jason J. Corso
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[DOI]
OnlineAugment: Online Data Augmentation with Less Domain Knowledge- Zhiqiang Tang, Yunhe Gao, Leonid Karlinsky, Prasanna Sattigeri, Rogerio Feris, Dimitris Metaxas
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[DOI]
Learning Pairwise Inter-Plane Relations for Piecewise Planar Reconstruction- Yiming Qian, Yasutaka Furukawa
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[DOI]
Intra-class Feature Variation Distillation for Semantic Segmentation- Yukang Wang, Wei Zhou, Tao Jiang, Xiang Bai, Yongchao Xu
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[DOI]
Temporal Distinct Representation Learning for Action Recognition- Junwu Weng, Donghao Luo, Yabiao Wang, Ying Tai, Chengjie Wang, Jilin Li, Feiyue Huang, Xudong Jiang, Junsong Yuan
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[DOI]
Representative Graph Neural Network- Changqian Yu, Yifan Liu, Changxin Gao, Chunhua Shen, Nong Sang
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[DOI]
Deformation-Aware 3D Model Embedding and Retrieval- Mikaela Angelina Uy, Jingwei Huang, Minhyuk Sung, Tolga Birdal, Leonidas Guibas
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[DOI]
Atlas: End-to-End 3D Scene Reconstruction from Posed Images- Zak Murez, Tarrence van As, James Bartolozzi, Ayan Sinha, Vijay Badrinarayanan, Andrew Rabinovich
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[DOI]
Multiple Class Novelty Detection Under Data Distribution Shift- Poojan Oza, Hien V. Nguyen, Vishal M. Patel
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[DOI]
Colorization of Depth Map via Disentanglement- Chung-Sheng Lai, Zunzhi You, Ching-Chun Huang, Yi-Hsuan Tsai, Wei-Chen Chiu
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[DOI]
Beyond Controlled Environments: 3D Camera Re-Localization in Changing Indoor Scenes- Johanna Wald, Torsten Sattler, Stuart Golodetz, Tommaso Cavallari, Federico Tombari
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[DOI]
GeoGraph: Graph-based multi-view object detection with geometric cues end-to-end- Ahmed Samy Nassar, Stefano D’Aronco, Sébastien Lefèvre, Jan D. Wegner
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[DOI]
Localizing the Common Action Among a Few Videos- Pengwan Yang, Vincent Tao Hu, Pascal Mettes, Cees G. M. Snoek
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[DOI]
TAFSSL: Task-Adaptive Feature Sub-Space Learning for few-shot classification- Moshe Lichtenstein, Prasanna Sattigeri, Rogerio Feris, Raja Giryes, Leonid Karlinsky
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[DOI]
Traffic Accident Benchmark for Causality Recognition- Tackgeun You, Bohyung Han
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[DOI]
Face Anti-Spoofing with Human Material Perception- Zitong Yu, Xiaobai Li, Xuesong Niu, Jingang Shi, Guoying Zhao
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[DOI]
How Can I See My Future? FvTraj: Using First-person View for Pedestrian Trajectory Prediction- Huikun Bi, Ruisi Zhang, Tianlu Mao, Zhigang Deng, Zhaoqi Wang
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[DOI]
Multiple Expert Brainstorming for Domain Adaptive Person Re-identification- Yunpeng Zhai, Qixiang Ye, Shijian Lu, Mengxi Jia, Rongrong Ji, Yonghong Tian
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[DOI]
NASA Neural Articulated Shape Approximation- Boyang Deng, JP Lewis, Timothy Jeruzalski, Gerard Pons-Moll, Geoffrey Hinton, Mohammad Norouzi, Andrea Tagliasacchi
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[DOI]
Towards Unique and Informative Captioning of Images- Zeyu Wang, Berthy Feng, Karthik Narasimhan, Olga Russakovsky
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[DOI]
When Does Self-supervision Improve Few-shot Learning?- Jong-Chyi Su, Subhransu Maji, Bharath Hariharan
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[DOI]
Two-branch Recurrent Network for Isolating Deepfakes in Videos- Iacopo Masi, Aditya Killekar, Royston Marian Mascarenhas, Shenoy Pratik Gurudatt, Wael AbdAlmageed
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[DOI]
Incremental Few-Shot Meta-Learning via Indirect Discriminant Alignment- Qing Liu, Orchid Majumder, Alessandro Achille, Avinash Ravichandran, Rahul Bhotika, Stefano Soatto
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[DOI]
BigNAS: Scaling Up Neural Architecture Search with Big Single-Stage Models- Jiahui Yu, Pengchong Jin, Hanxiao Liu, Gabriel Bender, Pieter-Jan Kindermans, Mingxing Tan, Thomas Huang, Xiaodan Song, Ruoming Pang, Quoc Le
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[DOI]
Differentiable Hierarchical Graph Grouping for Multi-Person Pose Estimation- Sheng Jin, Wentao Liu, Enze Xie, Wenhai Wang, Chen Qian, Wanli Ouyang, Ping Luo
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[DOI]
Global Distance-distributions Separation for Unsupervised Person Re-identification- Xin Jin, Cuiling Lan, Wenjun Zeng, Zhibo Chen
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[DOI]
I2L-MeshNet: Image-to-Lixel Prediction Network for Accurate 3D Human Pose and Mesh Estimation from a Single RGB Image- Gyeongsik Moon, Kyoung Mu Lee
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[DOI]
Pose2Mesh: Graph Convolutional Network for 3D Human Pose and Mesh Recovery from a 2D Human Pose- Hongsuk Choi, Gyeongsik Moon, Kyoung Mu Lee
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[DOI]
ALRe: Outlier Detection for Guided Refinement- Mingzhu Zhu, Zhang Gao, Junzhi Yu, Bingwei He, Jiantao Liu
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[DOI]
Weakly-Supervised Crowd Counting Learns from Sorting rather than Locations- Yifan Yang, Guorong Li, Zhe Wu, Li Su, Qingming Huang, Nicu Sebe
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[DOI]
Unsupervised Domain Attention Adaptation Network for Caricature Attribute Recognition- Wen Ji, Kelei He, Jing Huo, Zheng Gu, Yang Gao
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[DOI]
Many-shot from Low-shot: Learning to Annotate using Mixed Supervision for Object Detection- Carlo Biffi, Steven McDonagh, Philip Torr, Aleš Leonardis, Sarah Parisot
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[DOI]
Curriculum DeepSDF- Yueqi Duan, Haidong Zhu, He Wang, Li Yi Ram Nevatia, Leonidas J. Guibas
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[DOI]
Meshing Point Clouds with Predicted Intrinsic-Extrinsic Ratio Guidance- Minghua Liu, Xiaoshuai Zhang, Hao Su
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[DOI]
Improved Adversarial Training via Learned Optimizer- Yuanhao Xiong, Cho-Jui Hsieh
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[DOI]
Component Divide-and-Conquer for Real-World Image Super-Resolution- Pengxu Wei, Ziwei Xie, Hannan Lu, Zongyuan Zhan, Qixiang Ye, Wangmeng Zuo, Liang Lin
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[DOI]
Enabling Deep Residual Networks for Weakly Supervised Object Detection- Yunhang Shen, Rongrong Ji, Yan Wang, Zhiwei Chen, Feng Zheng, Feiyue Huang, Yunsheng Wu
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[DOI]
Deep near-light photometric stereo for spatially varying reflectances- Hiroaki Santo, Michael Waechter, Yasuyuki Matsushita
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[DOI]
Learning Visual Representations with Caption Annotations- Mert Bulent Sariyildiz, Julien Perez, Diane Larlus
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[DOI]
Solving Long-tailed Recognition with Deep Realistic Taxonomic Classifier- Tz-Ying Wu, Pedro Morgado, Pei Wang, Chih-Hui Ho, Nuno Vasconcelos
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[DOI]
Regression of Instance Boundary by Aggregated CNN and GCN- Yanda Meng, Wei Meng, Dongxu Gao, Yitian Zhao, Xiaoyun Yang, Xiaowei Huang, Yalin Zheng
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[DOI]
Social Adaptive Module for Weakly-supervised Group Activity Recognition- Rui Yan, Lingxi Xie, Jinhui Tang, Xiangbo Shu, Qi Tian
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[DOI]
RGB-D Salient Object Detection with Cross-Modality Modulation and Selection- Chongyi Li, Runmin Cong, Yongri Piao, Qianqian Xu, Chen Change Loy
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[DOI]
RetrieveGAN: Image Synthesis via Differentiable Patch Retrieval- Hung-Yu Tseng, Hsin-Ying Lee, Lu Jiang, Ming-Hsuan Yang, Weilong Yang
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[DOI]
Cheaper Pre-training Lunch: An Efficient Paradigm for Object Detection- Dongzhan Zhou, Xinchi Zhou, Hongwen Zhang, Shuai Yi, Wanli Ouyang
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[DOI]
Faster Person Re-Identification- Guan’an Wang, Shaogang Gong, Jian Cheng, Zengguang Hou
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[DOI]
Quantization Guided JPEG Artifact Correction- Max Ehrlich, Ser-Nam Lim, Larry Davis, Abhinav Shrivastava
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[DOI]
3PointTM: Faster Measurement of High-Dimensional Transmission Matrices- Yujun Chen, Manoj Kumar Sharma, Ashutosh Sabharwal, Ashok Veeraraghavan, Aswin C. Sankaranarayanan
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[DOI]
Joint Bilateral Learning for Real-time Universal Photorealistic Style Transfer- Xide Xia, Meng Zhang, Tianfan Xue, Zheng Sun, Hui Fang, Brian Kulis , Jiawen Chen
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[DOI]
Beyond 3DMM Space: Towards Fine-grained 3D Face Reconstruction- Xiangyu Zhu, Fan Yang, Di Huang, Chang Yu, Hao Wang, Jianzhu Guo, Zhen Lei, Stan Z. Li
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[DOI]
World-Consistent Video-to-Video Synthesis- Arun Mallya, Ting-Chun Wang, Karan Sapra, Ming-Yu Liu
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[DOI]
Commonality-Parsing Network across Shape and Appearance for Partially Supervised Instance Segmentation- Qi Fan, Lei Ke, Wenjie Pei, Chi-Keung Tang, Yu-Wing Tai
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[DOI]
GMNet: Graph Matching Network for Large Scale Part Semantic Segmentation in the Wild- Umberto Michieli, Edoardo Borsato, Luca Rossi, Pietro Zanuttigh
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[DOI]
Event-based Asynchronous Sparse Convolutional Networks- Nico Messikommer, Daniel Gehrig, Antonio Loquercio, Davide Scaramuzza
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[DOI]
AtlantaNet: Inferring the 3D Indoor Layout from a Single 360(∘) Image beyond the Manhattan World Assumption- Giovanni Pintore, Marco Agus, Enrico Gobbetti
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[DOI]
AttentionNAS: Spatiotemporal Attention Cell Search for Video Classification- Xiaofang Wang, Xuehan Xiong, Maxim Neumann, AJ Piergiovanni, Michael S. Ryoo, Anelia Angelova, Kris M. Kitani, Wei Hua
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[DOI]
REMIND Your Neural Network to Prevent Catastrophic Forgetting- Tyler L. Hayes, Kushal Kafle, Robik Shrestha, Manoj Acharya, Christopher Kanan
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[DOI]
Image Classification in the Dark using Quanta Image Sensors- Abhiram Gnanasambandam, Stanley H. Chan
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[DOI]
n-Reference Transfer Learning for Saliency Prediction- Yan Luo, Yongkang Wong, Mohan S. Kankanhalli, Qi Zhao
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[DOI]
Progressively Guided Alternate Refinement Network for RGB-D Salient Object Detection- Shuhan Chen, Yun Fu
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[DOI]
Bottom-Up Temporal Action Localization with Mutual Regularization- Peisen Zhao, Lingxi Xie, Chen Ju, Ya Zhang, Yanfeng Wang, Qi Tian
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[DOI]
On Modulating the Gradient for Meta-Learning- Christian Simon, Piotr Koniusz, Richard Nock, Mehrtash Harandi
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[DOI]
Domain-Specific Mappings for Generative Adversarial Style Transfer- Hsin-Yu Chang, Zhixiang Wang, Yung-Yu Chuang
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[DOI]
DiVA: Diverse Visual Feature Aggregation for Deep Metric Learning- Timo Milbich, Karsten Roth, Homanga Bharadhwaj, Samarth Sinha, Yoshua Bengio, Björn Ommer, Joseph Paul Cohen
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[DOI]
DHP: Differentiable Meta Pruning via HyperNetworks- Yawei Li, Shuhang Gu, Kai Zhang, Luc Van Gool, Radu Timofte
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[DOI]
Deep Transferring Quantization- Zheng Xie, Zhiquan Wen, Jing Liu, Zhiqiang Liu, Xixian Wu, Mingkui Tan
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[DOI]
Deep Credible Metric Learning for Unsupervised Domain Adaptation Person Re-identification- Guangyi Chen, Yuhao Lu, Jiwen Lu, Jie Zhou
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[DOI]
Temporal Coherence or Temporal Motion: Which is More Critical for Video-based Person Re-identification?- Guangyi Chen, Yongming Rao, Jiwen Lu, Jie Zhou
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[DOI]
Arbitrary-Oriented Object Detection with Circular Smooth Label- Xue Yang, Junchi Yan
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[DOI]
Learning Event-Driven Video Deblurring and Interpolation- Songnan Lin, Jiawei Zhang, Jinshan Pan, Zhe Jiang, Dongqing Zou, Yongtian Wang, Jing Chen, Jimmy Ren
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[DOI]
Vectorizing World Buildings: Planar Graph Reconstruction by Primitive Detection and Relationship Inference- Nelson Nauata, Yasutaka Furukawa
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[DOI]
Learning to Combine: Knowledge Aggregation for Multi-Source Domain Adaptation- Hang Wang, Minghao Xu, Bingbing Ni, Wenjun Zhang
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[DOI]
CSCL: Critical Semantic-Consistent Learning for Unsupervised Domain Adaptation- Jiahua Dong, Yang Cong, Gan Sun, Yuyang Liu, Xiaowei Xu
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[DOI]
Prototype Mixture Models for Few-shot Semantic Segmentation- Boyu Yang, Chang Liu, Bohao Li, Jianbin Jiao, Qixiang Ye
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[DOI]
Webly Supervised Image Classification with Self-Contained Confidence- Jingkang Yang, Litong Feng, Weirong Chen, Xiaopeng Yan, Huabin Zheng , Ping Luo, Wayne Zhang
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[DOI]
Search What You Want: Barrier Panelty NAS for Mixed Precision Quantization- Haibao Yu, Qi Han, Jianbo Li, Jianping Shi, Guangliang Cheng, Bin Fan
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[DOI]
Monocular 3D Object Detection via Feature Domain Adaptation- Xiaoqing Ye, Liang Du, Yifeng Shi, Yingying Li, Xiao Tan, Jianfeng Feng, Errui Ding, Shilei Wen
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[DOI]
Talking-head Generation with Rhythmic Head Motion- Lele Chen, Guofeng Cui, Celong Liu, Zhong Li, Ziyi Kou, Yi Xu, Chenliang Xu
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[DOI]
AUTO3D: Novel view synthesis through unsupervisely learned variational viewpoint and global 3D representation- Xiaofeng Liu, Tong Che, Yiqun Lu, Chao Yang, Site Li, Jane You
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[DOI]
VPN: Learning Video-Pose Embedding for Activities of Daily Living- Srijan Das, Saurav Sharma, Rui Dai, François Brémond, Monique Thonnat
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[DOI]
Soft Anchor-Point Object Detection- Chenchen Zhu, Fangyi Chen, Zhiqiang Shen, Marios Savvides
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[DOI]
Beyond Fixed Grid: Learning Geometric Image Representation with a Deformable Grid- Jun Gao, Zian Wang, Jinchen Xuan, Sanja Fidler
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[DOI]
Soft Expert Reward Learning for Vision-and-Language Navigation- Hu Wang, Qi Wu, Chunhua Shen
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[DOI]
Part-aware Prototype Network for Few-shot Semantic Segmentation- Yongfei Liu, Xiangyi Zhang, Songyang Zhang, Xuming He
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[DOI]
Learning from Extrinsic and Intrinsic Supervisions for Domain Generalization- Shujun Wang, Lequan Yu, Caizi Li, Chi-Wing Fu, Pheng-Ann Heng
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[DOI]
Joint Learning of Social Groups, Individuals Action and Sub-group Activities in Videos- Mahsa Ehsanpour, Alireza Abedin, Fatemeh Saleh, Javen Shi, Ian Reid , Hamid Rezatofighi
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[DOI]
Whole-Body Human Pose Estimation in the Wild- Sheng Jin, Lumin Xu, Jin Xu, Can Wang, Wentao Liu, Chen Qian, Wanli Ouyang, Ping Luo
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[DOI]
Relative Pose Estimation of Calibrated Cameras with Known SE(3) Invariants- Bo Li, Evgeniy Martyushev, Gim Hee Lee
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[DOI]
Sequential Convolution and Runge-Kutta Residual Architecture for Image Compressed Sensing- Runkai Zheng, Yinqi Zhang, Daolang Huang, Qingliang Chen
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[DOI]
Deep Hough Transform for Semantic Line Detection- Qi Han, Kai Zhao, Jun Xu, Ming-Ming Cheng
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[DOI]
Structured Landmark Detection via Topology-Adapting Deep Graph Learning- Weijian Li, Yuhang Lu, Kang Zheng, Haofu Liao, Chihung Lin, Jiebo Luo, Chi-Tung Cheng, Jing Xiao, Le Lu, Chang-Fu Kuo, Shun Miao
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[DOI]
3D Human Shape and Pose from a Single Low-Resolution Image with Self-Supervised Learning- Xiangyu Xu, Hao Chen, Francesc Moreno-Noguer, László A. Jeni, Fernando De la Torre
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[DOI]
Learning to Balance Specificity and Invariance for In and Out of Domain Generalization- Prithvijit Chattopadhyay, Yogesh Balaji, Judy Hoffman
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[DOI]
Contrastive Learning for Unpaired Image-to-Image Translation- Taesung Park Alexei A. Efros Richard Zhang Jun-Yan Zhu
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[DOI]
DLow: Diversifying Latent Flows for Diverse Human Motion Prediction- Ye Yuan, Kris Kitani
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[DOI]
GRNet: Gridding Residual Network for Dense Point Cloud Completion- Haozhe Xie, Hongxun Yao, Shangchen Zhou, Jiageng Mao, Shengping Zhang, Wenxiu Sun
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[DOI]
Gait Lateral Network: Learning Discriminative and Compact Representations for Gait Recognition- Saihui Hou, Chunshui Cao, Xu Liu, Yongzhen Huang
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[DOI]
Blind Face Restoration via Deep Multi-scale Component Dictionaries- Xiaoming Li, Chaofeng Chen, Shangchen Zhou, Xianhui Lin, Wangmeng Zuo, Lei Zhang
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[DOI]
Robust Neural Networks inspired by Strong Stability Preserving Runge-Kutta methods- Byungjoo Kim, Bryce Chudomelka, Jinyoung Park, Jaewoo Kang, Youngjoon Hong, Hyunwoo J. Kim
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[DOI]
Inequality-Constrained and Robust 3D Face Model Fitting- Evangelos Sariyanidi, Casey J. Zampella, Robert T. Schultz, Birkan Tunc
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[DOI]
Gabor Layers Enhance Network Robustness- Juan C. Pérez, Motasem Alfarra, Guillaume Jeanneret, Adel Bibi, Ali Thabet, Bernard Ghanem, Pablo Arbeláez
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[DOI]
Conditional Image Repainting via Semantic Bridge and Piecewise Value Function- Shuchen Weng, Wenbo Li, Dawei Li, Hongxia Jin, Boxin Shi
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[DOI]
Learnable Cost Volume Using the Cayley Representation- Taihong Xiao, Jinwei Yuan, Deqing Sun, Qifei Wang Xin-Yu Zhang, Kehan Xu, Ming-Hsuan Yang
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[DOI]
HALO: Hardware-Aware Learning to Optimize- Chaojian Li, Tianlong Chen, Haoran You, Zhangyang Wang, Yingyan Lin
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[DOI]
Structured3D: A Large Photo-realistic Dataset for Structured 3D Modeling- Jia Zheng, Junfei Zhang, Jing Li, Rui Tang, Shenghua Gao, Zihan Zhou
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[DOI]
BroadFace: Looking at Tens of Thousands of People at Once for Face Recognition- Yonghyun Kim, Wonpyo Park, Jongju Shin
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[DOI]
Interpretable Visual Reasoning via Probabilistic Formulation under Natural Supervision- Xinzhe Han, Shuhui Wang, Chi Su, Weigang Zhang, Qingming Huang, Qi Tian
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[DOI]
Domain Adaptive Semantic Segmentation Using Weak Labels- Sujoy Paul, Yi-Hsuan Tsai, Samuel Schulter, Amit K. Roy-Chowdhury, Manmohan Chandraker
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[DOI]
Knowledge Distillation Meets Self-Supervision- Guodong Xu, Ziwei Liu, Xiaoxiao Li, Chen Change Loy
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[DOI]
Efficient Neighbourhood Consensus Networks via Submanifold Sparse Convolutions- Ignacio Rocco, Relja Arandjelović, Josef Sivic
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[DOI]
Reconstructing the Noise Variance Manifold for Image Denoising- Ioannis Marras, Grigorios G. Chrysos, Ioannis Alexiou, Gregory Slabaugh, Stefanos Zafeiriou
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[DOI]
Occlusion-Aware Depth Estimation with Adaptive Normal Constraints- Xiaoxiao Long, Lingjie Liu, Christian Theobalt, Wenping Wang
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[DOI]
VisualEchoes: Spatial Image Representation Learning through Echolocation- Ruohan Gao, Changan Chen, Ziad Al-Halah, Carl Schissler, Kristen Grauman
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[DOI]
Smooth-AP: Smoothing the Path Towards Large-Scale Image Retrieval- Andrew Brown, Weidi Xie, Vicky Kalogeiton, Andrew Zisserman
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[DOI]
Naive-Student: Leveraging Semi-Supervised Learning in Video Sequences for Urban Scene Segmentation- Liang-Chieh Chen, Raphael Gontijo Lopes, Bowen Cheng, Maxwell D. Collins, Ekin D. Cubuk, Barret Zoph, Hartwig Adam, Jonathon Shlens
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[DOI]
Spatially Aware Multimodal Transformers for TextVQA- Yash Kant, Dhruv Batra, Peter Anderson, Alexander Schwing, Devi Parikh, Jiasen Lu, Harsh Agrawal
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[DOI]
Every Pixel Matters: Center-aware Feature Alignment for Domain Adaptive Object Detector- Cheng-Chun Hsu, Yi-Hsuan Tsai, Yen-Yu Lin, Ming-Hsuan Yang
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[DOI]
URIE: Universal Image Enhancement for Visual Recognition in the Wild- Taeyoung Son Juwon Kang Namyup Kim Sunghyun Cho Suha Kwak
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[DOI]
Pyramid Multi-view Stereo Net with Self-adaptive View Aggregation- Hongwei Yi, Zizhuang Wei, Mingyu Ding, Runze Zhang, Yisong Chen, Guoping Wang, Yu-Wing Tai
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[DOI]
SPL-MLL: Selecting Predictable Landmarks for Multi-Label Learning- Junbing Li, Changqing Zhang, Pengfei Zhu, Baoyuan Wu, Lei Chen, Qinghua Hu
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[DOI]
Unpaired Image-to-Image Translation using Adversarial Consistency Loss- Yihao Zhao, Ruihai Wu, Hao Dong
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[DOI]
Discriminability Distillation in Group Representation Learning- Manyuan Zhang, Guanglu Song, Hang Zhou, Yu Liu
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[DOI]
Monocular Expressive Body Regression through Body-Driven Attention- Vasileios Choutas, Georgios Pavlakos, Timo Bolkart, Dimitrios Tzionas , Michael J. Black
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[DOI]
Dual Adversarial Network: Toward Real-world Noise Removal and Noise Generation- Zongsheng Yue, Qian Zhao, Lei Zhang, Deyu Meng
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[DOI]
Linguistic Structure Guided Context Modeling for Referring Image Segmentation- Tianrui Hui, Si Liu, Shaofei Huang, Guanbin Li, Sansi Yu, Faxi Zhang, Jizhong Han
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[DOI]
Federated Visual Classification with Real-World Data Distribution- Tzu-Ming Harry Hsu, Hang Qi, Matthew Brown
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[DOI]
Robust Re-Identification by Multiple Views Knowledge Distillation- Angelo Porrello, Luca Bergamini, Simone Calderara
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[DOI]
Defocus Deblurring Using Dual-Pixel Data- Abdullah Abuolaim, Michael S. Brown
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[DOI]
RhyRNN: Rhythmic RNN for Recognizing Events in Long and Complex Videos- Tianshu Yu, Yikang Li, Baoxin Li
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[DOI]
Take an Emotion Walk: Perceiving Emotions from Gaits Using Hierarchical Attention Pooling and Affective Mapping- Uttaran Bhattacharya, Christian Roncal, Trisha Mittal, Rohan Chandra , Kyra Kapsaskis, Kurt Gray, Aniket Bera, Dinesh Manocha
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[DOI]
Weighing Counts: Sequential Crowd Counting by Reinforcement Learning- Liang Liu, Hao Lu, Hongwei Zou, Haipeng Xiong, Zhiguo Cao, Chunhua Shen
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[DOI]
Reflection Backdoor: A Natural Backdoor Attack on Deep Neural Networks- Yunfei Liu, Xingjun Ma, James Bailey, Feng Lu
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[DOI]
Learning to Learn with Variational Information Bottleneck for Domain Generalization- Yingjun Du, Jun Xu, Huan Xiong, Qiang Qiu, Xiantong Zhen, Cees G. M. Snoek, Ling Shao
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[DOI]
Deep Positional and Relational Feature Learning for Rotation-Invariant Point Cloud Analysis- Ruixuan Yu, Xin Wei, Federico Tombari, Jian Sun
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[DOI]
Thanks for Nothing: Predicting Zero-Valued Activations with Lightweight Convolutional Neural Networks- Gil Shomron, Ron Banner, Moran Shkolnik, Uri Weiser
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[DOI]
Layered Neighborhood Expansion for Incremental Multiple Graph Matching- Zixuan Chen, Zhihui Xie, Junchi Yan Yinqiang Zheng, Xiaokang Yang
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[DOI]
SCAN: Learning to Classify Images without Labels- Wouter Van Gansbeke, Simon Vandenhende, Stamatios Georgoulis, Marc Proesmans, Luc Van Gool
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[DOI]
Graph convolutional networks for learning with few clean and many noisy labels- Ahmet Iscen, Giorgos Tolias, Yannis Avrithis, Ondřej Chum, Cordelia Schmid
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[DOI]
Object-and-Action Aware Model for Visual Language Navigation- Yuankai Qi, Zizheng Pan, Shengping Zhang, Anton van den Hengel, Qi Wu
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[DOI]
A Comprehensive Study of Weight Sharing in Graph Networks for 3D Human Pose Estimation- Kenkun Liu, Rongqi Ding, Zhiming Zou, Le Wang, Wei Tang
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[DOI]
MuCAN: Multi-Correspondence Aggregation Network for Video Super-Resolution- Wenbo Li, Xin Tao, Taian Guo, Lu Qi, Jiangbo Lu, Jiaya Jia
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[DOI]
Efficient Semantic Video Segmentation with Per-frame Inference- Yifan Liu, Chunhua Shen, Changqian Yu, Jingdong Wang
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[DOI]
Increasing the Robustness of Semantic Segmentation Models with Painting-by-Numbers- Christoph Kamann, Carsten Rother
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[DOI]
Deep Spiking Neural Network: Energy Efficiency Through Time based Coding- Bing Han, Kaushik Roy
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[DOI]
InfoFocus: 3D Object Detection for Autonomous Driving with Dynamic Information Modeling- Jun Wang, Shiyi Lan, Mingfei Gao, Larry S. Davis
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[DOI]
Utilizing Patch-level Category Activation Patterns for Multiple Class Novelty Detection- Poojan Oza, Vishal M. Patel
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[DOI]
People as Scene Probes- Yifan Wang, Brian L. Curless, Steven M. Seitz
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[DOI]
Mapping in a Cycle: Sinkhorn Regularized Unsupervised Learning for Point Cloud Shapes- Lei Yang, Wenxi Liu, Zhiming Cui, Nenglun Chen, Wenping Wang
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[DOI]
Label-Efficient Learning on Point Clouds using Approximate Convex Decompositions- Matheus Gadelha, Aruni RoyChowdhury, Gopal Sharma, Evangelos Kalogerakis, Liangliang Cao, Erik Learned-Miller, Rui Wang, Subhransu Maji
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[DOI]
TexMesh: Reconstructing Detailed Human Texture and Geometry from RGB-D Video- Tiancheng Zhi, Christoph Lassner, Tony Tung, Carsten Stoll, Srinivasa G. Narasimhan, Minh Vo
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Consistency-based Semi-supervised Active Learning: Towards Minimizing Labeling Cost- Mingfei Gao, Zizhao Zhang, Guo Yu, Sercan . Arık, Larry S. Davis, Tomas Pfister
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[DOI]
Point-Set Anchors for Object Detection, Instance Segmentation and Pose Estimation- Fangyun Wei, Xiao Sun, Hongyang Li, Jingdong Wang, Stephen Lin
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[DOI]
Modeling 3D Shapes by Reinforcement Learning- Cheng Lin, Tingxiang Fan, Wenping Wang, Matthias Nießner
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[DOI]
LST-Net: Learning a Convolutional Neural Network with a Learnable Sparse Transform- Lida Li, Kun Wang, Shuai Li, Xiangchu Feng, Lei Zhang
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[DOI]
Learning What Makes a Difference from Counterfactual Examples and Gradient Supervision- Damien Teney, Ehsan Abbasnedjad, Anton van den Hengel
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[DOI]
CN: Channel Normalization For Point Cloud Recognition- Zetong Yang, Yanan Sun, Shu Liu, Xiaojuan Qi, Jiaya Jia
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[DOI]
Rethinking the Defocus Blur Detection Problem and A Real-Time Deep DBD Model- Ning Zhang, Junchi Yan
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[DOI]
AutoMix: Mixup Networks for Sample Interpolation via Cooperative Barycenter Learning- Jianchao Zhu, Liangliang Shi, Junchi Yan, Hongyuan Zha
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[DOI]
Scene Text Image Super-resolution in the wild- Wenjia Wang, Enze Xie, Xuebo Liu, Wenhai Wang, Ding Liang, Chunhua Shen, Xiang Bai
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[DOI]
Coupling Explicit and Implicit Surface Representations for Generative 3D Modeling- Omid Poursaeed, Matthew Fisher, Noam Aigerman, Vladimir G. Kim
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[DOI]
Learning Disentangled Representations with Latent Variation Predictability- Xinqi Zhu, Chang Xu, Dacheng Tao
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[DOI]
Deep Space-Time Video Upsampling Networks- Jaeyeon Kang, Younghyun Jo, Seoung Wug Oh, Peter Vajda, Seon Joo Kim
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[DOI]
Large-Scale Few-Shot Learning via Multi-Modal Knowledge Discovery- Shuo Wang, Jun Yue, Jianzhuang Liu, Qi Tian, Meng Wang
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[DOI]
Fast Video Object Segmentation using the Global Context Module- Yu Li, Zhuoran Shen, Ying Shan
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[DOI]
Uncertainty-Aware Weakly Supervised Action Detection from Untrimmed Videos- Anurag Arnab, Chen Sun, Arsha Nagrani, Cordelia Schmid
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[DOI]
Selecting Relevant Features from a Multi-domain Representation for Few-shot Classification- Nikita Dvornik, Cordelia Schmid, Julien Mairal
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[DOI]
MessyTable: Instance Association in Multiple Camera Views- Zhongang Cai, Junzhe Zhang, Daxuan Ren, Cunjun Yu, Haiyu Zhao, Shuai Yi, Chai Kiat Yeo, Chen Change Loy
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[DOI]
A Unified Framework for Shot Type Classification Based on Subject Centric Lens- Anyi Rao, Jiaze Wang, Linning Xu, Xuekun Jiang, Qingqiu Huang, Bolei Zhou, Dahua Lin
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[DOI]
BSL-1K: Scaling up co-articulated sign language recognition using mouthing cues- Samuel Albanie, Gül Varol, Liliane Momeni, Triantafyllos Afouras, Joon Son Chung, Neil Fox, Andrew Zisserman
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[DOI]
HTML: A Parametric Hand Texture Model for 3D Hand Reconstruction and Personalization- Neng Qian, Jiayi Wang, Franziska Mueller, Florian Bernard, Vladislav Golyanik, Christian Theobalt
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[DOI]
CycAs: Self-supervised Cycle Association for Learning Re-identifiable Descriptions- Zhongdao Wang, Jingwei Zhang, Liang Zheng, Yixuan Liu, Yifan Sun, Yali Li, Shengjin Wang
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[DOI]
Open-Edit: Open-Domain Image Manipulation with Open-Vocabulary Instructions- Xihui Liu, Zhe Lin, Jianming Zhang, Handong Zhao, Quan Tran, Xiaogang Wang, Hongsheng Li
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[DOI]
Towards Real-Time Multi-Object Tracking- Zhongdao Wang, Liang Zheng, Yixuan Liu, Yali Li, Shengjin Wang
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[DOI]
A Balanced and Uncertainty-aware Approach for Partial Domain Adaptation- Jian Liang, Yunbo Wang, Dapeng Hu, Ran He, Jiashi Feng
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[DOI]
Unsupervised Deep Metric Learning with Transformed Attention Consistency and Contrastive Clustering Loss- Yang Li, Shichao Kan, Zhihai He
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[DOI]
STEm-Seg: Spatio-temporal Embeddings for Instance Segmentation in Videos- Ali Athar, Sabarinath Mahadevan, Aljosa Osep, Laura Leal-Taixé, Bastian Leibe
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[DOI]
Hierarchical Style-based Networks for Motion Synthesis- Jingwei Xu, Huazhe Xu, Bingbing Ni, Xiaokang Yang, Xiaolong Wang, Trevor Darrell
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[DOI]
Who Left the Dogs Out? 3D Animal Reconstruction with Expectation Maximization in the Loop- Benjamin Biggs, Oliver Boyne, James Charles, Andrew Fitzgibbon, Roberto Cipolla
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[DOI]
Learning to Count in the Crowd from Limited Labeled Data- Vishwanath A. Sindagi, Rajeev Yasarla, Deepak Sam Babu, R. Venkatesh Babu, Vishal M. Patel
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[DOI]
SPOT: Selective Point Cloud Voting for Better Proposal in Point Cloud Object Detection- Hongyuan Du, Linjun Li, Bo Liu, Nuno Vasconcelos
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[DOI]
Explainable Face Recognition- Jonathan R. Williford, Brandon B. May, Jeffrey Byrne
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[DOI]
From Shadow Segmentation to Shadow Removal- Hieu Le, Dimitris Samaras
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[DOI]
Diverse and Admissible Trajectory Prediction through Multimodal Context Understanding- Seong Hyeon Park, Gyubok Lee, Jimin Seo, Manoj Bhat, Minseok Kang, Jonathan Francis, Ashwin Jadhav, Paul Pu Liang, Louis-Philippe Morency
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[DOI]
CONFIG: Controllable Neural Face Image Generation- Marek Kowalski, Stephan J. Garbin, Virginia Estellers, Tadas Baltrušaitis, Matthew Johnson, Jamie Shotton
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[DOI]
Single View Metrology in the Wild- Rui Zhu, Xingyi Yang, Yannick Hold-Geoffroy, Federico Perazzi, Jonathan Eisenmann, Kalyan Sunkavalli, Manmohan Chandraker
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[DOI]
Procedure Planning in Instructional Videos- Chien-Yi Chang, De-An Huang, Danfei Xu, Ehsan Adeli, Li Fei-Fei, Juan Carlos Niebles
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[DOI]
Funnel Activation for Visual Recognition- Ningning Ma, Xiangyu Zhang, Jian Sun
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[DOI]
GIQA: Generated Image Quality Assessment- Shuyang Gu, Jianmin Bao, Dong Chen, Fang Wen
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[DOI]
Adversarial Continual Learning- Sayna Ebrahimi, Franziska Meier, Roberto Calandra, Trevor Darrell, Marcus Rohrbach
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[DOI]
Adapting Object Detectors with Conditional Domain Normalization- Peng Su, Kun Wang, Xingyu Zeng, Shixiang Tang, Dapeng Chen, Di Qiu , Xiaogang Wang
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[DOI]
HARD-Net: Hardness-AwaRe Discrimination Network for 3D Early Activity Prediction- Tianjiao Li, Jun Liu, Wei Zhang, Lingyu Duan
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[DOI]
Pseudo RGB-D for Self-Improving Monocular SLAM and Depth Prediction- Lokender Tiwari, Pan Ji, Quoc-Huy Tran, Bingbing Zhuang, Saket Anand , Manmohan Chandraker
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[DOI]
Interpretable and Generalizable Person Re-Identification with Query-Adaptive Convolution and Temporal Lifting- Shengcai Liao, Ling Shao
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[DOI]
Self-supervised Bayesian Deep Learning for Image Recovery with Applications to Compressive Sensing- Tongyao Pang, Yuhui Quan, Hui Ji
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[DOI]
Graph-PCNN: Two Stage Human Pose Estimation with Graph Pose Refinement- Jian Wang, Xiang Long, Yuan Gao, Errui Ding, Shilei Wen
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[DOI]
Semi-supervised Learning with a Teacher-student Network for Generalized Attribute Prediction- Minchul Shin
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[DOI]
Unsupervised Domain Adaptation with Noise Resistible Mutual-Training for Person Re-identification- Fang Zhao, Shengcai Liao, Guo-Sen Xie, Jian Zhao, Kaihao Zhang, Ling Shao
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[DOI]
DPDist: Comparing Point Clouds Using Deep Point Cloud Distance- Dahlia Urbach, Yizhak Ben-Shabat, Michael Lindenbaum
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[DOI]
Bi-directional Cross-Modality Feature Propagation with Separation-and-Aggregation Gate for RGB-D Semantic Segmentation- Xiaokang Chen, Kwan-Yee Lin, Jingbo Wang, Wayne Wu, Chen Qian, Hongsheng Li, Gang Zeng
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[DOI]
DataMix: Efficient Privacy-Preserving Edge-Cloud Inference- Zhijian Liu, Zhanghao Wu, Chuang Gan, Ligeng Zhu, Song Han
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[DOI]
Neural Re-Rendering of Humans from a Single Image- Kripasindhu Sarkar, Dushyant Mehta, Weipeng Xu, Vladislav Golyanik, Christian Theobalt
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[DOI]
Reversing the cycle: self-supervised deep stereo through enhanced monocular distillation- Filippo Aleotti, Fabio Tosi, Li Zhang, Matteo Poggi, Stefano Mattoccia
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[DOI]
PIPAL: a Large-Scale Image Quality Assessment Dataset for Perceptual Image Restoration- Jinjin Gu, Haoming Cai, Haoyu Chen, Xiaoxing Ye, Jimmy S. Ren, Chao Dong
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[DOI]
Why do These Match? Explaining the Behavior of Image Similarity Models- Bryan A. Plummer, Mariya I. Vasileva, Vitali Petsiuk, Kate Saenko, David Forsyth
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[DOI]
CooGAN: A Memory-Efficient Framework for High-Resolution Facial Attribute Editing- Xuanhong Chen, Bingbing Ni, Naiyuan Liu, Ziang Liu, Yiliu Jiang, Loc Truong, Qi Tian
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[DOI]
Progressive Transformers for End-to-End Sign Language Production- Ben Saunders, Necati Cihan Camgoz, Richard Bowden
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[DOI]
Mask TextSpotter v3: Segmentation Proposal Network for Robust Scene Text Spotting- Minghui Liao, Guan Pang, Jing Huang, Tal Hassner, Xiang Bai
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[DOI]
Making Affine Correspondences Work in Camera Geometry Computation- Daniel Barath, Michal Polic, Wolfgang Förstner, Torsten Sattler, Tomas Pajdla, Zuzana Kukelova
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[DOI]
Sub-center ArcFace: Boosting Face Recognition by Large-scale Noisy Web Faces- Jiankang Deng, Jia Guo, Tongliang Liu, Mingming Gong, Stefanos Zafeiriou
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[DOI]
Foley Music: Learning to Generate Music from Videos- Chuang Gan, Deng Huang, Peihao Chen, Joshua B. Tenenbaum, Antonio Torralba
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[DOI]
Contrastive Multiview Coding- Yonglong Tian, Dilip Krishnan, Phillip Isola
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[DOI]
Regional Homogeneity: Towards Learning Transferable Universal Adversarial Perturbations Against Defenses- Yingwei Li, Song Bai, Cihang Xie, Zhenyu Liao, Xiaohui Shen, Alan Yuille
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[DOI]
Generative Low-bitwidth Data Free Quantization- Shoukai Xu, Haokun Li, Bohan Zhuang, Jing Liu, Jiezhang Cao, Chuangrun Liang, Mingkui Tan
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[DOI]
Local Correlation Consistency for Knowledge Distillation- Xiaojie Li, Jianlong Wu, Hongyu Fang, Yue Liao, Fei Wang, Chen Qian
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[DOI]
Perceiving 3D Human-Object Spatial Arrangements from a Single Image in the Wild- Jason Y. Zhang, Sam Pepose, Hanbyul Joo, Deva Ramanan, Jitendra Malik, Angjoo Kanazawa
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[DOI]
Sep-Stereo: Visually Guided Stereophonic Audio Generation by Associating Source Separation- Hang Zhou, Xudong Xu, Dahua Lin, Xiaogang Wang, Ziwei Liu
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[DOI]
CelebA-Spoof: Large-Scale Face Anti-Spoofing Dataset with Rich Annotations- Yuanhan Zhang, ZhenFei Yin, Yidong Li, Guojun Yin, Junjie Yan, Jing Shao, Ziwei Liu
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[DOI]
Thinking in Frequency: Face Forgery Detection by Mining Frequency-aware Clues- Yuyang Qian, Guojun Yin, Lu Sheng, Zixuan Chen, Jing Shao
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[DOI]
Weakly-Supervised Cell Tracking via Backward-and-Forward Propagation- Kazuya Nishimura, Junya Hayashida, Chenyang Wang, Dai Fei Elmer Ker, Ryoma Bise
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[DOI]
SeqHAND: RGB-Sequence-Based 3D Hand Pose and Shape Estimation- John Yang, Hyung Jin Chang, Seungeui Lee, Nojun Kwak
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[DOI]
Rethinking the Distribution Gap of Person Re-identification with Camera-based Batch Normalization- Zijie Zhuang, Longhui Wei, Lingxi Xie, Tianyu Zhang, Hengheng Zhang , Haozhe Wu, Haizhou Ai, Qi Tian
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[DOI]
AMLN: Adversarial-based Mutual Learning Network for Online Knowledge Distillation- Xiaobing Zhang, Shijian Lu, Haigang Gong, Zhipeng Luo, Ming Liu
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[DOI]
Online Multi-modal Person Search in Videos- Jiangyue Xia, Anyi Rao, Qingqiu Huang, Linning Xu, Jiangtao Wen, Dahua Lin
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[DOI]
Single Image Super-Resolution via a Holistic Attention Network- Ben Niu, Weilei Wen, Wenqi Ren, Xiangde Zhang, Lianping Yang, Shuzhen Wang, Kaihao Zhang, Xiaochun Cao, Haifeng Shen
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[DOI]
Can You Read Me Now? Content Aware Rectification using Angle Supervision- Amir Markovitz, Inbal Lavi, Or Perel, Shai Mazor, Roee Litman
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[DOI]
Momentum Batch Normalization for Deep Learning with Small Batch Size- Hongwei Yong, Jianqiang Huang, Deyu Meng, Xiansheng Hua, Lei Zhang
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[DOI]
AdvPC: Transferable Adversarial Perturbations on 3D Point Clouds- Abdullah Hamdi, Sara Rojas, Ali Thabet, Bernard Ghanem
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[DOI]
Edge-aware Graph Representation Learning and Reasoning for Face Parsing- Gusi Te, Yinglu Liu, Wei Hu, Hailin Shi, Tao Mei
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[DOI]
BBS-Net: RGB-D Salient Object Detection with a Bifurcated Backbone Strategy Network- Deng-Ping Fan, Yingjie Zhai, Ali Borji, Jufeng Yang, Ling Shao
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[DOI]
G-LBM:Generative Low-dimensional Background Model Estimation from Video Sequences- Behnaz Rezaei, Amirreza Farnoosh, Sarah Ostadabbas
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[DOI]
H3DNet: 3D Object Detection Using Hybrid Geometric Primitives- Zaiwei Zhang, Bo Sun, Haitao Yang, Qixing Huang
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[DOI]
Expressive Telepresence via Modular Codec Avatars- Hang Chu, Shugao Ma, Fernando De la Torre, Sanja Fidler, Yaser Sheikh
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[DOI]
Cascade Graph Neural Networks for RGB-D Salient Object Detection- Ao Luo, Xin Li, Fan Yang, Zhicheng Jiao, Hong Cheng, Siwei Lyu
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[DOI]
FairALM: Augmented Lagrangian Method for Training Fair Models with Little Regret- Vishnu Suresh Lokhande, Aditya Kumar Akash, Sathya N. Ravi, Vikas Singh
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[DOI]
Generating Videos of Zero-Shot Compositions of Actions and Objects- Megha Nawhal, Mengyao Zhai, Andreas Lehrmann, Leonid Sigal, Greg Mori
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[DOI]
ViTAA: Visual-Textual Attributes Alignment in Person Search by Natural Language- Zhe Wang, Zhiyuan Fang, Jun Wang, Yezhou Yang
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[DOI]
Renovating Parsing R-CNN for Accurate Multiple Human Parsing- Lu Yang, Qing Song, Zhihui Wang, Mengjie Hu, Chun Liu, Xueshi Xin, Wenhe Jia, Songcen Xu
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[DOI]
Multi-Task Curriculum Framework for Open-Set Semi-Supervised Learning- Qing Yu, Daiki Ikami, Go Irie, Kiyoharu Aizawa
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[DOI]
Gradient-Induced Co-Saliency Detection- Zhao Zhang, Wenda Jin, Jun Xu, Ming-Ming Cheng
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[DOI]
Nighttime Defogging Using High-Low Frequency Decomposition and Grayscale-Color Networks- Wending Yan, Robby T. Tan, Dengxin Dai
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[DOI]
SegFix: Model-Agnostic Boundary Refinement for Segmentation- Yuhui Yuan, Jingyi Xie, Xilin Chen, Jingdong Wang
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[DOI]
Spatio-Temporal Graph Transformer Networks for Pedestrian Trajectory Prediction- Cunjun Yu, Xiao Ma, Jiawei Ren, Haiyu Zhao, Shuai Yi
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[DOI]
Fast Bi-layer Neural Synthesis of One-Shot Realistic Head Avatars- Egor Zakharov, Aleksei Ivakhnenko, Aliaksandra Shysheya, Victor Lempitsky
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[DOI]
Neural Geometric Parser for Single Image Camera Calibration- Jinwoo Lee, Minhyuk Sung, Hyunjoon Lee, Junho Kim
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[DOI]
Learning Flow-based Feature Warping for Face Frontalization with Illumination Inconsistent Supervision- Yuxiang Wei, Ming Liu, Haolin Wang, Ruifeng Zhu, Guosheng Hu, Wangmeng Zuo
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[DOI]
Learning Architectures for Binary Networks- Dahyun Kim, Kunal Pratap Singh, Jonghyun Choi
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[DOI]
Semantic View Synthesis- Hsin-Ping Huang, Hung-Yu Tseng, Hsin-Ying Lee, Jia-Bin Huang
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[DOI]
An Analysis of Sketched IRLS for Accelerated Sparse Residual Regression- Daichi Iwata, Michael Waechter, Wen-Yan Lin, Yasuyuki Matsushita
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[DOI]
Relative Pose from Deep Learned Depth and a Single Affine Correspondence- Ivan Eichhardt, Daniel Barath
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[DOI]
Video Super-Resolution with Recurrent Structure-Detail Network- Takashi Isobe, Xu Jia, Shuhang Gu, Songjiang Li, Shengjin Wang, Qi Tian
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[DOI]
Shape Adaptor: A Learnable Resizing Module- Shikun Liu, Zhe Lin, Yilin Wang, Jianming Zhang, Federico Perazzi, Edward Johns
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[DOI]
Shuffle and Attend: Video Domain Adaptation- Jinwoo Choi, Gaurav Sharma, Samuel Schulter, Jia-Bin Huang
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[DOI]
DRG: Dual Relation Graph for Human-Object Interaction Detection- Chen Gao, Jiarui Xu, Yuliang Zou, Jia-Bin Huang
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[DOI]
Flow-edge Guided Video Completion- Chen Gao, Ayush Saraf, Jia-Bin Huang, Johannes Kopf
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[DOI]
End-to-End Trainable Deep Active Contour Models for Automated Image Segmentation: Delineating Buildings in Aerial Imagery- Ali Hatamizadeh, Debleena Sengupta, Demetri Terzopoulos
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[DOI]
Towards End-to-end Video-based Eye-Tracking- Seonwook Park, Emre Aksan, Xucong Zhang, Otmar Hilliges
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[DOI]
Generating Handwriting via Decoupled Style Descriptors- Atsunobu Kotani, Stefanie Tellex, James Tompkin
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[DOI]
LEED: Label-Free Expression Editing via Disentanglement- Rongliang Wu, Shijian Lu
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[DOI]
Fashion Captioning: Towards Generating Accurate Descriptions with Semantic Rewards- Xuewen Yang, Heming Zhang, Di Jin, Yingru Liu, Chi-Hao Wu, Jianchao Tan, Dongliang Xie, Jue Wang, Xin Wang
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[DOI]
Reducing Language Biases in Visual Question Answering with Visually-Grounded Question Encoder- Gouthaman KV, Anurag Mittal
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[DOI]
Unsupervised Cross-Modal Alignment for Multi-Person 3D Pose Estimation- Jogendra Nath Kundu, Ambareesh Revanur, Govind Vitthal Waghmare, Rahul Mysore Venkatesh, R. Venkatesh Babu
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[DOI]
Class-Incremental Domain Adaptation- Jogendra Nath Kundu, Rahul Mysore Venkatesh, Naveen Venkat, Ambareesh Revanur, R. Venkatesh Babu
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[DOI]
Anti-Bandit Neural Architecture Search for Model Defense- Hanlin Chen, Baochang Zhang, Song Xue, Xuan Gong, Hong Liu, Rongrong Ji, David Doermann
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[DOI]
Wavelet-Based Dual-Branch Network for Image Demoiréing- Lin Liu, Jianzhuang Liu, Shanxin Yuan, Gregory Slabaugh, Aleš Leonardis, Wengang Zhou, Qi Tian
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[DOI]
Low Light Video Enhancement using Synthetic Data Produced with an Intermediate Domain Mapping- Danai Triantafyllidou, Sean Moran, Steven McDonagh, Sarah Parisot, Gregory Slabaugh
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[DOI]
Non-Local Spatial Propagation Network for Depth Completion- Jinsun Park, Kyungdon Joo, Zhe Hu, Chi-Kuei Liu, In So Kweon
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[DOI]
DanbooRegion: An Illustration Region Dataset- Lvmin Zhang, Yi JI, Chunping Liu
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[DOI]
Event Enhanced High-Quality Image Recovery- Bishan Wang, Jingwei He, Lei Yu, Gui-Song Xia, Wen Yang
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[DOI]
PackDet: Packed Long-Head Object Detector- Kun Ding, Guojin He, Huxiang Gu, Zisha Zhong, Shiming Xiang, Chunhong Pan
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[DOI]
A Generic Graph-based Neural Architecture Encoding Scheme for Predictor-based NAS- Xuefei Ning, Yin Zheng, Tianchen Zhao, Yu Wang, Huazhong Yang
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[DOI]
Learning Semantic Neural Tree for Human Parsing- Ruyi Ji, Dawei Du, Libo Zhang, Longyin Wen, Yanjun Wu, Chen Zhao, Feiyue Huang, Siwei Lyu
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[DOI]
Sketching Image Gist: Human-Mimetic Hierarchical Scene Graph Generation- Wenbin Wang, Ruiping Wang, Shiguang Shan, Xilin Chen
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[DOI]
Burst Denoising via Temporally Shifted Wavelet Transforms- Xuejian Rong, Denis Demandolx, Kevin Matzen, Priyam Chatterjee, Yingli Tian
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[DOI]
JSSR: A Joint Synthesis, Segmentation, and Registration System for 3D Multi-Modal Image Alignment of Large-scale Pathological CT Scans- Fengze Liu, Jinzheng Cai, Yuankai Huo, Chi-Tung Cheng, Ashwin Raju, Dakai Jin, Jing Xiao, Alan Yuille, Le Lu, ChienHung Liao, Adam P. Harrison
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[DOI]
SimAug: Learning Robust Representations from Simulation for Trajectory Prediction- Junwei Liang, Lu Jiang, Alexander Hauptmann
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[DOI]
ScribbleBox: Interactive Annotation Framework for Video Object Segmentation- Bowen Chen, Huan Ling, Xiaohui Zeng, Jun Gao, Ziyue Xu, Sanja Fidler
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[DOI]
Rethinking Pseudo-LiDAR Representation- Xinzhu Ma, Shinan Liu, Zhiyi Xia, Hongwen Zhang, Xingyu Zeng, Wanli Ouyang
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[DOI]
Deep Multi Depth Panoramas for View Synthesis- Kai-En Lin, Zexiang Xu, Ben Mildenhall, Pratul P. Srinivasan, Yannick Hold-Geoffroy, Stephen DiVerdi, Qi Sun, Kalyan Sunkavalli, Ravi Ramamoorthi
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[DOI]
MINI-Net: Multiple Instance Ranking Network for Video Highlight Detection- Fa-Ting Hong, Xuanteng Huang, Wei-Hong Li, Wei-Shi Zheng
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[DOI]
ContactPose: A Dataset of Grasps with Object Contact and Hand Pose- Samarth Brahmbhatt, Chengcheng Tang, Christopher D. Twigg, Charles C. Kemp, James Hays
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[DOI]
API-Net: Robust Generative Classifier via a Single Discriminator- Xinshuai Dong, Hong Liu, Rongrong Ji, Liujuan Cao, Qixiang Ye, Jianzhuang Liu, Qi Tian
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[DOI]
Bias-based Universal Adversarial Patch Attack for Automatic Check-out- Aishan Liu, Jiakai Wang, Xianglong Liu, Bowen Cao, Chongzhi Zhang, Hang Yu
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[DOI]
Imbalanced Continual Learning with Partitioning Reservoir Sampling- Chris Dongjoo Kim, Jinseo Jeong, Gunhee Kim
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[DOI]
Guided Collaborative Training for Pixel-wise Semi-Supervised Learning- Zhanghan Ke, Di Qiu, Kaican Li, Qiong Yan, Rynson W.H. Lau
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[DOI]
Stacking Networks Dynamically for Image Restoration Based on the Plug-and-Play Framework- Haixin Wang, Tianhao Zhang, Muzhi Yu, Jinan Sun, Wei Ye, Chen Wang , Shikun Zhang
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[DOI]
Efficient Transfer Learning via Joint Adaptation of Network Architecture and Weight- Ming Sun, Haoxuan Dou, Junjie Yan
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[DOI]
Spatial Attention Pyramid Network for Unsupervised Domain Adaptation- Congcong Li, Dawei Du, Libo Zhang, Longyin Wen, Tiejian Luo, Yanjun Wu, Pengfei Zhu
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[DOI]
GSIR: Generalizable 3D Shape Interpretation and Reconstruction- Jianren Wang, Zhaoyuan Fang
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[DOI]
Weakly Supervised 3D Object Detection from Lidar Point Cloud- Qinghao Meng, Wenguan Wang, Tianfei Zhou, Jianbing Shen, Luc Van Gool , Dengxin Dai
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[DOI]
Two-phase Pseudo Label Densification for Self-training based Domain Adaptation- Inkyu Shin, Sanghyun Woo, Fei Pan, In So Kweon
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[DOI]
Adaptive Offline Quintuplet Loss for Image-Text Matching- Tianlang Chen, Jiajun Deng, Jiebo Luo
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[DOI]
Learning Object Placement by Inpainting for Compositional Data Augmentation- Lingzhi Zhang, Tarmily Wen, Jie Min, Jiancong Wang, David Han, Jianbo Shi
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[DOI]
Deep Vectorization of Technical Drawings- Vage Egiazarian, Oleg Voynov, Alexey Artemov, Denis Volkhonskiy, Aleksandr Safin, Maria Taktasheva, Denis Zorin, Evgeny Burnaev
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[DOI]
CAD-Deform: Deformable Fitting of CAD Models to 3D Scans- Vladislav Ishimtsev, Alexey Bokhovkin, Alexey Artemov, Savva Ignatyev , Matthias Niessner, Denis Zorin, Evgeny Burnaev
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[DOI]
An Image Enhancing Pattern-based Sparsity for Real-time Inference on Mobile Devices- Xiaolong Ma, Wei Niu, Tianyun Zhang, Sijia Liu, Sheng Lin, Hongjia Li, Wujie Wen, Xiang Chen, Jian Tang, Kaisheng Ma, Bin Ren, Yanzhi Wang
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[DOI]
AutoTrajectory: Label-free Trajectory Extraction and Prediction from Videos using Dynamic Points- Yuexin Ma, Xinge Zhu, Xinjing Cheng, Ruigang Yang, Jiming Liu, Dinesh Manocha
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[DOI]
Multi-Agent Embodied Question Answering in Interactive Environments- Sinan Tan, Weilai Xiang, Huaping Liu, Di Guo, Fuchun Sun
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[DOI]
Conditional Sequential Modulation for Efficient Global Image Retouching- Jingwen He, Yihao Liu, Yu Qiao, Chao Dong
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[DOI]
Segmenting Transparent Objects in the Wild- Enze Xie, Wenjia Wang, Wenhai Wang, Mingyu Ding, Chunhua Shen, Ping Luo
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[DOI]
Length-Controllable Image Captioning- Chaorui Deng, Ning Ding, Mingkui Tan, Qi Wu
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[DOI]
Few-Shot Semantic Segmentation with Democratic Attention Networks- Haochen Wang, Xudong Zhang, Yutao Hu, Yandan Yang, Xianbin Cao, Xiantong Zhen
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[DOI]
Defocus Blur Detection via Depth Distillation- Xiaodong Cun, Chi-Man Pun
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[DOI]
Motion Guided 3D Pose Estimation from Videos- Jingbo Wang, Sijie Yan, Yuanjun Xiong, Dahua Lin
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[DOI]
Reflection Separation via Multi-bounce Polarization State Tracing- Rui Li, Simeng Qiu, Guangming Zang, Wolfgang Heidrich
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[DOI]
SipMask: Spatial Information Preservation for Fast Image and Video Instance Segmentation- Jiale Cao, Rao Muhammad Anwer, Hisham Cholakkal, Fahad Shahbaz Khan, Yanwei Pang, Ling Shao
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[DOI]
SemanticAdv: Generating Adversarial Examples via Attribute-conditioned Image Editing- Haonan Qiu, Chaowei Xiao, Lei Yang, Xinchen Yan, Honglak Lee, Bo Li
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[DOI]
Learning with Noisy Class Labels for Instance Segmentation- Longrong Yang, Fanman Meng, Hongliang Li, Qingbo Wu, Qishang Cheng
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[DOI]
Deep Image Clustering with Category-Style Representation- Junjie Zhao, Donghuan Lu, Kai Ma, Yu Zhang, Yefeng Zheng
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[DOI]
Self-supervised Motion Representation via Scattering Local Motion Cues- Yuan Tian, Zhaohui Che, Wenbo Bao, Guangtao Zhai, Zhiyong Gao
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[DOI]
Improving Monocular Depth Estimation by Leveraging Structural Awareness and Complementary Datasets- Tian Chen, Shijie An, Yuan Zhang, Chongyang Ma , Huayan Wang, Xiaoyan Guo, Wen Zheng
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[DOI]
BMBC: Bilateral Motion Estimation with Bilateral Cost Volume for Video Interpolation- Junheum Park, Keunsoo Ko, Chul Lee, Chang-Su Kim
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[DOI]
Hard negative examples are hard, but useful- Hong Xuan, Abby Stylianou, Xiaotong Liu, Robert Pless
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[DOI]
ReActNet: Towards Precise Binary Neural Network with Generalized Activation Functions- Zechun Liu, Zhiqiang Shen, Marios Savvides, Kwang-Ting Cheng
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[DOI]
Video Object Detection via Object-level Temporal Aggregation- Chun-Han Yao, Chen Fang, Xiaohui Shen, Yangyue Wan, Ming-Hsuan Yang
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[DOI]
Object Detection with a Unified Label Space from Multiple Datasets- Xiangyun Zhao, Samuel Schulter, Gaurav Sharma, Yi-Hsuan Tsai, Manmohan Chandraker, Ying Wu
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[DOI]
Lift, Splat, Shoot: Encoding Images from Arbitrary Camera Rigs by Implicitly Unprojecting to 3D- Jonah Philion, Sanja Fidler
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[DOI]
Comprehensive Image Captioning via Scene Graph Decomposition- Yiwu Zhong, Liwei Wang, Jianshu Chen, Dong Yu, Yin Li
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[DOI]
Symbiotic Adversarial Learning for Attribute-based Person Search- Yu-Tong Cao, Jingya Wang, Dacheng Tao
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[DOI]
Amplifying Key Cues for Human-Object-Interaction Detection- Yang Liu, Qingchao Chen, Andrew Zisserman
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[DOI]
Rethinking Few-shot Image Classification: A Good Embedding is All You Need?- Yonglong Tian, Yue Wang, Dilip Krishnan, Joshua B. Tenenbaum, Phillip Isola
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[DOI]
Adversarial Background-Aware Loss for Weakly-supervised Temporal Activity Localization- Kyle Min, Jason J. Corso
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[DOI]
Action Localization through Continual Predictive Learning- Sathyanarayanan Aakur, Sudeep Sarkar
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[DOI]
Generative View-Correlation Adaptation for Semi-Supervised Multi-View Learning- Yunyu Liu, Lichen Wang, Yue Bai, Can Qin, Zhengming Ding, Yun Fu
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[DOI]
READ: Reciprocal Attention Discriminator for Image-to-Video Re-Identification- Minho Shim, Hsuan-I Ho, Jinhyung Kim, Dongyoon Wee
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[DOI]
3D Human Shape Reconstruction from a Polarization Image- Shihao Zou, Xinxin Zuo, Yiming Qian, Sen Wang, Chi Xu, Minglun Gong , Li Cheng
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[DOI]
The Devil is in the Details: Self-Supervised Attention for Vehicle Re-Identification- Pirazh Khorramshahi, Neehar Peri, Jun-cheng Chen, Rama Chellappa
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[DOI]
Improving One-stage Visual Grounding by Recursive Sub-query Construction- Zhengyuan Yang, Tianlang Chen, Liwei Wang, Jiebo Luo
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[DOI]
Multi-level Wavelet-based Generative Adversarial Network for Perceptual Quality Enhancement of Compressed Video- Jianyi Wang, Xin Deng, Mai Xu, Congyong Chen, Yuhang Song
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[DOI]
Example-Guided Image Synthesis using Masked Spatial-Channel Attention and Self-Supervision- Haitian Zheng, Haofu Liao, Lele Chen, Wei Xiong, Tianlang Chen, Jiebo Luo
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[DOI]
Content-Consistent Matching for Domain Adaptive Semantic Segmentation- Guangrui Li, Guoliang Kang, Wu Liu, Yunchao Wei, Yi Yang
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[DOI]
AE TextSpotter: Learning Visual and Linguistic Representation for Ambiguous Text Spotting- Wenhai Wang, Xuebo Liu, Xiaozhong Ji, Enze Xie, Ding Liang, ZhiBo Yang, Tong Lu, Chunhua Shen, Ping Luo
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[DOI]
History Repeats Itself: Human Motion Prediction via Motion Attention- Wei Mao, Miaomiao Liu, Mathieu Salzmann
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[DOI]
Unsupervised Video Object Segmentation with Joint Hotspot Tracking- Lu Zhang, Jianming Zhang, Zhe Lin, Radomír Měch, Huchuan Lu, You He
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[DOI]
SRNet: Improving Generalization in 3D Human Pose Estimation with a Split-and-Recombine Approach- Ailing Zeng, Xiao Sun, Fuyang Huang, Minhao Liu, Qiang Xu, Stephen Lin
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[DOI]
CAFE-GAN: Arbitrary Face Attribute Editing with Complementary Attention Feature- Jeong gi Kwak, David K. Han, Hanseok Ko
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[DOI]
MimicDet: Bridging the Gap Between One-Stage and Two-Stage Object Detection- Xin Lu, Quanquan Li, Buyu Li, Junjie Yan
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[DOI]
Latent Topic-aware Multi-Label Classification- Jianghong Ma, Yang Liu
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[DOI]
Finding It at Another Side: A Viewpoint-Adapted Matching Encoder for Change Captioning- Xiangxi Shi, Xu Yang, Jiuxiang Gu, Shafiq Joty, Jianfei Cai
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[DOI]
Attract, Perturb, and Explore: Learning a Feature Alignment Network for Semi-supervised Domain Adaptation- Taekyung Kim, Changick Kim
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[DOI]
Curriculum Manager for Source Selection in Multi-Source Domain Adaptation- Luyu Yang, Yogesh Balaji, Ser-Nam Lim, Abhinav Shrivastava
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[DOI]
Powering One-shot Topological NAS with Stabilized Share-parameter Proxy- Ronghao Guo, Chen Lin, Chuming Li, Keyu Tian, Ming Sun, Lu Sheng, Junjie Yan
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[DOI]
Classes Matter: A Fine-grained Adversarial Approach to Cross-domain Semantic Segmentation- Haoran Wang, Tong Shen, Wei Zhang, Ling-Yu Duan, Tao Mei
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[DOI]
Boundary-preserving Mask R-CNN- Tianheng Cheng, Xinggang Wang, Lichao Huang, Wenyu Liu
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[DOI]
Self-supervised Single-view 3D Reconstruction via Semantic Consistency- Xueting Li, Sifei Liu, Kihwan Kim, Shalini De Mello, Varun Jampani, Ming-Hsuan Yang, Jan Kautz
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[DOI]
MetaDistiller: Network Self-Boosting via Meta-Learned Top-Down Distillation- Benlin Liu, Yongming Rao, Jiwen Lu, Jie Zhou, Cho-Jui Hsieh
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[DOI]
Learning Monocular Visual Odometry via Self-Supervised Long-Term Modeling- Yuliang Zou, Pan Ji, Quoc-Huy Tran, Jia-Bin Huang, Manmohan Chandraker
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[DOI]
The Devil is in Classification: A Simple Framework for Long-tail Instance Segmentation- Tao Wang, Yu Li, Bingyi Kang, Junnan Li, Junhao Liew, Sheng Tang, Steven Hoi, Jiashi Feng
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[DOI]
What is Learned in Deep Uncalibrated Photometric Stereo?- Guanying Chen, Michael Waechter, Boxin Shi, Kwan-Yee K. Wong, Yasuyuki Matsushita
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[DOI]
Prior-based Domain Adaptive Object Detection for Hazy and Rainy Conditions- Vishwanath A. Sindagi, Poojan Oza, Rajeev Yasarla, Vishal M. Patel
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[DOI]
Adversarial Ranking Attack and Defense- Mo Zhou, Zhenxing Niu, Le Wang, Qilin Zhang, Gang Hua
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[DOI]
ReDro: Efficiently Learning Large-sized SPD Visual Representation- Saimunur Rahman, Lei Wang, Changming Sun, Luping Zhou
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[DOI]
Graph-Based Social Relation Reasoning- Wanhua Li, Yueqi Duan, Jiwen Lu, Jianjiang Feng, Jie Zhou
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[DOI]
EPNet: Enhancing Point Features with Image Semantics for 3D Object Detection- Tengteng Huang, Zhe Liu, Xiwu Chen, Xiang Bai
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[DOI]
Self-Supervised Monocular 3D Face Reconstruction by Occlusion-Aware Multi-view Geometry Consistency- Jiaxiang Shang, Tianwei Shen, Shiwei li, Lei Zhou, Mingmin Zhen, Tian Fang, Long Quan
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[DOI]
Asynchronous Interaction Aggregation for Action Detection- Jiajun Tang, Jin Xia, Xinzhi Mu, Bo Pang, Cewu Lu
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[DOI]
Shape and Viewpoint without Keypoints- Shubham Goel, Angjoo Kanazawa, Jitendra Malik
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[DOI]
Learning Attentive and Hierarchical Representations for 3D Shape Recognition- Jiaxin Chen, Jie Qin, Yuming Shen, Li Liu, Fan Zhu, Ling Shao
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[DOI]
TF-NAS: Rethinking Three Search Freedoms of Latency-Constrained Differentiable Neural Architecture Search- Yibo Hu, Xiang Wu, Ran He
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[DOI]
Associative3D: Volumetric Reconstruction from Sparse Views- Shengyi Qian, Linyi Jin, David F. Fouhey
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[DOI]
PlugNet: Degradation Aware Scene Text Recognition Supervised by a Pluggable Super-Resolution Unit- Yongqiang Mou, Lei Tan, Hui Yang, Jingying Chen, Leyuan Liu, Rui Yan, Yaohong Huang
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[DOI]
Memory Selection Network for Video Propagation- Ruizheng Wu, Huaijia Lin, Xiaojuan Qi, Jiaya Jia
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[DOI]
Disentangled Non-local Neural Networks- Minghao Yin, Zhuliang Yao, Yue Cao, Xiu Li, Zheng Zhang, Stephen Lin, Han Hu
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[DOI]
URVOS: Unified Referring Video Object Segmentation Network with a Large-Scale Benchmark- Seonguk Seo, Joon-Young Lee, Bohyung Han
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[DOI]
Generalizing Person Re-Identification by Camera-Aware Invariance Learning and Cross-Domain Mixup- Chuanchen Luo, Chunfeng Song, Zhaoxiang Zhang
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[DOI]
Semi-Supervised Crowd Counting via Self-Training on Surrogate Tasks- Yan Liu, Lingqiao Liu, Peng Wang, Pingping Zhang, Yinjie Lei
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[DOI]
Dynamic R-CNN: Towards High Quality Object Detection via Dynamic Training- Hongkai Zhang, Hong Chang, Bingpeng Ma, Naiyan Wang, Xilin Chen
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[DOI]
Boosting Decision-based Black-box Adversarial Attacks with Random Sign Flip- Weilun Chen, Zhaoxiang Zhang, Xiaolin Hu, Baoyuan Wu
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[DOI]
Knowledge Transfer via Dense Cross-Layer Mutual-Distillation- Anbang Yao, Dawei Sun
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[DOI]
Matching Guided Distillation- Kaiyu Yue, Jiangfan Deng, Feng Zhou
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[DOI]
Clustering Driven Deep Autoencoder for Video Anomaly Detection- Yunpeng Chang, Zhigang Tu, Wei Xie, Junsong Yuan
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[DOI]
Learning to Compose Hypercolumns for Visual Correspondence- Juhong Min, Jongmin Lee, Jean Ponce, Minsu Cho
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[DOI]
Stochastic Bundle Adjustment for Efficient and Scalable 3D Reconstruction- Lei Zhou, Zixin Luo, Mingmin Zhen, Tianwei Shen, Shiwei Li, Zhuofei Huang, Tian Fang, Long Quan
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[DOI]
Object-based Illumination Estimation with Rendering-aware Neural Networks- Xin Wei, Guojun Chen, Yue Dong, Stephen Lin, Xin Tong
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[DOI]
Progressive Point Cloud Deconvolution Generation Network- Le Hui, Rui Xu, Jin Xie, Jianjun Qian, Jian Yang
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[DOI]
SSCGAN: Facial Attribute Editing via Style Skip Connections- Wenqing Chu, Ying Tai, Chengjie Wang, Jilin Li, Feiyue Huang, Rongrong Ji
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[DOI]
Negative Pseudo Labeling using Class Proportion for Semantic Segmentation in Pathology- Hiroki Tokunaga, Brian Kenji Iwana, Yuki Teramoto, Akihiko Yoshizawa , Ryoma Bise
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[DOI]
Learn to Propagate Reliably on Noisy Affinity Graphs- Lei Yang, Qingqiu Huang, Huaiyi Huang, Linning Xu, Dahua Lin
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[DOI]
Fair DARTS: Eliminating Unfair Advantages in Differentiable Architecture Search- Xiangxiang Chu, Tianbao Zhou, Bo Zhang, Jixiang Li
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[DOI]
TANet: Towards Fully Automatic Tooth Arrangement- Guodong Wei, Zhiming Cui, Yumeng Liu, Nenglun Chen, Runnan Chen, Guiqing Li, Wenping Wang
- [pdf]
[DOI]
UnionDet: Union-Level Detector Towards Real-Time Human-Object Interaction Detection- Bumsoo Kim, Taeho Choi, Jaewoo Kang, Hyunwoo J. Kim
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[DOI]
GSNet: Joint Vehicle Pose and Shape Reconstruction with Geometrical and Scene-aware Supervision- Lei Ke, Shichao Li, Yanan Sun, Yu-Wing Tai, Chi-Keung Tang
- [pdf]
[DOI]
Resolution Switchable Networks for Runtime Efficient Image Recognition- Yikai Wang, Fuchun Sun, Duo Li, Anbang Yao
- [pdf]
[DOI]
SMAP: Single-Shot Multi-Person Absolute 3D Pose Estimation- Jianan Zhen, Qi Fang, Jiaming Sun, Wentao Liu, Wei Jiang, Hujun Bao , Xiaowei Zhou
- [pdf]
[DOI]
Learning to Detect Open Classes for Universal Domain Adaptation- Bo Fu, Zhangjie Cao, Mingsheng Long, Jianmin Wang
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[DOI]
Visual Compositional Learning for Human-Object Interaction Detection- Zhi Hou, Xiaojiang Peng, Yu Qiao, Dacheng Tao
- [pdf]
[DOI]
Deep Plastic Surgery: Robust and Controllable Image Editing with Human-Drawn Sketches- Shuai Yang, Zhangyang Wang, Jiaying Liu, Zongming Guo
- [pdf]
[DOI]
Rethinking Class Activation Mapping for Weakly Supervised Object Localization- Wonho Bae, Junhyug Noh, Gunhee Kim
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[DOI]
OS2D: One-Stage One-Shot Object Detection by Matching Anchor Features- Anton Osokin, Denis Sumin, Vasily Lomakin
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[DOI]
Interpretable Neural Network Decoupling- Yuchao Li, Rongrong Ji, Shaohui Lin, Baochang Zhang, Chenqian Yan, Yongjian Wu, Feiyue Huang, Ling Shao
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[DOI]
Omni-sourced Webly-supervised Learning for Video Recognition- Haodong Duan, Yue Zhao, Yuanjun Xiong, Wentao Liu, Dahua Lin
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[DOI]
CurveLane-NAS: Unifying Lane-Sensitive Architecture Search and Adaptive Point Blending- Hang Xu, Shaoju Wang, Xinyue Cai, Wei Zhang, Xiaodan Liang, Zhenguo Li
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[DOI]
Contextual-Relation Consistent Domain Adaptation for Semantic Segmentation- Jiaxing Huang, Shijian Lu, Dayan Guan, Xiaobing Zhang
- [pdf]
[DOI]
Estimating People Flows to Better Count Them in Crowded Scenes- Weizhe Liu, Mathieu Salzmann, Pascal Fua
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[DOI]
Generate to Adapt: Resolution Adaption Network for Surveillance Face Recognition- Han Fang, Weihong Deng, Yaoyao Zhong, Jiani Hu
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[DOI]
Learning Feature Embeddings for Discriminant Model based Tracking- Linyu Zheng, Ming Tang, Yingying Chen, Jinqiao Wang, Hanqing Lu
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[DOI]
WeightNet: Revisiting the Design Space of Weight Networks- Ningning Ma, Xiangyu Zhang, Jiawei Huang, Jian Sun
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[DOI]
Partially-Shared Variational Auto-encoders for Unsupervised Domain Adaptation with Target Shift- Ryuhei Takahashi, Atsushi Hashimoto, Motoharu Sonogashira, Masaaki Iiyama
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[DOI]
Learning Where to Focus for Efficient Video Object Detection- Zhengkai Jiang, Yu Liu, Ceyuan Yang, Jihao Liu, Peng Gao, Qian Zhang, Shiming Xiang, Chunhong Pan
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[DOI]
Learning Object Permanence from Video- Aviv Shamsian, Ofri Kleinfeld, Amir Globerson, Gal Chechik
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[DOI]
Adaptive Text Recognition through Visual Matching- Chuhan Zhang, Ankush Gupta, Andrew Zisserman
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[DOI]
Actions as Moving Points- Yixuan Li, Zixu Wang, Limin Wang, Gangshan Wu
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[DOI]
Learning to Exploit Multiple Vision Modalities by Using Grafted Networks- Yuhuang Hu, Tobi Delbruck, Shih-Chii Liu
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[DOI]
Geometric Correspondence Fields: Learned Differentiable Rendering for 3D Pose Refinement in the Wild- Alexander Grabner, Yaming Wang, Peizhao Zhang, Peihong Guo, Tong Xiao, Peter Vajda, Peter M. Roth, Vincent Lepetit
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[DOI]
3D Fluid Flow Reconstruction Using Compact Light Field PIV- Zhong Li, Yu Ji, Jingyi Yu, Jinwei Ye
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[DOI]
Contextual Diversity for Active Learning- Sharat Agarwal, Himanshu Arora, Saket Anand, Chetan Arora
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[DOI]
Temporal Aggregate Representations for Long-Range Video Understanding- Fadime Sener, Dipika Singhania, Angela Yao
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[DOI]
Stochastic Fine-grained Labeling of Multi-state Sign Glosses for Continuous Sign Language Recognition- Zhe Niu, Brian Mak
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[DOI]
General 3D Room Layout from a Single View by Render-and-Compare- Sinisa Stekovic, Shreyas Hampali, Mahdi Rad, Sayan Deb Sarkar, Friedrich Fraundorfer, Vincent Lepetit
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[DOI]
Neural Dense Non-Rigid Structure from Motion with Latent Space Constraints- Vikramjit Sidhu, Edgar Tretschk, Vladislav Golyanik, Antonio Agudo, Christian Theobalt
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[DOI]
Multimodal Memorability: Modeling Effects of Semantics and Decay on Video Memorability- Anelise Newman, Camilo Fosco, Vincent Casser, Allen Lee, Barry McNamara, Aude Oliva
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[DOI]
Yet Another Intermediate-Level Attack- Qizhang Li, Yiwen Guo, Hao Chen
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[DOI]
Topology-Change-Aware Volumetric Fusion for Dynamic Scene Reconstruction- Chao Li, Xiaohu Guo
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[DOI]
Early Exit Or Not: Resource-Efficient Blind Quality Enhancement for Compressed Images- Qunliang Xing, Mai Xu, Tianyi Li, Zhenyu Guan
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[DOI]
PatchNets: Patch-Based Generalizable Deep Implicit 3D Shape Representations- Edgar Tretschk, Ayush Tewari, Vladislav Golyanik, Michael Zollhöfer, Carsten Stoll, Christian Theobalt
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[DOI]
How does Lipschitz Regularization Influence GAN Training?- Yipeng Qin, Niloy Mitra, Peter Wonka
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[DOI]
Infrastructure-based Multi-Camera Calibration using Radial Projections- Yukai Lin, Viktor Larsson, Marcel Geppert, Zuzana Kukelova, Marc Pollefeys, Torsten Sattler
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[DOI]
MotionSqueeze: Neural Motion Feature Learning for Video Understanding- Heeseung Kwon, Manjin Kim, Suha Kwak, Minsu Cho
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[DOI]
Polarized Optical-Flow Gyroscope- Masada Tzabari, Yoav Y. Schechner
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[DOI]
Online Meta-Learning for Multi-Source and Semi-Supervised Domain Adaptation- Da Li, Timothy Hospedales
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[DOI]
An Ensemble of Epoch-wise Empirical Bayes for Few-shot Learning- Yaoyao Liu, Bernt Schiele, Qianru Sun
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[DOI]
On the Effectiveness of Image Rotation for Open Set Domain Adaptation- Silvia Bucci, Mohammad Reza Loghmani, Tatiana Tommasi
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[DOI]
Combining Task Predictors via Enhancing Joint Predictability- Kwang In Kim, Christian Richardt, Hyung Jin Chang
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[DOI]
Multi-Scale Positive Sample Refinement for Few-Shot Object Detection- Jiaxi Wu, Songtao Liu, Di Huang, Yunhong Wang
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[DOI]
Single-Image Depth Prediction Makes Feature Matching Easier- Carl Toft, Daniyar Turmukhambetov, Torsten Sattler, Fredrik Kahl, Gabriel J. Brostow
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[DOI]
Deep Reinforced Attention Learning for Quality-Aware Visual Recognition- Duo Li, Qifeng Chen
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[DOI]
CFAD: Coarse-to-Fine Action Detector for Spatiotemporal Action Localization- Yuxi Li, Weiyao Lin, John See, Ning Xu Shugong Xu, Ke Yan, Cong Yang
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[DOI]
Learning Joint Spatial-Temporal Transformations for Video Inpainting- Yanhong Zeng, Jianlong Fu, Hongyang Chao
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[DOI]
Single Path One-Shot Neural Architecture Search with Uniform Sampling- Zichao Guo, Xiangyu Zhang, Haoyuan Mu, Wen Heng, Zechun Liu, Yichen Wei, Jian Sun
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[DOI]
Learning to Generate Novel Domains for Domain Generalization- Kaiyang Zhou, Yongxin Yang, Timothy Hospedales, Tao Xiang
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[DOI]
Continuous Adaptation for Interactive Object Segmentation by Learning from Corrections- Theodora Kontogianni, Michael Gygli, Jasper Uijlings, Vittorio Ferrari
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[DOI]
Impact of base dataset design on few-shot image classification- Othman Sbai, Camille Couprie, Mathieu Aubry
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[DOI]
Invertible Zero-Shot Recognition Flows- Yuming Shen, Jie Qin, Lei Huang, Li Liu, Fan Zhu, Ling Shao
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[DOI]
GeoLayout: Geometry Driven Room Layout Estimation Based on Depth Maps of Planes- Weidong Zhang, Wei Zhang, Yinda Zhang
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[DOI]
Location Sensitive Image Retrieval and Tagging- Raul Gomez, Jaume Gibert, Lluis Gomez, Dimosthenis Karatzas
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[DOI]
Joint 3D Layout and Depth Prediction from a Single Indoor Panorama Image- Wei Zeng, Sezer Karaoglu, Theo Gevers
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[DOI]
Guessing State Tracking for Visual Dialogue- Wei Pang, Xiaojie Wang
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[DOI]
Memory-Efficient Incremental Learning Through Feature Adaptation- Ahmet Iscen, Jeffrey Zhang, Svetlana Lazebnik, Cordelia Schmid
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[DOI]
Neural Voice Puppetry: Audio-driven Facial Reenactment- Justus Thies, Mohamed Elgharib, Ayush Tewari, Christian Theobalt, Matthias Nießner
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[DOI]
One-Shot Unsupervised Cross-Domain Detection- Antonio D’Innocente, Francesco Cappio Borlino, Silvia Bucci, Barbara Caputo, Tatiana Tommasi
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[DOI]
Stochastic Frequency Masking to Improve Super-Resolution and Denoising Networks- Majed El Helou, Ruofan Zhou, Sabine Süsstrunk
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[DOI]
Probabilistic Future Prediction for Video Scene Understanding- Anthony Hu, Fergal Cotter, Nikhil Mohan, Corina Gurau, Alex Kendall
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[DOI]
Suppressing Mislabeled Data via Grouping and Self-Attention- Xiaojiang Peng, Kai Wang, Zhaoyang Zeng, Qing Li, Jianfei Yang, Yu Qiao
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[DOI]
Class-wise Dynamic Graph Convolution for Semantic Segmentation- Hanzhe Hu, Deyi Ji, Weihao Gan, Shuai Bai, Wei Wu, Junjie Yan
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[DOI]
Character-Preserving Coherent Story Visualization- Yun-Zhu Song, Zhi Rui Tam, Hung-Jen Chen, Huiao-Han Lu, Hong-Han Shuai
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[DOI]
GINet: Graph Interaction Network for Scene Parsing- Tianyi Wu, Yu Lu, Yu Zhu, Chuang Zhang, MingWu, Zhanyu Ma, Guodong Guo
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[DOI]
Tensor Low-Rank Reconstruction for Semantic Segmentation- Wanli Chen, Xinge Zhu, Ruoqi Sun, Junjun He, Ruiyu Li, Xiaoyong Shen , Bei Yu
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[DOI]
Attentive Normalization- Xilai Li, Wei Sun, Tianfu Wu
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[DOI]
Count- and Similarity-aware R-CNN for Pedestrian Detection- Jin Xie, Hisham Cholakkal, Rao Muhammad Anwer, Fahad Shahbaz Khan, Yanwei Pang, Ling Shao, Mubarak Shah
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[DOI]
TRADI: Tracking Deep Neural network Weight Distributions- Gianni Franchi, Andrei Bursuc, Emanuel Aldea, Séverine Dubuisson, Isabelle Bloch
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[DOI]
Spatiotemporal Attacks for Embodied Agents- Aishan Liu, Tairan Huang, Xianglong Liu, Yitao Xu, Yuqing Ma, Xinyun Chen, Stephen J. Maybank, Dacheng Tao
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[DOI]
Caption-Supervised Face Recognition: Training a State-of-the-Art Face Model without Manual Annotation- Qingqiu Huang, Lei Yang, Huaiyi Huang, Tong Wu, Dahua Lin
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[DOI]
Unselfie: Translating Selfies to Neutral-pose Portraits in the Wild- Liqian Ma, Zhe Lin, Connelly Barnes, Alexei A Efros, Jingwan Lu
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[DOI]
Design and Interpretation of Universal Adversarial Patches in Face Detection- Xiao Yang, Fangyun Wei, Hongyang Zhang, Jun Zhu
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[DOI]
Few-Shot Object Detection and Viewpoint Estimation for Objects in the Wild- Yang Xiao, Renaud Marlet
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[DOI]
Weakly Supervised 3D Hand Pose Estimation via Biomechanical Constraints- Adrian Spurr, Umar Iqbal, Pavlo Molchanov, Otmar Hilliges, Jan Kautz
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[DOI]
Dynamic Dual-Attentive Aggregation Learning for Visible-Infrared Person Re-Identification- Mang Ye, Jianbing Shen, David J. Crandall, Ling Shao, Jiebo Luo
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[DOI]
Contextual Heterogeneous Graph Network for Human-Object Interaction Detection- Hai Wang, Wei-shi Zheng, Ling Yingbiao
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[DOI]
Zero-Shot Image Super-Resolution with Depth Guided Internal Degradation Learning- Xi Cheng, Zhenyong Fu, Jian Yang
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[DOI]
A Closest Point Proposal for MCMC-based Probabilistic Surface Registration- Dennis Madsen, Andreas Morel-Forster, Patrick Kahr, Dana Rahbani, Thomas Vetter, Marcel Lüthi
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[DOI]
Interactive Video Object Segmentation Using Global and Local Transfer Modules- Yuk Heo, Yeong Jun Koh, Chang-Su Kim
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[DOI]
End-to-end Interpretable Learning of Non-blind Image Deblurring- Thomas Eboli, Jian Sun, Jean Ponce
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[DOI]
Employing Multi-Estimations for Weakly-Supervised Semantic Segmentation- Junsong Fan, Zhaoxiang Zhang, Tieniu Tan
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[DOI]
Learning Noise-Aware Encoder-Decoder from Noisy Labels by Alternating Back-Propagation for Saliency Detection- Jing Zhang, Jianwen Xie, Nick Barnes
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[DOI]
Rethinking Image Deraining via Rain Streaks and Vapors- Yinglong Wang, Yibing Song, Chao Ma, Bing Zeng
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[DOI]
Finding Non-Uniform Quantization Schemes using Multi-Task Gaussian Processes- Marcelo Gennari do Nascimento, Theo W. Costain, Victor Adrian Prisacariu
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[DOI]
Is Sharing of Egocentric Video Giving Away Your Biometric Signature?- Daksh Thapar, Chetan Arora, Aditya Nigam
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[DOI]
Captioning Images Taken by People Who Are Blind- Danna Gurari, Yinan Zhao, Meng Zhang, Nilavra Bhattacharya
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[DOI]
Improving Semantic Segmentation via Decoupled Body and Edge Supervision- Xiangtai Li, Xia Li, Li Zhang, Guangliang Cheng, Jianping Shi, Zhouchen Lin, Shaohua Tan, Yunhai Tong
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[DOI]
Conditional Entropy Coding for Efficient Video Compression- Jerry Liu, Shenlong Wang, Wei-Chiu Ma, Meet Shah, Rui Hu, Pranaab Dhawan, Raquel Urtasun
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[DOI]
Differentiable Feature Aggregation Search for Knowledge Distillation- Yushuo Guan, Pengyu Zhao, Bingxuan Wang, Yuanxing Zhang, Cong Yao, Kaigui Bian, Jian Tang
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[DOI]
Attention Guided Anomaly Localization in Images- Shashanka Venkataramanan, Kuan-Chuan Peng, Rajat Vikram Singh, Abhijit Mahalanobis
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[DOI]
Self-supervised Video Representation Learning by Pace Prediction- Jiangliu Wang, Jianbo Jiao, Yun-Hui Liu
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[DOI]
Full-Body Awareness from Partial Observations- Chris Rockwell, David F. Fouhey
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[DOI]
Reinforced Axial Refinement Network for Monocular 3D Object Detection- Lijie Liu, Chufan Wu, Jiwen Lu, Lingxi Xie, Jie Zhou, Qi Tian
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[DOI]
Self-Supervised Multi-Task Procedure Learning from Instructional Videos- Ehsan Elhamifar, Dat Huynh
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[DOI]
CosyPose: Consistent multi-view multi-object 6D pose estimation- Yann Labbé, Justin Carpentier, Mathieu Aubry, Josef Sivic
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[DOI]
In-Domain GAN Inversion for Real Image Editing- Jiapeng Zhu, Yujun Shen, Deli Zhao, Bolei Zhou
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[DOI]
Key Frame Proposal Network for Efficient Pose Estimation in Videos- Yuexi Zhang, Yin Wang, Octavia Camps, Mario Sznaier
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[DOI]
Exchangeable Deep Neural Networks for Set-to-Set Matching and Learning- Yuki Saito, Takuma Nakamura, Hirotaka Hachiya, Kenji Fukumizu
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[DOI]
Making Sense of CNNs: Interpreting Deep Representations & Their Invariances with INNs- Robin Rombach, Patrick Esser, Björn Ommer
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[DOI]
Cross-Modal Weighting Network for RGB-D Salient Object Detection- Gongyang Li, Zhi Liu, Linwei Ye, Yang Wang, Haibin Ling
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[DOI]
Open-set Adversarial Defense- Rui Shao, Pramuditha Perera, Pong C. Yuen, Vishal M. Patel
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[DOI]
Deep Image Compression using Decoder Side Information- Sharon Ayzik, Shai Avidan
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[DOI]
Meta-Sim2: Unsupervised Learning of Scene Structure for Synthetic Data Generation- Jeevan Devaranjan, Amlan Kar, Sanja Fidler
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[DOI]
A Generic Visualization Approach for Convolutional Neural Networks- Ahmed Taha, Xitong Yang, Abhinav Shrivastava, Larry Davis
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[DOI]
Interactive Annotation of 3D Object Geometry using 2D Scribbles- Tianchang Shen, Jun Gao, Amlan Kar, Sanja Fidler
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[DOI]
Hierarchical Kinematic Human Mesh Recovery- Georgios Georgakis, Ren Li, Srikrishna Karanam, Terrence Chen, Jana Košecká, Ziyan Wu
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[DOI]
Multi-Loss Rebalancing Algorithm for Monocular Depth Estimation- Jae-Han Lee, Chang-Su Kim
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[DOI]
3D Bird Reconstruction: a Dataset, Model, and Shape Recovery from a Single View- Marc Badger, Yufu Wang, Adarsh Modh, Ammon Perkes, Nikos Kolotouros , Bernd G. Pfrommer, Marc F. Schmidt, Kostas Daniilidis
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[DOI]
We Have So Much In Common: Modeling Semantic Relational Set Abstractions in Videos- Alex Andonian, Camilo Fosco, Mathew Monfort, Allen Lee, Rogerio Feris, Carl Vondrick, Aude Oliva
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[DOI]
Joint Optimization for Multi-Person Shape Models from Markerless 3D-Scans- Samuel Zeitvogel, Johannes Dornheim, Astrid Laubenheimer
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[DOI]
Accurate RGB-D Salient Object Detection via Collaborative Learning- Wei Ji, Jingjing Li, Miao Zhang, Yongri Piao, Huchuan Lu
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[DOI]
Finding Your (3D) Center: 3D Object Detection Using a Learned Loss- David Griffiths, Jan Boehm, Tobias Ritschel
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[DOI]
Collaborative Training between Region Proposal Localization and Classification for Domain Adaptive Object Detection- Ganlong Zhao, Guanbin Li, Ruijia Xu, Liang Lin
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[DOI]
Two Stream Active Query Suggestion for Active Learning in Connectomics- Zudi Lin, Donglai Wei, Won-Dong Jang, Siyan Zhou, Xupeng Chen, Xueying Wang, Richard Schalek, Daniel Berger, Brian Matejek, Lee Kamentsky, Adi Peleg, Daniel Haehn, Thouis Jones, Toufiq Parag, Jeff Lichtman, Hanspeter Pfister
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[DOI]
Pix2Surf: Learning Parametric 3D Surface Models of Objects from Images- Jiahui Lei, Srinath Sridhar, Paul Guerrero, Minhyuk Sung, Niloy Mitra, Leonidas J. Guibas
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[DOI]
6D Camera Relocalization in Ambiguous Scenes via Continuous Multimodal Inference- Mai Bui, Tolga Birdal, Haowen Deng, Shadi Albarqouni, Leonidas Guibas, Slobodan Ilic, Nassir Navab
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[DOI]
Modeling Artistic Workflows for Image Generation and Editing- Hung-Yu Tseng, Matthew Fisher, Jingwan Lu, Yijun Li, Vladimir Kim, Ming-Hsuan Yang
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[DOI]
A Large-scale Annotated Mechanical Components Benchmark for Classification and Retrieval Tasks with Deep Neural Networks- Sangpil Kim, Hyung-gun Chi, Xiao Hu, Qixing Huang, Karthik Ramani
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[DOI]
Hidden Footprints: Learning Contextual Walkability from 3D Human Trails- Jin Sun, Hadar Averbuch-Elor, Qianqian Wang, Noah Snavely
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[DOI]
Self-Supervised Learning of Audio-Visual Objects from Video- Triantafyllos Afouras, Andrew Owens, Joon Son Chung, Andrew Zisserman
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[DOI]
GAN-based Garment Generation Using Sewing Pattern Images- Yu Shen, Junbang Liang, Ming C. Lin
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[DOI]
Style Transfer for Co-Speech Gesture Animation: A Multi-Speaker Conditional-Mixture Approach- Chaitanya Ahuja, Dong Won Lee, Yukiko I. Nakano, Louis-Philippe Morency
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[DOI]
An LSTM Approach to Temporal 3D Object Detection in LiDAR Point Clouds- Rui Huang, Wanyue Zhang, Abhijit Kundu, Caroline Pantofaru, David A Ross, Thomas Funkhouser, Alireza Fathi
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[DOI]
Monotonicity Prior for Cloud Tomography- Tamar Loeub, Aviad Levis, Vadim Holodovsky, Yoav Y. Schechner
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[DOI]
Learning Trailer Moments in Full-Length Movies with Co-Contrastive Attention- Lezi Wang, Dong Liu, Rohit Puri, Dimitris N. Metaxas
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[DOI]
Preserving Semantic Neighborhoods for Robust Cross-modal Retrieval- Christopher Thomas, Adriana Kovashka
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[DOI]
Large-scale Pretraining for Visual Dialog: A Simple State-of-the-Art Baseline- Vishvak Murahari, Dhruv Batra, Devi Parikh, Abhishek Das
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[DOI]
Learning to Generate Grounded Visual Captions without Localization Supervision- Chih-Yao Ma, Yannis Kalantidis, Ghassan AlRegib, Peter Vajda, Marcus Rohrbach, Zsolt Kira
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[DOI]
Neural Hair Rendering- Menglei Chai, Jian Ren, Sergey Tulyakov
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[DOI]
JNR: Joint-based Neural Rig Representation for Compact 3D Face Modeling- Noranart Vesdapunt, Mitch Rundle, HsiangTao Wu, Baoyuan Wang
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[DOI]
On Disentangling Spoof Trace for Generic Face Anti-Spoofing- Yaojie Liu, Joel Stehouwer, Xiaoming Liu
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[DOI]
Streaming Object Detection for 3-D Point Clouds- Wei Han, Zhengdong Zhang, Benjamin Caine, Brandon Yang, Christoph Sprunk, Ouais Alsharif, Jiquan Ngiam, Vijay Vasudevan, Jonathon Shlens, Zhifeng Chen
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[DOI]
NAS-DIP: Learning Deep Image Prior with Neural Architecture Search- Yun-Chun Chen, Chen Gao, Esther Robb, Jia-Bin Huang
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[DOI]
Learning to Learn in a Semi-Supervised Fashion- Yun-Chun Chen, Chao-Te Chou, Yu-Chiang Frank Wang
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[DOI]
FeatMatch: Feature-Based Augmentation for Semi-Supervised Learning- Chia-Wen Kuo, Chih-Yao Ma, Jia-Bin Huang, Zsolt Kira
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[DOI]
RadarNet: Exploiting Radar for Robust Perception of Dynamic Objects- Bin Yang, Runsheng Guo, Ming Liang, Sergio Casas, Raquel Urtasun
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[DOI]
Seeing the Un-Scene: Learning Amodal Semantic Maps for Room Navigation- Medhini Narasimhan, Erik Wijmans, Xinlei Chen, Trevor Darrell, Dhruv Batra, Devi Parikh, Amanpreet Singh
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[DOI]
Learning to Separate: Detecting Heavily-Occluded Objects in Urban Scenes- Chenhongyi Yang, Vitaly Ablavsky, Kaihong Wang, Qi Feng, Margrit Betke
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[DOI]
Towards causal benchmarking of bias in face analysis algorithms- Guha Balakrishnan, Yuanjun Xiong, Wei Xia, Pietro Perona
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[DOI]
Learning and Memorizing Representative Prototypes for 3D Point Cloud Semantic and Instance Segmentation- Tong He, Dong Gong, Zhi Tian, Chunhua Shen
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[DOI]
Knowledge-Based Video Question Answering with Unsupervised Scene Descriptions- Noa Garcia, Yuta Nakashima
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[DOI]
Transformation Consistency Regularization – A Semi-Supervised Paradigm for Image-to-Image Translation- Aamir Mustafa, Rafal K. Mantiuk
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[DOI]
LIRA: Lifelong Image Restoration from Unknown Blended Distortions- Jianzhao Liu, Jianxin Lin, Xin Li, Wei Zhou, Sen Liu, Zhibo Chen
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[DOI]
HDNet: Human Depth Estimation for Multi-Person Camera-Space Localization- Jiahao Lin, Gim Hee Lee
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[DOI]
SOLO: Segmenting Objects by Locations- Xinlong Wang, Tao Kong, Chunhua Shen, Yuning Jiang, Lei Li
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[DOI]
Learning to See in the Dark with Events- Song Zhang, Yu Zhang, Zhe Jiang, Dongqing Zou, Jimmy Ren, Bin Zhou
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[DOI]
Trajectron++: Dynamically-Feasible Trajectory Forecasting With Heterogeneous Data- Tim Salzmann, Boris Ivanovic, Punarjay Chakravarty, Marco Pavone
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[DOI]
Context-Gated Convolution- Xudong Lin, Lin Ma, Wei Liu, Shih-Fu Chang
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[DOI]
Polynomial Regression Network for Variable-Number Lane Detection- Bingke Wang, Zilei Wang, Yixin Zhang
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[DOI]
Structural Deep Metric Learning for Room Layout Estimation- Wenzhao Zheng, Jiwen Lu, Jie Zhou
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[DOI]
Adaptive Task Sampling for Meta-Learning- Chenghao Liu, Zhihao Wang, Doyen Sahoo, Yuan Fang Kun Zhang, Steven C.H. Hoi
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[DOI]
Deep Complementary Joint Model for Complex Scene Registration and Few-shot Segmentation on Medical Images- Yuting He, Tiantian Li, Guanyu Yang, Youyong Kong, Yang Chen, Huazhong Shu, Jean-Louis Coatrieux, Jean-Louis Dillenseger, Shuo Li
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[DOI]
Improving Multispectral Pedestrian Detection by Addressing Modality Imbalance Problems- Kailai Zhou, Linsen Chen, Xun Cao
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[DOI]
High-Resolution Image Inpainting with Iterative Confidence Feedback and Guided Upsampling- Yu Zeng, Zhe Lin, Jimei Yang, Jianming Zhang, Eli Shechtman, Huchuan Lu
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[DOI]
Online Ensemble Model Compression using Knowledge Distillation- Devesh Walawalkar, Zhiqiang Shen, Marios Savvides
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[DOI]
Deep Learning-based Pupil Center Detection for Fast and Accurate Eye Tracking System- Kang Il Lee, Jung Ho Jeon, Byung Cheol Song
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[DOI]
Efficient Residue Number System Based Winograd Convolution- Zhi-Gang Liu, Matthew Mattina
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[DOI]
Robust Tracking against Adversarial Attacks- Shuai Jia, Chao Ma, Yibing Song, Xiaokang Yang
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[DOI]
Single-Shot Neural Relighting and SVBRDF Estimation- Shen Sang, Manmohan Chandraker
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[DOI]
Unsupervised 3D Human Pose Representation with Viewpoint and Pose Disentanglement- Qiang Nie , Ziwei Liu , Yunhui Liu
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[DOI]
Angle-based Search Space Shrinking for Neural Architecture Search- Yiming Hu, Yuding Liang, Zichao Guo, Ruosi Wan, Xiangyu Zhang, Yichen Wei, Qingyi Gu, Jian Sun
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[DOI]
RobustScanner: Dynamically Enhancing Positional Clues for Robust Text Recognition- Xiaoyu Yue, Zhanghui Kuang, Chenhao Lin, Hongbin Sun, Wayne Zhang
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[DOI]
Towards Fast, Accurate and Stable 3D Dense Face Alignment- Jianzhu Guo, Xiangyu Zhu, Yang Yang, Fan Yang, Zhen Lei, Stan Z. Li
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[DOI]
Iterative Feature Transformation for Fast and Versatile Universal Style Transfer- Tai-Yin Chiu, Danna Gurari
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[DOI]
CATCH: Context-based Meta Reinforcement Learning for Transferrable Architecture Search- Xin Chen, Yawen Duan, Zewei Chen, Hang Xu, Zihao Chen, Xiaodan Liang, Tong Zhang, Zhenguo Li
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[DOI]
Toward Faster and Simpler Matrix Normalization via Rank-1 Update- Tan Yu, Yunfeng Cai, Ping Li
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[DOI]
Accurate Polarimetric BRDF for Real Polarization Scene Rendering- Yuhi Kondo, Taishi Ono, Legong Sun, Yasutaka Hirasawa, Jun Murayama
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[DOI]
Lensless Imaging with Focusing Sparse URA Masks in Long-Wave Infrared and its Application for Human Detection- Ilya Reshetouski, Hideki Oyaizu, Kenichiro Nakamura, Ryuta Satoh, Suguru Ushiki, Ryuichi Tadano, Atsushi Ito, Jun Murayama
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[DOI]
Topology-Preserving Class-Incremental Learning- Xiaoyu Tao, Xinyuan Chang, Xiaopeng Hong, Xing Wei, Yihong Gong
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[DOI]
Inter-Image Communication for Weakly Supervised Localization- Xiaolin Zhang, Yunchao Wei, Yi Yang
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[DOI]
UFO²: A Unified Framework towards Omni-supervised Object Detection- Zhongzheng Ren, Zhiding Yu, Xiaodong Yang, Ming-Yu Liu, Alexander G. Schwing, Jan Kautz
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[DOI]
iCaps: An Interpretable Classifier via Disentangled Capsule Networks- Dahuin Jung, Jonghyun Lee, Jihun Yi, Sungroh Yoon
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[DOI]
Detecting Natural Disasters, Damage, and Incidents in the Wild- Ethan Weber, Nuria Marzo, Dim P. Papadopoulos, Aritro Biswas, Agata Lapedriza, Ferda Ofli, Muhammad Imran, Antonio Torralba
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[DOI]
Dynamic ReLU- Yinpeng Chen, Xiyang Dai, Mengchen Liu, Dongdong Chen, Lu Yuan, Zicheng Liu
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[DOI]
Acquiring Dynamic Light Fields through Coded Aperture Camera- Kohei Sakai, Keita Takahashi, Toshiaki Fujii, Hajime Nagahara
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[DOI]
Gait Recognition from a Single Image using a Phase-Aware Gait Cycle Reconstruction Network- Chi Xu, Yasushi Makihara, Xiang Li, Yasushi Yagi, Jianfeng Lu
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[DOI]
Informative Sample Mining Network for Multi-Domain Image-to-Image Translation- Jie Cao, Huaibo Huang, Yi Li, Ran He, Zhenan Sun
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[DOI]
Spherical Feature Transform for Deep Metric Learning- Yuke Zhu, Yan Bai, Yichen Wei
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[DOI]
Semantic Equivalent Adversarial Data Augmentation for Visual Question Answering- Ruixue Tang, Chao Ma, Wei Emma Zhang, Qi Wu, Xiaokang Yang
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[DOI]
Unsupervised Multi-View CNN for Salient View Selection of 3D Objects and Scenes- Ran Song, Wei Zhang, Yitian Zhao, Yonghuai Liu
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[DOI]
Representation Sharing for Fast Object Detector Search and Beyond- Yujie Zhong, Zelu Deng, Sheng Guo, Matthew R. Scott, Weilin Huang
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[DOI]
Peeking into occluded joints: A novel framework for crowd pose estimation- Lingteng Qiu, Xuanye Zhang, Yanran Li, Guanbin Li, Xiaojun Wu, Zixiang Xiong, Xiaoguang Han, Shuguang Cui
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[DOI]
RubiksNet: Learnable 3D-Shift for Efficient Video Action Recognition- Linxi Fan, Shyamal Buch, Guanzhi Wang, Ryan Cao, Yuke Zhu, Juan Carlos Niebles, Li Fei-Fei
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[DOI]
Deep Hashing with Active Pairwise Supervision- Ziwei Wang, Quan Zheng, Jiwen Lu, Jie Zhou
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[DOI]
Graph Edit Distance Reward: Learning to Edit Scene Graph- Lichang Chen, Guosheng Lin, Shijie Wang, Qingyao Wu
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[DOI]
Malleable 2.5D Convolution: Learning Receptive Fields along the Depth-axis for RGB-D Scene Parsing- Yajie Xing, Jingbo Wang, Gang Zeng
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[DOI]
Feature-metric Loss for Self-supervised Learning of Depth and Egomotion- Chang Shu, Kun Yu, Zhixiang Duan, Kuiyuan Yang
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[DOI]
Propagating Over Phrase Relations for One-Stage Visual Grounding- Sibei Yang, Guanbin Li, Yizhou Yu
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[DOI]
Adversarial Semantic Data Augmentation for Human Pose Estimation- Yanrui Bin, Xuan Cao, Xinya Chen, Yanhao Ge, Ying Tai, Chengjie Wang, Jilin Li, Feiyue Huang, Changxin Gao, Nong Sang
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[DOI]
Free View Synthesis- Gernot Riegler, Vladlen Koltun
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[DOI]
Face Anti-Spoofing via Disentangled Representation Learning- Ke-Yue Zhang, Taiping Yao, Jian Zhang, Ying Tai, Shouhong Ding, Jilin Li, Feiyue Huang, Haichuan Song, Lizhuang Ma
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[DOI]
Prime-Aware Adaptive Distillation- Youcai Zhang, Zhonghao Lan, Yuchen Dai, Fangao Zeng, Yan Bai, Jie Chang, Yichen Wei
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[DOI]
Meta-Learning with Network Pruning- Hongduan Tian, Bo Liu, Xiao-Tong Yuan, Qingshan Liu
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[DOI]
Spiral Generative Network for Image Extrapolation- Dongsheng Guo, Hongzhi Liu, Haoru Zhao, Yunhao Cheng, Qingwei Song, Zhaorui Gu, Haiyong Zheng, Bing Zheng
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[DOI]
SceneSketcher: Fine-Grained Image Retrieval with Scene Sketches- Fang Liu, Changqing Zou, Xiaoming Deng, Ran Zuo, Yu-Kun Lai, Cuixia Ma, Yong-Jin Liu, Hongan Wang
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[DOI]
Few-shot Compositional Font Generation with Dual Memory- Junbum Cha, Sanghyuk Chun, Gayoung Lee, Bado Lee, Seonghyeon Kim, Hwalsuk Lee
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[DOI]
PUGeo-Net: A Geometry-centric Network for 3D Point Cloud Upsampling- Yue Qian, Junhui Hou, Sam Kwong, Ying He
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[DOI]
Handcrafted Outlier Detection Revisited- Luca Cavalli, Viktor Larsson, Martin Ralf Oswald, Torsten Sattler, Marc Pollefeys
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[DOI]
The Average Mixing Kernel Signature- Luca Cosmo, Giorgia Minello, Michael Bronstein, Luca Rossi, Andrea Torsello
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[DOI]
BCNet: Learning Body and Cloth Shape from A Single Image- Boyi Jiang, Juyong Zhang, Yang Hong, Jinhao Luo, Ligang Liu, Hujun Bao
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[DOI]
Self-supervised Keypoint Correspondences for Multi-Person Pose Estimation and Tracking in Videos- Umer Rafi, Andreas Doering, Bastian Leibe, Juergen Gall
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[DOI]
Interactive Multi-Dimension Modulation with Dynamic Controllable Residual Learning for Image Restoration- Jingwen He, Chao Dong, Yu Qiao
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[DOI]
Polysemy Deciphering Network for Human-Object Interaction Detection- Xubin Zhong, Changxing Ding, Xian Qu, Dacheng Tao
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[DOI]
PODNet: Pooled Outputs Distillation for Small-Tasks Incremental Learning- Arthur Douillard, Matthieu Cord, Charles Ollion, Thomas Robert, Eduardo Valle
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[DOI]
Learning Graph-Convolutional Representations for Point Cloud Denoising- Francesca Pistilli, Giulia Fracastoro, Diego Valsesia, Enrico Magli
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[DOI]
Semantic Line Detection Using Mirror Attention and Comparative Ranking and Matching- Dongkwon Jin, Jun-Tae Lee, Chang-Su Kim
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[DOI]
A Differentiable Recurrent Surface for Asynchronous Event-Based Data- Marco Cannici, Marco Ciccone, Andrea Romanoni , Matteo Matteucci
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[DOI]
Fine-Grained Visual Classification via Progressive Multi-Granularity Training of Jigsaw Patches- Ruoyi Du, Dongliang Chang, Ayan Kumar Bhunia, Jiyang Xie, Zhanyu Ma , Yi-Zhe Song, Jun Guo
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[DOI]
LiteFlowNet3: Resolving Correspondence Ambiguity for More Accurate Optical Flow Estimation- Tak-Wai Hui, Chen Change Loy
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[DOI]
Microscopy Image Restoration with Deep Wiener-Kolmogorov Filters- Valeriya Pronina, Filippos Kokkinos, Dmitry V. Dylov, Stamatios Lefkimmiatis
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[DOI]
ScanRefer: 3D Object Localization in RGB-D Scans using Natural Language- Dave Zhenyu Chen, Angel X. Chang, Matthias Nießner
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[DOI]
JSENet: Joint Semantic Segmentation and Edge Detection Network for 3D Point Clouds- Zeyu Hu, Mingmin Zhen, Xuyang Bai, Hongbo Fu, Chiew-lan Tai
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[DOI]
Motion-Excited Sampler: Video Adversarial Attack with Sparked Prior- Hu Zhang, Linchao Zhu, Yi Zhu, Yi Yang
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[DOI]
An Inference Algorithm for Multi-Label MRF-MAP Problems with Clique Size 100- Ishant Shanu, Siddhant Bharti, Chetan Arora, S. N. Maheshwari
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[DOI]
Dual Refinement Underwater Object Detection Network- Baojie Fan, Wei Chen, Yang Cong, Jiandong Tian
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[DOI]
Multiple Sound Sources Localization from Coarse to Fine- Rui Qian, Di Hu, Heinrich Dinkel, Mengyue Wu, Ning Xu, Weiyao Lin
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[DOI]
Task-Aware Quantization Network for JPEG Image Compression- Jinyoung Choi, Bohyung Han
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[DOI]
Energy-Based Models for Deep Probabilistic Regression- Fredrik K. Gustafsson, Martin Danelljan, Goutam Bhat, Thomas B. Schön
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[DOI]
CLOTH3D: Clothed 3D Humans- Hugo Bertiche, Meysam Madadi, Sergio Escalera
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[DOI]
Encoding Structure-Texture Relation with P-Net for Anomaly Detection in Retinal Images- Kang Zhou, Yuting Xiao, Jianlong Yang, Jun Cheng, Wen Liu, Weixin Luo, Zaiwang Gu, Jiang Liu, Shenghua Gao
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[DOI]
CLNet: A Compact Latent Network for Fast Adjusting Siamese Trackers- Xingping Dong, Jianbing Shen, Ling Shao, Fatih Porikli
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[DOI]
Occlusion-Aware Siamese Network for Human Pose Estimation- Lu Zhou, Yingying Chen, Yunze Gao, Jinqiao Wang, Hanqing Lu
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[DOI]
Learning to Predict Salient Faces: A Novel Visual-Audio Saliency Model- Yufan Liu, Minglang Qiao, Mai Xu, Bing Li, Weiming Hu, Ali Borji
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[DOI]
NormalGAN: Learning Detailed 3D Human from a Single RGB-D Image- Lizhen Wang, Xiaochen Zhao, Tao Yu, Songtao Wang, Yebin Liu
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[DOI]
Model-based occlusion disentanglement for image-to-image translation- Fabio Pizzati, Pietro Cerri, Raoul de Charette
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[DOI]
Rotation-robust Intersection over Union for 3D Object Detection- Yu Zheng, Danyang Zhang, Sinan Xie, Jiwen Lu, Jie Zhou
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[DOI]
New Threats against Object Detector with Non-local Block- Yi Huang, Fan Wang, Adams Wai-Kin Kong, Kwok-Yan Lam
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[DOI]
Self-Supervised CycleGAN for Object-Preserving Image-to-Image Domain Adaptation- Xinpeng Xie, Jiawei Chen, Yuexiang Li, Linlin Shen, Kai Ma, Yefeng Zheng
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[DOI]
On the Usage of the Trifocal Tensor in Motion Segmentation- Federica Arrigoni, Luca Magri, Tomas Pajdla
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[DOI]
3D-Rotation-Equivariant Quaternion Neural Networks- Wen Shen, Binbin Zhang, Shikun Huang, Zhihua Wei, Quanshi Zhang
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[DOI]
InterHand2.6M: A Dataset and Baseline for 3D Interacting Hand Pose Estimation from a Single RGB Image- Gyeongsik Moon, Shoou-I Yu, He Wen, Takaaki Shiratori, Kyoung Mu Lee
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[DOI]
Active Crowd Counting with Limited Supervision- Zhen Zhao, Miaojing Shi, Xiaoxiao Zhao, Li Li
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[DOI]
Self-Supervised Monocular Depth Estimation: Solving the Dynamic Object Problem by Semantic Guidance- Marvin Klingner, Jan-Aike Termhlen, Jonas Mikolajczyk, Tim Fingscheidt
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[DOI]
Hierarchical Visual-Textual Graph for Temporal Activity Localization via Language- Shaoxiang Chen, Yu-Gang Jiang
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[DOI]
Do Not Mask What You Do Not Need to Mask: a Parser-Free Virtual Try-On- Thibaut Issenhuth, Jérémie Mary, Clément Calauzènes
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[DOI]
NODIS: Neural Ordinary Differential Scene Understanding- Yuren Cong, Hanno Ackermann, Wentong Liao, Michael Ying Yang, Bodo Rosenhahn
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[DOI]
AssembleNet++: Assembling Modality Representations via Attention Connections - Supplementary Material -- Michael S. Ryoo, AJ Piergiovanni, Juhana Kangaspunta, Anelia Angelova
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[DOI]
Learning Propagation Rules for Attribution Map Generation- Yiding Yang, Jiayan Qiu, Mingli Song, Dacheng Tao, Xinchao Wang
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[DOI]
Reparameterizing Convolutions for Incremental Multi-Task Learning without Task Interference- Menelaos Kanakis, David Bruggemann, Suman Saha, Stamatios Georgoulis , Anton Obukhov, Luc Van Gool
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[DOI]
Learning Predictive Models from Observation and Interaction- Karl Schmeckpeper, Annie Xie, Oleh Rybkin, Stephen Tian, Kostas Daniilidis, Sergey Levine, Chelsea Finn
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[DOI]
Unifying Deep Local and Global Features for Image Search- Bingyi Cao, André Araujo, Jack Sim
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[DOI]
Human Body Model Fitting by Learned Gradient Descent- Jie Song, Xu Chen, Otmar Hilliges
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[DOI]
DDGCN: A Dynamic Directed Graph Convolutional Network for Action Recognition- Matthew Korban, Xin Li
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[DOI]
Learning latent representations across multiple data domains using Lifelong VAEGAN- Fei Ye, Adrian G. Bors
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[DOI]
DVI: Depth Guided Video Inpainting for Autonomous Driving- Miao Liao, Feixiang Lu, Dingfu Zhou, Sibo Zhang, Wei Li, Ruigang Yang
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[DOI]
Incorporating Reinforced Adversarial Learning in Autoregressive Image Generation- Kenan E. Ak, Ning Xu, Zhe Lin, Yilin Wang
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[DOI]
APRICOT: A Dataset of Physical Adversarial Attacks on Object Detection- A. Braunegg, Amartya Chakraborty, Michael Krumdick, Nicole Lape, Sara Leary, Keith Manville, Elizabeth Merkhofer, Laura Strickhart, Matthew Walmer
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[DOI]
Visual Question Answering on Image Sets- Ankan Bansal, Yuting Zhang, Rama Chellappa
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[DOI]
Object as Hotspots: An Anchor-Free 3D Object Detection Approach via Firing of Hotspots- Qi Chen, Lin Sun, Zhixin Wang, Kui Jia, Alan Yuille
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[DOI]
Placepedia: Comprehensive Place Understanding with Multi-Faceted Annotations- Huaiyi Huang, Yuqi Zhang, Qingqiu Huang, Zhengkui Guo, Ziwei Liu, Dahua Lin
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[DOI]
DELTAS: Depth Estimation by Learning Triangulation And densification of Sparse points- Ayan Sinha, Zak Murez, James Bartolozzi, Vijay Badrinarayanan, Andrew Rabinovich
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[DOI]
Dynamic Low-light Imaging with Quanta Image Sensors- Yiheng Chi, Abhiram Gnanasambandam, Vladlen Koltun, Stanley H. Chan
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[DOI]
Disambiguating Monocular Depth Estimation with a Single Transient- Mark Nishimura, David B. Lindell, Christopher Metzler, Gordon Wetzstein
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[DOI]
DSDNet: Deep Structured self-Driving Network- Wenyuan Zeng, Shenlong Wang, Renjie Liao, Yun Chen, Bin Yang, Raquel Urtasun
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[DOI]
QuEST: Quantized Embedding Space for Transferring Knowledge- Himalaya Jain, Spyros Gidaris, Nikos Komodakis, Patrick Pérez, Matthieu Cord
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[DOI]
EGDCL: An Adaptive Curriculum Learning Framework for Unbiased Glaucoma Diagnosis- Rongchang Zhao, Xuanlin Chen, Zailiang Chen, Shuo Li
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[DOI]
Backpropagated Gradient Representations for Anomaly Detection- Gukyeong Kwon, Mohit Prabhushankar, Dogancan Temel, Ghassan AlRegib
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[DOI]
Dense RepPoints: Representing Visual Objects with Dense Point Sets- Ze Yang, Yinghao Xu, Han Xue, Zheng Zhang Raquel Urtasun, Liwei Wang , Stephen Lin, Han Hu
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[DOI]
On Dropping Clusters to Regularize Graph Convolutional Neural Networks- Xikun Zhang, Chang Xu, Dacheng Tao
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[DOI]
Adaptive Video Highlight Detection by Learning from User History- Mrigank Rochan, Mahesh Kumar Krishna Reddy, Linwei Ye, Yang Wang
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[DOI]
Improving 3D Object Detection through Progressive Population Based Augmentation- Shuyang Cheng, Zhaoqi Leng, Ekin Dogus Cubuk, Barret Zoph, Chunyan Bai, Jiquan Ngiam, Yang Song, Benjamin Caine, Vijay Vasudevan, Congcong Li, Quoc V. Le, Jonathon Shlens, Dragomir Anguelov
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[DOI]
DR-KFS: A Differentiable Visual Similarity Metric for 3D Shape Reconstruction- Jiongchao Jin, Akshay Gadi Patil, Zhang Xiong, Hao Zhang
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[DOI]
SPAN: Spatial Pyramid Attention Network for Image Manipulation Localization- Xuefeng Hu, Zhihan Zhang, Zhenye Jiang, Syomantak Chaudhuri, Zhenheng Yang, Ram Nevatia
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[DOI]
Adversarial Learning for Zero-shot Domain Adaptation- Jinghua Wang, Jianmin Jiang
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[DOI]
YOLO in the Dark - Domain Adaptation Method for Merging Multiple Models -- Yukihiro Sasagawa, Hajime Nagahara
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[DOI]
Identity-Aware Multi-Sentence Video Description- Jae Sung Park, Trevor Darrell, Anna Rohrbach
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[DOI]
VQA-LOL: Visual Question Answering under the Lens of Logic- Tejas Gokhale, Pratyay Banerjee, Chitta Baral, Yezhou Yang
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[DOI]
Piggyback GAN: Efficient Lifelong Learning for Image Conditioned Generation- Mengyao Zhai, Lei Chen, Jiawei He, Megha Nawhal, Frederick Tung, Greg Mori
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[DOI]
TRRNet: Tiered Relation Reasoning for Compositional Visual Question Answering- Xiaofeng Yang, Guosheng Lin, Fengmao Lv, Fayao Liu
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[DOI]
Mining Inter-Video Proposal Relations for Video Object Detection- Mingfei Han, Yali Wang, Xiaojun Chang, Yu Qiao
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[DOI]
TVR: A Large-Scale Dataset for Video-Subtitle Moment Retrieval- Jie Lei, Licheng Yu, Tamara L. Berg, Mohit Bansal
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[DOI]
Minimum Class Confusion for Versatile Domain Adaptation- Ying Jin, Ximei Wang, Mingsheng Long(), Jianmin Wang
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[DOI]
Large Batch Optimization for Object Detection: Training COCO in 12 Minutes- Tong Wang, Yousong Zhu, Chaoyang Zhao, Wei Zeng, Yaowei Wang, Jinqiao Wang, Ming Tang
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[DOI]
Towards Practical and Efficient High-Resolution HDR Deghosting with CNN- K. Ram Prabhakar, Susmit Agrawal, Durgesh Kumar Singh, Balraj Ashwath , R. Venkatesh Babu
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[DOI]
Monocular Differentiable Rendering for Self-Supervised 3D Object Detection- Deniz Beker, Hiroharu Kato, Mihai Adrian Morariu, Takahiro Ando, Toru Matsuoka, Wadim Kehl, Adrien Gaidon
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[DOI]
Shape Prior Deformation for Categorical 6D Object Pose and Size Estimation- Meng Tian, Marcelo H Ang Jr, Gim Hee Lee
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[DOI]
Dynamic and Static Context-aware LSTM for Multi-agent Motion Prediction- Chaofan Tao, Qinhong Jiang, Lixin Duan, Ping Luo
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[DOI]
Image-based table recognition: data, model, and evaluation- Xu Zhong, Elaheh ShafieiBavani, Antonio Jimeno Yepes
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[DOI]
Group Activity Prediction with Sequential Relational Anticipation Model- Junwen Chen, Wentao Bao,, Yu Kong
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[DOI]
PiP: Planning-informed Trajectory Prediction for Autonomous Driving- Haoran Song, Wenchao Ding, Yuxuan Chen, Shaojie Shen, Michael Yu Wang, Qifeng Chen
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[DOI]
PSConv: Squeezing Feature Pyramid into One Compact Poly-Scale Convolutional Layer- Duo Li, Anbang Yao, Qifeng Chen
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[DOI]
Hierarchical Context Embedding for Region-based Object Detection- Zhao-Min Chen, Xin Jin, Borui Zhao, Xiu-Shen Wei, Yanwen Guo
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[DOI]
Attention-Driven Dynamic Graph Convolutional Network for Multi-Label Image Recognition- Jin Ye, Junjun He, Xiaojiang Peng, Wenhao Wu, Yu Qiao
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[DOI]
Gen-LaneNet: A Generalized and Scalable Approach for 3D Lane Detection- Yuliang Guo, Guang Chen, Peitao Zhao, Weide Zhang, Jinghao Miao, Jingao Wang, Tae Eun Choe
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[DOI]
Sparse-to-Dense Depth Completion Revisited: Sampling Strategy and Graph Construction- Xin Xiong, Haipeng Xiong, Ke Xian, Chen Zhao, Zhiguo Cao, Xin Li
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[DOI]
MEAD: A Large-scale Audio-visual Dataset for Emotional Talking-face Generation- Kaisiyuan Wang Qianyi Wu Linsen Song Zhuoqian Yang Wayne Wu Chen Qian Ran He Yu Qiao Chen Change Loy
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[DOI]
Detecting Human-Object Interactions with Action Co-occurrence Priors- Dong-Jin Kim Xiao Sun Jinsoo Choi Stephen Lin In So Kweon
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[DOI]
Learning Connectivity of Neural Networks from a Topological Perspective- Kun Yuan, Quanquan Li, Jing Shao, Junjie Yan
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[DOI]
JSTASR: Joint Size and Transparency-Aware Snow Removal Algorithm Based on Modified Partial Convolution and Veiling Effect Removal- Wei-Ting Chen, Hao-Yu Fang, Jian-Jiun Ding, Cheng-Che Tsai, Sy-Yen Kuo
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[DOI]
Ocean: Object-aware Anchor-free Tracking- Zhipeng Zhang, Houwen Peng, Jianlong Fu Bing Li, Weiming Hu
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[DOI]
Object Tracking using Spatio-Temporal Networks for Future Prediction Location- Yuan Liu, Ruoteng Li, Yu Cheng, Robby T. Tan, Xiubao Sui
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[DOI]
Pillar-based Object Detection for Autonomous Driving- Yue Wang, Alireza Fathi, Abhijit Kundu, David A. Ross, Caroline Pantofaru, Tom Funkhouser, Justin Solomon
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[DOI]
Sparse Adversarial Attack via Perturbation Factorization- Yanbo Fan, Baoyuan Wu, Tuanhui Li, Yong Zhang, Mingyang Li, Zhifeng Li, Yujiu Yang
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[DOI]
3D Scene Reconstruction from a Single Viewport- Maximilian Denninger, Rudolph Triebel
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[DOI]
Learning to Optimize Domain Specific Normalization for Domain Generalization- Seonguk Seo, Yumin Suh, Dongwan Kim, Geeho Kim, Jongwoo Han, Bohyung Han
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[DOI]
Self-supervised Outdoor Scene Relighting- Ye Yu, Abhimitra Meka, Mohamed Elgharib, Hans-Peter Seidel, Christian Theobalt, William A. P. Smith
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[DOI]
Privacy Preserving Visual SLAM- Mikiya Shibuya, Shinya Sumikura, Ken Sakurada
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[DOI]
Leveraging Acoustic Images for Effective Self-Supervised Audio Representation Learning- Valentina Sanguineti, Pietro Morerio, Niccolò Pozzetti, Danilo Greco, Marco Cristani, Vittorio Murino
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[DOI]
Learning Joint Visual Semantic Matching Embeddings for Language-guided Retrieval- Yanbei Chen, Loris Bazzani
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[DOI]
Globally Optimal and Efficient Vanishing Point Estimation in Atlanta World- Haoang Li, Pyojin Kim, Ji Zhao, Kyungdon Joo, Zhipeng Cai, Zhe Liu , Yun-Hui Liu
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[DOI]
StyleGAN2 Distillation for Feed-forward Image Manipulation- Yuri Viazovetskyi, Vladimir Ivashkin, Evgeny Kashin
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[DOI]
Self-Prediction for Joint Instance and Semantic Segmentation of Point Clouds- Jinxian Liu, Minghui Yu, Bingbing Ni⁴, Ye Chen
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[DOI]
Learning Disentangled Representations via Mutual Information Estimation- Eduardo Hugo Sanchez, Mathieu Serrurier, Mathias Ortner
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[DOI]
Challenge-Aware RGBT Tracking- Chenglong Li, Lei Liu, Andong Lu, Qing Ji, Jin Tang
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[DOI]
Fully Trainable and Interpretable Non-Local Sparse Models for Image Restoration- Bruno Lecouat, Jean Ponce, Julien Mairal
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[DOI]
AutoSimulate: (Quickly) Learning Synthetic Data Generation- Harkirat Singh Behl, Atilim Güneş Baydin, Ran Gal, Philip H.S. Torr, Vibhav Vineet
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[DOI]
LatticeNet: Towards Lightweight Image Super-resolution with Lattice Block- Xiaotong Luo, Yuan Xie, Yulun Zhang, Yanyun Qu, Cuihua Li, Yun Fu
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[DOI]
Learning from Scale-Invariant Examples for Domain Adaptation in Semantic Segmentation- M.Naseer Subhani, Mohsen Ali
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[DOI]
Active Visual Information Gathering for Vision-Language Navigation- Hanqing Wang, Wenguan Wang, Tianmin Shu, Wei Liang, Jianbing Shen
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[DOI]
Deep Hough-Transform Line Priors- Yancong Lin, Silvia L. Pintea, Jan C. van Gemert
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[DOI]
Unsupervised Shape and Pose Disentanglement for 3D Meshes- Keyang Zhou, Bharat Lal Bhatnagar, Gerard Pons-Moll
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[DOI]
CLAWS: Clustering Assisted Weakly Supervised Learning with Normalcy Suppression for Anomalous Event Detection- Muhammad Zaigham Zaheer, Arif Mahmood, Marcella Astrid, Seung-Ik Lee
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[DOI]
Inclusive GAN: Improving Data and Minority Coverage in Generative Models- Ning Yu, Ke Li, Peng Zhou Jitendra Malik, Larry Davis, Mario Fritz
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[DOI]
SESAME: Semantic Editing of Scenes by Adding, Manipulating or Erasing Objects- Evangelos Ntavelis, Andrés Romero, Iason Kastanis, Luc Van Gool, Radu Timofte
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[DOI]
Dive Deeper Into Box for Object Detection- Ran Chen, Yong Liu, Mengdan Zhang, Shu Liu, Bei Yu, Yu-Wing Tai
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[DOI]
PG-Net: Pixel to Global Matching Network for Visual Tracking- Bingyan Liao, Chenye Wang, Yayun Wang, Yaonong Wang, Jun Yin
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[DOI]
Why Are Deep Representations Good Perceptual Quality Features?- Taimoor Tariq, Okan Tarhan Tursun, Munchurl Kim, Piotr Didyk
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[DOI]
Geometric Estimation via Robust Subspace Recovery- Aoxiang Fan, Xingyu Jiang, Yang Wang, Junjun Jiang, Jiayi Ma
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[DOI]
Latent Embedding Feedback and Discriminative Features for Zero-Shot Classification- Sanath Narayan, Akshita Gupta, Fahad Shahbaz Khan, Cees G. M. Snoek, Ling Shao
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[DOI]
Human Correspondence Consensus for 3D Object Semantic Understanding- Yujing Lou, Yang You, Chengkun Li, Zhoujun Cheng, Liangwei Li, Lizhuang Ma, Weiming Wang, Cewu Lu
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[DOI]
Learning Memory Augmented Cascading Network for Compressed Sensing of Images- Jiwei Chen, Yubao Sun, Qingshan Liu, Rui Huang
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[DOI]
Least squares surface reconstruction on arbitrary domains- Dizhong Zhu, William A. P. Smith
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[DOI]
Task-conditioned Domain Adaptation for Pedestrian Detection in Thermal Imagery- My Kieu, Andrew D. Bagdanov, Marco Bertini, Alberto del Bimbo
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[DOI]
Improving the Transferability of Adversarial Examples with Resized-Diverse-Inputs, Diversity-Ensemble and Region Fitting- Junhua Zou, Zhisong Pan, Junyang Qiu, Xin Liu, Ting Rui, Wei Li
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[DOI]
DADA: Differentiable Automatic Data Augmentation- Yonggang Li, Guosheng Hu, Yongtao Wang, Timothy Hospedales, Neil M. Robertson, Yongxin Yang
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[DOI]
SceneCAD: Predicting Object Alignments and Layouts in RGB-D Scans- Armen Avetisyan, Tatiana Khanova, Christopher Choy, Denver Dash, Angela Dai, Matthias Nießner
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[DOI]
Kinship Identification through Joint Learning using Kinship Verification Ensembles- Wei Wang, Shaodi You, Theo Gevers
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[DOI]
Kernelized Memory Network for Video Object Segmentation- Hongje Seong, Junhyuk Hyun, Euntai Kim
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[DOI]
A Single Stream Network for Robust and Real-time RGB-D Salient Object Detection- Xiaoqi Zhao, Lihe Zhang¹, Youwei Pang, Huchuan Lu, Lei Zhang
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[DOI]
Splitting vs. Merging: Mining Object Regions with Discrepancy and Intersection Loss for Weakly Supervised Semantic Segmentation- Tianyi Zhang, Guosheng Lin, Weide Liu, Jianfei Cai, Alex Kot
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[DOI]
Temporal Keypoint Matching and Refinement Network for Pose Estimation and Tracking- Chunluan Zhou Zhou Ren Gang Hua
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[DOI]
Neural Point-Based Graphics- Kara-Ali Aliev, Artem Sevastopolsky, Maria Kolos, Dmitry Ulyanov, Victor Lempitsky
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[DOI]
FHDe²Net: Full High Definition Demoireing Network- Bin He, Ce Wang, Boxin Shi, Ling-Yu Duan
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[DOI]
Learning Structural Similarity of User Interface Layouts using Graph Networks- Dipu Manandhar, Dan Ruta, John Collomosse
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[DOI]
NAS-Count: Counting-by-Density with Neural Architecture Search- Yutao Hu ¹, Xiaolong Jiang ², Xuhui Liu, Baochang Zhang, Jungong Han, Xianbin Cao ², David Doermann
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[DOI]
Towards Generalization Across Depth for Monocular 3D Object Detection- Andrea Simonelli, Samuel Rota Buló, Lorenzo Porzi, Elisa Ricci, Peter Kontschieder
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[DOI]
Margin-Mix: Semi–Supervised Learning for Face Expression Recognition- Corneliu Florea, Mihai Badea, Laura Florea, Andrei Racoviteanu, Constantin Vertan
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[DOI]
Principal Feature Visualisation in Convolutional Neural Networks- Marianne Bakken, Johannes Kvam, Alexey A. Stepanov, Asbjørn Berge
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[DOI]
Progressive Refinement Network for Occluded Pedestrian Detection- Xiaolin Song Kaili Zhao Wen-Sheng Chu Honggang Zhang Jun Guo
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[DOI]
Monocular Real-Time Volumetric Performance Capture- Ruilong Li, Yuliang Xiu, Shunsuke Saito, Zeng Huang, Kyle Olsewski, Hao Li
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[DOI]
The Mapillary Traffic Sign Dataset for Detection and Classification on a Global Scale- Christian Ertler, Jerneja Mislej, Tobias Ollmann, Lorenzo Porzi, Gerhard Neuhold, Yubin Kuang
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[DOI]
Measuring Generalisation to Unseen Viewpoints, Articulations, Shapes and Objects for 3D Hand Pose Estimation under Hand-Object Interaction- Anil Armagan, Guillermo Garcia-Hernando, Seungryul Baek, Shreyas Hampali, Mahdi Rad, Zhaohui Zhang, Shipeng Xie, MingXiu Chen, Boshen Zhang, Fu Xiong, Yang Xiao, Zhiguo Cao, Junsong Yuan, Pengfei Ren⁸, Weiting Huang⁸, Haifeng Sun⁸, Marek Hrúz⁹, Jakub Kanis⁹, Zdeněk Krňoul⁹, Qingfu Wan, Shile Li, Linlin Yang, Dongheui Lee, Angela Yao, Weiguo Zhou, Sijia Mei, Yunhui Liu, Adrian Spurr, Umar Iqbal, Pavlo Molchanov, Philippe Weinzaepfel, Romain Brégier, Grégory Rogez, Vincent Lepetit, Tae-Kyun Kim
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Disentangling Multiple Features in Video Sequences using Gaussian Processes in Variational Autoencoders- Sarthak Bhagat, Shagun Uppal, Zhuyun Yin, Nengli Lim
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SEN: A Novel Feature Normalization Dissimilarity Measure for Prototypical Few-Shot Learning Networks- Van Nhan Nguyen, Sigurd Løkse, Kristoffer Wickstrøm, Michael Kampffmeyer, Davide Roverso, Robert Jenssen
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Kinematic 3D Object Detection in Monocular Video- Garrick Brazil, Gerard Pons-Moll, Xiaoming Liu, Bernt Schiele
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Describing Unseen Videos via Multi-Modal Cooperative Dialog Agents- Ye Zhu, Yu Wu, Yi Yang, Yan Yan
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SACA Net: Cybersickness Assessment of Individual Viewers for VR Content via Graph-based Symptom Relation Embedding- Sangmin Lee, Jung Uk Kim, Hak Gu Kim, Seongyeop Kim, Yong Man Ro
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End-to-End Low Cost Compressive Spectral Imaging with Spatial-Spectral Self-Attention- Ziyi Meng, Jiawei Ma, Xin Yuan
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Know Your Surroundings: Exploiting Scene Information for Object Tracking- Goutam Bhat, Martin Danelljan, Luc Van Gool, Radu Timofte
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Practical Detection of Trojan Neural Networks: Data-Limited and Data-Free Cases- Ren Wang, Gaoyuan Zhang, Sijia Liu, Pin-Yu Chen, Jinjun Xiong, Meng Wang
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Anatomy-Aware Siamese Network: Exploiting Semantic Asymmetry for Accurate Pelvic Fracture Detection in X-ray Images- Haomin Chen, Yirui Wang, Kang Zheng, Weijian Li, Chi-Tung Chang, Adam P. Harrison, Jing Xiao, Gregory D. Hager, Le Lu, Chien-Hung Liao, Shun Miao
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DeepLandscape: Adversarial Modeling of Landscape Videos- Elizaveta Logacheva, Roman Suvorov, Oleg Khomenko, Anton Mashikhin, Victor Lempitsky
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GANwriting: Content-Conditioned Generation of Styled Handwritten Word Images- Lei Kang, Pau Riba, Yaxing Wang, Marçal Rusiñol, Alicia Fornés, Mauricio Villegas
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Spatial-Angular Interaction for Light Field Image Super-Resolution- Yingqian Wang, Longguang Wang, Jungang Yang, Wei An, Jingyi Yu, Yulan Guo
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BATS: Binary ArchitecTure Search- Adrian Bulat, Brais Martinez, Georgios Tzimiropoulos
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A Closer Look at Local Aggregation Operators in Point Cloud Analysis- Ze Liu(†), Han Hu, Yue Cao, Zheng Zhang, Xin Tong
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Look here! A parametric learning based approach to redirect visual attention- Youssef A. Mejjati, Celso F. Gomez, Kwang In Kim, Eli Shechtman, Zoya Bylinskii
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Variational Diffusion Autoencoders with Random Walk Sampling- Henry Li, Ofir Lindenbaum, Xiuyuan Cheng, Alexander Cloninger
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Adaptive Variance Based Label Distribution Learning For Facial Age Estimation- Xin Wen, Biying Li, Haiyun Guo, Zhiwei Liu, Guosheng Hu, Ming Tang, Jinqiao Wang
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Connecting the Dots: Detecting Adversarial Perturbations Using Context Inconsistency- Shasha Li, Shitong Zhu, Sudipta Paul, Amit Roy-Chowdhury, Chengyu Song, Srikanth Krishnamurthy, Ananthram Swami, Kevin S Chan
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Perceive, Predict, and Plan: Safe Motion Planning Through Interpretable Semantic Representations- Abbas Sadat, Sergio Casas, Mengye Ren, Xinyu Wu, Pranaab Dhawan, Raquel Urtasun
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VarSR: Variational Super-Resolution Network for Very Low Resolution Images- Sangeek Hyun, Jae-Pil Heo
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Co-Heterogeneous and Adaptive Segmentation from Multi-Source and Multi-Phase CT Imaging Data: A Study on Pathological Liver and Lesion Segmentation- Ashwin Raju, Chi-Tung Cheng, Yuankai Huo, Jinzheng Cai, Junzhou Huang, Jing Xiao, Le Lu, ChienHung Liao, Adam P. Harrison
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Towards Recognizing Unseen Categories in Unseen Domains- Massimiliano Mancini, Zeynep Akata, Elisa Ricci, Barbara Caputo
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Square Attack: a query-efficient black-box adversarial attack via random search- Maksym Andriushchenko, Francesco Croce, Nicolas Flammarion, Matthias Hein
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You Are Here: Geolocation by Embedding Maps and Images- Noe Samano, Mengjie Zhou, Andrew Calway
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Segmentations-Leak: Membership Inference Attacks and Defenses in Semantic Image Segmentation- Yang He, Shadi Rahimian, Bernt Schiele, Mario Fritz
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From Image to Stability: Learning Dynamics from Human Pose- Jesse Scott, Bharadwaj Ravichandran, Christopher Funk, Robert T. Collins, Yanxi Liu
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LevelSet R-CNN: A Deep Variational Method for Instance Segmentation- Namdar Homayounfar Yuwen Xiong Justin Liang Wei-Chiu Ma Raquel Urtasun {namdar,yuwen,justin.liang,weichiu,urtasun}@uber.com
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Efficient Scale-Permuted Backbone with Learned Resource Distribution- Xianzhi Du, Tsung-Yi Lin, Pengchong Jin, Yin Cui Mingxing Tan, Quoc Le, Xiaodan Song
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Reducing Distributional Uncertainty by Mutual Information Maximisation and Transferable Feature Learning- Jian Gao, Yang Hua, Guosheng Hu, Chi Wang, Neil M. Robertson
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Bridging Knowledge Graphs to Generate Scene Graphs- Alireza Zareian, Svebor Karaman, Shih-Fu Chang
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Implicit Latent Variable Model for Scene-Consistent Motion Forecasting- Sergio Casas, Cole Gulino, Simon Suo, Katie Luo, Renjie Liao, Raquel Urtasun
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Learning Visual Commonsense for Robust Scene Graph Generation- Alireza Zareian, Zhecan Wang, Haoxuan You, Shih-Fu Chang
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MPCC: Matching Priors and Conditionals for Clustering- Nicolás Astorga, Pablo Huijse, Pavlos Protopapas, Pablo Estévez
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PointAR: Efficient Lighting Estimation for Mobile Augmented Reality- Yiqin Zhao, Tian Guo
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Discrete Point Flow Networks for Efficient Point Cloud Generation- Roman Klokov, Edmond Boyer, Jakob Verbeek
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Accelerating Deep Learning with Millions of Classes- Zhuoning Yuan, Zhishuai Guo, Xiaotian Yu, Xiaoyu Wang, Tianbao Yang
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Password-conditioned Anonymization and Deanonymization with Face Identity Transformers- Xiuye Gu, Weixin Luo, Michael S. Ryoo, Yong Jae Lee
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Inertial Safety from Structured Light- Sizhuo Ma, Mohit Gupta
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PointTriNet: Learned Triangulation of 3D Point Sets- Nicholas Sharp, Maks Ovsjanikov
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Toward Unsupervised, Multi-Object Discovery in Large-Scale Image Collections- Huy V. Vo, Patrick Pérez, Jean Ponce
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Deep Novel View Synthesis from Colored 3D Point Clouds- Zhenbo Song, Wayne Chen, Dylan Campbell, Hongdong Li
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Consensus-Aware Visual-Semantic Embedding for Image-Text Matching- Haoran Wang, Ying Zhang, Zhong Ji, Yanwei Pang, Lin Ma
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Spatial Hierarchy Aware Residual Pyramid Network for Time-of-Flight Depth Denoising- Guanting Dong, Yueyi Zhang, Zhiwei Xiong
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Sat2Graph: Road Graph Extraction through Graph-Tensor Encoding- Songtao He, Favyen Bastani, Satvat Jagwani, Mohammad Alizadeh, Hari Balakrishnan, Sanjay Chawla, Mohamed M. Elshrif, Samuel Madden, Mohammad Amin Sadeghi
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Cross-Task Transfer for Geotagged Audiovisual Aerial Scene Recognition- Di Hu, Xuhong Li, Lichao Mou, Pu Jin, Dong Chen, Liping Jing, Xiaoxiang Zhu, Dejing Dou
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Polarimetric Multi-View Inverse Rendering- Jinyu Zhao, Yusuke Monno, Masatoshi Okutomi
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SideInfNet: A Deep Neural Network for Semi-Automatic Semantic Segmentation with Side Information- Jing Yu Koh, Duc Thanh Nguyen, Quang-Trung Truong, Sai-Kit Yeung, Alexander Binder
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Improving Face Recognition by Clustering Unlabeled Faces in the Wild- Aruni RoyChowdhury, Xiang Yu, Kihyuk Sohn, Erik Learned-Miller, Manmohan Chandraker
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NeuRoRA: Neural Robust Rotation Averaging- Pulak Purkait, Tat-Jun Chin, Ian Reid
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SG-VAE: Scene Grammar Variational Autoencoder to generate new indoor scenes- Pulak Purkait, Christopher Zach, Ian Reid
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Unsupervised Learning of Optical Flow with Deep Feature Similarity- Woobin Im, Tae-Kyun Kim, Sung-Eui Yoon
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[DOI]
Blended Grammar Network for Human Parsing- Xiaomei Zhang, Yingying Chen, Bingke Zhu, Jinqiao Wang, Ming Tang
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P²Net: Patch-match and Plane-regularization for Unsupervised Indoor Depth Estimation- Zehao Yu, Lei Jin, Shenghua Gao
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Efficient Attention Mechanism for Visual Dialog that can Handle All the Interactions between Multiple Inputs- Van-Quang Nguyen, Masanori Suganuma, Takayuki Okatani
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Adaptive Mixture Regression Network with Local Counting Map for Crowd Counting- Xiyang Liu, Jie Yang, Wenrui Ding, Tieqiang Wang, Zhijin Wang, Junjun Xiong
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BIRNAT: Bidirectional Recurrent Neural Networks with Adversarial Training for Video Snapshot Compressive Imaging- Ziheng Cheng, Ruiying Lu, Zhengjue Wang, Hao Zhang, Bo Chen, Ziyi Meng, Xin Yuan
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Ultra Fast Structure-aware Deep Lane Detection- Zequn Qin, Huanyu Wang, Xi Li
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Cross-Identity Motion Transfer for Arbitrary Objects through Pose-Attentive Video Reassembling- Subin Jeon, Seonghyeon Nam, Seoung Wug Oh, Seon Joo Kim
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Domain Adaptive Object Detection via Asymmetric Tri-way Faster-RCNN- Zhenwei He, Lei Zhang
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Exclusivity-Consistency Regularized Knowledge Distillation for Face Recognition- Xiaobo Wang, Tianyu Fu, Shengcai Liao, Shuo Wang, Zhen Lei, Tao Mei
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Learning Camera-Aware Noise Models- Ke-Chi Chang, Ren Wang, Hung-Jin Lin, Yu-Lun Liu, Chia-Ping Chen, Yu-Lin Chang, Hwann-Tzong Chen
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Towards Precise Completion of Deformable Shapes- Oshri Halimi, Ido Imanuel, Or Litany, Giovanni Trappolini, Emanuele Rodolà, Leonidas Guibas, Ron Kimmel
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Iterative Distance-Aware Similarity Matrix Convolution with Mutual-Supervised Point Elimination for Efficient Point Cloud Registration- Jiahao Li, Changhao Zhang, Ziyao Xu, Hangning Zhou, Chi Zhang
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Pairwise Similarity Knowledge Transfer for Weakly Supervised Object Localization- Amir Rahimi, Amirreza Shaban, Thalaiyasingam Ajanthan, Richard Hartley, Byron Boots
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Environment-agnostic Multitask Learning for Natural Language Grounded Navigation- Xin Eric Wang, Vihan Jain, Eugene Ie, William Yang Wang, Zornitsa Kozareva, Sujith Ravi[2]
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TPFN: Applying Outer Product along Time to Multimodal Sentiment Analysis Fusion on Incomplete Data- Binghua Li, Chao Li, Feng Duan, Ning Zheng, Qibin Zhao
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ProxyNCA++: Revisiting and Revitalizing Proxy Neighborhood Component Analysis- Eu Wern Teh, Terrance DeVries, Graham W. Taylor
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Learning with Privileged Information for Efficient Image Super-Resolution- Wonkyung Lee, Junghyup Lee, Dohyung Kim, Bumsub Ham
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Joint Visual and Temporal Consistency for Unsupervised Domain Adaptive Person Re-Identification- Jianing Li,, Shiliang Zhang
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Autoencoder-based Graph Construction for Semi-supervised Learning- Mingeun Kang, Kiwon Lee, Yong H. Lee, Changho Suh
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Virtual Multi-view Fusion for 3D Semantic Segmentation- Abhijit Kundu, Xiaoqi Yin, Alireza Fathi, David Ross, Brian Brewington, Thomas Funkhouser, Caroline Pantofaru
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Decoupling GCN with DropGraph Module for Skeleton-Based Action Recognition- Ke Cheng, Yifan Zhang, Congqi Cao, Lei Shi, Jian Cheng, Hanqing Lu
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Deep Shape from Polarization- Yunhao Ba, Alex Gilbert, Franklin Wang, Jinfa Yang, Rui Chen, Yiqin Wang, Lei Yan, Boxin Shi, Achuta Kadambi
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A Boundary Based Out-of-Distribution Classifier for Generalized Zero-Shot Learning- Xingyu Chen, Xuguang Lan, Fuchun Sun, Nanning Zheng
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Mind the Discriminability: Asymmetric Adversarial Domain Adaptation- Jianfei Yang, Han Zou, Yuxun Zhou, Zhaoyang Zeng, Lihua Xie ()
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SeqXY2SeqZ: Structure Learning for 3D Shapes by Sequentially Predicting 1D Occupancy Segments From 2D Coordinates- Zhizhong Han, Guanhui Qiao, Yu-Shen Liu, Matthias Zwicker
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Simultaneous Detection and Tracking with Motion Modelling for Multiple Object Tracking- ShiJie Sun, Naveed Akhtar, XiangYu Song, HuanSheng Song, Ajmal Mian , Mubarak Shah
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Deep FusionNet for Point Cloud Semantic Segmentation- Feihu Zhang Jin Fang Benjamin Wah Philip Torr
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Deep Material Recognition in Light-Fields via Disentanglement of Spatial and Angular Information- Bichuan Guo, Jiangtao Wen, Yuxing Han
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Dual Adversarial Network for Deep Active Learning- Shuo Wang, Yuexiang Li, Kai Ma, Ruhui Ma, Haibing Guan, Yefeng Zheng
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Fully Convolutional Networks for Continuous Sign Language Recognition- Ka Leong Cheng, Zhaoyang Yang, Qifeng Chen, Yu-Wing Tai
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Self-adapting confidence estimation for stereo- Matteo Poggi, Filippo Aleotti, Fabio Tosi, Giulio Zaccaroni, Stefano Mattoccia
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Deep Surface Normal Estimation on the 2-Sphere with Confidence Guided Semantic Attention- Quewei Li, Jie Guo, Yang Fei, Qinyu Tang, Wenxiu Sun, Jin Zeng, Yanwen Guo
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AutoSTR: Efficient Backbone Search for Scene Text Recognition- Hui Zhang, Quanming Yao, Mingkun Yang, Yongchao Xu, Xiang Bai
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Mitigating Embedding and Class Assignment Mismatch in Unsupervised Image Classification- Sungwon Han, Sungwon Park, Sungkyu Park, Sundong Kim, Meeyoung Cha
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[DOI]
Adversarial Training with Bi-directional Likelihood Regularization for Visual Classification- Weitao Wan, Jiansheng Chen, Ming-Hsuan Yang
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Faster AutoAugment: Learning Augmentation Strategies Using Backpropagation- Ryuichiro Hataya, Zdenek Jan, Kazuki Yoshizoe, Hideki Nakayama
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Hand-Transformer: Non-Autoregressive Structured Modeling for 3D Hand Pose Estimation- Lin Huang, Jianchao Tan, Ji Liu, Junsong Yuan
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Boundary-Aware Cascade Networks for Temporal Action Segmentation- Zhenzhi Wang, Ziteng Gao, Limin Wang, Zhifeng Li, Gangshan Wu
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Towards Content-Independent Multi-Reference Super-Resolution: Adaptive Pattern Matching and Feature Aggregation- Xu Yan, Weibing Zhao, Kun Yuan, Ruimao Zhang, Zhen Li, Shuguang Cui
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Inference Graphs for CNN Interpretation- Yael Konforti, Alon Shpigler, Boaz Lerner, Aharon Bar-Hillel
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An End-to-End OCR Text Re-organization Sequence Learning for Rich-text Detail Image Comprehension- Liangcheng Li, Feiyu Gao, Jiajun Bu, Yongpan Wang, Zhi Yu, Qi Zheng
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Improving Query Efficiency of Black-box Adversarial Attack- Yang Bai, Yuyuan Zeng, Yong Jiang, Yisen Wang, Shu-Tao Xia, Weiwei Guo
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Self-similarity Student for Partial Label Histopathology Image Segmentation- Hsien-Tzu Cheng, Chun-Fu Yeh, Po-Chen Kuo, Andy Wei, Keng-Chi Liu, Mong-Chi Ko, Kuan-Hua Chao, Yu-Ching Peng, Tyng-Luh Liu
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BioMetricNet: deep unconstrained face verification through learning of metrics regularized onto Gaussian distributions- Arslan Ali, Matteo Testa, Tiziano Bianchi, Enrico Magli
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A Decoupled Learning Scheme for Real-world Burst Denoising from Raw Images- Zhetong Liang, Shi Guo, Hong Gu, Huaqi Zhang, Lei Zhang
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Global-and-Local Relative Position Embedding for Unsupervised Video Summarization- Yunjae Jung, Donghyeon Cho, Sanghyun Woo, In So Kweon
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Real-World Blur Dataset for Learning and Benchmarking Deblurring Algorithms- Jaesung Rim, Haeyun Lee, Jucheol Won, Sunghyun Cho
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SPARK: Spatial-aware Online Incremental Attack Against Visual Tracking- Qing Guo, Xiaofei Xie, Felix Juefei-Xu, Lei Ma, Zhongguo Li, Wanli Xue, Wei Feng, Yang Liu
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CenterNet Heatmap Propagation for Real-time Video Object Detection- Zhujun Xu, Emir Hrustic, Damien Vivet
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Hierarchical Dynamic Filtering Network for RGB-D Salient Object Detection- Youwei Pang, Lihe Zhang, Xiaoqi Zhao, Huchuan Lu
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SOLAR: Second-Order Loss and Attention for Image Retrieval- Tony Ng, Vassileios Balntas, Yurun Tian, Krystian Mikolajczyk
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Fixing Localization Errors to Improve Image Classification- Guolei Sun, Salman Khan, Wen Li, Hisham Cholakkal, Fahad Shahbaz Khan, Luc Van Gool
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[DOI]
PatchPerPix for Instance Segmentation- Lisa Mais, Peter Hirsch and Dagmar Kainmueller
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Attend and Segment: Attention Guided Active Semantic Segmentation- Soroush Seifi, Tinne Tuytelaars
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[DOI]
Accelerating CNN Training by Pruning Activation Gradients- Xucheng Ye, Pengcheng Dai, Junyu Luo, Xin Guo, Yingjie Qi, Jianlei Yang, Yiran Chen
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Global and Local Enhancement Networks for Paired and Unpaired Image Enhancement- Han-Ul Kim, Young Jun Koh, Chang-Su Kim
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[DOI]
Probabilistic Anchor Assignment with IoU Prediction for Object Detection- Kang Kim, Hee Seok Lee
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[DOI]
Eyeglasses 3D shape reconstruction from a single face image- Yating Wang, Quan Wang, Feng Xu
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[DOI]
Temporal Complementary Learning for Video Person Re-Identification- Ruibing Hou, Hong Chang, Bingpeng Ma, Shiguang Shan, Xilin Chen
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HoughNet: Integrating near and long-range evidence for bottom-up object detection- Nermin Samet, Samet Hicsonmez, Emre Akbas
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Graph Wasserstein Correlation Analysis for Movie Retrieval- Xueya Zhang, Tong Zhang, Xiaobin Hong, Zhen Cui, Jian Yang
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Context-Aware RCNN: A Baseline for Action Detection in Videos- Jianchao Wu, Zhanghui Kuang, Limin Wang, Wayne Zhang, Gangshan Wu
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[DOI]
Full-Time Monocular Road Detection Using Zero-Distribution Prior of Angle of Polarization- Ning Li, Yongqiang Zhao, Quan Pan, Seong G. Kong, Jonathan Cheung-Wai Chan
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A Flexible Recurrent Residual Pyramid Network for Video Frame Interpolation- Haoxian Zhang, Yang Zhao, Ronggang Wang
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Learning Enriched Features for Real Image Restoration and Enhancement- Syed Waqas Zamir, Aditya Arora, Salman Khan, Munawar Hayat, Fahad Shahbaz Khan, Ming-Hsuan Yang, Ling Shao
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Detail Preserved Point Cloud Completion via Separated Feature Aggregation- Wenxiao Zhang, Qingan Yan, Chunxia Xiao
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LabelEnc: A New Intermediate Supervision Method for Object Detection- Miao Hao, Yitao Liu, Xiangyu Zhang, Jian Sun
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Unsupervised Learning of Category-Specific Symmetric 3D Keypoints from Point Sets- Clara Fernandez-Labrador, Ajad Chhatkuli, Danda Pani Paudel, Jose J. Guerrero, Cédric Demonceaux, Luc Van Gool
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PAMS: Quantized Super-Resolution via Parameterized Max Scale- Huixia Li, Chenqian Yan, Shaohui Lin, Xiawu Zheng, Baochang Zhang, Fan Yang, Rongrong Ji
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SSN: Shape Signature Networks for Multi-class Object Detection from Point Clouds- Xinge Zhu Yuexin Ma Tai Wang Yan Xu Jianping Shi Dahua Lin
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OID: Outlier Identifying and Discarding in Blind Image Deblurring- Liang Chen, Faming Fang, Jiawei Zhang, Jun Liu, Guixu Zhang
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Few-Shot Single-View 3-D Object Reconstruction with Compositional Priors- Mateusz Michalkiewicz, Sarah Parisot, Stavros Tsogkas, Mahsa Baktashmotlagh, Anders Eriksson, Eugene Belilovsky
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Enhanced Sparse Model for Blind Deblurring- Liang Chen, Faming Fang, Shen Lei, Fang Li, Guixu Zhang
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SumGraph: Video Summarization via Recursive Graph Modeling- Jungin Park, Jiyoung Lee, Ig-Jae Kim, Kwanghoon Sohn
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Feature Normalized Knowledge Distillation for Image Classification- Kunran Xu, Lai Rui, Yishi Li, Lin Gu
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A Metric Learning Reality Check- Kevin Musgrave, Serge Belongie, Ser-Nam Lim
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FTL: A universal framework for training low-bit DNNs via Feature Transfer- Kunyuan Du, Ya Zhang, Haibing Guan, Qi Tian, Shenggan Cheng, James Lin
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XingGAN for Person Image Generation- Hao Tang, Song Bai, Li Zhang, Philip H.S. Torr, Nicu Sebe
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GATCluster: Self-Supervised Gaussian-Attention Network for Image Clustering- Chuang Niu, Jun Zhang, Ge Wang, Jimin Liang
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VCNet: A Robust Approach to Blind Image Inpainting- Yi Wang, Ying-Cong Chen, Xin Tao, Jiaya Jia
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Learning to Predict Context-adaptive Convolution for Semantic Segmentation- Jianbo Liu, Junjun He, Yu Qiao, Jimmy S. Ren, Hongsheng Li
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EfficientFCN: Holistically-guided Decoding for Semantic Segmentation- Jianbo Liu, Junjun He, Jiawei Zhang, Jimmy S. Ren, Hongsheng Li
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GroSS: Group-Size Series Decomposition for Grouped Architecture Search- Henry Howard-Jenkins, Yiwen Li, Victor Adrian Prisacariu
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Efficient Adversarial Attacks for Visual Object Tracking- Siyuan Liang, Xingxing Wei, Siyuan Yao, Xiaochun Cao
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[DOI]
Globally-Optimal Event Camera Motion Estimation- Xin Peng, Yifu Wang, Ling Gao, Laurent Kneip
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Weakly-supervised Learning of Human Dynamics- Petrissa Zell, Bodo Rosenhahn, Bastian Wandt
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Journey Towards Tiny Perceptual Super-Resolution- Royson Lee, Łukasz Dudziak, Mohamed Abdelfattah, Stylianos I. Venieris, Hyeji Kim, Hongkai Wen, Nicholas D. Lane
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What makes fake images detectable? Understanding properties that generalize- Lucy Chai, David Bau, Ser-Nam Lim, Phillip Isola
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Embedding Propagation: Smoother Manifold for Few-Shot Classification- Pau Rodríguez, Issam Laradji, Alexandre Drouin, Alexandre Lacoste
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Category Level Object Pose Estimation via Neural Analysis-by-Synthesis- Xu Chen, Zijian Dong, Jie Song, Andreas Geiger, Otmar Hilliges
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High-Fidelity Synthesis with Disentangled Representation- Wonkwang Lee, Donggyun Kim, Seunghoon Hong, Honglak Lee
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PL₁P - Point-line Minimal Problems under Partial Visibility in Three Views- Timothy Duff, Kathlén Kohn, Anton Leykin, Tomas Pajdla
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Prediction and Recovery for Adaptive Low-Resolution Person Re-Identification- Ke Han, Yan Huang, Zerui Chen, Liang Wang, Tieniu Tan
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Learning Canonical Representations for Scene Graph to Image Generation- Roei Herzig, Amir Bar, Huijuan Xu, Gal Chechik, Trevor Darrell, Amir Globerson
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Adversarial Robustness on In- and Out-Distribution Improves Explainability- Maximilian Augustin, Alexander Meinke, Matthias Hein
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Deformable Style Transfer- Sunnie S. Y. Kim, Nicholas Kolkin, Jason Salavon, Gregory Shakhnarovich
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Aligning Videos in Space and Time- Senthil Purushwalkam, Tian Ye, Saurabh Gupta, Abhinav Gupta
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Neural Wireframe Renderer: Learning Wireframe to Image Translations- Yuan Xue, Zihan Zhou, Xiaolei Huang
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RBF-Softmax: Learning Deep Representative Prototypes with Radial Basis Function Softmax- Xiao Zhang, Rui Zhao, Yu Qiao, Hongsheng Li
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Testing the Safety of Self-driving Vehicles by Simulating Perception and Prediction- Kelvin Wong, Qiang Zhang, Ming Liang, Bin Yang, Renjie Liao, Abbas Sadat, Raquel Urtasun
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Determining the Relevance of Features for Deep Neural Networks- Christian Reimers, Jakob Runge, Joachim Denzler
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Weakly Supervised Semantic Segmentation with Boundary Exploration- Liyi Chen, Weiwei Wu, Chenchen Fu, Xiao Han, Yuntao Zhang
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GANHopper: Multi-Hop GAN for Unsupervised Image-to-Image Translation- Wallace Lira, Johannes Merz, Daniel Ritchie, Daniel Cohen-Or, Hao Zhang
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DOPE: Distillation Of Part Experts for whole-body 3D pose estimation in the wild- Philippe Weinzaepfel, Romain Brégier, Hadrien Combaluzier, Vincent Leroy, Grégory Rogez
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Multi-view adaptive graph convolutions for graph classification- Nikolas Adaloglou, Nicholas Vretos, Petros Daras
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Instance Adaptive Self-Training for Unsupervised Domain Adaptation- Ke Mei, Chuang Zhu, Jiaqi Zou, Shanghang Zhang
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Weight Decay Scheduling and Knowledge Distillation for Active Learning- Juseung Yun, Byungjoo Kim, Junmo Kim
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HMQ: Hardware Friendly Mixed Precision Quantization Block for CNNs- Hai Victor Habi, Roy H. Jennings, Arnon Netzer
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Truncated Inference for Latent Variable Optimization Problems: Application to Robust Estimation and Learning- Christopher Zach, Huu Le
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Geometry Constrained Weakly Supervised Object Localization- Weizeng Lu, Xi Jia, Weicheng Xie, Linlin Shen, Yicong Zhou, Jinming Duan
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Duality Diagram Similarity: a generic framework for initialization selection in task transfer learning- Kshitij Dwivedi, Jiahui Huang, Radoslaw Martin Cichy, Gemma Roig
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OneGAN: Simultaneous Unsupervised Learning of Conditional Image Generation, Foreground Segmentation, and Fine-Grained Clustering- Yaniv Benny, Lior Wolf
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Mining self-similarity: Label super-resolution with epitomic representations- Nikolay Malkin, Anthony Ortiz, Nebojsa Jojic
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AE-OT-GAN: Training GANs from data specific latent distribution- Dongsheng An, Yang Guo, Min Zhang, Xin Qi, Na Lei, Xianfang Gu
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Null-sampling for Interpretable and Fair Representations- Thomas Kehrenberg, Myles Bartlett, Oliver Thomas, Novi Quadrianto
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Guiding Monocular Depth Estimation Using Depth-Attention Volume- Lam Huynh, Phong Nguyen-Ha, Jiri Matas, Esa Rahtu, Janne Heikkilä
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Tracking Emerges by Looking Around Static Scenes, with Neural 3D Mapping- Adam W. Harley, Shrinidhi Kowshika Lakshmikanth, Paul Schydlo, Katerina Fragkiadaki
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Boosting Weakly Supervised Object Detection with Progressive Knowledge Transfer- Yuanyi Zhong, Jianfeng Wang, Jian Peng, Lei Zhang
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BézierSketch: A generative model for scalable vector sketches- Ayan Das, Yongxin Yang, Timothy Hospedales, Tao Xiang, Yi-Zhe Song
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Semantic Relation Preserving Knowledge Distillation for Image-to-Image Translation- Zeqi Li, Ruowei Jiang,, Parham Aarabi
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Domain Adaptation Through Task Distillation- Brady Zhou, Nimit Kalra, Philipp Krähenbühl
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PatchAttack: A Black-box Texture-based Attack with Reinforcement Learning- Chenglin Yang, Adam Kortylewski, Cihang Xie, Yinzhi Cao, Alan Yuille
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More Classifiers, Less Forgetting: A Generic Multi-classifier Paradigm for Incremental Learning- Yu Liu, Sarah Parisot, Gregory Slabaugh, Xu Jia, Ales Leonardis, Tinne Tuytelaars
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Extending and Analyzing Self-Supervised Learning Across Domains- Bram Wallace, Bharath Hariharan
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Multi-Source Open-Set Deep Adversarial Domain Adaptation- Sayan Rakshit, Dipesh Tamboli, Pragati Shuddhodhan Meshram, Biplab Banerjee, Gemma Roig, Subhasis Chaudhuri
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Neural Batch Sampling with Reinforcement Learning for Semi-Supervised Anomaly Detection- Wen-Hsuan Chu, Kris M. Kitani
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LEMMA: A Multi-view Dataset for LEarning Multi-agent Multi-task Activities- Baoxiong Jia, Yixin Chen, Siyuan Huang, Yixin Zhu, Song-Chun Zhu
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Teaching Cameras to Feel: Estimating Tactile Physical Properties of Surfaces From Images- Matthew Purri, Kristin Dana
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Accurate Optimization of Weighted Nuclear Norm for Non-Rigid Structure from Motion- José Pedro Iglesias, Carl Olsson, Marcus Valtonen Örnhag
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Proposal-based Video Completion- Yuan-Ting Hu, Heng Wang, Nicolas Ballas, Kristen Grauman, Alexander G. Schwing
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HGNet: Hybrid Generative Network for Zero-shot Domain Adaptation- Haifeng Xia, Zhengming Ding
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Beyond Monocular Deraining: Stereo Image Deraining via Semantic Understanding- Kaihao Zhang, Wenhan Luo, Wenqi Ren, Jingwen Wang Fang Zhao, Lin Ma , Hongdong Li
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DBQ: A Differentiable Branch Quantizer for Lightweight Deep Neural Networks- Hassan Dbouk, Hetul Sanghvi, Mahesh Mehendale, Naresh Shanbhag
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All at Once: Temporally Adaptive Multi-Frame Interpolation with Advanced Motion Modeling- Zhixiang Chi, Rasoul Mohammadi Nasiri, Zheng Liu, Juwei Lu, Jin Tang , Konstantinos N Plataniotis
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A Broader Study of Cross-Domain Few-Shot Learning- Yunhui Guo, Noel C. Codella, Leonid Karlinsky, James V. Codella, John R. Smith, Kate Saenko, Tajana Rosing, Rogerio Feris
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Practical Poisoning Attacks on Neural Networks- Junfeng Guo, Cong Liu
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Unsupervised Domain Adaptation in the Dissimilarity Space for Person Re-identification- Djebril Mekhazni, Amran Bhuiyan, George Ekladious, Eric Granger
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Learn distributed GAN with Temporary Discriminators- Hui Qu, Yikai Zhang, Qi Chang, Zhennan Yan, Chao Chen, Dimitris Metaxas
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SemifreddoNets: Partially Frozen Neural Networks for Efficient Computer Vision Systems- Leo F Isikdogan, Bhavin V Nayak, Chyuan-Tyng Wu, Joao Peralta Moreira , Sushma Rao, Gilad Michael
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Improving Adversarial Robustness by Enforcing Local and Global Compactness- Anh Bui, Trung Le, He Zhao, Paul Montague, Olivier deVel, Tamas Abraham, Dinh Phung
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TopoAL: An Adversarial Learning Approach for Topology-Aware Road Segmentation- Subeesh Vasu, Mateusz Kozinski, Leonardo Citraro, and Pascal Fua
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Channel selection using Gumbel Softmax- Charles Herrmann, Richard Strong Bowen, Ramin Zabih
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Exploiting Temporal Coherence for Self-Supervised One-shot Video Re-identification- Dripta S. Raychaudhuri, Amit K. Roy-Chowdhury
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An Efficient Training Framework for Reversible Neural Architectures- Zixuan Jiang, Keren Zhu, Mingjie Liu, Jiaqi Gu, David Z. Pan
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Box2Seg: Attention Weighted Loss and Discriminative Feature Learning for Weakly Supervised Segmentation- Viveka Kulharia, Siddhartha Chandra, Amit Agrawal, Philip Torr, Ambrish Tyagi
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FreeCam3D: Snapshot Structured Light 3D with Freely-Moving Cameras- Yicheng Wu, Vivek Boominathan, Xuan Zhao, Jacob T. Robinson, Hiroshi Kawasaki, Aswin Sankaranarayanan, Ashok Veeraraghavan
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One-Pixel Signature: Characterizing CNN Models for Backdoor Detection- Shanjiaoyang Huang, Weiqi Peng, Zhiwei Jia, Zhuowen Tu
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Learning to Transfer Learn: Reinforcement Learning-Based Selection for Adaptive Transfer Learning- Linchao Zhu, Sercan . Arık, Yi Yang, Tomas Pfister
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Structure-Aware Generation Network for Recipe Generation from Images- Hao Wang, Guosheng Lin, Steven C. H. Hoi, Chunyan Miao
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A Simple and Effective Framework for Pairwise Deep Metric Learning- Qi Qi, Yan Yan, Zixuan Wu, Xiaoyu Wang, Tianbao Yang
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Meta-rPPG: Remote Heart Rate Estimation Using a Transductive Meta-Learner- Eugene Lee, Evan Chen, Chen-Yi Lee
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A Recurrent Transformer Network for Novel View Action Synthesis- Kara Marie Schatz, Erik Quintanilla, Shruti Vyas, Yogesh S Rawat
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Multi-view Action Recognition using Cross-view Video Prediction- Shruti Vyas, Yogesh S Rawat, Mubarak Shah
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Learning Discriminative Feature with CRF for Unsupervised Video Object Segmentation- Mingmin Zhen, Shiwei Li, Lei Zhou, Jiaxiang Shang, Haoan Feng, Tian Fang, Long Quan
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SMART: Simultaneous Multi-Agent Recurrent Trajectory Prediction- Sriram N N, Buyu Liu, Francesco Pittaluga, Manmohan Chandraker
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Label-Driven Reconstruction for Domain Adaptation in Semantic Segmentation- Jinyu Yang, Weizhi An, Sheng Wang, Xinliang Zhu, Chaochao Yan, Junzhou Huang
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Efficient Outdoor 3D Point Cloud Semantic Segmentation for Critical Road Objects and Distributed Contexts- Chi-Chong Wong, Chi-Man Vong
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Attributional Robustness Training using Input-Gradient Spatial Alignment- Mayank Singh, Nupur Kumari, Puneet Mangla, Abhishek Sinha, Vineeth N Balasubramanian, Balaji Krishnamurthy
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Reducing the Sim-to-Real Gap for Event Cameras- Timo Stoffregen, Cedric Scheerlinck, Davide Scaramuzza, Tom Drummond, Nick Barnes, Lindsay Kleeman, Robert Mahony
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Spatial Geometric Reasoning for Room Layout Estimation via Deep Reinforcement Learning- Liangliang Ren, Yangyang Song, Jiwen Lu, Jie Zhou
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Learning Data Augmentation Strategies for Object Detection- Barret Zoph, Ekin D. Cubuk, Golnaz Ghiasi, Tsung-Yi Lin, Jonathon Shlens, Quoc V. Le
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DA-NAS: Data Adapted Pruning for Efficient Neural Architecture Search- Xiyang Dai, Dongdong Chen, Mengchen Liu, Yinpeng Chen, Lu Yuan
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A Closer Look at Generalisation in RAVEN- Steven Spratley, Krista Ehinger, Tim Miller
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Supervised Edge Attention Network for Accurate Image Instance Segmentation- Xier Chen, Yanchao Lian, Licheng Jiao, Haoran Wang, YanJie Gao, Shi Lingling
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Discriminative Partial Domain Adversarial Network- Jian Hu, Hongya Tuo, Chao Wang, Lingfeng Qiao, Haowen Zhong, Junchi Yan, Zhongliang Jing, Henry Leung
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Differentiable Programming for Hyperspectral Unmixing using a Physics-based Dispersion Model- John Janiczek, Parth Thaker, Gautam Dasarathy, Christopher S. Edwards , Philip Christensen, Suren Jayasuriya
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Deep Cross-species Feature Learning for Animal Face Recognition via Residual Interspecies Equivariant Network- Xiao Shi, Chenxue Yang, Xue Xia, Xiujuan Chai
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Guidance and Evaluation: Semantic-Aware Image Inpainting for Mixed Scenes- Liang Liao, Jing Xiao, Zheng Wang, Chia-Wen Lin, Shin’ichi Satoh
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Sound2Sight: Generating Visual Dynamics from Sound and Context- Moitreya Chatterjee, Anoop Cherian
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3D-CVF: Generating Joint Camera and LiDAR Features Using Cross-View Spatial Feature Fusion for 3D Object Detection- Jin Hyeok Yoo, Yecheol Kim, Jisong Kim, Jun Won Choi
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NoiseRank: Unsupervised Label Noise Reduction with Dependence Models- Karishma Sharma, Pinar Donmez, Enming Luo, Yan Liu, I. Zeki Yalniz
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Fast Adaptation to Super-Resolution Networks via Meta-Learning- Seobin Park, Jinsu Yoo, Donghyeon Cho, Jiwon Kim, Tae Hyun Kim
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TP-LSD: Tri-Points Based Line Segment Detector- Siyu Huang, Fangbo Qin, Pengfei Xiong, Ning Ding, Yijia He, Xiao Liu
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SqueezeSegV3: Spatially-Adaptive Convolution for Efficient Point-Cloud Segmentation- Chenfeng Xu, Bichen Wu, Zining Wang, Wei Zhan, Peter Vajda, Kurt Keutzer, Masayoshi Tomizuka
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An Attention-driven Two-stage Clustering Method for Unsupervised Person Re-Identification- Zilong Ji, Xiaolong Zou, Xiaohan Lin, Xiao Liu, Tiejun Huang, Si Wu
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Toward Fine-grained Facial Expression Manipulation- Jun Ling, Han Xue, Li Song, Shuhui Yang, Rong Xie, Xiao Gu
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Adaptive Object Detection with Dual Multi-Label Prediction- Zhen Zhao, Yuhong Guo, Haifeng Shen, Jieping Ye
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Table Structure Recognition using Top-Down and Bottom-Up Cues- Sachin Raja, Ajoy Mondal, C V Jawahar
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Novel View Synthesis on Unpaired Data by Conditional Deformable Variational Auto-Encoder- Mingyu Yin, Li Sun, Qingli Li
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Beyond the Nav-Graph: Vision-and-Language Navigation in Continuous Environments- Jacob Krantz, Erik Wijmans, Arjun Majumdar, Dhruv Batra, Stefan Lee
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Boundary Content Graph Neural Network for Temporal Action Proposal Generation- Yueran Bai, Yingying Wang, Yunhai Tong, Yang Yang, Qiyue Liu, Junhui Liu
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Pose Augmentation: Class-agnostic Object Pose Transformation for Object Recognition- Yunhao Ge, Jiaping Zhao, Laurent Itti
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VLANet: Video-Language Alignment Network for Weakly-Supervised Video Moment Retrieval- Minuk Ma, Sunjae Yoon, Junyeong Kim, Youngjoon Lee, Sunghun Kang, Chang D. Yoo
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Attention-Based Query Expansion Learning- Albert Gordo, Filip Radenovic, Tamara Berg
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Interpretable Foreground Object Search As Knowledge Distillation- Boren Li, Po-Yu Zhuang, Jian Gu, Mingyang Li, Ping Tan
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Improving Knowledge Distillation via Category Structure- Zailiang Chen, Xianxian Zheng, Hailan Shen, Ziyang Zeng, Yukun Zhou, Rongchang Zhao
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High Resolution Zero-Shot Domain Adaptation of Synthetically Rendered Face Images- Stephan J. Garbin, Marek Kowalski, Matthew Johnson, Jamie Shotton
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Attentive Prototype Few-shot Learning with Capsule Network-based Embedding- Fangyu Wu, Jeremy S.Smith, Wenjin Lu, Chaoyi Pang, Bailing Zhang
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Weakly Supervised Instance Segmentation by Learning Annotation Consistent Instances- Aditya Arun, C.V. Jawahar, M. Pawan Kumar
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DA4AD: End-to-End Deep Attention-based Visual Localization for Autonomous Driving- Yao Zhou, Guowei Wan, Shenhua Hou, Li Yu, Gang Wang, Xiaofei Rui, Shiyu Song
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Visual-Relation Conscious Image Generation from Structured-Text- Duc Minh Vo, Akihiro Sugimoto
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Patch-wise Attack for Fooling Deep Neural Network- Lianli Gao, Qilong Zhang, Jingkuan Song, Xianglong Liu, Heng Tao Shen
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Feature Pyramid Transformer- Dong Zhang, Hanwang Zhang, Jinhui Tang, Meng Wang, Xiansheng Hua, Qianru Sun
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MABNet: A Lightweight Stereo Network Based on Multibranch Adjustable Bottleneck Module- Jiabin Xing, Zhi Qi, Jiying Dong, Jiaxuan Cai, Hao Liu
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Guided Saliency Feature Learning for Person Re-identification in Crowded Scenes- Lingxiao He, Wu Liu
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Asymmetric Two-Stream Architecture for Accurate RGB-D Saliency Detection- Miao Zhang, Sun Xiao Fei, Jie Liu, Shuang Xu, Yongri Piao, Huchuan Lu
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Explaining Image Classifiers using Statistical Fault Localization- Youcheng Sun, Hana Chockler, Xiaowei Huang, Daniel Kroening
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Deep Graph Matching via Blackbox Differentiation of Combinatorial Solvers- Michal Rolínek, Paul Swoboda, Dominik Zietlow, Anselm Paulus, Vít Musil, Georg Martius
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Learning Video Representations by Transforming Time- Simon Jenni, Givi Meishvili, Paolo Favaro
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Unsupervised Monocular Depth Estimation for Night-time Images using Adversarial Domain Feature Adaptation- Madhu Vankadari, Sourav Garg, Anima Majumder, Swagat Kumar, Ardhendu Behera
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Variational Connectionist Temporal Classification- Linlin Chao, Jingdong Chen, Wei Chu
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End-to-end Dynamic Matching Network for Multi-view Multi-person 3d Pose Estimation- Congzhentao Huang, Shuai Jiang, Yang Li, Ziyue Zhang, Jason Traish, Chen Deng, Sam Ferguson, Richard Yi Da Xu
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Orderly Disorder in Point Cloud Domain- Morteza Ghahremani, Bernard Tiddeman, Yonghuai Liu, and Ardhendu Behera
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Deep Decomposition Learning for Inverse Imaging Problems- Dongdong Chen, Mike E. Davies
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[DOI]
FLOT: Scene Flow on Point Clouds guided by Optimal Transport- Gilles Puy, Alexandre Boulch, Renaud Marlet
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Accurate Reconstruction of Oriented 3D Points using Affine Correspondences- Carolina Raposo, Joao P. Barreto
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Volumetric Transformer Networks- Seungryong Kim, Sabine Ssstrunk, Mathieu Salzmann
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360(o) Camera Alignment via Segmentation- Benjamin Davidson, Mohsan S. Alvi, João F. Henriques
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A Novel Line Integral Transform for 2D Affine-Invariant Shape Retrieval- Bin Wang, Yongsheng Gao
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[DOI]
Explanation-based Weakly-supervised Learning of Visual Relations with Graph Networks- Federico Baldassarre, Kevin Smith, Josephine Sullivan, Hossein Azizpour
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[DOI]
Guided Semantic Flow- Sangryul Jeon, Dongbo Min, Seungryong Kim, Jihwan Choe, Kwanghoon Sohn
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Document Structure Extraction using Prior based High Resolution Hierarchical Semantic Segmentation- Mausoom Sarkar, Milan Aggarwal, Arneh Jain, Hiresh Gupta, Balaji Krishnamurthy
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[DOI]
Measuring the Importance of Temporal Features in Video Saliency- Matthias Tangemann, Matthias Kümmerer, Thomas S.A. Wallis, Matthias Bethge
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Searching Efficient 3D Architectures with Sparse Point-Voxel Convolution- Haotian Tang, Zhijian Liu, Shengyu Zhao, Yujun Lin, Ji Lin, Hanrui Wang, Song Han
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[DOI]
Towards Reliable Evaluation of Algorithms for Road Network Reconstruction from Aerial Images- Leonardo Citraro, Mateusz Koziński, Pascal Fua
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[DOI]
Online Continual Learning under Extreme Memory Constraints- Enrico Fini, Stéphane Lathuilière, Enver Sangineto, Moin Nabi, Elisa Ricci
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[DOI]
Learning to Cluster under Domain Shift- Willi Menapace, Stéphane Lathuilière, Elisa Ricci
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[DOI]
Defense Against Adversarial Attacks via Controlling Gradient Leaking on Embedded Manifolds- Yueru Li, Shuyu Cheng, Hang Su, Jun Zhu
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[DOI]
Improving Optical Flow on a Pyramid Level- Markus Hofinger, Samuel Rota Bulò, Lorenzo Porzi, Arno Knapitsch, Thomas Pock, Peter Kontschieder
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[DOI]
Procrustean Regression Networks: Learning 3D Structure of Non-Rigid Objects from 2D Annotations- Sungheon Park, Minsik Lee, Nojun Kwak
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[DOI]
Learning to Learn Parameterized Classification Networks for Scalable Input Images- Duo Li, Anbang Yao, Qifeng Chen
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[DOI]
Stereo Event-based Particle Tracking Velocimetry for 3D Fluid Flow Reconstruction- Yuanhao Wang, Ramzi Idoughi, Wolfgang Heidrich
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[DOI]
Simplicial Complex based Point Correspondence between Images warped onto Manifolds- Charu Sharma, Manohar Kaul
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[DOI]
Representation Learning on Visual-Symbolic Graphs for Video Understanding- Effrosyni Mavroudi, Benjamín Béjar Haro, René Vidal
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[DOI]
Distance-Normalized Unified Representation for Monocular 3D Object Detection- Xuepeng Shi, Zhixiang Chen, Tae-Kyun Kim
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[DOI]
Sequential Deformation for Accurate Scene Text Detection- Shanyu Xiao, Liangrui Peng, Ruijie Yan, Keyu An, Gang Yao, Jaesik Min
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[DOI]
Where to Explore Next? ExHistCNN for History-aware Autonomous 3D Exploration- Yiming Wang, Alessio Del Bue
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Semi-Supervised Segmentation based on Error-Correcting Supervision- Robert Mendel, Luis Antonio de Souza Jr, David Rauber, João Paulo Papa, Christoph Palm
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[DOI]
Quantum-soft QUBO Suppression for Accurate Object Detection- Junde Li, Swaroop Ghosh
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[DOI]
Label-similarity Curriculum Learning- Ürün Dogan, Aniket Anand Deshmukh, Marcin Bronislaw Machura, Christian Igel
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[DOI]
Recurrent Image Annotation With Explicit Inter-Label Dependencies- Ayushi Dutta, Yashaswi Verma, C.V. Jawahar
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Cross-Attention in Coupled Unmixing Nets for Unsupervised Hyperspectral Super-Resolution- Jing Yao, Danfeng Hong, Jocelyn Chanussot, Deyu Meng, Xiaoxiang Zhu , Zongben Xu
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SimPose: Effectively Learning DensePose and Surface Normals of People from Simulated Data- Tyler Zhu, Per Karlsson, Christoph Bregler
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ByeGlassesGAN: Identity Preserving Eyeglasses Removal for Face Images- Yu-Hui Lee, Shang-Hong Lai
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Differentiable Joint Pruning and Quantization for Hardware Efficiency- Ying Wang, Yadong Lu, Tijmen Blankevoort
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Learning to Generate Customized Dynamic 3D Facial Expressions- Rolandos Alexandros Potamias, Jiali Zheng, Stylianos Ploumpis, Giorgos Bouritsas, Evangelos Ververas, Stefanos Zafeiriou
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LandscapeAR: Large Scale Outdoor Augmented Reality by Matching Photographs with Terrain Models Using Learned Descriptors- Jan Brejcha, Michal Lukáč, Yannick Hold-Geoffroy, Oliver Wang, Martin Čadík
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Learning Disentangled Feature Representation for Hybrid-distorted Image Restoration- Xin Li, Xin Jin, Jianxin Lin, Sen Liu, Yaojun Wu, Tao Yu, Wei Zhou , Zhibo Chen
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Jointly De-biasing Face Recognition and Demographic Attribute Estimation- Sixue Gong, Xiaoming Liu, Anil K. Jain
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Regularized Loss for Weakly Supervised Single Class Semantic Segmentation- Olga Veksler
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Spike-FlowNet: Event-based Optical Flow Estimation with Energy-Efficient Hybrid Neural Networks- Chankyu Lee, Adarsh Kumar Kosta, Alex Zihao Zhu, Kenneth Chaney, Kostas Daniilidis, Kaushik Roy
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Forgetting Outside the Box: Scrubbing Deep Networks of Information Accessible from Input-Output Observations- Aditya Golatkar, Alessandro Achille, Stefano Soatto
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Inherent Adversarial Robustness of Deep Spiking Neural Networks: Effects of Discrete Input Encoding and Non-Linear Activations- Saima Sharmin, Nitin Rathi, Priyadarshini Panda, Kaushik Roy
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Synthesizing Coupled 3D Face Modalities by Trunk-Branch Generative Adversarial Networks- Baris Gecer, Alexandros Lattas, Stylianos Ploumpis, Jiankang Deng, Athanasios Papaioannou, Stylianos Moschoglou, Stefanos Zafeiriou
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Learning to Learn Words from Visual Scenes- Dídac Surís, Dave Epstein, Heng Ji, Shih-Fu Chang, Carl Vondrick
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On Transferability of Histological Tissue Labels in Computational Pathology- Mahdi S. Hosseini, Lyndon Chan, Weimin Huang, Yichen Wang, Danial Hasan, Corwyn Rowsell, Savvas Damaskinos, Konstantinos N. Plataniotis
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Learning Actionness via Long-range Temporal Order Verification- Dimitri Zhukov, Jean-Baptiste Alayrac, Ivan Laptev, Josef Sivic
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Fully Embedding Fast Convolutional Networks on Pixel Processor Arrays- Laurie Bose, Piotr Dudek, Jianing Chen, Stephen J. Carey, Walterio W. Mayol-Cuevas
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Character Region Attention For Text Spotting- Youngmin Baek, Seung Shin, Jeonghun Baek, Sungrae Park, Junyeop Lee , Daehyun Nam, Hwalsuk Lee
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Stable Low-rank Tensor Decomposition for Compression of Convolutional Neural Network- Anh-Huy Phan, Konstantin Sobolev, Konstantin Sozykin, Dmitry Ermilov , Julia Gusak, Petr Tichavský, Valeriy Glukhov, Ivan Oseledets, Andrzej Cichocki
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Dual Mixup Regularized Learning for Adversarial Domain Adaptation- Yuan Wu, Diana Inkpen, Ahmed El-Roby
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[DOI]
Robust and On-the-fly Dataset Denoising for Image Classification- Jiaming Song, Yann Dauphin, Michael Auli, Tengyu Ma
- [pdf]
[DOI]
Imaging Behind Occluders Using Two-Bounce Light- Connor Henley, Tomohiro Maeda, Tristan Swedish, Ramesh Raskar
- [pdf]
[DOI]
Improving Object Detection with Selective Self-Supervised Self-Training- Yandong Li, Di Huang, Danfeng Qin, Liqiang Wang, Boqing Gong
- [pdf]
[DOI]
Deep Local Shapes: Learning Local SDF Priors for Detailed 3D Reconstruction- Rohan Chabra, Jan E. Lenssen, Eddy Ilg, Tanner Schmidt, Julian Straub, Steven Lovegrove, Richard Newcombe
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[DOI]
Info3D: Representation Learning on 3D Objects using Mutual Information Maximization and Contrastive Learning- Aditya Sanghi
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[DOI]
Adversarial Data Augmentation via Deformation Statistics- Sahin Olut, Zhengyang Shen, Zhenlin Xu, Samuel Gerber, Marc Niethammer
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[DOI]
Neural Predictor for Neural Architecture Search- Wei Wen, Hanxiao Liu, Yiran Chen, Hai Li, Gabriel Bender, Pieter-Jan Kindermans
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[DOI]
Learning Permutation Invariant Representations using Memory Networks- Shivam Kalra, Mohammed Adnan, Graham Taylor, H.R. Tizhoosh
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[DOI]
Feature Space Augmentation for Long-Tailed Data- Peng Chu, Xiao Bian, Shaopeng Liu, Haibin Ling
- [pdf]
[DOI]
Laying the Foundations of Deep Long-Term Crowd Flow Prediction- Samuel S. Sohn, Honglu Zhou, Seonghyeon Moon, Sejong Yoon, Vladimir Pavlovic, Mubbasir Kapadia
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[DOI]
Weakly-Supervised Action Localization with Expectation-Maximization Multi-Instance Learning- Zhekun Luo, Devin Guillory, Baifeng Shi, Wei Ke, Fang Wan, Trevor Darrell, Huijuan Xu
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[DOI]
Fairness by Learning Orthogonal Disentangled Representations- Mhd Hasan Sarhan, Nassir Navab, Abouzar Eslami, Shadi Albarqouni
- [pdf]
[DOI]
Self-supervision with Superpixels: Training Few-shot Medical Image Segmentation without Annotation- Cheng Ouyang, Carlo Biffi, Chen Chen, Turkay Kart, Huaqi Qiu, Daniel Rueckert
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[DOI]
On Diverse Asynchronous Activity Anticipation- He Zhao, Richard P. Wildes
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[DOI]
Representative-Discriminative Learning for Open-set Land Cover Classification of Satellite Imagery- Razieh Kaviani Baghbaderani, Ying Qu, Hairong Qi, Craig Stutts
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[DOI]
Structure-Aware Human-Action Generation- Ping Yu, Yang Zhao, Chunyuan Li, Junsong Yuan, Changyou Chen
- [pdf]
[DOI]
Towards Efficient Coarse-to-Fine Networks for Action and Gesture Recognition- Niamul Quader, Juwei Lu, Peng Dai, Wei Li
- [pdf]
[DOI]
S³Net: Semantic-Aware Self-supervised Depth Estimation with Monocular Videos and Synthetic Data- Bin Cheng, Inderjot Singh Saggu, Raunak Shah, Gaurav Bansal, Dinesh Bharadia
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[DOI]
Leveraging Seen and Unseen Semantic Relationships for Generative Zero-Shot Learning- Maunil R Vyas, Hemanth Venkateswara, Sethuraman Panchanathan
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[DOI]
Weight Excitation: Built-in Attention Mechanisms in Convolutional Neural Networks- Niamul Quader, Md Mafijul Islam Bhuiyan, Juwei Lu, Peng Dai, Wei Li
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[DOI]
UNITER: UNiversal Image-TExt Representation Learning- Yen-Chun Chen, Linjie Li, Licheng Yu, Ahmed El Kholy Faisal Ahmed, Zhe Gan, Yu Cheng, Jingjing Liu
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[DOI]
Oscar: Object-Semantics Aligned Pre-training for Vision-Language Tasks- Xiujun Li, Xi Yin, Chunyuan Li, Pengchuan Zhang, Xiaowei Hu, Lei Zhang, Lijuan Wang, Houdong Hu, Li Dong, Furu Wei, Yejin Choi, Jianfeng Gao
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[DOI]
Improving Face Recognition from Hard Samples via Distribution Distillation Loss- Yuge Huang, Pengcheng Shen, Ying Tai, Shaoxin Li, Xiaoming Liu, Jilin Li, Feiyue Huang, Rongrong Ji
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[DOI]
Extract and Merge: Superpixel Segmentation with Regional Attributes- Jianqiao An, Yucheng Shi, Yahong Han, Meijun Sun, Qi Tian
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[DOI]
Spatial-Adaptive Network for Single Image Denoising- Meng Chang, Qi Li, Huajun Feng, Zhihai Xu
- [pdf]
[DOI]
Physics-based Feature Dehazing Networks- Jiangxin Dong, Jinshan Pan
- [pdf]
[DOI]
Learning Surrogates via Deep Embedding- Yash Patel, Tomáš Hodaň, Jiří Matas
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[DOI]
An Asymmetric Modeling for Action Assessment- Jibin Gao, Wei-Shi Zheng, Jia-Hui Pan, Chengying Gao, Yaowei Wang, Wei Zeng, Jianhuang Lai
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[DOI]
High-quality Single-model Deep Video Compression with Frame-Conv3D and Multi-frame Differential Modulation- Wenyu Sun, Chen Tang, Weigui Li, Zhuqing Yuan, Huazhong Yang, Yongpan Liu
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[DOI]
Instance-Aware Embedding for Point Cloud Instance Segmentation- Tong He, Yifan Liu, Chunhua Shen, Xinlong Wang, Changming Sun
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[DOI]
Self-Paced Deep Regression Forests with Consideration on Underrepresented Examples- Lili Pan, Shijie Ai, Yazhou Ren, Zenglin Xu
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[DOI]
Manifold Projection for Adversarial Defense on Face Recognition- Jianli Zhou, Chao Liang, Jun Chen
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[DOI]
Weakly Supervised Learning with Side Information for Noisy Labeled Images- Lele Cheng, Xiangzeng Zhou, Liming Zhao, Dangwei Li, Hong Shang, Yun Zheng, Pan Pan, Yinghui Xu
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[DOI]
Not only Look, but also Listen: Learning Multimodal Violence Detection under Weak Supervision- Peng Wu, Jing Liu, Yujia Shi, Yujia Sun, Fangtao Shao, Zhaoyang Wu , Zhiwei Yang
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[DOI]
SNE-RoadSeg: Incorporating Surface Normal Information into Semantic Segmentation for Accurate Freespace Detection- Rui Fan, Hengli Wang, Peide Cai, Ming Liu
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[DOI]
Modeling the Space of Point Landmark Constrained Diffeomorphisms- Chengfeng Wen, Yang Guo, Xianfeng Gu
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[DOI]
PieNet: Personalized Image Enhancement Network- Han-Ul Kim, Young Jun Koh, Chang-Su Kim
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[DOI]
Rotational Outlier Identification in Pose Graphs Using Dual Decomposition- Arman Karimian, Ziqi Yang, Roberto Tron
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[DOI]
Speech-driven Facial Animation using Cascaded GANs for Learning of Motion and Texture- Dipanjan Das, Sandika Biswas, Sanjana Sinha, Brojeshwar Bhowmick
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[DOI]
Solving Phase Retrieval with a Learned Reference- Rakib Hyder, Zikui Cai, M. Salman Asif
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[DOI]
Dual Grid Net: Hand Mesh Vertex Regression from Single Depth Maps- Chengde Wan, Thomas Probst, Luc Van Gool, Angela Yao
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[DOI]
Modeling Varying Camera-IMU Time Offset in Optimization-Based Visual-Inertial Odometry- Ling, Yonggen and Bao, Linchao and Jie, Zequn and Zhu, Fengming and Li, Ziyang and Tang, Shanmin and Liu, Yongsheng and Liu, Wei and Zhang, Tong
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[bibtex]@InProceedings{Ling_2018_ECCV,
author = {Ling, Yonggen and Bao, Linchao and Jie, Zequn and Zhu, Fengming and Li, Ziyang and Tang, Shanmin and Liu, Yongsheng and Liu, Wei and Zhang, Tong},
title = {Modeling Varying Camera-IMU Time Offset in Optimization-Based Visual-Inertial Odometry},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Pose Partition Networks for Multi-Person Pose Estimation- Nie, Xuecheng and Feng, Jiashi and Xing, Junliang and Yan, Shuicheng
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[bibtex]@InProceedings{Nie_2018_ECCV,
author = {Nie, Xuecheng and Feng, Jiashi and Xing, Junliang and Yan, Shuicheng},
title = {Pose Partition Networks for Multi-Person Pose Estimation},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Consensus-Driven Propagation in Massive Unlabeled Data for Face Recognition- Zhan, Xiaohang and Liu, Ziwei and Yan, Junjie and Lin, Dahua and Change Loy, Chen
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[bibtex]@InProceedings{Zhan_2018_ECCV,
author = {Zhan, Xiaohang and Liu, Ziwei and Yan, Junjie and Lin, Dahua and Change Loy, Chen},
title = {Consensus-Driven Propagation in Massive Unlabeled Data for Face Recognition},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Open-World Stereo Video Matching with Deep RNN- Zhong, Yiran and Li, Hongdong and Dai, Yuchao
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[bibtex]@InProceedings{Zhong_2018_ECCV,
author = {Zhong, Yiran and Li, Hongdong and Dai, Yuchao},
title = {Open-World Stereo Video Matching with Deep RNN},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Deep Cross-Modal Projection Learning for Image-Text Matching- Zhang, Ying and Lu, Huchuan
- [pdf]
[bibtex]@InProceedings{Zhang_2018_ECCV,
author = {Zhang, Ying and Lu, Huchuan},
title = {Deep Cross-Modal Projection Learning for Image-Text Matching},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Gray-box Adversarial Training- Vivek, B. S. and Reddy Mopuri, Konda and Venkatesh Babu, R.
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[bibtex]@InProceedings{Vivek_2018_ECCV,
author = {Vivek, B. S. and Reddy Mopuri, Konda and Venkatesh Babu, R.},
title = {Gray-box Adversarial Training},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Multi-Class Model Fitting by Energy Minimization and Mode-Seeking- Barath, Daniel and Matas, Jiri
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[bibtex]@InProceedings{Barath_2018_ECCV,
author = {Barath, Daniel and Matas, Jiri},
title = {Multi-Class Model Fitting by Energy Minimization and Mode-Seeking},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
MRF Optimization with Separable Convex Prior on Partially Ordered Labels- Domokos, Csaba and Schmidt, Frank R. and Cremers, Daniel
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[bibtex]@InProceedings{Domokos_2018_ECCV,
author = {Domokos, Csaba and Schmidt, Frank R. and Cremers, Daniel},
title = {MRF Optimization with Separable Convex Prior on Partially Ordered Labels},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
VQA-E: Explaining, Elaborating, and Enhancing Your Answers for Visual Questions- Li, Qing and Tao, Qingyi and Joty, Shafiq and Cai, Jianfei and Luo, Jiebo
- [pdf]
[bibtex]@InProceedings{Li_2018_ECCV,
author = {Li, Qing and Tao, Qingyi and Joty, Shafiq and Cai, Jianfei and Luo, Jiebo},
title = {VQA-E: Explaining, Elaborating, and Enhancing Your Answers for Visual Questions},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Context Refinement for Object Detection- Chen, Zhe and Huang, Shaoli and Tao, Dacheng
- [pdf]
[bibtex]@InProceedings{Chen_2018_ECCV,
author = {Chen, Zhe and Huang, Shaoli and Tao, Dacheng},
title = {Context Refinement for Object Detection},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Depth Estimation via Affinity Learned with Convolutional Spatial Propagation Network- Cheng, Xinjing and Wang, Peng and Yang, Ruigang
- [pdf]
[bibtex]@InProceedings{Cheng_2018_ECCV,
author = {Cheng, Xinjing and Wang, Peng and Yang, Ruigang},
title = {Depth Estimation via Affinity Learned with Convolutional Spatial Propagation Network},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Zero-Annotation Object Detection with Web Knowledge Transfer- Tao, Qingyi and Yang, Hao and Cai, Jianfei
- [pdf]
[bibtex]@InProceedings{Tao_2018_ECCV,
author = {Tao, Qingyi and Yang, Hao and Cai, Jianfei},
title = {Zero-Annotation Object Detection with Web Knowledge Transfer},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Fast Light Field Reconstruction With Deep Coarse-To-Fine Modeling of Spatial-Angular Clues- Wing Fung Yeung, Henry and Hou, Junhui and Chen, Jie and Ying Chung, Yuk and Chen, Xiaoming
- [pdf]
[bibtex]@InProceedings{Yeung_2018_ECCV,
author = {Wing Fung Yeung, Henry and Hou, Junhui and Chen, Jie and Ying Chung, Yuk and Chen, Xiaoming},
title = {Fast Light Field Reconstruction With Deep Coarse-To-Fine Modeling of Spatial-Angular Clues},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
AGIL: Learning Attention from Human for Visuomotor Tasks- Zhang, Ruohan and Liu, Zhuode and Zhang, Luxin and Whritner, Jake A. and Muller, Karl S. and Hayhoe, Mary M. and Ballard, Dana H.
- [pdf]
[bibtex]@InProceedings{Zhang_2018_ECCV,
author = {Zhang, Ruohan and Liu, Zhuode and Zhang, Luxin and Whritner, Jake A. and Muller, Karl S. and Hayhoe, Mary M. and Ballard, Dana H.},
title = {AGIL: Learning Attention from Human for Visuomotor Tasks},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Physical Primitive Decomposition- Liu, Zhijian and Freeman, William T. and Tenenbaum, Joshua B. and Wu, Jiajun
- [pdf]
[bibtex]@InProceedings{Liu_2018_ECCV,
author = {Liu, Zhijian and Freeman, William T. and Tenenbaum, Joshua B. and Wu, Jiajun},
title = {Physical Primitive Decomposition},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Deep Expander Networks: Efficient Deep Networks from Graph Theory- Prabhu, Ameya and Varma, Girish and Namboodiri, Anoop
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[bibtex]@InProceedings{Prabhu_2018_ECCV,
author = {Prabhu, Ameya and Varma, Girish and Namboodiri, Anoop},
title = {Deep Expander Networks: Efficient Deep Networks from Graph Theory},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Real-Time MDNet- Jung, Ilchae and Son, Jeany and Baek, Mooyeol and Han, Bohyung
- [pdf]
[bibtex]@InProceedings{Jung_2018_ECCV,
author = {Jung, Ilchae and Son, Jeany and Baek, Mooyeol and Han, Bohyung},
title = {Real-Time MDNet},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
The Mutex Watershed: Efficient, Parameter-Free Image Partitioning- Wolf, Steffen and Pape, Constantin and Bailoni, Alberto and Rahaman, Nasim and Kreshuk, Anna and Kothe, Ullrich and Hamprecht, FredA.
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[bibtex]@InProceedings{Wolf_2018_ECCV,
author = {Wolf, Steffen and Pape, Constantin and Bailoni, Alberto and Rahaman, Nasim and Kreshuk, Anna and Kothe, Ullrich and Hamprecht, FredA.},
title = {The Mutex Watershed: Efficient, Parameter-Free Image Partitioning},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
MVSNet: Depth Inference for Unstructured Multi-view Stereo- Yao, Yao and Luo, Zixin and Li, Shiwei and Fang, Tian and Quan, Long
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[bibtex]@InProceedings{Yao_2018_ECCV,
author = {Yao, Yao and Luo, Zixin and Li, Shiwei and Fang, Tian and Quan, Long},
title = {MVSNet: Depth Inference for Unstructured Multi-view Stereo},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Audio-Visual Event Localization in Unconstrained Videos- Tian, Yapeng and Shi, Jing and Li, Bochen and Duan, Zhiyao and Xu, Chenliang
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[bibtex]@InProceedings{Tian_2018_ECCV,
author = {Tian, Yapeng and Shi, Jing and Li, Bochen and Duan, Zhiyao and Xu, Chenliang},
title = {Audio-Visual Event Localization in Unconstrained Videos},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Attend and Rectify: a gated attention mechanism for fine-grained recovery- Rodriguez, Pau and Gonfaus, Josep M. and Cucurull, Guillem and XavierRoca, F. and Gonzalez, Jordi
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[bibtex]@InProceedings{Rodriguez_2018_ECCV,
author = {Rodriguez, Pau and Gonfaus, Josep M. and Cucurull, Guillem and XavierRoca, F. and Gonzalez, Jordi},
title = {Attend and Rectify: a gated attention mechanism for fine-grained recovery},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
PyramidBox: A Context-assisted Single Shot Face Detector- Tang, Xu and Du, Daniel K. and He, Zeqiang and Liu, Jingtuo
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[bibtex]@InProceedings{Tang_2018_ECCV,
author = {Tang, Xu and Du, Daniel K. and He, Zeqiang and Liu, Jingtuo},
title = {PyramidBox: A Context-assisted Single Shot Face Detector},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
RT-GENE: Real-Time Eye Gaze Estimation in Natural Environments- Fischer, Tobias and Jin Chang, Hyung and Demiris, Yiannis
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[bibtex]@InProceedings{Fischer_2018_ECCV,
author = {Fischer, Tobias and Jin Chang, Hyung and Demiris, Yiannis},
title = {RT-GENE: Real-Time Eye Gaze Estimation in Natural Environments},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Contemplating Visual Emotions: Understanding and Overcoming Dataset Bias- Panda, Rameswar and Zhang, Jianming and Li, Haoxiang and Lee, Joon-Young and Lu, Xin and Roy-Chowdhury, Amit K.
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[bibtex]@InProceedings{Panda_2018_ECCV,
author = {Panda, Rameswar and Zhang, Jianming and Li, Haoxiang and Lee, Joon-Young and Lu, Xin and Roy-Chowdhury, Amit K.},
title = {Contemplating Visual Emotions: Understanding and Overcoming Dataset Bias},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Highly-Economized Multi-View Binary Compression for Scalable Image Clustering- Zhang, Zheng and Liu, Li and Qin, Jie and Zhu, Fan and Shen, Fumin and Xu, Yong and Shao, Ling and Tao Shen, Heng
- [pdf]
[bibtex]@InProceedings{Zhang_2018_ECCV,
author = {Zhang, Zheng and Liu, Li and Qin, Jie and Zhu, Fan and Shen, Fumin and Xu, Yong and Shao, Ling and Tao Shen, Heng},
title = {Highly-Economized Multi-View Binary Compression for Scalable Image Clustering},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Deep Kalman Filtering Network for Video Compression Artifact Reduction- Lu, Guo and Ouyang, Wanli and Xu, Dong and Zhang, Xiaoyun and Gao, Zhiyong and Sun, Ming-Ting
- [pdf]
[bibtex]@InProceedings{Lu_2018_ECCV,
author = {Lu, Guo and Ouyang, Wanli and Xu, Dong and Zhang, Xiaoyun and Gao, Zhiyong and Sun, Ming-Ting},
title = {Deep Kalman Filtering Network for Video Compression Artifact Reduction},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
DeepGUM: Learning Deep Robust Regression with a Gaussian-Uniform Mixture Model- Lathuiliere, Stephane and Mesejo, Pablo and Alameda-Pineda, Xavier and Horaud, Radu
- [pdf]
[bibtex]@InProceedings{Lathuiliere_2018_ECCV,
author = {Lathuiliere, Stephane and Mesejo, Pablo and Alameda-Pineda, Xavier and Horaud, Radu},
title = {DeepGUM: Learning Deep Robust Regression with a Gaussian-Uniform Mixture Model},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
ISNN: Impact Sound Neural Network for Audio-Visual Object Classification- Sterling, Auston and Wilson, Justin and Lowe, Sam and Lin, Ming C.
- [pdf]
[bibtex]@InProceedings{Sterling_2018_ECCV,
author = {Sterling, Auston and Wilson, Justin and Lowe, Sam and Lin, Ming C.},
title = {ISNN: Impact Sound Neural Network for Audio-Visual Object Classification},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Deep Cross-modality Adaptation via Semantics Preserving Adversarial Learning for Sketch-based 3D Shape Retrieval- Chen, Jiaxin and Fang, Yi
- [pdf]
[bibtex]@InProceedings{Chen_2018_ECCV,
author = {Chen, Jiaxin and Fang, Yi},
title = {Deep Cross-modality Adaptation via Semantics Preserving Adversarial Learning for Sketch-based 3D Shape Retrieval},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Learning to Blend Photos- Hung, Wei-Chih and Zhang, Jianming and Shen, Xiaohui and Lin, Zhe and Lee, Joon-Young and Yang, Ming-Hsuan
- [pdf]
[bibtex]@InProceedings{Hung_2018_ECCV,
author = {Hung, Wei-Chih and Zhang, Jianming and Shen, Xiaohui and Lin, Zhe and Lee, Joon-Young and Yang, Ming-Hsuan},
title = {Learning to Blend Photos},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Second-order Democratic Aggregation- Lin, Tsung-Yu and Maji, Subhransu and Koniusz, Piotr
- [pdf]
[bibtex]@InProceedings{Lin_2018_ECCV,
author = {Lin, Tsung-Yu and Maji, Subhransu and Koniusz, Piotr},
title = {Second-order Democratic Aggregation},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Recurrent Fusion Network for Image captioning- Jiang, Wenhao and Ma, Lin and Jiang, Yu-Gang and Liu, Wei and Zhang, Tong
- [pdf]
[bibtex]@InProceedings{Jiang_2018_ECCV,
author = {Jiang, Wenhao and Ma, Lin and Jiang, Yu-Gang and Liu, Wei and Zhang, Tong},
title = {Recurrent Fusion Network for Image captioning},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Grounding Visual Explanations- Anne Hendricks, Lisa and Hu, Ronghang and Darrell, Trevor and Akata, Zeynep
- [pdf]
[bibtex]@InProceedings{Hendricks_2018_ECCV,
author = {Anne Hendricks, Lisa and Hu, Ronghang and Darrell, Trevor and Akata, Zeynep},
title = {Grounding Visual Explanations},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
A Dataset of Flash and Ambient Illumination Pairs from the Crowd- Aksoy, Yagiz and Kim, Changil and Kellnhofer, Petr and Paris, Sylvain and Elgharib, Mohamed and Pollefeys, Marc and Matusik, Wojciech
- [pdf]
[bibtex]@InProceedings{Aksoy_2018_ECCV,
author = {Aksoy, Yagiz and Kim, Changil and Kellnhofer, Petr and Paris, Sylvain and Elgharib, Mohamed and Pollefeys, Marc and Matusik, Wojciech},
title = {A Dataset of Flash and Ambient Illumination Pairs from the Crowd},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Deep Continuous Fusion for Multi-Sensor 3D Object Detection- Liang, Ming and Yang, Bin and Wang, Shenlong and Urtasun, Raquel
- [pdf]
[bibtex]@InProceedings{Liang_2018_ECCV,
author = {Liang, Ming and Yang, Bin and Wang, Shenlong and Urtasun, Raquel},
title = {Deep Continuous Fusion for Multi-Sensor 3D Object Detection},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
BusterNet: Detecting Copy-Move Image Forgery with Source/Target Localization- Wu, Yue and Abd-Almageed, Wael and Natarajan, Prem
- [pdf]
[bibtex]@InProceedings{Wu_2018_ECCV,
author = {Wu, Yue and Abd-Almageed, Wael and Natarajan, Prem},
title = {BusterNet: Detecting Copy-Move Image Forgery with Source/Target Localization},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Parallel Feature Pyramid Network for Object Detection- Kim, Seung-Wook and Kook, Hyong-Keun and Sun, Jee-Young and Kang, Mun-Cheon and Ko, Sung-Jea
- [pdf]
[bibtex]@InProceedings{Kim_2018_ECCV,
author = {Kim, Seung-Wook and Kook, Hyong-Keun and Sun, Jee-Young and Kang, Mun-Cheon and Ko, Sung-Jea},
title = {Parallel Feature Pyramid Network for Object Detection},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Learning Region Features for Object Detection- Gu, Jiayuan and Hu, Han and Wang, Liwei and Wei, Yichen and Dai, Jifeng
- [pdf]
[bibtex]@InProceedings{Gu_2018_ECCV,
author = {Gu, Jiayuan and Hu, Han and Wang, Liwei and Wei, Yichen and Dai, Jifeng},
title = {Learning Region Features for Object Detection},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
AMC: AutoML for Model Compression and Acceleration on Mobile Devices- He, Yihui and Lin, Ji and Liu, Zhijian and Wang, Hanrui and Li, Li-Jia and Han, Song
- [pdf]
[bibtex]@InProceedings{He_2018_ECCV,
author = {He, Yihui and Lin, Ji and Liu, Zhijian and Wang, Hanrui and Li, Li-Jia and Han, Song},
title = {AMC: AutoML for Model Compression and Acceleration on Mobile Devices},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
PSDF Fusion: Probabilistic Signed Distance Function for On-the-fly 3D Data Fusion and Scene Reconstruction- Dong, Wei and Wang, Qiuyuan and Wang, Xin and Zha, Hongbin
- [pdf]
[bibtex]@InProceedings{Dong_2018_ECCV,
author = {Dong, Wei and Wang, Qiuyuan and Wang, Xin and Zha, Hongbin},
title = {PSDF Fusion: Probabilistic Signed Distance Function for On-the-fly 3D Data Fusion and Scene Reconstruction},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Penalizing Top Performers: Conservative Loss for Semantic Segmentation Adaptation- Zhu, Xinge and Zhou, Hui and Yang, Ceyuan and Shi, Jianping and Lin, Dahua
- [pdf]
[bibtex]@InProceedings{Zhu_2018_ECCV,
author = {Zhu, Xinge and Zhou, Hui and Yang, Ceyuan and Shi, Jianping and Lin, Dahua},
title = {Penalizing Top Performers: Conservative Loss for Semantic Segmentation Adaptation},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Switchable Temporal Propagation Network- Liu, Sifei and Zhong, Guangyu and De Mello, Shalini and Gu, Jinwei and Jampani, Varun and Yang, Ming-Hsuan and Kautz, Jan
- [pdf]
[bibtex]@InProceedings{Liu_2018_ECCV,
author = {Liu, Sifei and Zhong, Guangyu and De Mello, Shalini and Gu, Jinwei and Jampani, Varun and Yang, Ming-Hsuan and Kautz, Jan},
title = {Switchable Temporal Propagation Network},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Sampling Algebraic Varieties for Robust Camera Autocalibration- Pani Paudel, Danda and Van Gool, Luc
- [pdf]
[bibtex]@InProceedings{Paudel_2018_ECCV,
author = {Pani Paudel, Danda and Van Gool, Luc},
title = {Sampling Algebraic Varieties for Robust Camera Autocalibration},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Image Reassembly Combining Deep Learning and Shortest Path Problem- Paumard, Marie-Morgane and Picard, David and Tabia, Hedi
- [pdf]
[bibtex]@InProceedings{Paumard_2018_ECCV,
author = {Paumard, Marie-Morgane and Picard, David and Tabia, Hedi},
title = {Image Reassembly Combining Deep Learning and Shortest Path Problem},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Diverse Conditional Image Generation by Stochastic Regression with Latent Drop-Out Codes- He, Yang and Schiele, Bernt and Fritz, Mario
- [pdf]
[bibtex]@InProceedings{He_2018_ECCV,
author = {He, Yang and Schiele, Bernt and Fritz, Mario},
title = {Diverse Conditional Image Generation by Stochastic Regression with Latent Drop-Out Codes},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Incremental Non-Rigid Structure-from-Motion with Unknown Focal Length- Probst, Thomas and Pani Paudel, Danda and Chhatkuli, Ajad and Van Gool, Luc
- [pdf]
[bibtex]@InProceedings{Probst_2018_ECCV,
author = {Probst, Thomas and Pani Paudel, Danda and Chhatkuli, Ajad and Van Gool, Luc},
title = {Incremental Non-Rigid Structure-from-Motion with Unknown Focal Length},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
PS-FCN: A Flexible Learning Framework for Photometric Stereo- Chen, Guanying and Han, Kai and Wong, Kwan-Yee K.
- [pdf]
[bibtex]@InProceedings{Chen_2018_ECCV,
author = {Chen, Guanying and Han, Kai and Wong, Kwan-Yee K.},
title = {PS-FCN: A Flexible Learning Framework for Photometric Stereo},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Instance-level Human Parsing via Part Grouping Network- Gong, Ke and Liang, Xiaodan and Li, Yicheng and Chen, Yimin and Yang, Ming and Lin, Liang
- [pdf]
[bibtex]@InProceedings{Gong_2018_ECCV,
author = {Gong, Ke and Liang, Xiaodan and Li, Yicheng and Chen, Yimin and Yang, Ming and Lin, Liang},
title = {Instance-level Human Parsing via Part Grouping Network},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Normalized Blind Deconvolution- Jin, Meiguang and Roth, Stefan and Favaro, Paolo
- [pdf]
[bibtex]@InProceedings{Jin_2018_ECCV,
author = {Jin, Meiguang and Roth, Stefan and Favaro, Paolo},
title = {Normalized Blind Deconvolution},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Constrained Optimization Based Low-Rank Approximation of Deep Neural Networks- Li, Chong and Richard Shi, C. J.
- [pdf]
[bibtex]@InProceedings{Li_2018_ECCV,
author = {Li, Chong and Richard Shi, C. J.},
title = {Constrained Optimization Based Low-Rank Approximation of Deep Neural Networks},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Dense Pose Transfer- Neverova, Natalia and Alp Guler, Riza and Kokkinos, Iasonas
- [pdf]
[bibtex]@InProceedings{Neverova_2018_ECCV,
author = {Neverova, Natalia and Alp Guler, Riza and Kokkinos, Iasonas},
title = {Dense Pose Transfer},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
RCAA: Relational Context-Aware Agents for Person Search- Chang, Xiaojun and Huang, Po-Yao and Shen, Yi-Dong and Liang, Xiaodan and Yang, Yi and Hauptmann, Alexander G.
- [pdf]
[bibtex]@InProceedings{Chang_2018_ECCV,
author = {Chang, Xiaojun and Huang, Po-Yao and Shen, Yi-Dong and Liang, Xiaodan and Yang, Yi and Hauptmann, Alexander G.},
title = {RCAA: Relational Context-Aware Agents for Person Search},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Deep Discriminative Model for Video Classification- Tavakolian, Mohammad and Hadid, Abdenour
- [pdf]
[bibtex]@InProceedings{Tavakolian_2018_ECCV,
author = {Tavakolian, Mohammad and Hadid, Abdenour},
title = {Deep Discriminative Model for Video Classification},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
DeepKSPD: Learning Kernel-matrix-based SPD Representation for Fine-grained Image Recognition- Engin, Melih and Wang, Lei and Zhou, Luping and Liu, Xinwang
- [pdf]
[bibtex]@InProceedings{Engin_2018_ECCV,
author = {Engin, Melih and Wang, Lei and Zhou, Luping and Liu, Xinwang},
title = {DeepKSPD: Learning Kernel-matrix-based SPD Representation for Fine-grained Image Recognition},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Deep Pictorial Gaze Estimation- Park, Seonwook and Spurr, Adrian and Hilliges, Otmar
- [pdf]
[bibtex]@InProceedings{Park_2018_ECCV,
author = {Park, Seonwook and Spurr, Adrian and Hilliges, Otmar},
title = {Deep Pictorial Gaze Estimation},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
CTAP: Complementary Temporal Action Proposal Generation- Gao, Jiyang and Chen, Kan and Nevatia, Ram
- [pdf]
[bibtex]@InProceedings{Gao_2018_ECCV,
author = {Gao, Jiyang and Chen, Kan and Nevatia, Ram},
title = {CTAP: Complementary Temporal Action Proposal Generation},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Neural Network Encapsulation- Li, Hongyang and Guo, Xiaoyang and DaiWanli Ouyang, Bo and Wang, Xiaogang
- [pdf]
[bibtex]@InProceedings{Li_2018_ECCV,
author = {Li, Hongyang and Guo, Xiaoyang and DaiWanli Ouyang, Bo and Wang, Xiaogang},
title = {Neural Network Encapsulation},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Recovering 3D Planes from a Single Image via Convolutional Neural Networks- Yang, Fengting and Zhou, Zihan
- [pdf]
[bibtex]@InProceedings{Yang_2018_ECCV,
author = {Yang, Fengting and Zhou, Zihan},
title = {Recovering 3D Planes from a Single Image via Convolutional Neural Networks},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Dist-GAN: An Improved GAN using Distance Constraints- Tran, Ngoc-Trung and Bui, Tuan-Anh and Cheung, Ngai-Man
- [pdf]
[bibtex]@InProceedings{Tran_2018_ECCV,
author = {Tran, Ngoc-Trung and Bui, Tuan-Anh and Cheung, Ngai-Man},
title = {Dist-GAN: An Improved GAN using Distance Constraints},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Retrospective Encoders for Video Summarization- Zhang, Ke and Grauman, Kristen and Sha, Fei
- [pdf]
[bibtex]@InProceedings{Zhang_2018_ECCV,
author = {Zhang, Ke and Grauman, Kristen and Sha, Fei},
title = {Retrospective Encoders for Video Summarization},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Tracking Emerges by Colorizing Videos- Vondrick, Carl and Shrivastava, Abhinav and Fathi, Alireza and Guadarrama, Sergio and Murphy, Kevin
- [pdf]
[bibtex]@InProceedings{Vondrick_2018_ECCV,
author = {Vondrick, Carl and Shrivastava, Abhinav and Fathi, Alireza and Guadarrama, Sergio and Murphy, Kevin},
title = {Tracking Emerges by Colorizing Videos},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Task-Aware Image Downscaling- Kim, Heewon and Choi, Myungsub and Lim, Bee and Mu Lee, Kyoung
- [pdf]
[bibtex]@InProceedings{Kim_2018_ECCV,
author = {Kim, Heewon and Choi, Myungsub and Lim, Bee and Mu Lee, Kyoung},
title = {Task-Aware Image Downscaling},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Product Quantization Network for Fast Image Retrieval- Yu, Tan and Yuan, Junsong and Fang, Chen and Jin, Hailin
- [pdf]
[bibtex]@InProceedings{Yu_2018_ECCV,
author = {Yu, Tan and Yuan, Junsong and Fang, Chen and Jin, Hailin},
title = {Product Quantization Network for Fast Image Retrieval},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Supervising the new with the old: learning SFM from SFM- Klodt, Maria and Vedaldi, Andrea
- [pdf]
[bibtex]@InProceedings{Klodt_2018_ECCV,
author = {Klodt, Maria and Vedaldi, Andrea},
title = {Supervising the new with the old: learning SFM from SFM},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Towards End-to-End License Plate Detection and Recognition: A Large Dataset and Baseline- Xu, Zhenbo and Yang, Wei and Meng, Ajin and Lu, Nanxue and Huang, Huan and Ying, Changchun and Huang, Liusheng
- [pdf]
[bibtex]@InProceedings{Xu_2018_ECCV,
author = {Xu, Zhenbo and Yang, Wei and Meng, Ajin and Lu, Nanxue and Huang, Huan and Ying, Changchun and Huang, Liusheng},
title = {Towards End-to-End License Plate Detection and Recognition: A Large Dataset and Baseline},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Ask, Acquire, and Attack: Data-free UAP Generation using Class Impressions- Reddy Mopuri, Konda and Krishna Uppala, Phani and Venkatesh Babu, R.
- [pdf]
[bibtex]@InProceedings{Mopuri_2018_ECCV,
author = {Reddy Mopuri, Konda and Krishna Uppala, Phani and Venkatesh Babu, R.},
title = {Ask, Acquire, and Attack: Data-free UAP Generation using Class Impressions},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Separating Reflection and Transmission Images in the Wild- Wieschollek, Patrick and Gallo, Orazio and Gu, Jinwei and Kautz, Jan
- [pdf]
[bibtex]@InProceedings{Wieschollek_2018_ECCV,
author = {Wieschollek, Patrick and Gallo, Orazio and Gu, Jinwei and Kautz, Jan},
title = {Separating Reflection and Transmission Images in the Wild},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Hard-Aware Point-to-Set Deep Metric for Person Re-identification- Yu, Rui and Dou, Zhiyong and Bai, Song and Zhang, Zhaoxiang and Xu, Yongchao and Bai, Xiang
- [pdf]
[bibtex]@InProceedings{Yu_2018_ECCV,
author = {Yu, Rui and Dou, Zhiyong and Bai, Song and Zhang, Zhaoxiang and Xu, Yongchao and Bai, Xiang},
title = {Hard-Aware Point-to-Set Deep Metric for Person Re-identification},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Cross-Modal and Hierarchical Modeling of Video and Text- Zhang, Bowen and Hu, Hexiang and Sha, Fei
- [pdf]
[bibtex]@InProceedings{Zhang_2018_ECCV,
author = {Zhang, Bowen and Hu, Hexiang and Sha, Fei},
title = {Cross-Modal and Hierarchical Modeling of Video and Text},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
StarMap for Category-Agnostic Keypoint and Viewpoint Estimation- Zhou, Xingyi and Karpur, Arjun and Luo, Linjie and Huang, Qixing
- [pdf]
[bibtex]@InProceedings{Zhou_2018_ECCV,
author = {Zhou, Xingyi and Karpur, Arjun and Luo, Linjie and Huang, Qixing},
title = {StarMap for Category-Agnostic Keypoint and Viewpoint Estimation},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Improving DNN Robustness to Adversarial Attacks using Jacobian Regularization- Jakubovitz, Daniel and Giryes, Raja
- [pdf]
[bibtex]@InProceedings{Jakubovitz_2018_ECCV,
author = {Jakubovitz, Daniel and Giryes, Raja},
title = {Improving DNN Robustness to Adversarial Attacks using Jacobian Regularization},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
RelocNet: Continuous Metric Learning Relocalisation using Neural Nets- Balntas, Vassileios and Li, Shuda and Prisacariu, Victor
- [pdf]
[bibtex]@InProceedings{Balntas_2018_ECCV,
author = {Balntas, Vassileios and Li, Shuda and Prisacariu, Victor},
title = {RelocNet: Continuous Metric Learning Relocalisation using Neural Nets},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Mancs: A Multi-task Attentional Network with Curriculum Sampling for Person Re-identification- Wang, Cheng and Zhang, Qian and Huang, Chang and Liu, Wenyu and Wang, Xinggang
- [pdf]
[bibtex]@InProceedings{Wang_2018_ECCV,
author = {Wang, Cheng and Zhang, Qian and Huang, Chang and Liu, Wenyu and Wang, Xinggang},
title = {Mancs: A Multi-task Attentional Network with Curriculum Sampling for Person Re-identification},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Recurrent Tubelet Proposal and Recognition Networks for Action Detection- Li, Dong and Qiu, Zhaofan and Dai, Qi and Yao, Ting and Mei, Tao
- [pdf]
[bibtex]@InProceedings{Li_2018_ECCV,
author = {Li, Dong and Qiu, Zhaofan and Dai, Qi and Yao, Ting and Mei, Tao},
title = {Recurrent Tubelet Proposal and Recognition Networks for Action Detection},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Estimating Depth from RGB and Sparse Sensing- Chen, Zhao and Badrinarayanan, Vijay and Drozdov, Gilad and Rabinovich, Andrew
- [pdf]
[bibtex]@InProceedings{Chen_2018_ECCV,
author = {Chen, Zhao and Badrinarayanan, Vijay and Drozdov, Gilad and Rabinovich, Andrew},
title = {Estimating Depth from RGB and Sparse Sensing},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Folded Recurrent Neural Networks for Future Video Prediction- Oliu, Marc and Selva, Javier and Escalera, Sergio
- [pdf]
[bibtex]@InProceedings{Oliu_2018_ECCV,
author = {Oliu, Marc and Selva, Javier and Escalera, Sergio},
title = {Folded Recurrent Neural Networks for Future Video Prediction},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Holistic 3D Scene Parsing and Reconstruction from a Single RGB Image- Huang, Siyuan and Qi, Siyuan and Zhu, Yixin and Xiao, Yinxue and Xu, Yuanlu and Zhu, Song-Chun
- [pdf]
[bibtex]@InProceedings{Huang_2018_ECCV,
author = {Huang, Siyuan and Qi, Siyuan and Zhu, Yixin and Xiao, Yinxue and Xu, Yuanlu and Zhu, Song-Chun},
title = {Holistic 3D Scene Parsing and Reconstruction from a Single RGB Image},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Joint Task-Recursive Learning for Semantic Segmentation and Depth Estimation- Zhang, Zhenyu and Cui, Zhen and Xu, Chunyan and Jie, Zequn and Li, Xiang and Yang, Jian
- [pdf]
[bibtex]@InProceedings{Zhang_2018_ECCV,
author = {Zhang, Zhenyu and Cui, Zhen and Xu, Chunyan and Jie, Zequn and Li, Xiang and Yang, Jian},
title = {Joint Task-Recursive Learning for Semantic Segmentation and Depth Estimation},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
A New Large Scale Dynamic Texture Dataset with Application to ConvNet Understanding- Hadji, Isma and Wildes, Richard P.
- [pdf]
[bibtex]@InProceedings{Hadji_2018_ECCV,
author = {Hadji, Isma and Wildes, Richard P.},
title = {A New Large Scale Dynamic Texture Dataset with Application to ConvNet Understanding},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Compositing-aware Image Search- Zhao, Hengshuang and Shen, Xiaohui and Lin, Zhe and Sunkavalli, Kalyan and Price, Brian and Jia, Jiaya
- [pdf]
[bibtex]@InProceedings{Zhao_2018_ECCV,
author = {Zhao, Hengshuang and Shen, Xiaohui and Lin, Zhe and Sunkavalli, Kalyan and Price, Brian and Jia, Jiaya},
title = {Compositing-aware Image Search},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Extreme Network Compression via Filter Group Approximation- Peng, Bo and Tan, Wenming and Li, Zheyang and Zhang, Shun and Xie, Di and Pu, Shiliang
- [pdf]
[bibtex]@InProceedings{Peng_2018_ECCV,
author = {Peng, Bo and Tan, Wenming and Li, Zheyang and Zhang, Shun and Xie, Di and Pu, Shiliang},
title = {Extreme Network Compression via Filter Group Approximation},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Audio-Visual Scene Analysis with Self-Supervised Multisensory Features- Owens, Andrew and Efros, Alexei A.
- [pdf]
[bibtex]@InProceedings{Owens_2018_ECCV,
author = {Owens, Andrew and Efros, Alexei A.},
title = {Audio-Visual Scene Analysis with Self-Supervised Multisensory Features},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Look Before You Leap: Bridging Model-Free and Model-Based Reinforcement Learning for Planned-Ahead Vision-and-Language Navigation- Wang, Xin and Xiong, Wenhan and Wang, Hongmin and Yang Wang, William
- [pdf]
[bibtex]@InProceedings{Wang_2018_ECCV,
author = {Wang, Xin and Xiong, Wenhan and Wang, Hongmin and Yang Wang, William},
title = {Look Before You Leap: Bridging Model-Free and Model-Based Reinforcement Learning for Planned-Ahead Vision-and-Language Navigation},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Structure-from-Motion-Aware PatchMatch for Adaptive Optical Flow Estimation- Maurer, Daniel and Marniok, Nico and Goldluecke, Bastian and Bruhn, Andres
- [pdf]
[bibtex]@InProceedings{Maurer_2018_ECCV,
author = {Maurer, Daniel and Marniok, Nico and Goldluecke, Bastian and Bruhn, Andres},
title = {Structure-from-Motion-Aware PatchMatch for Adaptive Optical Flow Estimation},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
ShuffleNet V2: Practical Guidelines for Efficient CNN Architecture Design- Ma, Ningning and Zhang, Xiangyu and Zheng, Hai-Tao and Sun, Jian
- [pdf]
[bibtex]@InProceedings{Ma_2018_ECCV,
author = {Ma, Ningning and Zhang, Xiangyu and Zheng, Hai-Tao and Sun, Jian},
title = {ShuffleNet V2: Practical Guidelines for Efficient CNN Architecture Design},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Attention-GAN for Object Transfiguration in Wild Images- Chen, Xinyuan and Xu, Chang and Yang, Xiaokang and Tao, Dacheng
- [pdf]
[bibtex]@InProceedings{Chen_2018_ECCV,
author = {Chen, Xinyuan and Xu, Chang and Yang, Xiaokang and Tao, Dacheng},
title = {Attention-GAN for Object Transfiguration in Wild Images},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Joint Representation and Truncated Inference Learning for Correlation Filter based Tracking- Yao, Yingjie and Wu, Xiaohe and Zhang, Lei and Shan, Shiguang and Zuo, Wangmeng
- [pdf]
[bibtex]@InProceedings{Yao_2018_ECCV,
author = {Yao, Yingjie and Wu, Xiaohe and Zhang, Lei and Shan, Shiguang and Zuo, Wangmeng},
title = {Joint Representation and Truncated Inference Learning for Correlation Filter based Tracking},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Lambda Twist: An Accurate Fast Robust Perspective Three Point (P3P) Solver- Persson, Mikael and Nordberg, Klas
- [pdf]
[bibtex]@InProceedings{Persson_2018_ECCV,
author = {Persson, Mikael and Nordberg, Klas},
title = {Lambda Twist: An Accurate Fast Robust Perspective Three Point (P3P) Solver},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
StereoNet: Guided Hierarchical Refinement for Real-Time Edge-Aware Depth Prediction- Khamis, Sameh and Fanello, Sean and Rhemann, Christoph and Kowdle, Adarsh and Valentin, Julien and Izadi, Shahram
- [pdf]
[bibtex]@InProceedings{Khamis_2018_ECCV,
author = {Khamis, Sameh and Fanello, Sean and Rhemann, Christoph and Kowdle, Adarsh and Valentin, Julien and Izadi, Shahram},
title = {StereoNet: Guided Hierarchical Refinement for Real-Time Edge-Aware Depth Prediction},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Robust Optical Flow in Rainy Scenes- Li, Ruoteng and Tan, Robby T. and Cheong, Loong-Fah
- [pdf]
[bibtex]@InProceedings{Li_2018_ECCV,
author = {Li, Ruoteng and Tan, Robby T. and Cheong, Loong-Fah},
title = {Robust Optical Flow in Rainy Scenes},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Scale Aggregation Network for Accurate and Efficient Crowd Counting- Cao, Xinkun and Wang, Zhipeng and Zhao, Yanyun and Su, Fei
- [pdf]
[bibtex]@InProceedings{Cao_2018_ECCV,
author = {Cao, Xinkun and Wang, Zhipeng and Zhao, Yanyun and Su, Fei},
title = {Scale Aggregation Network for Accurate and Efficient Crowd Counting},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Deep Feature Factorization For Concept Discovery- Collins, Edo and Achanta, Radhakrishna and Susstrunk, Sabine
- [pdf]
[bibtex]@InProceedings{Collins_2018_ECCV,
author = {Collins, Edo and Achanta, Radhakrishna and Susstrunk, Sabine},
title = {Deep Feature Factorization For Concept Discovery},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Object-centered image stitching- Herrmann, Charles and Wang, Chen and Strong Bowen, Richard and Keyder, Emil and Zabih, Ramin
- [pdf]
[bibtex]@InProceedings{Herrmann_2018_ECCV,
author = {Herrmann, Charles and Wang, Chen and Strong Bowen, Richard and Keyder, Emil and Zabih, Ramin},
title = {Object-centered image stitching},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
A Style-Aware Content Loss for Real-time HD Style Transfer- Sanakoyeu, Artsiom and Kotovenko, Dmytro and Lang, Sabine and Ommer, Bjorn
- [pdf]
[bibtex]@InProceedings{Sanakoyeu_2018_ECCV,
author = {Sanakoyeu, Artsiom and Kotovenko, Dmytro and Lang, Sabine and Ommer, Bjorn},
title = {A Style-Aware Content Loss for Real-time HD Style Transfer},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Recurrent Squeeze-and-Excitation Context Aggregation Net for Single Image Deraining- Li, Xia and Wu, Jianlong and Lin, Zhouchen and Liu, Hong and Zha, Hongbin
- [pdf]
[bibtex]@InProceedings{Li_2018_ECCV,
author = {Li, Xia and Wu, Jianlong and Lin, Zhouchen and Liu, Hong and Zha, Hongbin},
title = {Recurrent Squeeze-and-Excitation Context Aggregation Net for Single Image Deraining},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Acquisition of Localization Confidence for Accurate Object Detection- Jiang, Borui and Luo, Ruixuan and Mao, Jiayuan and Xiao, Tete and Jiang, Yuning
- [pdf]
[bibtex]@InProceedings{Jiang_2018_ECCV,
author = {Jiang, Borui and Luo, Ruixuan and Mao, Jiayuan and Xiao, Tete and Jiang, Yuning},
title = {Acquisition of Localization Confidence for Accurate Object Detection},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Joint 3D Face Reconstruction and Dense Alignment with Position Map Regression Network- Feng, Yao and Wu, Fan and Shao, Xiaohu and Wang, Yanfeng and Zhou, Xi
- [pdf]
[bibtex]@InProceedings{Feng_2018_ECCV,
author = {Feng, Yao and Wu, Fan and Shao, Xiaohu and Wang, Yanfeng and Zhou, Xi},
title = {Joint 3D Face Reconstruction and Dense Alignment with Position Map Regression Network},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Salient Objects in Clutter: Bringing Salient Object Detection to the Foreground- Fan, Deng-Ping and Cheng, Ming-Ming and Liu, Jiang-Jiang and Gao, Shang-Hua and Hou, Qibin and Borji, Ali
- [pdf]
[bibtex]@InProceedings{Fan_2018_ECCV,
author = {Fan, Deng-Ping and Cheng, Ming-Ming and Liu, Jiang-Jiang and Gao, Shang-Hua and Hou, Qibin and Borji, Ali},
title = {Salient Objects in Clutter: Bringing Salient Object Detection to the Foreground},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Multimodal Unsupervised Image-to-image Translation- Huang, Xun and Liu, Ming-Yu and Belongie, Serge and Kautz, Jan
- [pdf]
[bibtex]@InProceedings{Huang_2018_ECCV,
author = {Huang, Xun and Liu, Ming-Yu and Belongie, Serge and Kautz, Jan},
title = {Multimodal Unsupervised Image-to-image Translation},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Diverse feature visualizations reveal invariances in early layers of deep neural networks- Cadena, Santiago A. and Weis, Marissa A. and Gatys, Leon A. and Bethge, Matthias and Ecker, Alexander S.
- [pdf]
[bibtex]@InProceedings{Cadena_2018_ECCV,
author = {Cadena, Santiago A. and Weis, Marissa A. and Gatys, Leon A. and Bethge, Matthias and Ecker, Alexander S.},
title = {Diverse feature visualizations reveal invariances in early layers of deep neural networks},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
``Factual'' or ``Emotional'': Stylized Image Captioning with Adaptive Learning and Attention- Chen, Tianlang and Zhang, Zhongping and You, Quanzeng and Fang, Chen and Wang, Zhaowen and Jin, Hailin and Luo, Jiebo
- [pdf]
[bibtex]@InProceedings{Chen_2018_ECCV,
author = {Chen, Tianlang and Zhang, Zhongping and You, Quanzeng and Fang, Chen and Wang, Zhaowen and Jin, Hailin and Luo, Jiebo},
title = {``Factual'' or ``Emotional'': Stylized Image Captioning with Adaptive Learning and Attention},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Deblurring Natural Image Using Super-Gaussian Fields- Liu, Yuhang and Dong, Wenyong and Gong, Dong and Zhang, Lei and Shi, Qinfeng
- [pdf]
[bibtex]@InProceedings{Liu_2018_ECCV,
author = {Liu, Yuhang and Dong, Wenyong and Gong, Dong and Zhang, Lei and Shi, Qinfeng},
title = {Deblurring Natural Image Using Super-Gaussian Fields},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Dense Semantic and Topological Correspondence of 3D Faces without Landmarks- Fan, Zhenfeng and Hu, Xiyuan and Chen, Chen and Peng, Silong
- [pdf]
[bibtex]@InProceedings{Fan_2018_ECCV,
author = {Fan, Zhenfeng and Hu, Xiyuan and Chen, Chen and Peng, Silong},
title = {Dense Semantic and Topological Correspondence of 3D Faces without Landmarks},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
OmniDepth: Dense Depth Estimation for Indoors Spherical Panoramas- Zioulis, Nikolaos and Karakottas, Antonis and Zarpalas, Dimitrios and Daras, Petros
- [pdf]
[bibtex]@InProceedings{Zioulis_2018_ECCV,
author = {Zioulis, Nikolaos and Karakottas, Antonis and Zarpalas, Dimitrios and Daras, Petros},
title = {OmniDepth: Dense Depth Estimation for Indoors Spherical Panoramas},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
On Regularized Losses for Weakly-supervised CNN Segmentation- Tang, Meng and Perazzi, Federico and Djelouah, Abdelaziz and Ben Ayed, Ismail and Schroers, Christopher and Boykov, Yuri
- [pdf]
[bibtex]@InProceedings{Tang_2018_ECCV,
author = {Tang, Meng and Perazzi, Federico and Djelouah, Abdelaziz and Ben Ayed, Ismail and Schroers, Christopher and Boykov, Yuri},
title = {On Regularized Losses for Weakly-supervised CNN Segmentation},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Learning Dynamic Memory Networks for Object Tracking- Yang, Tianyu and Chan, Antoni B.
- [pdf]
[bibtex]@InProceedings{Yang_2018_ECCV,
author = {Yang, Tianyu and Chan, Antoni B.},
title = {Learning Dynamic Memory Networks for Object Tracking},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Zero-Shot Deep Domain Adaptation- Peng, Kuan-Chuan and Wu, Ziyan and Ernst, Jan
- [pdf]
[bibtex]@InProceedings{Peng_2018_ECCV,
author = {Peng, Kuan-Chuan and Wu, Ziyan and Ernst, Jan},
title = {Zero-Shot Deep Domain Adaptation},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
SphereNet: Learning Spherical Representations for Detection and Classification in Omnidirectional Images- Coors, Benjamin and Paul Condurache, Alexandru and Geiger, Andreas
- [pdf]
[bibtex]@InProceedings{Coors_2018_ECCV,
author = {Coors, Benjamin and Paul Condurache, Alexandru and Geiger, Andreas},
title = {SphereNet: Learning Spherical Representations for Detection and Classification in Omnidirectional Images},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Graininess-Aware Deep Feature Learning for Pedestrian Detection- Lin, Chunze and Lu, Jiwen and Wang, Gang and Zhou, Jie
- [pdf]
[bibtex]@InProceedings{Lin_2018_ECCV,
author = {Lin, Chunze and Lu, Jiwen and Wang, Gang and Zhou, Jie},
title = {Graininess-Aware Deep Feature Learning for Pedestrian Detection},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Learning to Forecast and Refine Residual Motion for Image-to-Video Generation- Zhao, Long and Peng, Xi and Tian, Yu and Kapadia, Mubbasir and Metaxas, Dimitris
- [pdf]
[bibtex]@InProceedings{Zhao_2018_ECCV,
author = {Zhao, Long and Peng, Xi and Tian, Yu and Kapadia, Mubbasir and Metaxas, Dimitris},
title = {Learning to Forecast and Refine Residual Motion for Image-to-Video Generation},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
ML-LocNet: Improving Object Localization with Multi-view Learning Network- Zhang, Xiaopeng and Yang, Yang and Feng, Jiashi
- [pdf]
[bibtex]@InProceedings{Zhang_2018_ECCV,
author = {Zhang, Xiaopeng and Yang, Yang and Feng, Jiashi},
title = {ML-LocNet: Improving Object Localization with Multi-view Learning Network},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Statistically-motivated Second-order Pooling- Yu, Kaicheng and Salzmann, Mathieu
- [pdf]
[bibtex]@InProceedings{Yu_2018_ECCV,
author = {Yu, Kaicheng and Salzmann, Mathieu},
title = {Statistically-motivated Second-order Pooling},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Improving Generalization via Scalable Neighborhood Component Analysis- Wu, Zhirong and Efros, Alexei A. and Yu, Stella X.
- [pdf]
[bibtex]@InProceedings{Wu_2018_ECCV,
author = {Wu, Zhirong and Efros, Alexei A. and Yu, Stella X.},
title = {Improving Generalization via Scalable Neighborhood Component Analysis},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Monocular Depth Estimation with Affinity, Vertical Pooling, and Label Enhancement- Gan, Yukang and Xu, Xiangyu and Sun, Wenxiu and Lin, Liang
- [pdf]
[bibtex]@InProceedings{Gan_2018_ECCV,
author = {Gan, Yukang and Xu, Xiangyu and Sun, Wenxiu and Lin, Liang},
title = {Monocular Depth Estimation with Affinity, Vertical Pooling, and Label Enhancement},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Learning to Anonymize Faces for Privacy Preserving Action Detection- Ren, Zhongzheng and Jae Lee, Yong and Ryoo, Michael S.
- [pdf]
[bibtex]@InProceedings{Ren_2018_ECCV,
author = {Ren, Zhongzheng and Jae Lee, Yong and Ryoo, Michael S.},
title = {Learning to Anonymize Faces for Privacy Preserving Action Detection},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Distractor-aware Siamese Networks for Visual Object Tracking- Zhu, Zheng and Wang, Qiang and Li, Bo and Wu, Wei and Yan, Junjie and Hu, Weiming
- [pdf]
[bibtex]@InProceedings{Zhu_2018_ECCV,
author = {Zhu, Zheng and Wang, Qiang and Li, Bo and Wu, Wei and Yan, Junjie and Hu, Weiming},
title = {Distractor-aware Siamese Networks for Visual Object Tracking},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Question Type Guided Attention in Visual Question Answering- Shi, Yang and Furlanello, Tommaso and Zha, Sheng and Anandkumar, Animashree
- [pdf]
[bibtex]@InProceedings{Shi_2018_ECCV,
author = {Shi, Yang and Furlanello, Tommaso and Zha, Sheng and Anandkumar, Animashree},
title = {Question Type Guided Attention in Visual Question Answering},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Escaping from Collapsing Modes in a Constrained Space- Chang, Chia-Che and Hubert Lin, Chieh and Lee, Che-Rung and Juan, Da-Cheng and Wei, Wei and Chen, Hwann-Tzong
- [pdf]
[bibtex]@InProceedings{Chang_2018_ECCV,
author = {Chang, Chia-Che and Hubert Lin, Chieh and Lee, Che-Rung and Juan, Da-Cheng and Wei, Wei and Chen, Hwann-Tzong},
title = {Escaping from Collapsing Modes in a Constrained Space},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Light Structure from Pin Motion: Simple and Accurate Point Light Calibration for Physics-based Modeling- Santo, Hiroaki and Waechter, Michael and Samejima, Masaki and Sugano, Yusuke and Matsushita, Yasuyuki
- [pdf]
[bibtex]@InProceedings{Santo_2018_ECCV,
author = {Santo, Hiroaki and Waechter, Michael and Samejima, Masaki and Sugano, Yusuke and Matsushita, Yasuyuki},
title = {Light Structure from Pin Motion: Simple and Accurate Point Light Calibration for Physics-based Modeling},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Bayesian Semantic Instance Segmentation in Open Set World- Pham, Trung and Kumar, Vijay B. G. and Do, Thanh-Toan and Carneiro, Gustavo and Reid, Ian
- [pdf]
[bibtex]@InProceedings{Pham_2018_ECCV,
author = {Pham, Trung and Kumar, Vijay B. G. and Do, Thanh-Toan and Carneiro, Gustavo and Reid, Ian},
title = {Bayesian Semantic Instance Segmentation in Open Set World},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
HybridNet: Classification and Reconstruction Cooperation for Semi-Supervised Learning- Robert, Thomas and Thome, Nicolas and Cord, Matthieu
- [pdf]
[bibtex]@InProceedings{Robert_2018_ECCV,
author = {Robert, Thomas and Thome, Nicolas and Cord, Matthieu},
title = {HybridNet: Classification and Reconstruction Cooperation for Semi-Supervised Learning},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Uncertainty Estimates and Multi-Hypotheses Networks for Optical Flow- Ilg, Eddy and Cicek, Ozgun and Galesso, Silvio and Klein, Aaron and Makansi, Osama and Hutter, Frank and Brox, Thomas
- [pdf]
[bibtex]@InProceedings{Ilg_2018_ECCV,
author = {Ilg, Eddy and Cicek, Ozgun and Galesso, Silvio and Klein, Aaron and Makansi, Osama and Hutter, Frank and Brox, Thomas},
title = {Uncertainty Estimates and Multi-Hypotheses Networks for Optical Flow},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Discriminative Region Proposal Adversarial Networks for High-Quality Image-to-Image Translation- Wang, Chao and Zheng, Haiyong and Yu, Zhibin and Zheng, Ziqiang and Gu, Zhaorui and Zheng, Bing
- [pdf]
[bibtex]@InProceedings{Wang_2018_ECCV,
author = {Wang, Chao and Zheng, Haiyong and Yu, Zhibin and Zheng, Ziqiang and Gu, Zhaorui and Zheng, Bing},
title = {Discriminative Region Proposal Adversarial Networks for High-Quality Image-to-Image Translation},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Transductive Semi-Supervised Deep Learning using Min-Max Features- Shi, Weiwei and Gong, Yihong and Ding, Chris and MaXiaoyu Tao, Zhiheng and Zheng, Nanning
- [pdf]
[bibtex]@InProceedings{Shi_2018_ECCV,
author = {Shi, Weiwei and Gong, Yihong and Ding, Chris and MaXiaoyu Tao, Zhiheng and Zheng, Nanning},
title = {Transductive Semi-Supervised Deep Learning using Min-Max Features},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Interpolating Convolutional Neural Networks Using Batch Normalization- Wesley Putra Data, Gratianus and Ngu, Kirjon and William Murray, David and Adrian Prisacariu, Victor
- [pdf]
[bibtex]@InProceedings{Data_2018_ECCV,
author = {Wesley Putra Data, Gratianus and Ngu, Kirjon and William Murray, David and Adrian Prisacariu, Victor},
title = {Interpolating Convolutional Neural Networks Using Batch Normalization},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Learning Blind Video Temporal Consistency- Lai, Wei-Sheng and Huang, Jia-Bin and Wang, Oliver and Shechtman, Eli and Yumer, Ersin and Yang, Ming-Hsuan
- [pdf]
[bibtex]@InProceedings{Lai_2018_ECCV,
author = {Lai, Wei-Sheng and Huang, Jia-Bin and Wang, Oliver and Shechtman, Eli and Yumer, Ersin and Yang, Ming-Hsuan},
title = {Learning Blind Video Temporal Consistency},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Learning Class Prototypes via Structure Alignment for Zero-Shot Recognition- Jiang, Huajie and Wang, Ruiping and Shan, Shiguang and Chen, Xilin
- [pdf]
[bibtex]@InProceedings{Jiang_2018_ECCV,
author = {Jiang, Huajie and Wang, Ruiping and Shan, Shiguang and Chen, Xilin},
title = {Learning Class Prototypes via Structure Alignment for Zero-Shot Recognition},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Fine-grained Video Categorization with Redundancy Reduction Attention- Zhu, Chen and Tan, Xiao and Zhou, Feng and Liu, Xiao and Yue, Kaiyu and Ding, Errui and Ma, Yi
- [pdf]
[bibtex]@InProceedings{Zhu_2018_ECCV,
author = {Zhu, Chen and Tan, Xiao and Zhou, Feng and Liu, Xiao and Yue, Kaiyu and Ding, Errui and Ma, Yi},
title = {Fine-grained Video Categorization with Redundancy Reduction Attention},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Object Detection in Video with Spatiotemporal Sampling Networks- Bertasius, Gedas and Torresani, Lorenzo and Shi, Jianbo
- [pdf]
[bibtex]@InProceedings{Bertasius_2018_ECCV,
author = {Bertasius, Gedas and Torresani, Lorenzo and Shi, Jianbo},
title = {Object Detection in Video with Spatiotemporal Sampling Networks},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Graph Distillation for Action Detection with Privileged Modalities- Luo, Zelun and Hsieh, Jun-Ting and Jiang, Lu and Niebles, Juan Carlos and Fei-Fei, Li
- [pdf]
[bibtex]@InProceedings{Luo_2018_ECCV,
author = {Luo, Zelun and Hsieh, Jun-Ting and Jiang, Lu and Niebles, Juan Carlos and Fei-Fei, Li},
title = {Graph Distillation for Action Detection with Privileged Modalities},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Efficient Uncertainty Estimation for Semantic Segmentation in Videos- Huang, Po-Yu and Hsu, Wan-Ting and Chiu, Chun-Yueh and Wu, Ting-Fan and Sun, Min
- [pdf]
[bibtex]@InProceedings{Huang_2018_ECCV,
author = {Huang, Po-Yu and Hsu, Wan-Ting and Chiu, Chun-Yueh and Wu, Ting-Fan and Sun, Min},
title = {Efficient Uncertainty Estimation for Semantic Segmentation in Videos},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Saliency Preservation in Low-Resolution Grayscale Images- Yohanandan, Shivanthan and Song, Andy and Dyer, Adrian G. and Tao, Dacheng
- [pdf]
[bibtex]@InProceedings{Yohanandan_2018_ECCV,
author = {Yohanandan, Shivanthan and Song, Andy and Dyer, Adrian G. and Tao, Dacheng},
title = {Saliency Preservation in Low-Resolution Grayscale Images},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Polarimetric Three-View Geometry- Chen, Lixiong and Zheng, Yinqiang and Subpa-asa, Art and Sato, Imari
- [pdf]
[bibtex]@InProceedings{Chen_2018_ECCV,
author = {Chen, Lixiong and Zheng, Yinqiang and Subpa-asa, Art and Sato, Imari},
title = {Polarimetric Three-View Geometry},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Deep Imbalanced Attribute Classification using Visual Attention Aggregation- Sarafianos, Nikolaos and Xu, Xiang and Kakadiaris, Ioannis A.
- [pdf]
[bibtex]@InProceedings{Sarafianos_2018_ECCV,
author = {Sarafianos, Nikolaos and Xu, Xiang and Kakadiaris, Ioannis A.},
title = {Deep Imbalanced Attribute Classification using Visual Attention Aggregation},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Adding Attentiveness to the Neurons in Recurrent Neural Networks- Zhang, Pengfei and Xue, Jianru and Lan, Cuiling and Zeng, Wenjun and Gao, Zhanning and Zheng, Nanning
- [pdf]
[bibtex]@InProceedings{Zhang_2018_ECCV,
author = {Zhang, Pengfei and Xue, Jianru and Lan, Cuiling and Zeng, Wenjun and Gao, Zhanning and Zheng, Nanning},
title = {Adding Attentiveness to the Neurons in Recurrent Neural Networks},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Seeing Deeply and Bidirectionally: A Deep Learning Approach for Single Image Reflection Removal- Yang, Jie and Gong, Dong and Liu, Lingqiao and Shi, Qinfeng
- [pdf]
[bibtex]@InProceedings{Yang_2018_ECCV,
author = {Yang, Jie and Gong, Dong and Liu, Lingqiao and Shi, Qinfeng},
title = {Seeing Deeply and Bidirectionally: A Deep Learning Approach for Single Image Reflection Removal},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Fast and Accurate Camera Covariance Computation for Large 3D Reconstruction- Polic, Michal and Forstner, Wolfgang and Pajdla, Tomas
- [pdf]
[bibtex]@InProceedings{Polic_2018_ECCV,
author = {Polic, Michal and Forstner, Wolfgang and Pajdla, Tomas},
title = {Fast and Accurate Camera Covariance Computation for Large 3D Reconstruction},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Dynamic Multimodal Instance Segmentation Guided by Natural Language Queries- Margffoy-Tuay, Edgar and Perez, Juan C. and Botero, Emilio and Arbelaez, Pablo
- [pdf]
[bibtex]@InProceedings{Margffoy-Tuay_2018_ECCV,
author = {Margffoy-Tuay, Edgar and Perez, Juan C. and Botero, Emilio and Arbelaez, Pablo},
title = {Dynamic Multimodal Instance Segmentation Guided by Natural Language Queries},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Learning SO(3) Equivariant Representations with Spherical CNNs- Esteves, Carlos and Allen-Blanchette, Christine and Makadia, Ameesh and Daniilidis, Kostas
- [pdf]
[bibtex]@InProceedings{Esteves_2018_ECCV,
author = {Esteves, Carlos and Allen-Blanchette, Christine and Makadia, Ameesh and Daniilidis, Kostas},
title = {Learning SO(3) Equivariant Representations with Spherical CNNs},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Out-of-Distribution Detection Using an Ensemble of Self Supervised Leave-out Classifiers- Vyas, Apoorv and Jammalamadaka, Nataraj and Zhu, Xia and Das, Dipankar and Kaul, Bharat and Willke, Theodore L.
- [pdf]
[bibtex]@InProceedings{Vyas_2018_ECCV,
author = {Vyas, Apoorv and Jammalamadaka, Nataraj and Zhu, Xia and Das, Dipankar and Kaul, Bharat and Willke, Theodore L.},
title = {Out-of-Distribution Detection Using an Ensemble of Self Supervised Leave-out Classifiers},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Interaction-aware Spatio-temporal Pyramid Attention Networks for Action Classification- Du, Yang and Yuan, Chunfeng and Li, Bing and Zhao, Lili and Li, Yangxi and Hu, Weiming
- [pdf]
[bibtex]@InProceedings{Du_2018_ECCV,
author = {Du, Yang and Yuan, Chunfeng and Li, Bing and Zhao, Lili and Li, Yangxi and Hu, Weiming},
title = {Interaction-aware Spatio-temporal Pyramid Attention Networks for Action Classification},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
T2Net: Synthetic-to-Realistic Translation for Solving Single-Image Depth Estimation Tasks- Zheng, Chuanxia and Cham, Tat-Jen and Cai, Jianfei
- [pdf]
[bibtex]@InProceedings{Zheng_2018_ECCV,
author = {Zheng, Chuanxia and Cham, Tat-Jen and Cai, Jianfei},
title = {T2Net: Synthetic-to-Realistic Translation for Solving Single-Image Depth Estimation Tasks},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Video Object Detection with an Aligned Spatial-Temporal Memory- Xiao, Fanyi and Jae Lee, Yong
- [pdf]
[bibtex]@InProceedings{Xiao_2018_ECCV,
author = {Xiao, Fanyi and Jae Lee, Yong},
title = {Video Object Detection with an Aligned Spatial-Temporal Memory},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
CGIntrinsics: Better Intrinsic Image Decomposition through Physically-Based Rendering- Li, Zhengqi and Snavely, Noah
- [pdf]
[bibtex]@InProceedings{Li_2018_ECCV,
author = {Li, Zhengqi and Snavely, Noah},
title = {CGIntrinsics: Better Intrinsic Image Decomposition through Physically-Based Rendering},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Partial Adversarial Domain Adaptation- Cao, Zhangjie and Ma, Lijia and Long, Mingsheng and Wang, Jianmin
- [pdf]
[bibtex]@InProceedings{Cao_2018_ECCV,
author = {Cao, Zhangjie and Ma, Lijia and Long, Mingsheng and Wang, Jianmin},
title = {Partial Adversarial Domain Adaptation},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Diverse and Coherent Paragraph Generation from Images- Chatterjee, Moitreya and Schwing, Alexander G.
- [pdf]
[bibtex]@InProceedings{Chatterjee_2018_ECCV,
author = {Chatterjee, Moitreya and Schwing, Alexander G.},
title = {Diverse and Coherent Paragraph Generation from Images},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Diverse Image-to-Image Translation via Disentangled Representations- Lee, Hsin-Ying and Tseng, Hung-Yu and Huang, Jia-Bin and Singh, Maneesh and Yang, Ming-Hsuan
- [pdf]
[bibtex]@InProceedings{Lee_2018_ECCV,
author = {Lee, Hsin-Ying and Tseng, Hung-Yu and Huang, Jia-Bin and Singh, Maneesh and Yang, Ming-Hsuan},
title = {Diverse Image-to-Image Translation via Disentangled Representations},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
BOP: Benchmark for 6D Object Pose Estimation- Hodan, Tomas and Michel, Frank and Brachmann, Eric and Kehl, Wadim and GlentBuch, Anders and Kraft, Dirk and Drost, Bertram and Vidal, Joel and Ihrke, Stephan and Zabulis, Xenophon and Sahin, Caner and Manhardt, Fabian and Tombari, Federico and Kim, Tae-Kyun and Matas, Jiri and Rother, Carsten
- [pdf]
[bibtex]@InProceedings{Hodan_2018_ECCV,
author = {Hodan, Tomas and Michel, Frank and Brachmann, Eric and Kehl, Wadim and GlentBuch, Anders and Kraft, Dirk and Drost, Bertram and Vidal, Joel and Ihrke, Stephan and Zabulis, Xenophon and Sahin, Caner and Manhardt, Fabian and Tombari, Federico and Kim, Tae-Kyun and Matas, Jiri and Rother, Carsten},
title = {BOP: Benchmark for 6D Object Pose Estimation},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Generative Domain-Migration Hashing for Sketch-to-Image Retrieval- Zhang, Jingyi and Shen, Fumin and Liu, Li and Zhu, Fan and Yu, Mengyang and Shao, Ling and Tao Shen, Heng and Van Gool, Luc
- [pdf]
[bibtex]@InProceedings{Zhang_2018_ECCV,
author = {Zhang, Jingyi and Shen, Fumin and Liu, Li and Zhu, Fan and Yu, Mengyang and Shao, Ling and Tao Shen, Heng and Van Gool, Luc},
title = {Generative Domain-Migration Hashing for Sketch-to-Image Retrieval},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Multimodal image alignment through a multiscale chain of neural networks with application to remote sensing- Zampieri, Armand and Charpiat, Guillaume and Girard, Nicolas and Tarabalka, Yuliya
- [pdf]
[bibtex]@InProceedings{Zampieri_2018_ECCV,
author = {Zampieri, Armand and Charpiat, Guillaume and Girard, Nicolas and Tarabalka, Yuliya},
title = {Multimodal image alignment through a multiscale chain of neural networks with application to remote sensing},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
FloorNet: A Unified Framework for Floorplan Reconstruction from 3D Scans- Liu, Chen and Wu, Jiaye and Furukawa, Yasutaka
- [pdf]
[bibtex]@InProceedings{Liu_2018_ECCV,
author = {Liu, Chen and Wu, Jiaye and Furukawa, Yasutaka},
title = {FloorNet: A Unified Framework for Floorplan Reconstruction from 3D Scans},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Unsupervised Hard Example Mining from Videos for Improved Object Detection- Jin, SouYoung and RoyChowdhury, Aruni and Jiang, Huaizu and Singh, Ashish and Prasad, Aditya and Chakraborty, Deep and Learned-Miller, Erik
- [pdf]
[bibtex]@InProceedings{Jin_2018_ECCV,
author = {Jin, SouYoung and RoyChowdhury, Aruni and Jiang, Huaizu and Singh, Ashish and Prasad, Aditya and Chakraborty, Deep and Learned-Miller, Erik},
title = {Unsupervised Hard Example Mining from Videos for Improved Object Detection},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
A Deeply-initialized Coarse-to-fine Ensemble of Regression Trees for Face Alignment- Valle, Roberto and Buenaposada, Jose M. and Valdes, Antonio and Baumela, Luis
- [pdf]
[bibtex]@InProceedings{Valle_2018_ECCV,
author = {Valle, Roberto and Buenaposada, Jose M. and Valdes, Antonio and Baumela, Luis},
title = {A Deeply-initialized Coarse-to-fine Ensemble of Regression Trees for Face Alignment},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Transferring GANs: generating images from limited data- Wang, Yaxing and Wu, Chenshen and Herranz, Luis and van de Weijer, Joost and Gonzalez-Garcia, Abel and Raducanu, Bogdan
- [pdf]
[bibtex]@InProceedings{Wang_2018_ECCV,
author = {Wang, Yaxing and Wu, Chenshen and Herranz, Luis and van de Weijer, Joost and Gonzalez-Garcia, Abel and Raducanu, Bogdan},
title = {Transferring GANs: generating images from limited data},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Cross-Modal Ranking with Soft Consistency and Noisy Labels for Robust RGB-T Tracking- Li, Chenglong and Zhu, Chengli and Huang, Yan and Tang, Jin and Wang, Liang
- [pdf]
[bibtex]@InProceedings{Li_2018_ECCV,
author = {Li, Chenglong and Zhu, Chengli and Huang, Yan and Tang, Jin and Wang, Liang},
title = {Cross-Modal Ranking with Soft Consistency and Noisy Labels for Robust RGB-T Tracking},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Broadcasting Convolutional Network for Visual Relational Reasoning- Chang, Simyung and Yang, John and Park, SeongUk and Kwak, Nojun
- [pdf]
[bibtex]@InProceedings{Chang_2018_ECCV,
author = {Chang, Simyung and Yang, John and Park, SeongUk and Kwak, Nojun},
title = {Broadcasting Convolutional Network for Visual Relational Reasoning},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
DF-Net: Unsupervised Joint Learning of Depth and Flow using Cross-Task Consistency- Zou, Yuliang and Luo, Zelun and Huang, Jia-Bin
- [pdf]
[bibtex]@InProceedings{Zou_2018_ECCV,
author = {Zou, Yuliang and Luo, Zelun and Huang, Jia-Bin},
title = {DF-Net: Unsupervised Joint Learning of Depth and Flow using Cross-Task Consistency},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
K-convexity shape priors for segmentation- Isack, Hossam and Gorelick, Lena and Ng, Karin and Veksler, Olga and Boykov, Yuri
- [pdf]
[bibtex]@InProceedings{Isack_2018_ECCV,
author = {Isack, Hossam and Gorelick, Lena and Ng, Karin and Veksler, Olga and Boykov, Yuri},
title = {K-convexity shape priors for segmentation},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Fine-Grained Visual Categorization using Meta-Learning Optimization with Sample Selection of Auxiliary Data- Zhang, Yabin and Tang, Hui and Jia, Kui
- [pdf]
[bibtex]@InProceedings{Zhang_2018_ECCV,
author = {Zhang, Yabin and Tang, Hui and Jia, Kui},
title = {Fine-Grained Visual Categorization using Meta-Learning Optimization with Sample Selection of Auxiliary Data},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Hierarchical Bilinear Pooling for Fine-Grained Visual Recognition- Yu, Chaojian and Zhao, Xinyi and Zheng, Qi and Zhang, Peng and You, Xinge
- [pdf]
[bibtex]@InProceedings{Yu_2018_ECCV,
author = {Yu, Chaojian and Zhao, Xinyi and Zheng, Qi and Zhang, Peng and You, Xinge},
title = {Hierarchical Bilinear Pooling for Fine-Grained Visual Recognition},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Unpaired Image Captioning by Language Pivoting- Gu, Jiuxiang and Joty, Shafiq and Cai, Jianfei and Wang, Gang
- [pdf]
[bibtex]@InProceedings{Gu_2018_ECCV,
author = {Gu, Jiuxiang and Joty, Shafiq and Cai, Jianfei and Wang, Gang},
title = {Unpaired Image Captioning by Language Pivoting},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Face De-Spoofing: Anti-Spoofing via Noise Modeling- Jourabloo, Amin and Liu, Yaojie and Liu, Xiaoming
- [pdf]
[bibtex]@InProceedings{Jourabloo_2018_ECCV,
author = {Jourabloo, Amin and Liu, Yaojie and Liu, Xiaoming},
title = {Face De-Spoofing: Anti-Spoofing via Noise Modeling},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Unsupervised Geometry-Aware Representation for 3D Human Pose Estimation- Rhodin, Helge and Salzmann, Mathieu and Fua, Pascal
- [pdf]
[bibtex]@InProceedings{Rhodin_2018_ECCV,
author = {Rhodin, Helge and Salzmann, Mathieu and Fua, Pascal},
title = {Unsupervised Geometry-Aware Representation for 3D Human Pose Estimation},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Comparator Networks- Xie, Weidi and Shen, Li and Zisserman, Andrew
- [pdf]
[bibtex]@InProceedings{Xie_2018_ECCV,
author = {Xie, Weidi and Shen, Li and Zisserman, Andrew},
title = {Comparator Networks},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Quaternion Convolutional Neural Networks- Zhu, Xuanyu and Xu, Yi and Xu, Hongteng and Chen, Changjian
- [pdf]
[bibtex]@InProceedings{Zhu_2018_ECCV,
author = {Zhu, Xuanyu and Xu, Yi and Xu, Hongteng and Chen, Changjian},
title = {Quaternion Convolutional Neural Networks},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Learning Priors for Semantic 3D Reconstruction- Cherabier, Ian and Schonberger, Johannes L. and Oswald, Martin R. and Pollefeys, Marc and Geiger, Andreas
- [pdf]
[bibtex]@InProceedings{Cherabier_2018_ECCV,
author = {Cherabier, Ian and Schonberger, Johannes L. and Oswald, Martin R. and Pollefeys, Marc and Geiger, Andreas},
title = {Learning Priors for Semantic 3D Reconstruction},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Joint Map and Symmetry Synchronization- Sun, Yifan and Liang, Zhenxiao and Huang, Xiangru and Huang, Qixing
- [pdf]
[bibtex]@InProceedings{Sun_2018_ECCV,
author = {Sun, Yifan and Liang, Zhenxiao and Huang, Xiangru and Huang, Qixing},
title = {Joint Map and Symmetry Synchronization},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Start, Follow, Read: End-to-End Full-Page Handwriting Recognition- Wigington, Curtis and Tensmeyer, Chris and Davis, Brian and Barrett, William and Price, Brian and Cohen, Scott
- [pdf]
[bibtex]@InProceedings{Wigington_2018_ECCV,
author = {Wigington, Curtis and Tensmeyer, Chris and Davis, Brian and Barrett, William and Price, Brian and Cohen, Scott},
title = {Start, Follow, Read: End-to-End Full-Page Handwriting Recognition},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Reverse Attention for Salient Object Detection- Chen, Shuhan and Tan, Xiuli and Wang, Ben and Hu, Xuelong
- [pdf]
[bibtex]@InProceedings{Chen_2018_ECCV,
author = {Chen, Shuhan and Tan, Xiuli and Wang, Ben and Hu, Xuelong},
title = {Reverse Attention for Salient Object Detection},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
TextSnake: A Flexible Representation for Detecting Text of Arbitrary Shapes- Long, Shangbang and Ruan, Jiaqiang and Zhang, Wenjie and He, Xin and Wu, Wenhao and Yao, Cong
- [pdf]
[bibtex]@InProceedings{Long_2018_ECCV,
author = {Long, Shangbang and Ruan, Jiaqiang and Zhang, Wenjie and He, Xin and Wu, Wenhao and Yao, Cong},
title = {TextSnake: A Flexible Representation for Detecting Text of Arbitrary Shapes},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Linear Span Network for Object Skeleton Detection- Liu, Chang and Ke, Wei and Qin, Fei and Ye, Qixiang
- [pdf]
[bibtex]@InProceedings{Liu_2018_ECCV,
author = {Liu, Chang and Ke, Wei and Qin, Fei and Ye, Qixiang},
title = {Linear Span Network for Object Skeleton Detection},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Efficient Relative Attribute Learning using Graph Neural Networks- Meng, Zihang and Adluru, Nagesh and Kim, Hyunwoo J. and Fung, Glenn and Singh, Vikas
- [pdf]
[bibtex]@InProceedings{Meng_2018_ECCV,
author = {Meng, Zihang and Adluru, Nagesh and Kim, Hyunwoo J. and Fung, Glenn and Singh, Vikas},
title = {Efficient Relative Attribute Learning using Graph Neural Networks},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Model-free Consensus Maximization for Non-Rigid Shapes- Probst, Thomas and Chhatkuli, Ajad and Pani Paudel, Danda and Van Gool, Luc
- [pdf]
[bibtex]@InProceedings{Probst_2018_ECCV,
author = {Probst, Thomas and Chhatkuli, Ajad and Pani Paudel, Danda and Van Gool, Luc},
title = {Model-free Consensus Maximization for Non-Rigid Shapes},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
U-PC: Unsupervised Planogram Compliance- Ray, Archan and Kumar, Nishant and Shaw, Avishek and Prasad Mukherjee, Dipti
- [pdf]
[bibtex]@InProceedings{Ray_2018_ECCV,
author = {Ray, Archan and Kumar, Nishant and Shaw, Avishek and Prasad Mukherjee, Dipti},
title = {U-PC: Unsupervised Planogram Compliance},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Predicting Future Instance Segmentation by Forecasting Convolutional Features- Luc, Pauline and Couprie, Camille and LeCun, Yann and Verbeek, Jakob
- [pdf]
[bibtex]@InProceedings{Luc_2018_ECCV,
author = {Luc, Pauline and Couprie, Camille and LeCun, Yann and Verbeek, Jakob},
title = {Predicting Future Instance Segmentation by Forecasting Convolutional Features},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Person Search by Multi-Scale Matching- Lan, Xu and Zhu, Xiatian and Gong, Shaogang
- [pdf]
[bibtex]@InProceedings{Lan_2018_ECCV,
author = {Lan, Xu and Zhu, Xiatian and Gong, Shaogang},
title = {Person Search by Multi-Scale Matching},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Flow-Grounded Spatial-Temporal Video Prediction from Still Images- Li, Yijun and Fang, Chen and Yang, Jimei and Wang, Zhaowen and Lu, Xin and Yang, Ming-Hsuan
- [pdf]
[bibtex]@InProceedings{Li_2018_ECCV,
author = {Li, Yijun and Fang, Chen and Yang, Jimei and Wang, Zhaowen and Lu, Xin and Yang, Ming-Hsuan},
title = {Flow-Grounded Spatial-Temporal Video Prediction from Still Images},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Liquid Pouring Monitoring via Rich Sensory Inputs- Wu, Tz-Ying and Lin, Juan-Ting and Wang, Tsun-Hsuang and Hu, Chan-Wei and Niebles, Juan Carlos and Sun, Min
- [pdf]
[bibtex]@InProceedings{Wu_2018_ECCV,
author = {Wu, Tz-Ying and Lin, Juan-Ting and Wang, Tsun-Hsuang and Hu, Chan-Wei and Niebles, Juan Carlos and Sun, Min},
title = {Liquid Pouring Monitoring via Rich Sensory Inputs},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Exploiting temporal information for 3D human pose estimation- Rayat Imtiaz Hossain, Mir and Little, James J.
- [pdf]
[bibtex]@InProceedings{Hossain_2018_ECCV,
author = {Rayat Imtiaz Hossain, Mir and Little, James J.},
title = {Exploiting temporal information for 3D human pose estimation},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Unsupervised CNN-based Co-Saliency Detection with Graphical Optimization- Hsu, Kuang-Jui and Tsai, Chung-Chi and Lin, Yen-Yu and Qian, Xiaoning and Chuang, Yung-Yu
- [pdf]
[bibtex]@InProceedings{Hsu_2018_ECCV,
author = {Hsu, Kuang-Jui and Tsai, Chung-Chi and Lin, Yen-Yu and Qian, Xiaoning and Chuang, Yung-Yu},
title = {Unsupervised CNN-based Co-Saliency Detection with Graphical Optimization},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Localization Recall Precision (LRP): A New Performance Metric for Object Detection- Oksuz, Kemal and Can Cam, Baris and Akbas, Emre and Kalkan, Sinan
- [pdf]
[bibtex]@InProceedings{Oksuz_2018_ECCV,
author = {Oksuz, Kemal and Can Cam, Baris and Akbas, Emre and Kalkan, Sinan},
title = {Localization Recall Precision (LRP): A New Performance Metric for Object Detection},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Attentive Semantic Alignment with Offset-Aware Correlation Kernels- Hongsuck Seo, Paul and Lee, Jongmin and Jung, Deunsol and Han, Bohyung and Cho, Minsu
- [pdf]
[bibtex]@InProceedings{Seo_2018_ECCV,
author = {Hongsuck Seo, Paul and Lee, Jongmin and Jung, Deunsol and Han, Bohyung and Cho, Minsu},
title = {Attentive Semantic Alignment with Offset-Aware Correlation Kernels},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Learning 3D Human Pose from Structure and Motion- Dabral, Rishabh and Mundhada, Anurag and Kusupati, Uday and Afaque, Safeer and Sharma, Abhishek and Jain, Arjun
- [pdf]
[bibtex]@InProceedings{Dabral_2018_ECCV,
author = {Dabral, Rishabh and Mundhada, Anurag and Kusupati, Uday and Afaque, Safeer and Sharma, Abhishek and Jain, Arjun},
title = {Learning 3D Human Pose from Structure and Motion},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
ForestHash: Semantic Hashing With Shallow Random Forests and Tiny Convolutional Networks- Qiu, Qiang and Lezama, Jose and Bronstein, Alex and Sapiro, Guillermo
- [pdf]
[bibtex]@InProceedings{Qiu_2018_ECCV,
author = {Qiu, Qiang and Lezama, Jose and Bronstein, Alex and Sapiro, Guillermo},
title = {ForestHash: Semantic Hashing With Shallow Random Forests and Tiny Convolutional Networks},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Online Detection of Action Start in Untrimmed, Streaming Videos- Shou, Zheng and Pan, Junting and Chan, Jonathan and Miyazawa, Kazuyuki and Mansour, Hassan and Vetro, Anthony and Giro-i-Nieto, Xavier and Chang, Shih-Fu
- [pdf]
[bibtex]@InProceedings{Shou_2018_ECCV,
author = {Shou, Zheng and Pan, Junting and Chan, Jonathan and Miyazawa, Kazuyuki and Mansour, Hassan and Vetro, Anthony and Giro-i-Nieto, Xavier and Chang, Shih-Fu},
title = {Online Detection of Action Start in Untrimmed, Streaming Videos},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Exploring the Limits of Weakly Supervised Pretraining- Mahajan, Dhruv and Girshick, Ross and Ramanathan, Vignesh and He, Kaiming and Paluri, Manohar and Li, Yixuan and Bharambe, Ashwin and van der Maaten, Laurens
- [pdf]
[bibtex]@InProceedings{Mahajan_2018_ECCV,
author = {Mahajan, Dhruv and Girshick, Ross and Ramanathan, Vignesh and He, Kaiming and Paluri, Manohar and Li, Yixuan and Bharambe, Ashwin and van der Maaten, Laurens},
title = {Exploring the Limits of Weakly Supervised Pretraining},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Revisiting RCNN: On Awakening the Classification Power of Faster RCNN- Cheng, Bowen and Wei, Yunchao and Shi, Honghui and Feris, Rogerio and Xiong, Jinjun and Huang, Thomas
- [pdf]
[bibtex]@InProceedings{Cheng_2018_ECCV,
author = {Cheng, Bowen and Wei, Yunchao and Shi, Honghui and Feris, Rogerio and Xiong, Jinjun and Huang, Thomas},
title = {Revisiting RCNN: On Awakening the Classification Power of Faster RCNN},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
HandMap: Robust Hand Pose Estimation via Intermediate Dense Guidance Map Supervision- Wu, Xiaokun and Finnegan, Daniel and O'Neill, Eamonn and Yang, Yong-Liang
- [pdf]
[bibtex]@InProceedings{Wu_2018_ECCV,
author = {Wu, Xiaokun and Finnegan, Daniel and O'Neill, Eamonn and Yang, Yong-Liang},
title = {HandMap: Robust Hand Pose Estimation via Intermediate Dense Guidance Map Supervision},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Unsupervised Learning of Multi-Frame Optical Flow with Occlusions- Janai, Joel and Guney, Fatma and Ranjan, Anurag and Black, Michael and Geiger, Andreas
- [pdf]
[bibtex]@InProceedings{Janai_2018_ECCV,
author = {Janai, Joel and Guney, Fatma and Ranjan, Anurag and Black, Michael and Geiger, Andreas},
title = {Unsupervised Learning of Multi-Frame Optical Flow with Occlusions},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Integrating Egocentric Videos in Top-view Surveillance Videos: Joint Identification and Temporal Alignment- Ardeshir, Shervin and Borji, Ali
- [pdf]
[bibtex]@InProceedings{Ardeshir_2018_ECCV,
author = {Ardeshir, Shervin and Borji, Ali},
title = {Integrating Egocentric Videos in Top-view Surveillance Videos: Joint Identification and Temporal Alignment},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Attribute-Guided Face Generation Using Conditional CycleGAN- Lu, Yongyi and Tai, Yu-Wing and Tang, Chi-Keung
- [pdf]
[bibtex]@InProceedings{Lu_2018_ECCV,
author = {Lu, Yongyi and Tai, Yu-Wing and Tang, Chi-Keung},
title = {Attribute-Guided Face Generation Using Conditional CycleGAN},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Distortion-Aware Convolutional Filters for Dense Prediction in Panoramic Images- Tateno, Keisuke and Navab, Nassir and Tombari, Federico
- [pdf]
[bibtex]@InProceedings{Tateno_2018_ECCV,
author = {Tateno, Keisuke and Navab, Nassir and Tombari, Federico},
title = {Distortion-Aware Convolutional Filters for Dense Prediction in Panoramic Images},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Joint Camera Spectral Sensitivity Selection and Hyperspectral Image Recovery- Fu, Ying and Zhang, Tao and Zheng, Yinqiang and Zhang, Debing and Huang, Hua
- [pdf]
[bibtex]@InProceedings{Fu_2018_ECCV,
author = {Fu, Ying and Zhang, Tao and Zheng, Yinqiang and Zhang, Debing and Huang, Hua},
title = {Joint Camera Spectral Sensitivity Selection and Hyperspectral Image Recovery},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Monocular Depth Estimation Using Whole Strip Masking and Reliability-Based Refinement- Heo, Minhyeok and Lee, Jaehan and Kim, Kyung-Rae and Kim, Han-Ul and Kim, Chang-Su
- [pdf]
[bibtex]@InProceedings{Heo_2018_ECCV,
author = {Heo, Minhyeok and Lee, Jaehan and Kim, Kyung-Rae and Kim, Han-Ul and Kim, Chang-Su},
title = {Monocular Depth Estimation Using Whole Strip Masking and Reliability-Based Refinement},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Analyzing Clothing Layer Deformation Statistics of 3D Human Motions- Yang, Jinlong and Franco, Jean-Sebastien and Hetroy-Wheeler, Franck and Wuhrer, Stefanie
- [pdf]
[bibtex]@InProceedings{Yang_2018_ECCV,
author = {Yang, Jinlong and Franco, Jean-Sebastien and Hetroy-Wheeler, Franck and Wuhrer, Stefanie},
title = {Analyzing Clothing Layer Deformation Statistics of 3D Human Motions},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Image Super-Resolution Using Very Deep Residual Channel Attention Networks- Zhang, Yulun and Li, Kunpeng and Li, Kai and Wang, Lichen and Zhong, Bineng and Fu, Yun
- [pdf]
[bibtex]@InProceedings{Zhang_2018_ECCV,
author = {Zhang, Yulun and Li, Kunpeng and Li, Kai and Wang, Lichen and Zhong, Bineng and Fu, Yun},
title = {Image Super-Resolution Using Very Deep Residual Channel Attention Networks},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Semi-Supervised Generative Adversarial Hashing for Image Retrieval- Wang, Guan'an and Hu, Qinghao and Cheng, Jian and Hou, Zengguang
- [pdf]
[bibtex]@InProceedings{Wang_2018_ECCV,
author = {Wang, Guan'an and Hu, Qinghao and Cheng, Jian and Hou, Zengguang},
title = {Semi-Supervised Generative Adversarial Hashing for Image Retrieval},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Learning Single-View 3D Reconstruction with Limited Pose Supervision- Yang, Guandao and Cui, Yin and Belongie, Serge and Hariharan, Bharath
- [pdf]
[bibtex]@InProceedings{Yang_2018_ECCV,
author = {Yang, Guandao and Cui, Yin and Belongie, Serge and Hariharan, Bharath},
title = {Learning Single-View 3D Reconstruction with Limited Pose Supervision},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Materials for Masses: SVBRDF Acquisition with a Single Mobile Phone Image- Li, Zhengqin and Sunkavalli, Kalyan and Chandraker, Manmohan
- [pdf]
[bibtex]@InProceedings{Li_2018_ECCV,
author = {Li, Zhengqin and Sunkavalli, Kalyan and Chandraker, Manmohan},
title = {Materials for Masses: SVBRDF Acquisition with a Single Mobile Phone Image},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Multi-Scale Spatially-Asymmetric Recalibration for Image Classification- Wang, Yan and Xie, Lingxi and Qiao, Siyuan and Zhang, Ya and Zhang, Wenjun and Yuille, Alan L.
- [pdf]
[bibtex]@InProceedings{Wang_2018_ECCV,
author = {Wang, Yan and Xie, Lingxi and Qiao, Siyuan and Zhang, Ya and Zhang, Wenjun and Yuille, Alan L.},
title = {Multi-Scale Spatially-Asymmetric Recalibration for Image Classification},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Graph Adaptive Knowledge Transfer for Unsupervised Domain Adaptation- Ding, Zhengming and Li, Sheng and Shao, Ming and Fu, Yun
- [pdf]
[bibtex]@InProceedings{Ding_2018_ECCV,
author = {Ding, Zhengming and Li, Sheng and Shao, Ming and Fu, Yun},
title = {Graph Adaptive Knowledge Transfer for Unsupervised Domain Adaptation},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Improving Sequential Determinantal Point Processes for Supervised Video Summarization- Sharghi, Aidean and Borji, Ali and Li, Chengtao and Yang, Tianbao and Gong, Boqing
- [pdf]
[bibtex]@InProceedings{Sharghi_2018_ECCV,
author = {Sharghi, Aidean and Borji, Ali and Li, Chengtao and Yang, Tianbao and Gong, Boqing},
title = {Improving Sequential Determinantal Point Processes for Supervised Video Summarization},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Specular-to-Diffuse Translation for Multi-View Reconstruction- Wu, Shihao and Huang, Hui and Portenier, Tiziano and Sela, Matan and Cohen-Or, Daniel and Kimmel, Ron and Zwicker, Matthias
- [pdf]
[bibtex]@InProceedings{Wu_2018_ECCV,
author = {Wu, Shihao and Huang, Hui and Portenier, Tiziano and Sela, Matan and Cohen-Or, Daniel and Kimmel, Ron and Zwicker, Matthias},
title = {Specular-to-Diffuse Translation for Multi-View Reconstruction},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
RESOUND: Towards Action Recognition without Representation Bias- Li, Yingwei and Li, Yi and Vasconcelos, Nuno
- [pdf]
[bibtex]@InProceedings{Li_2018_ECCV,
author = {Li, Yingwei and Li, Yi and Vasconcelos, Nuno},
title = {RESOUND: Towards Action Recognition without Representation Bias},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
A Framework for Evaluating 6-DOF Object Trackers- Garon, Mathieu and Laurendeau, Denis and Lalonde, Jean-Francois
- [pdf]
[bibtex]@InProceedings{Garon_2018_ECCV,
author = {Garon, Mathieu and Laurendeau, Denis and Lalonde, Jean-Francois},
title = {A Framework for Evaluating 6-DOF Object Trackers},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Extending Layered Models to 3D Motion- Lao, Dong and Sundaramoorthi, Ganesh
- [pdf]
[bibtex]@InProceedings{Lao_2018_ECCV,
author = {Lao, Dong and Sundaramoorthi, Ganesh},
title = {Extending Layered Models to 3D Motion},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Long-term Tracking in the Wild: a Benchmark- Valmadre, Jack and Bertinetto, Luca and Henriques, Joao F. and Tao, Ran and Vedaldi, Andrea and Smeulders, Arnold W.M. and Torr, Philip H.S. and Gavves, Efstratios
- [pdf]
[bibtex]@InProceedings{Valmadre_2018_ECCV,
author = {Valmadre, Jack and Bertinetto, Luca and Henriques, Joao F. and Tao, Ran and Vedaldi, Andrea and Smeulders, Arnold W.M. and Torr, Philip H.S. and Gavves, Efstratios},
title = {Long-term Tracking in the Wild: a Benchmark},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Human Motion Analysis with Deep Metric Learning- Coskun, Huseyin and Joseph Tan, David and Conjeti, Sailesh and Navab, Nassir and Tombari, Federico
- [pdf]
[bibtex]@InProceedings{Coskun_2018_ECCV,
author = {Coskun, Huseyin and Joseph Tan, David and Conjeti, Sailesh and Navab, Nassir and Tombari, Federico},
title = {Human Motion Analysis with Deep Metric Learning},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Adaptive Affinity Fields for Semantic Segmentation- Ke, Tsung-Wei and Hwang, Jyh-Jing and Liu, Ziwei and Yu, Stella X.
- [pdf]
[bibtex]@InProceedings{Ke_2018_ECCV,
author = {Ke, Tsung-Wei and Hwang, Jyh-Jing and Liu, Ziwei and Yu, Stella X.},
title = {Adaptive Affinity Fields for Semantic Segmentation},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Hierarchy of Alternating Specialists for Scene Recognition- Jin Kim, Hyo and Frahm, Jan-Michael
- [pdf]
[bibtex]@InProceedings{Kim_2018_ECCV,
author = {Jin Kim, Hyo and Frahm, Jan-Michael},
title = {Hierarchy of Alternating Specialists for Scene Recognition},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Multi-Scale Structure-Aware Network for Human Pose Estimation- Ke, Lipeng and Chang, Ming-Ching and Qi, Honggang and Lyu, Siwei
- [pdf]
[bibtex]@InProceedings{Ke_2018_ECCV,
author = {Ke, Lipeng and Chang, Ming-Ching and Qi, Honggang and Lyu, Siwei},
title = {Multi-Scale Structure-Aware Network for Human Pose Estimation },
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
License Plate Detection and Recognition in Unconstrained Scenarios- Montazzolli Silva, Sergio and Rosito Jung, Claudio
- [pdf]
[bibtex]@InProceedings{Silva_2018_ECCV,
author = {Montazzolli Silva, Sergio and Rosito Jung, Claudio},
title = {License Plate Detection and Recognition in Unconstrained Scenarios},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Where Will They Go? Predicting Fine-Grained Adversarial Multi-Agent Motion using Conditional Variational Autoencoders- Felsen, Panna and Lucey, Patrick and Ganguly, Sujoy
- [pdf]
[bibtex]@InProceedings{Felsen_2018_ECCV,
author = {Felsen, Panna and Lucey, Patrick and Ganguly, Sujoy},
title = {Where Will They Go? Predicting Fine-Grained Adversarial Multi-Agent Motion using Conditional Variational Autoencoders},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Deep Multi-Task Learning to Recognise Subtle Facial Expressions of Mental States- Hu, Guosheng and Liu, Li and Yuan, Yang and Yu, Zehao and Hua, Yang and Zhang, Zhihong and Shen, Fumin and Shao, Ling and Hospedales, Timothy and Robertson, Neil and Yang, Yongxin
- [pdf]
[bibtex]@InProceedings{Hu_2018_ECCV,
author = {Hu, Guosheng and Liu, Li and Yuan, Yang and Yu, Zehao and Hua, Yang and Zhang, Zhihong and Shen, Fumin and Shao, Ling and Hospedales, Timothy and Robertson, Neil and Yang, Yongxin},
title = {Deep Multi-Task Learning to Recognise Subtle Facial Expressions of Mental States},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
PlaneMatch: Patch Coplanarity Prediction for Robust RGB-D Reconstruction- Shi, Yifei and Xu, Kai and Niessner, Matthias and Rusinkiewicz, Szymon and Funkhouser, Thomas
- [pdf]
[bibtex]@InProceedings{Shi_2018_ECCV,
author = {Shi, Yifei and Xu, Kai and Niessner, Matthias and Rusinkiewicz, Szymon and Funkhouser, Thomas},
title = {PlaneMatch: Patch Coplanarity Prediction for Robust RGB-D Reconstruction},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
PPF-FoldNet: Unsupervised Learning of Rotation Invariant 3D Local Descriptors- Deng, Haowen and Birdal, Tolga and Ilic, Slobodan
- [pdf]
[bibtex]@InProceedings{Deng_2018_ECCV,
author = {Deng, Haowen and Birdal, Tolga and Ilic, Slobodan},
title = {PPF-FoldNet: Unsupervised Learning of Rotation Invariant 3D Local Descriptors},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
HBE: Hand Branch Ensemble Network for Real-time 3D Hand Pose Estimation- Zhou, Yidan and Lu, Jian and Du, Kuo and Lin, Xiangbo and Sun, Yi and Ma, Xiaohong
- [pdf]
[bibtex]@InProceedings{Zhou_2018_ECCV,
author = {Zhou, Yidan and Lu, Jian and Du, Kuo and Lin, Xiangbo and Sun, Yi and Ma, Xiaohong},
title = {HBE: Hand Branch Ensemble Network for Real-time 3D Hand Pose Estimation},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
ShapeStacks: Learning Vision-Based Physical Intuition for Generalised Object Stacking- Groth, Oliver and Fuchs, Fabian B. and Posner, Ingmar and Vedaldi, Andrea
- [pdf]
[bibtex]@InProceedings{Groth_2018_ECCV,
author = {Groth, Oliver and Fuchs, Fabian B. and Posner, Ingmar and Vedaldi, Andrea},
title = {ShapeStacks: Learning Vision-Based Physical Intuition for Generalised Object Stacking},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Grassmann Pooling as Compact Homogeneous Bilinear Pooling for Fine-Grained Visual Classification- Wei, Xing and Zhang, Yue and Gong, Yihong and Zhang, Jiawei and Zheng, Nanning
- [pdf]
[bibtex]@InProceedings{Wei_2018_ECCV,
author = {Wei, Xing and Zhang, Yue and Gong, Yihong and Zhang, Jiawei and Zheng, Nanning},
title = {Grassmann Pooling as Compact Homogeneous Bilinear Pooling for Fine-Grained Visual Classification},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Deep Generative Models for Weakly-Supervised Multi-Label Classification- Chu, Hong-Min and Yeh, Chih-Kuan and Frank Wang, Yu-Chiang
- [pdf]
[bibtex]@InProceedings{Chu_2018_ECCV,
author = {Chu, Hong-Min and Yeh, Chih-Kuan and Frank Wang, Yu-Chiang},
title = {Deep Generative Models for Weakly-Supervised Multi-Label Classification},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
SRDA: Generating Instance Segmentation Annotation via Scanning, Reasoning and Domain Adaptation- Xu, Wenqiang and Li, Yonglu and Lu, Cewu
- [pdf]
[bibtex]@InProceedings{Xu_2018_ECCV,
author = {Xu, Wenqiang and Li, Yonglu and Lu, Cewu},
title = {SRDA: Generating Instance Segmentation Annotation via Scanning, Reasoning and Domain Adaptation},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
MPLP++: Fast, Parallel Dual Block-Coordinate Ascent for Dense Graphical Models- Tourani, Siddharth and Shekhovtsov, Alexander and Rother, Carsten and Savchynskyy, Bogdan
- [pdf]
[bibtex]@InProceedings{Tourani_2018_ECCV,
author = {Tourani, Siddharth and Shekhovtsov, Alexander and Rother, Carsten and Savchynskyy, Bogdan},
title = {MPLP++: Fast, Parallel Dual Block-Coordinate Ascent for Dense Graphical Models},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Unsupervised Video Object Segmentation using Motion Saliency-Guided Spatio-Temporal Propagation- Hu, Yuan-Ting and Huang, Jia-Bin and Schwing, Alexander G.
- [pdf]
[bibtex]@InProceedings{Hu_2018_ECCV,
author = {Hu, Yuan-Ting and Huang, Jia-Bin and Schwing, Alexander G.},
title = {Unsupervised Video Object Segmentation using Motion Saliency-Guided Spatio-Temporal Propagation},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Semi-Supervised Deep Learning with Memory- Chen, Yanbei and Zhu, Xiatian and Gong, Shaogang
- [pdf]
[bibtex]@InProceedings{Chen_2018_ECCV,
author = {Chen, Yanbei and Zhu, Xiatian and Gong, Shaogang},
title = {Semi-Supervised Deep Learning with Memory},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Deep Reinforcement Learning with Iterative Shift for Visual Tracking- Ren, Liangliang and Yuan, Xin and Lu, Jiwen and Yang, Ming and Zhou, Jie
- [pdf]
[bibtex]@InProceedings{Ren_2018_ECCV,
author = {Ren, Liangliang and Yuan, Xin and Lu, Jiwen and Yang, Ming and Zhou, Jie},
title = {Deep Reinforcement Learning with Iterative Shift for Visual Tracking},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
X2Face: A network for controlling face generation using images, audio, and pose codes- Wiles, Olivia and Sophia Koepke, A. and Zisserman, Andrew
- [pdf]
[bibtex]@InProceedings{Wiles_2018_ECCV,
author = {Wiles, Olivia and Sophia Koepke, A. and Zisserman, Andrew},
title = {X2Face: A network for controlling face generation using images, audio, and pose codes},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Correcting the Triplet Selection Bias for Triplet Loss- Yu, Baosheng and Liu, Tongliang and Gong, Mingming and Ding, Changxing and Tao, Dacheng
- [pdf]
[bibtex]@InProceedings{Yu_2018_ECCV,
author = {Yu, Baosheng and Liu, Tongliang and Gong, Mingming and Ding, Changxing and Tao, Dacheng},
title = {Correcting the Triplet Selection Bias for Triplet Loss},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Women also Snowboard: Overcoming Bias in Captioning Models- Anne Hendricks, Lisa and Burns, Kaylee and Saenko, Kate and Darrell, Trevor and Rohrbach, Anna
- [pdf]
[bibtex]@InProceedings{Hendricks_2018_ECCV,
author = {Anne Hendricks, Lisa and Burns, Kaylee and Saenko, Kate and Darrell, Trevor and Rohrbach, Anna},
title = {Women also Snowboard: Overcoming Bias in Captioning Models},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
GAL: Geometric Adversarial Loss for Single-View 3D-Object Reconstruction- Jiang, Li and Shi, Shaoshuai and Qi, Xiaojuan and Jia, Jiaya
- [pdf]
[bibtex]@InProceedings{Jiang_2018_ECCV,
author = {Jiang, Li and Shi, Shaoshuai and Qi, Xiaojuan and Jia, Jiaya},
title = {GAL: Geometric Adversarial Loss for Single-View 3D-Object Reconstruction},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Contextual-based Image Inpainting: Infer, Match, and Translate- Song, Yuhang and Yang, Chao and Lin, Zhe and Liu, Xiaofeng and Huang, Qin and Li, Hao and Jay Kuo, C.-C.
- [pdf]
[bibtex]@InProceedings{Song_2018_ECCV,
author = {Song, Yuhang and Yang, Chao and Lin, Zhe and Liu, Xiaofeng and Huang, Qin and Li, Hao and Jay Kuo, C.-C.},
title = {Contextual-based Image Inpainting: Infer, Match, and Translate},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Inner Space Preserving Generative Pose Machine- Liu, Shuangjun and Ostadabbas, Sarah
- [pdf]
[bibtex]@InProceedings{Liu_2018_ECCV,
author = {Liu, Shuangjun and Ostadabbas, Sarah},
title = {Inner Space Preserving Generative Pose Machine},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
SOD-MTGAN: Small Object Detection via Multi-Task Generative Adversarial Network- Bai, Yancheng and Zhang, Yongqiang and Ding, Mingli and Ghanem, Bernard
- [pdf]
[bibtex]@InProceedings{Bai_2018_ECCV,
author = {Bai, Yancheng and Zhang, Yongqiang and Ding, Mingli and Ghanem, Bernard},
title = {SOD-MTGAN: Small Object Detection via Multi-Task Generative Adversarial Network},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Dependency-aware Attention Control for Unconstrained Face Recognition with Image Sets- Liu, Xiaofeng and Vijaya Kumar, B.V.K and Yang, Chao and Tang, Qingming and You, Jane
- [pdf]
[bibtex]@InProceedings{Liu_2018_ECCV,
author = {Liu, Xiaofeng and Vijaya Kumar, B.V.K and Yang, Chao and Tang, Qingming and You, Jane},
title = {Dependency-aware Attention Control for Unconstrained Face Recognition with Image Sets},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
End-to-end View Synthesis for Light Field Imaging with Pseudo 4DCNN- Wang, Yunlong and Liu, Fei and Wang, Zilei and Hou, Guangqi and Sun, Zhenan and Tan, Tieniu
- [pdf]
[bibtex]@InProceedings{Wang_2018_ECCV,
author = {Wang, Yunlong and Liu, Fei and Wang, Zilei and Hou, Guangqi and Sun, Zhenan and Tan, Tieniu},
title = {End-to-end View Synthesis for Light Field Imaging with Pseudo 4DCNN},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Iterative Crowd Counting- Ranjan, Viresh and Le, Hieu and Hoai, Minh
- [pdf]
[bibtex]@InProceedings{Ranjan_2018_ECCV,
author = {Ranjan, Viresh and Le, Hieu and Hoai, Minh},
title = {Iterative Crowd Counting},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
DeepPhys: Video-Based Physiological Measurement Using Convolutional Attention Networks- Chen, Weixuan and McDuff, Daniel
- [pdf]
[bibtex]@InProceedings{Chen_2018_ECCV,
author = {Chen, Weixuan and McDuff, Daniel},
title = {DeepPhys: Video-Based Physiological Measurement Using Convolutional Attention Networks},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
On the Solvability of Viewing Graphs- Trager, Matthew and Osserman, Brian and Ponce, Jean
- [pdf]
[bibtex]@InProceedings{Trager_2018_ECCV,
author = {Trager, Matthew and Osserman, Brian and Ponce, Jean},
title = {On the Solvability of Viewing Graphs},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
A Systematic DNN Weight Pruning Framework using Alternating Direction Method of Multipliers- Zhang, Tianyun and Ye, Shaokai and Zhang, Kaiqi and Tang, Jian and Wen, Wujie and Fardad, Makan and Wang, Yanzhi
- [pdf]
[bibtex]@InProceedings{Zhang_2018_ECCV,
author = {Zhang, Tianyun and Ye, Shaokai and Zhang, Kaiqi and Tang, Jian and Wen, Wujie and Fardad, Makan and Wang, Yanzhi},
title = {A Systematic DNN Weight Pruning Framework using Alternating Direction Method of Multipliers},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Multimodal Dual Attention Memory for Video Story Question Answering- Kim, Kyung-Min and Choi, Seong-Ho and Kim, Jin-Hwa and Zhang, Byoung-Tak
- [pdf]
[bibtex]@InProceedings{Kim_2018_ECCV,
author = {Kim, Kyung-Min and Choi, Seong-Ho and Kim, Jin-Hwa and Zhang, Byoung-Tak},
title = {Multimodal Dual Attention Memory for Video Story Question Answering},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
SAN: Learning Relationship between Convolutional Features for Multi-Scale Object Detection- Kim, Yonghyun and Kang, Bong-Nam and Kim, Daijin
- [pdf]
[bibtex]@InProceedings{Kim_2018_ECCV,
author = {Kim, Yonghyun and Kang, Bong-Nam and Kim, Daijin},
title = {SAN: Learning Relationship between Convolutional Features for Multi-Scale Object Detection},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Single Shot Scene Text Retrieval- Gomez, Lluis and Mafla, Andres and Rusinol, Marcal and Karatzas, Dimosthenis
- [pdf]
[bibtex]@InProceedings{Gomez_2018_ECCV,
author = {Gomez, Lluis and Mafla, Andres and Rusinol, Marcal and Karatzas, Dimosthenis},
title = {Single Shot Scene Text Retrieval},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Dynamic Task Prioritization for Multitask Learning- Guo, Michelle and Haque, Albert and Huang, De-An and Yeung, Serena and Fei-Fei, Li
- [pdf]
[bibtex]@InProceedings{Guo_2018_ECCV,
author = {Guo, Michelle and Haque, Albert and Huang, De-An and Yeung, Serena and Fei-Fei, Li},
title = {Dynamic Task Prioritization for Multitask Learning},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Self-supervised Knowledge Distillation Using Singular Value Decomposition- Hyun Lee, Seung and Ha Kim, Dae and Cheol Song, Byung
- [pdf]
[bibtex]@InProceedings{Lee_2018_ECCV,
author = {Hyun Lee, Seung and Ha Kim, Dae and Cheol Song, Byung},
title = {Self-supervised Knowledge Distillation Using Singular Value Decomposition},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Transductive Centroid Projection for Semi-supervised Large-scale Recognition- Liu, Yu and Song, Guanglu and Shao, Jing and Jin, Xiao and Wang, Xiaogang
- [pdf]
[bibtex]@InProceedings{Liu_2018_ECCV,
author = {Liu, Yu and Song, Guanglu and Shao, Jing and Jin, Xiao and Wang, Xiaogang},
title = {Transductive Centroid Projection for Semi-supervised Large-scale Recognition},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Deep Shape Matching- Radenovic, Filip and Tolias, Giorgos and Chum, Ondrej
- [pdf]
[bibtex]@InProceedings{Radenovic_2018_ECCV,
author = {Radenovic, Filip and Tolias, Giorgos and Chum, Ondrej},
title = {Deep Shape Matching},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Fast, Accurate, and Lightweight Super-Resolution with Cascading Residual Network- Ahn, Namhyuk and Kang, Byungkon and Sohn, Kyung-Ah
- [pdf]
[bibtex]@InProceedings{Ahn_2018_ECCV,
author = {Ahn, Namhyuk and Kang, Byungkon and Sohn, Kyung-Ah},
title = {Fast, Accurate, and Lightweight Super-Resolution with Cascading Residual Network},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
CIRL: Controllable Imitative Reinforcement Learning for Vision-based Self-driving- Liang, Xiaodan and Wang, Tairui and Yang, Luona and Xing, Eric
- [pdf]
[bibtex]@InProceedings{Liang_2018_ECCV,
author = {Liang, Xiaodan and Wang, Tairui and Yang, Luona and Xing, Eric},
title = {CIRL: Controllable Imitative Reinforcement Learning for Vision-based Self-driving},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
EC-Net: an Edge-aware Point set Consolidation Network- Yu, Lequan and Li, Xianzhi and Fu, Chi-Wing and Cohen-Or, Daniel and Heng, Pheng-Ann
- [pdf]
[bibtex]@InProceedings{Yu_2018_ECCV,
author = {Yu, Lequan and Li, Xianzhi and Fu, Chi-Wing and Cohen-Or, Daniel and Heng, Pheng-Ann},
title = {EC-Net: an Edge-aware Point set Consolidation Network},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Part-Activated Deep Reinforcement Learning for Action Prediction- Chen, Lei and Lu, Jiwen and Song, Zhanjie and Zhou, Jie
- [pdf]
[bibtex]@InProceedings{Chen_2018_ECCV,
author = {Chen, Lei and Lu, Jiwen and Song, Zhanjie and Zhou, Jie},
title = {Part-Activated Deep Reinforcement Learning for Action Prediction},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Learning to Navigate for Fine-grained Classification- Yang, Ze and Luo, Tiange and Wang, Dong and Hu, Zhiqiang and Gao, Jun and Wang, Liwei
- [pdf]
[bibtex]@InProceedings{Yang_2018_ECCV,
author = {Yang, Ze and Luo, Tiange and Wang, Dong and Hu, Zhiqiang and Gao, Jun and Wang, Liwei},
title = {Learning to Navigate for Fine-grained Classification},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Single Image Highlight Removal with a Sparse and Low-Rank Reflection Model- Guo, Jie and Zhou, Zuojian and Wang, Limin
- [pdf]
[bibtex]@InProceedings{Guo_2018_ECCV,
author = {Guo, Jie and Zhou, Zuojian and Wang, Limin},
title = {Single Image Highlight Removal with a Sparse and Low-Rank Reflection Model},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Improving Shape Deformation in Unsupervised Image-to-Image Translation- Gokaslan, Aaron and Ramanujan, Vivek and Ritchie, Daniel and In Kim, Kwang and Tompkin, James
- [pdf]
[bibtex]@InProceedings{Gokaslan_2018_ECCV,
author = {Gokaslan, Aaron and Ramanujan, Vivek and Ritchie, Daniel and In Kim, Kwang and Tompkin, James},
title = {Improving Shape Deformation in Unsupervised Image-to-Image Translation},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Scalable Exemplar-based Subspace Clustering on Class-Imbalanced Data- You, Chong and Li, Chi and Robinson, Daniel P. and Vidal, Rene
- [pdf]
[bibtex]@InProceedings{You_2018_ECCV,
author = {You, Chong and Li, Chi and Robinson, Daniel P. and Vidal, Rene},
title = {Scalable Exemplar-based Subspace Clustering on Class-Imbalanced Data},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
3D Ego-Pose Estimation via Imitation Learning- Yuan, Ye and Kitani, Kris
- [pdf]
[bibtex]@InProceedings{Yuan_2018_ECCV,
author = {Yuan, Ye and Kitani, Kris},
title = {3D Ego-Pose Estimation via Imitation Learning},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Visual Coreference Resolution in Visual Dialog using Neural Module Networks- Kottur, Satwik and Moura, Jose M. F. and Parikh, Devi and Batra, Dhruv and Rohrbach, Marcus
- [pdf]
[bibtex]@InProceedings{Kottur_2018_ECCV,
author = {Kottur, Satwik and Moura, Jose M. F. and Parikh, Devi and Batra, Dhruv and Rohrbach, Marcus},
title = {Visual Coreference Resolution in Visual Dialog using Neural Module Networks},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
LSQ++: Lower running time and higher recall in multi-codebook quantization- Martinez, Julieta and Zakhmi, Shobhit and Hoos, Holger H. and Little, James J.
- [pdf]
[bibtex]@InProceedings{Martinez_2018_ECCV,
author = {Martinez, Julieta and Zakhmi, Shobhit and Hoos, Holger H. and Little, James J.},
title = {LSQ++: Lower running time and higher recall in multi-codebook quantization},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
A Hybrid Model for Identity Obfuscation by Face Replacement- Sun, Qianru and Tewari, Ayush and Xu, Weipeng and Fritz, Mario and Theobalt, Christian and Schiele, Bernt
- [pdf]
[bibtex]@InProceedings{Sun_2018_ECCV,
author = {Sun, Qianru and Tewari, Ayush and Xu, Weipeng and Fritz, Mario and Theobalt, Christian and Schiele, Bernt},
title = {A Hybrid Model for Identity Obfuscation by Face Replacement},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Depth-aware CNN for RGB-D Segmentation- Wang, Weiyue and Neumann, Ulrich
- [pdf]
[bibtex]@InProceedings{Wang_2018_ECCV,
author = {Wang, Weiyue and Neumann, Ulrich},
title = {Depth-aware CNN for RGB-D Segmentation},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
BiSeNet: Bilateral Segmentation Network for Real-time Semantic Segmentation- Yu, Changqian and Wang, Jingbo and Peng, Chao and Gao, Changxin and Yu, Gang and Sang, Nong
- [pdf]
[bibtex]@InProceedings{Yu_2018_ECCV,
author = {Yu, Changqian and Wang, Jingbo and Peng, Chao and Gao, Changxin and Yu, Gang and Sang, Nong},
title = {BiSeNet: Bilateral Segmentation Network for Real-time Semantic Segmentation},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
ActiveStereoNet: End-to-End Self-Supervised Learning for Active Stereo Systems- Zhang, Yinda and Khamis, Sameh and Rhemann, Christoph and Valentin, Julien and Kowdle, Adarsh and Tankovich, Vladimir and Schoenberg, Michael and Izadi, Shahram and Funkhouser, Thomas and Fanello, Sean
- [pdf]
[bibtex]@InProceedings{Zhang_2018_ECCV,
author = {Zhang, Yinda and Khamis, Sameh and Rhemann, Christoph and Valentin, Julien and Kowdle, Adarsh and Tankovich, Vladimir and Schoenberg, Michael and Izadi, Shahram and Funkhouser, Thomas and Fanello, Sean},
title = {ActiveStereoNet: End-to-End Self-Supervised Learning for Active Stereo Systems},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Weakly- and Semi-Supervised Panoptic Segmentation- Li, Qizhu and Arnab, Anurag and Torr, Philip H.S.
- [pdf]
[bibtex]@InProceedings{Li_2018_ECCV,
author = {Li, Qizhu and Arnab, Anurag and Torr, Philip H.S.},
title = {Weakly- and Semi-Supervised Panoptic Segmentation},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Selfie Video Stabilization- Yu, Jiyang and Ramamoorthi, Ravi
- [pdf]
[bibtex]@InProceedings{Yu_2018_ECCV,
author = {Yu, Jiyang and Ramamoorthi, Ravi},
title = {Selfie Video Stabilization},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Double JPEG Detection in Mixed JPEG Quality Factors using Deep Convolutional Neural Network- Park, Jinseok and Cho, Donghyeon and Ahn, Wonhyuk and Lee, Heung-Kyu
- [pdf]
[bibtex]@InProceedings{Park_2018_ECCV,
author = {Park, Jinseok and Cho, Donghyeon and Ahn, Wonhyuk and Lee, Heung-Kyu},
title = {Double JPEG Detection in Mixed JPEG Quality Factors using Deep Convolutional Neural Network},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Incremental Multi-graph Matching via Diversity and Randomness based Graph Clustering- Yu, Tianshu and Yan, Junchi and Liu, Wei and Li, Baoxin
- [pdf]
[bibtex]@InProceedings{Yu_2018_ECCV,
author = {Yu, Tianshu and Yan, Junchi and Liu, Wei and Li, Baoxin},
title = {Incremental Multi-graph Matching via Diversity and Randomness based Graph Clustering},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
DeepTAM: Deep Tracking and Mapping- Zhou, Huizhong and Ummenhofer, Benjamin and Brox, Thomas
- [pdf]
[bibtex]@InProceedings{Zhou_2018_ECCV,
author = {Zhou, Huizhong and Ummenhofer, Benjamin and Brox, Thomas},
title = {DeepTAM: Deep Tracking and Mapping},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
R2P2: A ReparameteRized Pushforward Policy for Diverse, Precise Generative Path Forecasting- Rhinehart, Nicholas and Kitani, Kris M. and Vernaza, Paul
- [pdf]
[bibtex]@InProceedings{Rhinehart_2018_ECCV,
author = {Rhinehart, Nicholas and Kitani, Kris M. and Vernaza, Paul},
title = {R2P2: A ReparameteRized Pushforward Policy for Diverse, Precise Generative Path Forecasting},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
SpiderCNN: Deep Learning on Point Sets with Parameterized Convolutional Filters- Xu, Yifan and Fan, Tianqi and Xu, Mingye and Zeng, Long and Qiao, Yu
- [pdf]
[bibtex]@InProceedings{Xu_2018_ECCV,
author = {Xu, Yifan and Fan, Tianqi and Xu, Mingye and Zeng, Long and Qiao, Yu},
title = {SpiderCNN: Deep Learning on Point Sets with Parameterized Convolutional Filters},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
CurriculumNet: Weakly Supervised Learning from Large-Scale Web Images- Guo, Sheng and Huang, Weilin and Zhang, Haozhi and Zhuang, Chenfan and Dong, Dengke and Scott, Matthew R. and Huang, Dinglong
- [pdf]
[bibtex]@InProceedings{Guo_2018_ECCV,
author = {Guo, Sheng and Huang, Weilin and Zhang, Haozhi and Zhuang, Chenfan and Dong, Dengke and Scott, Matthew R. and Huang, Dinglong},
title = {CurriculumNet: Weakly Supervised Learning from Large-Scale Web Images},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Occlusions, Motion and Depth Boundaries with a Generic Network for Disparity, Optical Flow or Scene Flow Estimation- Ilg, Eddy and Saikia, Tonmoy and Keuper, Margret and Brox, Thomas
- [pdf]
[bibtex]@InProceedings{Ilg_2018_ECCV,
author = {Ilg, Eddy and Saikia, Tonmoy and Keuper, Margret and Brox, Thomas},
title = {Occlusions, Motion and Depth Boundaries with a Generic Network for Disparity, Optical Flow or Scene Flow Estimation},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Quantization Mimic: Towards Very Tiny CNN for Object Detection- Wei, Yi and Pan, Xinyu and Qin, Hongwei and Ouyang, Wanli and Yan, Junjie
- [pdf]
[bibtex]@InProceedings{Wei_2018_ECCV,
author = {Wei, Yi and Pan, Xinyu and Qin, Hongwei and Ouyang, Wanli and Yan, Junjie},
title = {Quantization Mimic: Towards Very Tiny CNN for Object Detection},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Learning Rigidity in Dynamic Scenes with a Moving Camera for 3D Motion Field Estimation- Lv, Zhaoyang and Kim, Kihwan and Troccoli, Alejandro and Sun, Deqing and Rehg, James M. and Kautz, Jan
- [pdf]
[bibtex]@InProceedings{Lv_2018_ECCV,
author = {Lv, Zhaoyang and Kim, Kihwan and Troccoli, Alejandro and Sun, Deqing and Rehg, James M. and Kautz, Jan},
title = {Learning Rigidity in Dynamic Scenes with a Moving Camera for 3D Motion Field Estimation},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Proximal Dehaze-Net: A Prior Learning-Based Deep Network for Single Image Dehazing- Yang, Dong and Sun, Jian
- [pdf]
[bibtex]@InProceedings{Yang_2018_ECCV,
author = {Yang, Dong and Sun, Jian},
title = {Proximal Dehaze-Net: A Prior Learning-Based Deep Network for Single Image Dehazing},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Textual Explanations for Self-Driving Vehicles- Kim, Jinkyu and Rohrbach, Anna and Darrell, Trevor and Canny, John and Akata, Zeynep
- [pdf]
[bibtex]@InProceedings{Kim_2018_ECCV,
author = {Kim, Jinkyu and Rohrbach, Anna and Darrell, Trevor and Canny, John and Akata, Zeynep},
title = {Textual Explanations for Self-Driving Vehicles},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Focus, Segment and Erase: An Efficient Network for Multi-Label Brain Tumor Segmentation- Chen, Xuan and Hao Liew, Jun and Xiong, Wei and Chui, Chee-Kong and Ong, Sim-Heng
- [pdf]
[bibtex]@InProceedings{Chen_2018_ECCV,
author = {Chen, Xuan and Hao Liew, Jun and Xiong, Wei and Chui, Chee-Kong and Ong, Sim-Heng},
title = {Focus, Segment and Erase: An Efficient Network for Multi-Label Brain Tumor Segmentation},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Local Orthogonal-Group Testing- Iscen, Ahmet and Chum, Ondrej
- [pdf]
[bibtex]@InProceedings{Iscen_2018_ECCV,
author = {Iscen, Ahmet and Chum, Ondrej},
title = {Local Orthogonal-Group Testing},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Connecting Gaze, Scene, and Attention: Generalized Attention Estimation via Joint Modeling of Gaze and Scene Saliency- Chong, Eunji and Ruiz, Nataniel and Wang, Yongxin and Zhang, Yun and Rozga, Agata and Rehg, James M.
- [pdf]
[bibtex]@InProceedings{Chong_2018_ECCV,
author = {Chong, Eunji and Ruiz, Nataniel and Wang, Yongxin and Zhang, Yun and Rozga, Agata and Rehg, James M.},
title = {Connecting Gaze, Scene, and Attention: Generalized Attention Estimation via Joint Modeling of Gaze and Scene Saliency},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Show, Tell and Discriminate: Image Captioning by Self-retrieval with Partially Labeled Data- Liu, Xihui and Li, Hongsheng and Shao, Jing and Chen, Dapeng and Wang, Xiaogang
- [pdf]
[bibtex]@InProceedings{Liu_2018_ECCV,
author = {Liu, Xihui and Li, Hongsheng and Shao, Jing and Chen, Dapeng and Wang, Xiaogang},
title = {Show, Tell and Discriminate: Image Captioning by Self-retrieval with Partially Labeled Data},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
VideoMatch: Matching based Video Object Segmentation- Hu, Yuan-Ting and Huang, Jia-Bin and Schwing, Alexander G.
- [pdf]
[bibtex]@InProceedings{Hu_2018_ECCV,
author = {Hu, Yuan-Ting and Huang, Jia-Bin and Schwing, Alexander G.},
title = {VideoMatch: Matching based Video Object Segmentation},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Unsupervised Video Object Segmentation with Motion-based Bilateral Networks- Li, Siyang and Seybold, Bryan and Vorobyov, Alexey and Lei, Xuejing and Jay Kuo, C.-C.
- [pdf]
[bibtex]@InProceedings{Li_2018_ECCV,
author = {Li, Siyang and Seybold, Bryan and Vorobyov, Alexey and Lei, Xuejing and Jay Kuo, C.-C.},
title = {Unsupervised Video Object Segmentation with Motion-based Bilateral Networks},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
3D Vehicle Trajectory Reconstruction in Monocular Video Data Using Environment Structure Constraints- Bullinger, Sebastian and Bodensteiner, Christoph and Arens, Michael and Stiefelhagen, Rainer
- [pdf]
[bibtex]@InProceedings{Bullinger_2018_ECCV,
author = {Bullinger, Sebastian and Bodensteiner, Christoph and Arens, Michael and Stiefelhagen, Rainer},
title = {3D Vehicle Trajectory Reconstruction in Monocular Video Data Using Environment Structure Constraints},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Shuffle-Then-Assemble: Learning Object-Agnostic Visual Relationship Features- Yang, Xu and Zhang, Hanwang and Cai, Jianfei
- [pdf]
[bibtex]@InProceedings{Yang_2018_ECCV,
author = {Yang, Xu and Zhang, Hanwang and Cai, Jianfei},
title = {Shuffle-Then-Assemble: Learning Object-Agnostic Visual Relationship Features},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Revisiting the Inverted Indices for Billion-Scale Approximate Nearest Neighbors- Baranchuk, Dmitry and Babenko, Artem and Malkov, Yury
- [pdf]
[bibtex]@InProceedings{Baranchuk_2018_ECCV,
author = {Baranchuk, Dmitry and Babenko, Artem and Malkov, Yury},
title = {Revisiting the Inverted Indices for Billion-Scale Approximate Nearest Neighbors},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Eliminating the Blind Spot: Adapting 3D Object Detection and Monocular Depth Estimation to 360° Panoramic Imagery- Payen de La Garanderie, Greire and Atapour Abarghouei, Amir and Breckon, Toby P.
- [pdf]
[bibtex]@InProceedings{Garanderie_2018_ECCV,
author = {Payen de La Garanderie, Greire and Atapour Abarghouei, Amir and Breckon, Toby P.},
title = {Eliminating the Blind Spot: Adapting 3D Object Detection and Monocular Depth Estimation to 360° Panoramic Imagery},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Towards Realistic Predictors- Wang, Pei and Vasconcelos, Nuno
- [pdf]
[bibtex]@InProceedings{Wang_2018_ECCV,
author = {Wang, Pei and Vasconcelos, Nuno},
title = {Towards Realistic Predictors},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Learning Deep Representations with Probabilistic Knowledge Transfer- Passalis, Nikolaos and Tefas, Anastasios
- [pdf]
[bibtex]@InProceedings{Passalis_2018_ECCV,
author = {Passalis, Nikolaos and Tefas, Anastasios},
title = {Learning Deep Representations with Probabilistic Knowledge Transfer},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
DFT-based Transformation Invariant Pooling Layer for Visual Classification- Ryu, Jongbin and Yang, Ming-Hsuan and Lim, Jongwoo
- [pdf]
[bibtex]@InProceedings{Ryu_2018_ECCV,
author = {Ryu, Jongbin and Yang, Ming-Hsuan and Lim, Jongwoo},
title = {DFT-based Transformation Invariant Pooling Layer for Visual Classification},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Objects that Sound- Arandjelovic, Relja and Zisserman, Andrew
- [pdf]
[bibtex]@InProceedings{Arandjelovic_2018_ECCV,
author = {Arandjelovic, Relja and Zisserman, Andrew},
title = {Objects that Sound},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
End-to-End Incremental Learning- Castro, Francisco M. and Marin-Jimenez, Manuel J. and Guil, Nicolas and Schmid, Cordelia and Alahari, Karteek
- [pdf]
[bibtex]@InProceedings{Castro_2018_ECCV,
author = {Castro, Francisco M. and Marin-Jimenez, Manuel J. and Guil, Nicolas and Schmid, Cordelia and Alahari, Karteek},
title = {End-to-End Incremental Learning},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
SaaS: Speed as a Supervisor for Semi-supervised Learning- Cicek, Safa and Fawzi, Alhussein and Soatto, Stefano
- [pdf]
[bibtex]@InProceedings{Cicek_2018_ECCV,
author = {Cicek, Safa and Fawzi, Alhussein and Soatto, Stefano},
title = {SaaS: Speed as a Supervisor for Semi-supervised Learning},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Deep Video Quality Assessor: From Spatio-temporal Visual Sensitivity to A Convolutional Neural Aggregation Network- Kim, Woojae and Kim, Jongyoo and Ahn, Sewoong and Kim, Jinwoo and Lee, Sanghoon
- [pdf]
[bibtex]@InProceedings{Kim_2018_ECCV,
author = {Kim, Woojae and Kim, Jongyoo and Ahn, Sewoong and Kim, Jinwoo and Lee, Sanghoon},
title = {Deep Video Quality Assessor: From Spatio-temporal Visual Sensitivity to A Convolutional Neural Aggregation Network},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Straight to the Facts: Learning Knowledge Base Retrieval for Factual Visual Question Answering- Narasimhan, Medhini and Schwing, Alexander G.
- [pdf]
[bibtex]@InProceedings{Narasimhan_2018_ECCV,
author = {Narasimhan, Medhini and Schwing, Alexander G.},
title = {Straight to the Facts: Learning Knowledge Base Retrieval for Factual Visual Question Answering},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Deep Volumetric Video From Very Sparse Multi-View Performance Capture- Huang, Zeng and Li, Tianye and Chen, Weikai and Zhao, Yajie and Xing, Jun and LeGendre, Chloe and Luo, Linjie and Ma, Chongyang and Li, Hao
- [pdf]
[bibtex]@InProceedings{Huang_2018_ECCV,
author = {Huang, Zeng and Li, Tianye and Chen, Weikai and Zhao, Yajie and Xing, Jun and LeGendre, Chloe and Luo, Linjie and Ma, Chongyang and Li, Hao},
title = {Deep Volumetric Video From Very Sparse Multi-View Performance Capture},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Neural Procedural Reconstruction for Residential Buildings- Zeng, Huayi and Wu, Jiaye and Furukawa, Yasutaka
- [pdf]
[bibtex]@InProceedings{Zeng_2018_ECCV,
author = {Zeng, Huayi and Wu, Jiaye and Furukawa, Yasutaka},
title = {Neural Procedural Reconstruction for Residential Buildings},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Deformable Pose Traversal Convolution for 3D Action and Gesture Recognition- Weng, Junwu and Liu, Mengyuan and Jiang, Xudong and Yuan, Junsong
- [pdf]
[bibtex]@InProceedings{Weng_2018_ECCV,
author = {Weng, Junwu and Liu, Mengyuan and Jiang, Xudong and Yuan, Junsong},
title = {Deformable Pose Traversal Convolution for 3D Action and Gesture Recognition},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
A Trilateral Weighted Sparse Coding Scheme for Real-World Image Denoising- Xu, Jun and Zhang, Lei and Zhang, David
- [pdf]
[bibtex]@InProceedings{Xu_2018_ECCV,
author = {Xu, Jun and Zhang, Lei and Zhang, David},
title = {A Trilateral Weighted Sparse Coding Scheme for Real-World Image Denoising},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Orthogonal Deep Features Decomposition for Age-Invariant Face Recognition- Wang, Yitong and Gong, Dihong and Zhou, Zheng and Ji, Xing and Wang, Hao and Li, Zhifeng and Liu, Wei and Zhang, Tong
- [pdf]
[bibtex]@InProceedings{Wang_2018_ECCV,
author = {Wang, Yitong and Gong, Dihong and Zhou, Zheng and Ji, Xing and Wang, Hao and Li, Zhifeng and Liu, Wei and Zhang, Tong},
title = {Orthogonal Deep Features Decomposition for Age-Invariant Face Recognition},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Pyramid Dilated Deeper ConvLSTM for Video Salient Object Detection- Song, Hongmei and Wang, Wenguan and Zhao, Sanyuan and Shen, Jianbing and Lam, Kin-Man
- [pdf]
[bibtex]@InProceedings{Song_2018_ECCV,
author = {Song, Hongmei and Wang, Wenguan and Zhao, Sanyuan and Shen, Jianbing and Lam, Kin-Man},
title = {Pyramid Dilated Deeper ConvLSTM for Video Salient Object Detection},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Deep Burst Denoising- Godard, Clement and Matzen, Kevin and Uyttendaele, Matt
- [pdf]
[bibtex]@InProceedings{Godard_2018_ECCV,
author = {Godard, Clement and Matzen, Kevin and Uyttendaele, Matt},
title = {Deep Burst Denoising},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Learning to Separate Object Sounds by Watching Unlabeled Video- Gao, Ruohan and Feris, Rogerio and Grauman, Kristen
- [pdf]
[bibtex]@InProceedings{Gao_2018_ECCV,
author = {Gao, Ruohan and Feris, Rogerio and Grauman, Kristen},
title = {Learning to Separate Object Sounds by Watching Unlabeled Video},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Learnable PINs: Cross-Modal Embeddings for Person Identity- Nagrani, Arsha and Albanie, Samuel and Zisserman, Andrew
- [pdf]
[bibtex]@InProceedings{Nagrani_2018_ECCV,
author = {Nagrani, Arsha and Albanie, Samuel and Zisserman, Andrew},
title = {Learnable PINs: Cross-Modal Embeddings for Person Identity},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Multi-object Tracking with Neural Gating Using Bilinear LSTM- Kim, Chanho and Li, Fuxin and Rehg, James M.
- [pdf]
[bibtex]@InProceedings{Kim_2018_ECCV,
author = {Kim, Chanho and Li, Fuxin and Rehg, James M.},
title = {Multi-object Tracking with Neural Gating Using Bilinear LSTM},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Recovering Accurate 3D Human Pose in The Wild Using IMUs and a Moving Camera- von Marcard, Timo and Henschel, Roberto and Black, Michael J. and Rosenhahn, Bodo and Pons-Moll, Gerard
- [pdf]
[bibtex]@InProceedings{Marcard_2018_ECCV,
author = {von Marcard, Timo and Henschel, Roberto and Black, Michael J. and Rosenhahn, Bodo and Pons-Moll, Gerard},
title = {Recovering Accurate 3D Human Pose in The Wild Using IMUs and a Moving Camera},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Model Adaptation with Synthetic and Real Data for Semantic Dense Foggy Scene Understanding- Sakaridis, Christos and Dai, Dengxin and Hecker, Simon and Van Gool, Luc
- [pdf]
[bibtex]@InProceedings{Sakaridis_2018_ECCV,
author = {Sakaridis, Christos and Dai, Dengxin and Hecker, Simon and Van Gool, Luc},
title = {Model Adaptation with Synthetic and Real Data for Semantic Dense Foggy Scene Understanding},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
NetAdapt: Platform-Aware Neural Network Adaptation for Mobile Applications- Yang, Tien-Ju and Howard, Andrew and Chen, Bo and Zhang, Xiao and Go, Alec and Sandler, Mark and Sze, Vivienne and Adam, Hartwig
- [pdf]
[bibtex]@InProceedings{Yang_2018_ECCV,
author = {Yang, Tien-Ju and Howard, Andrew and Chen, Bo and Zhang, Xiao and Go, Alec and Sandler, Mark and Sze, Vivienne and Adam, Hartwig},
title = {NetAdapt: Platform-Aware Neural Network Adaptation for Mobile Applications},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
MT-VAE: Learning Motion Transformations to Generate Multimodal Human Dynamics- Yan, Xinchen and Rastogi, Akash and Villegas, Ruben and Sunkavalli, Kalyan and Shechtman, Eli and Hadap, Sunil and Yumer, Ersin and Lee, Honglak
- [pdf]
[bibtex]@InProceedings{Yan_2018_ECCV,
author = {Yan, Xinchen and Rastogi, Akash and Villegas, Ruben and Sunkavalli, Kalyan and Shechtman, Eli and Hadap, Sunil and Yumer, Ersin and Lee, Honglak},
title = {MT-VAE: Learning Motion Transformations to Generate Multimodal Human Dynamics},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Affine Correspondences between Central Cameras for Rapid Relative Pose Estimation- Eichhardt, Ivan and Chetverikov, Dmitry
- [pdf]
[bibtex]@InProceedings{Eichhardt_2018_ECCV,
author = {Eichhardt, Ivan and Chetverikov, Dmitry},
title = {Affine Correspondences between Central Cameras for Rapid Relative Pose Estimation},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Lifting Layers: Analysis and Applications- Ochs, Peter and Meinhardt, Tim and Leal-Taixe, Laura and Moeller, Michael
- [pdf]
[bibtex]@InProceedings{Ochs_2018_ECCV,
author = {Ochs, Peter and Meinhardt, Tim and Leal-Taixe, Laura and Moeller, Michael},
title = {Lifting Layers: Analysis and Applications},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Remote Photoplethysmography Correspondence Feature for 3D Mask Face Presentation Attack Detection- Liu, Si-Qi and Lan, Xiangyuan and Yuen, Pong C.
- [pdf]
[bibtex]@InProceedings{Liu_2018_ECCV,
author = {Liu, Si-Qi and Lan, Xiangyuan and Yuen, Pong C.},
title = {Remote Photoplethysmography Correspondence Feature for 3D Mask Face Presentation Attack Detection},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Beyond Part Models: Person Retrieval with Refined Part Pooling (and A Strong Convolutional Baseline)- Sun, Yifan and Zheng, Liang and Yang, Yi and Tian, Qi and Wang, Shengjin
- [pdf]
[bibtex]@InProceedings{Sun_2018_ECCV,
author = {Sun, Yifan and Zheng, Liang and Yang, Yi and Tian, Qi and Wang, Shengjin},
title = {Beyond Part Models: Person Retrieval with Refined Part Pooling (and A Strong Convolutional Baseline)},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Generative Adversarial Network with Spatial Attention for Face Attribute Editing- Zhang, Gang and Kan, Meina and Shan, Shiguang and Chen, Xilin
- [pdf]
[bibtex]@InProceedings{Zhang_2018_ECCV,
author = {Zhang, Gang and Kan, Meina and Shan, Shiguang and Chen, Xilin},
title = {Generative Adversarial Network with Spatial Attention for Face Attribute Editing},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Pairwise Body-Part Attention for Recognizing Human-Object Interactions- Fang, Hao-Shu and Cao, Jinkun and Tai, Yu-Wing and Lu, Cewu
- [pdf]
[bibtex]@InProceedings{Fang_2018_ECCV,
author = {Fang, Hao-Shu and Cao, Jinkun and Tai, Yu-Wing and Lu, Cewu},
title = {Pairwise Body-Part Attention for Recognizing Human-Object Interactions},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Person Search via A Mask-guided Two-stream CNN Model- Chen, Di and Zhang, Shanshan and Ouyang, Wanli and Yang, Jian and Tai, Ying
- [pdf]
[bibtex]@InProceedings{Chen_2018_ECCV,
author = {Chen, Di and Zhang, Shanshan and Ouyang, Wanli and Yang, Jian and Tai, Ying},
title = {Person Search via A Mask-guided Two-stream CNN Model},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Saliency Benchmarking Made Easy: Separating Models, Maps and Metrics- Kummerer, Matthias and Wallis, Thomas S. A. and Bethge, Matthias
- [pdf]
[bibtex]@InProceedings{Kummerer_2018_ECCV,
author = {Kummerer, Matthias and Wallis, Thomas S. A. and Bethge, Matthias},
title = {Saliency Benchmarking Made Easy: Separating Models, Maps and Metrics},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Sub-GAN: An Unsupervised Generative Model via Subspaces- Liang, Jie and Yang, Jufeng and Lee, Hsin-Ying and Wang, Kai and Yang, Ming-Hsuan
- [pdf]
[bibtex]@InProceedings{Liang_2018_ECCV,
author = {Liang, Jie and Yang, Jufeng and Lee, Hsin-Ying and Wang, Kai and Yang, Ming-Hsuan},
title = {Sub-GAN: An Unsupervised Generative Model via Subspaces},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Improving Spatiotemporal Self-Supervision by Deep Reinforcement Learning- Buchler, Uta and Brattoli, Biagio and Ommer, Bjorn
- [pdf]
[bibtex]@InProceedings{Buchler_2018_ECCV,
author = {Buchler, Uta and Brattoli, Biagio and Ommer, Bjorn},
title = {Improving Spatiotemporal Self-Supervision by Deep Reinforcement Learning},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
The Unmanned Aerial Vehicle Benchmark: Object Detection and Tracking- Du, Dawei and Qi, Yuankai and Yu, Hongyang and Yang, Yifan and Duan, Kaiwen and Li, Guorong and Zhang, Weigang and Huang, Qingming and Tian, Qi
- [pdf]
[bibtex]@InProceedings{Du_2018_ECCV,
author = {Du, Dawei and Qi, Yuankai and Yu, Hongyang and Yang, Yifan and Duan, Kaiwen and Li, Guorong and Zhang, Weigang and Huang, Qingming and Tian, Qi},
title = {The Unmanned Aerial Vehicle Benchmark: Object Detection and Tracking},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Beyond local reasoning for stereo confidence estimation with deep learning- Tosi, Fabio and Poggi, Matteo and Benincasa, Antonio and Mattoccia, Stefano
- [pdf]
[bibtex]@InProceedings{Tosi_2018_ECCV,
author = {Tosi, Fabio and Poggi, Matteo and Benincasa, Antonio and Mattoccia, Stefano},
title = {Beyond local reasoning for stereo confidence estimation with deep learning},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
ConvNets and ImageNet Beyond Accuracy: Understanding Mistakes and Uncovering Biases- Stock, Pierre and Cisse, Moustapha
- [pdf]
[bibtex]@InProceedings{Stock_2018_ECCV,
author = {Stock, Pierre and Cisse, Moustapha},
title = {ConvNets and ImageNet Beyond Accuracy: Understanding Mistakes and Uncovering Biases},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Making Deep Heatmaps Robust to Partial Occlusions for 3D Object Pose Estimation- Oberweger, Markus and Rad, Mahdi and Lepetit, Vincent
- [pdf]
[bibtex]@InProceedings{Oberweger_2018_ECCV,
author = {Oberweger, Markus and Rad, Mahdi and Lepetit, Vincent},
title = {Making Deep Heatmaps Robust to Partial Occlusions for 3D Object Pose Estimation},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
CBAM: Convolutional Block Attention Module- Woo, Sanghyun and Park, Jongchan and Lee, Joon-Young and So Kweon, In
- [pdf]
[bibtex]@InProceedings{Woo_2018_ECCV,
author = {Woo, Sanghyun and Park, Jongchan and Lee, Joon-Young and So Kweon, In},
title = {CBAM: Convolutional Block Attention Module},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Spatio-temporal Transformer Network for Video Restoration- Hyun Kim, Tae and Sajjadi, Mehdi S. M. and Hirsch, Michael and Scholkopf, Bernhard
- [pdf]
[bibtex]@InProceedings{Kim_2018_ECCV,
author = {Hyun Kim, Tae and Sajjadi, Mehdi S. M. and Hirsch, Michael and Scholkopf, Bernhard},
title = {Spatio-temporal Transformer Network for Video Restoration},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
stagNet: An Attentive Semantic RNN for Group Activity Recognition- Qi, Mengshi and Qin, Jie and Li, Annan and Wang, Yunhong and Luo, Jiebo and Van Gool, Luc
- [pdf]
[bibtex]@InProceedings{Qi_2018_ECCV,
author = {Qi, Mengshi and Qin, Jie and Li, Annan and Wang, Yunhong and Luo, Jiebo and Van Gool, Luc},
title = {stagNet: An Attentive Semantic RNN for Group Activity Recognition},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Learning Discriminative Video Representations Using Adversarial Perturbations- Wang, Jue and Cherian, Anoop
- [pdf]
[bibtex]@InProceedings{Wang_2018_ECCV,
author = {Wang, Jue and Cherian, Anoop},
title = {Learning Discriminative Video Representations Using Adversarial Perturbations},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
On Offline Evaluation of Vision-based Driving Models- Codevilla, Felipe and Lopez, Antonio M. and Koltun, Vladlen and Dosovitskiy, Alexey
- [pdf]
[bibtex]@InProceedings{Codevilla_2018_ECCV,
author = {Codevilla, Felipe and Lopez, Antonio M. and Koltun, Vladlen and Dosovitskiy, Alexey},
title = {On Offline Evaluation of Vision-based Driving Models},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Real-to-Virtual Domain Unification for End-to-End Autonomous Driving- Yang, Luona and Liang, Xiaodan and Wang, Tairui and Xing, Eric
- [pdf]
[bibtex]@InProceedings{Yang_2018_ECCV,
author = {Yang, Luona and Liang, Xiaodan and Wang, Tairui and Xing, Eric},
title = {Real-to-Virtual Domain Unification for End-to-End Autonomous Driving},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
How Local is the Local Diversity? Reinforcing Sequential Determinantal Point Processes with Dynamic Ground Sets for Supervised Video Summarization- Li, Yandong and Wang, Liqiang and Yang, Tianbao and Gong, Boqing
- [pdf]
[bibtex]@InProceedings{Li_2018_ECCV,
author = {Li, Yandong and Wang, Liqiang and Yang, Tianbao and Gong, Boqing},
title = {How Local is the Local Diversity? Reinforcing Sequential Determinantal Point Processes with Dynamic Ground Sets for Supervised Video Summarization},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Piggyback: Adapting a Single Network to Multiple Tasks by Learning to Mask Weights- Mallya, Arun and Davis, Dillon and Lazebnik, Svetlana
- [pdf]
[bibtex]@InProceedings{Mallya_2018_ECCV,
author = {Mallya, Arun and Davis, Dillon and Lazebnik, Svetlana},
title = {Piggyback: Adapting a Single Network to Multiple Tasks by Learning to Mask Weights},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
PSANet: Point-wise Spatial Attention Network for Scene Parsing- Zhao, Hengshuang and Zhang, Yi and Liu, Shu and Shi, Jianping and Change Loy, Chen and Lin, Dahua and Jia, Jiaya
- [pdf]
[bibtex]@InProceedings{Zhao_2018_ECCV,
author = {Zhao, Hengshuang and Zhang, Yi and Liu, Shu and Shi, Jianping and Change Loy, Chen and Lin, Dahua and Jia, Jiaya},
title = {PSANet: Point-wise Spatial Attention Network for Scene Parsing},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
X-ray Computed Tomography Through Scatter- Geva, Adam and Schechner, Yoav Y. and Chernyak, Yonatan and Gupta, Rajiv
- [pdf]
[bibtex]@InProceedings{Geva_2018_ECCV,
author = {Geva, Adam and Schechner, Yoav Y. and Chernyak, Yonatan and Gupta, Rajiv},
title = {X-ray Computed Tomography Through Scatter},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Image Generation from Sketch Constraint Using Contextual GAN- Lu, Yongyi and Wu, Shangzhe and Tai, Yu-Wing and Tang, Chi-Keung
- [pdf]
[bibtex]@InProceedings{Lu_2018_ECCV,
author = {Lu, Yongyi and Wu, Shangzhe and Tai, Yu-Wing and Tang, Chi-Keung},
title = {Image Generation from Sketch Constraint Using Contextual GAN},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Weakly-supervised 3D Hand Pose Estimation from Monocular RGB Images- Cai, Yujun and Ge, Liuhao and Cai, Jianfei and Yuan, Junsong
- [pdf]
[bibtex]@InProceedings{Cai_2018_ECCV,
author = {Cai, Yujun and Ge, Liuhao and Cai, Jianfei and Yuan, Junsong},
title = {Weakly-supervised 3D Hand Pose Estimation from Monocular RGB Images},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
SkipNet: Learning Dynamic Routing in Convolutional Networks- Wang, Xin and Yu, Fisher and Dou, Zi-Yi and Darrell, Trevor and Gonzalez, Joseph E.
- [pdf]
[bibtex]@InProceedings{Wang_2018_ECCV,
author = {Wang, Xin and Yu, Fisher and Dou, Zi-Yi and Darrell, Trevor and Gonzalez, Joseph E.},
title = {SkipNet: Learning Dynamic Routing in Convolutional Networks},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Point-to-Point Regression PointNet for 3D Hand Pose Estimation- Ge, Liuhao and Ren, Zhou and Yuan, Junsong
- [pdf]
[bibtex]@InProceedings{Ge_2018_ECCV,
author = {Ge, Liuhao and Ren, Zhou and Yuan, Junsong},
title = {Point-to-Point Regression PointNet for 3D Hand Pose Estimation},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Deeply Learned Compositional Models for Human Pose Estimation- Tang, Wei and Yu, Pei and Wu, Ying
- [pdf]
[bibtex]@InProceedings{Tang_2018_ECCV,
author = {Tang, Wei and Yu, Pei and Wu, Ying},
title = {Deeply Learned Compositional Models for Human Pose Estimation},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Compound Memory Networks for Few-shot Video Classification- Zhu, Linchao and Yang, Yi
- [pdf]
[bibtex]@InProceedings{Zhu_2018_ECCV,
author = {Zhu, Linchao and Yang, Yi},
title = {Compound Memory Networks for Few-shot Video Classification},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
3D Recurrent Neural Networks with Context Fusion for Point Cloud Semantic Segmentation- Ye, Xiaoqing and Li, Jiamao and Huang, Hexiao and Du, Liang and Zhang, Xiaolin
- [pdf]
[bibtex]@InProceedings{Ye_2018_ECCV,
author = {Ye, Xiaoqing and Li, Jiamao and Huang, Hexiao and Du, Liang and Zhang, Xiaolin},
title = {3D Recurrent Neural Networks with Context Fusion for Point Cloud Semantic Segmentation},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Unsupervised Person Re-identification by Deep Learning Tracklet Association- Li, Minxian and Zhu, Xiatian and Gong, Shaogang
- [pdf]
[bibtex]@InProceedings{Li_2018_ECCV,
author = {Li, Minxian and Zhu, Xiatian and Gong, Shaogang},
title = {Unsupervised Person Re-identification by Deep Learning Tracklet Association},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Deep Boosting for Image Denoising- Chen, Chang and Xiong, Zhiwei and Tian, Xinmei and Wu, Feng
- [pdf]
[bibtex]@InProceedings{Chen_2018_ECCV,
author = {Chen, Chang and Xiong, Zhiwei and Tian, Xinmei and Wu, Feng},
title = {Deep Boosting for Image Denoising},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
The Contextual Loss for Image Transformation with Non-Aligned Data- Mechrez, Roey and Talmi, Itamar and Zelnik-Manor, Lihi
- [pdf]
[bibtex]@InProceedings{Mechrez_2018_ECCV,
author = {Mechrez, Roey and Talmi, Itamar and Zelnik-Manor, Lihi},
title = {The Contextual Loss for Image Transformation with Non-Aligned Data},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Actor-centric Relation Network- Sun, Chen and Shrivastava, Abhinav and Vondrick, Carl and Murphy, Kevin and Sukthankar, Rahul and Schmid, Cordelia
- [pdf]
[bibtex]@InProceedings{Sun_2018_ECCV,
author = {Sun, Chen and Shrivastava, Abhinav and Vondrick, Carl and Murphy, Kevin and Sukthankar, Rahul and Schmid, Cordelia},
title = {Actor-centric Relation Network },
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Fully-Convolutional Point Networks for Large-Scale Point Clouds- Rethage, Dario and Wald, Johanna and Sturm, Jurgen and Navab, Nassir and Tombari, Federico
- [pdf]
[bibtex]@InProceedings{Rethage_2018_ECCV,
author = {Rethage, Dario and Wald, Johanna and Sturm, Jurgen and Navab, Nassir and Tombari, Federico},
title = {Fully-Convolutional Point Networks for Large-Scale Point Clouds},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Joint optimization for compressive video sensing and reconstruction under hardware constraints- Yoshida, Michitaka and Torii, Akihiko and Okutomi, Masatoshi and Endo, Kenta and Sugiyama, Yukinobu and Taniguchi, Rin-ichiro and Nagahara, Hajime
- [pdf]
[bibtex]@InProceedings{Yoshida_2018_ECCV,
author = {Yoshida, Michitaka and Torii, Akihiko and Okutomi, Masatoshi and Endo, Kenta and Sugiyama, Yukinobu and Taniguchi, Rin-ichiro and Nagahara, Hajime},
title = {Joint optimization for compressive video sensing and reconstruction under hardware constraints},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Improved Structure from Motion Using Fiducial Marker Matching- DeGol, Joseph and Bretl, Timothy and Hoiem, Derek
- [pdf]
[bibtex]@InProceedings{DeGol_2018_ECCV,
author = {DeGol, Joseph and Bretl, Timothy and Hoiem, Derek},
title = {Improved Structure from Motion Using Fiducial Marker Matching},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Deep Autoencoder for Combined Human Pose Estimation and Body Model Upscaling- Trumble, Matthew and Gilbert, Andrew and Hilton, Adrian and Collomosse, John
- [pdf]
[bibtex]@InProceedings{Trumble_2018_ECCV,
author = {Trumble, Matthew and Gilbert, Andrew and Hilton, Adrian and Collomosse, John},
title = {Deep Autoencoder for Combined Human Pose Estimation and Body Model Upscaling},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Integral Human Pose Regression- Sun, Xiao and Xiao, Bin and Wei, Fangyin and Liang, Shuang and Wei, Yichen
- [pdf]
[bibtex]@InProceedings{Sun_2018_ECCV,
author = {Sun, Xiao and Xiao, Bin and Wei, Fangyin and Liang, Shuang and Wei, Yichen},
title = {Integral Human Pose Regression},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Convolutional Networks with Adaptive Inference Graphs- Veit, Andreas and Belongie, Serge
- [pdf]
[bibtex]@InProceedings{Veit_2018_ECCV,
author = {Veit, Andreas and Belongie, Serge},
title = {Convolutional Networks with Adaptive Inference Graphs},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
A Dataset and Architecture for Visual Reasoning with a Working Memory- Robert Yang, Guangyu and Ganichev, Igor and Wang, Xiao-Jing and Shlens, Jonathon and Sussillo, David
- [pdf]
[bibtex]@InProceedings{Yang_2018_ECCV,
author = {Robert Yang, Guangyu and Ganichev, Igor and Wang, Xiao-Jing and Shlens, Jonathon and Sussillo, David},
title = {A Dataset and Architecture for Visual Reasoning with a Working Memory},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Video Compression through Image Interpolation- Wu, Chao-Yuan and Singhal, Nayan and Krahenbuhl, Philipp
- [pdf]
[bibtex]@InProceedings{Wu_2018_ECCV,
author = {Wu, Chao-Yuan and Singhal, Nayan and Krahenbuhl, Philipp},
title = {Video Compression through Image Interpolation},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Composition Loss for Counting, Density Map Estimation and Localization in Dense Crowds- Idrees, Haroon and Tayyab, Muhmmad and Athrey, Kishan and Zhang, Dong and Al-Maadeed, Somaya and Rajpoot, Nasir and Shah, Mubarak
- [pdf]
[bibtex]@InProceedings{Idrees_2018_ECCV,
author = {Idrees, Haroon and Tayyab, Muhmmad and Athrey, Kishan and Zhang, Dong and Al-Maadeed, Somaya and Rajpoot, Nasir and Shah, Mubarak},
title = {Composition Loss for Counting, Density Map Estimation and Localization in Dense Crowds},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Affinity Derivation and Graph Merge for Instance Segmentation- Liu, Yiding and Yang, Siyu and Li, Bin and Zhou, Wengang and Xu, Jizheng and Li, Houqiang and Lu, Yan
- [pdf]
[bibtex]@InProceedings{Liu_2018_ECCV,
author = {Liu, Yiding and Yang, Siyu and Li, Bin and Zhou, Wengang and Xu, Jizheng and Li, Houqiang and Lu, Yan},
title = {Affinity Derivation and Graph Merge for Instance Segmentation},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Progressive Structure from Motion- Locher, Alex and Havlena, Michal and Van Gool, Luc
- [pdf]
[bibtex]@InProceedings{Locher_2018_ECCV,
author = {Locher, Alex and Havlena, Michal and Van Gool, Luc},
title = {Progressive Structure from Motion},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
MultiPoseNet: Fast Multi-Person Pose Estimation using Pose Residual Network- Kocabas, Muhammed and Karagoz, Salih and Akbas, Emre
- [pdf]
[bibtex]@InProceedings{Kocabas_2018_ECCV,
author = {Kocabas, Muhammed and Karagoz, Salih and Akbas, Emre},
title = {MultiPoseNet: Fast Multi-Person Pose Estimation using Pose Residual Network},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Self-Calibrating Isometric Non-Rigid Structure-from-Motion- Parashar, Shaifali and Bartoli, Adrien and Pizarro, Daniel
- [pdf]
[bibtex]@InProceedings{Parashar_2018_ECCV,
author = {Parashar, Shaifali and Bartoli, Adrien and Pizarro, Daniel},
title = {Self-Calibrating Isometric Non-Rigid Structure-from-Motion},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Using Object Information for Spotting Text- Prasad, Shitala and Wai Kin Kong, Adams
- [pdf]
[bibtex]@InProceedings{Prasad_2018_ECCV,
author = {Prasad, Shitala and Wai Kin Kong, Adams},
title = {Using Object Information for Spotting Text},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Modality Distillation with Multiple Stream Networks for Action Recognition- Garcia, Nuno C. and Morerio, Pietro and Murino, Vittorio
- [pdf]
[bibtex]@InProceedings{Garcia_2018_ECCV,
author = {Garcia, Nuno C. and Morerio, Pietro and Murino, Vittorio},
title = {Modality Distillation with Multiple Stream Networks for Action Recognition},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Stereo Vision-based Semantic 3D Object and Ego-motion Tracking for Autonomous Driving- Li, Peiliang and Qin, Tong and Shen, andShaojie
- [pdf]
[bibtex]@InProceedings{Li_2018_ECCV,
author = {Li, Peiliang and Qin, Tong and Shen, andShaojie},
title = {Stereo Vision-based Semantic 3D Object and Ego-motion Tracking for Autonomous Driving},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
AutoLoc: Weakly-supervised Temporal Action Localization in Untrimmed Videos- Shou, Zheng and Gao, Hang and Zhang, Lei and Miyazawa, Kazuyuki and Chang, Shih-Fu
- [pdf]
[bibtex]@InProceedings{Shou_2018_ECCV,
author = {Shou, Zheng and Gao, Hang and Zhang, Lei and Miyazawa, Kazuyuki and Chang, Shih-Fu},
title = {AutoLoc: Weakly-supervised Temporal Action Localization in Untrimmed Videos},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Unsupervised Domain Adaptation for 3D Keypoint Estimation via View Consistency- Zhou, Xingyi and Karpur, Arjun and Gan, Chuang and Luo, Linjie and Huang, Qixing
- [pdf]
[bibtex]@InProceedings{Zhou_2018_ECCV,
author = {Zhou, Xingyi and Karpur, Arjun and Gan, Chuang and Luo, Linjie and Huang, Qixing},
title = {Unsupervised Domain Adaptation for 3D Keypoint Estimation via View Consistency},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Visual-Inertial Object Detection and Mapping- Fei, Xiaohan and Soatto, Stefano
- [pdf]
[bibtex]@InProceedings{Fei_2018_ECCV,
author = {Fei, Xiaohan and Soatto, Stefano},
title = {Visual-Inertial Object Detection and Mapping},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
FishEyeRecNet: A Multi-Context Collaborative Deep Network for Fisheye Image Rectification- Yin, Xiaoqing and Wang, Xinchao and Yu, Jun and Zhang, Maojun and Fua, Pascal and Tao, Dacheng
- [pdf]
[bibtex]@InProceedings{Yin_2018_ECCV,
author = {Yin, Xiaoqing and Wang, Xinchao and Yu, Jun and Zhang, Maojun and Fua, Pascal and Tao, Dacheng},
title = {FishEyeRecNet: A Multi-Context Collaborative Deep Network for Fisheye Image Rectification},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Semi-supervised FusedGAN for Conditional Image Generation- Bodla, Navaneeth and Hua, Gang and Chellappa, Rama
- [pdf]
[bibtex]@InProceedings{Bodla_2018_ECCV,
author = {Bodla, Navaneeth and Hua, Gang and Chellappa, Rama},
title = {Semi-supervised FusedGAN for Conditional Image Generation},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Group Normalization- Wu, Yuxin and He, Kaiming
- [pdf]
[bibtex]@InProceedings{Wu_2018_ECCV,
author = {Wu, Yuxin and He, Kaiming},
title = {Group Normalization},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Conditional Image-Text Embedding Networks- Plummer, Bryan A. and Kordas, Paige and Hadi Kiapour, M. and Zheng, Shuai and Piramuthu, Robinson and Lazebnik, Svetlana
- [pdf]
[bibtex]@InProceedings{Plummer_2018_ECCV,
author = {Plummer, Bryan A. and Kordas, Paige and Hadi Kiapour, M. and Zheng, Shuai and Piramuthu, Robinson and Lazebnik, Svetlana},
title = {Conditional Image-Text Embedding Networks},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Deep Co-Training for Semi-Supervised Image Recognition- Qiao, Siyuan and Shen, Wei and Zhang, Zhishuai and Wang, Bo and Yuille, Alan
- [pdf]
[bibtex]@InProceedings{Qiao_2018_ECCV,
author = {Qiao, Siyuan and Shen, Wei and Zhang, Zhishuai and Wang, Bo and Yuille, Alan},
title = {Deep Co-Training for Semi-Supervised Image Recognition},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Object Level Visual Reasoning in Videos- Baradel, Fabien and Neverova, Natalia and Wolf, Christian and Mille, Julien and Mori, Greg
- [pdf]
[bibtex]@InProceedings{Baradel_2018_ECCV,
author = {Baradel, Fabien and Neverova, Natalia and Wolf, Christian and Mille, Julien and Mori, Greg},
title = {Object Level Visual Reasoning in Videos},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
In the Eye of Beholder: Joint Learning of Gaze and Actions in First Person Video- Li, Yin and Liu, Miao and Rehg, James M.
- [pdf]
[bibtex]@InProceedings{Li_2018_ECCV,
author = {Li, Yin and Liu, Miao and Rehg, James M.},
title = {In the Eye of Beholder: Joint Learning of Gaze and Actions in First Person Video},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Deep Factorised Inverse-Sketching- Pang, Kaiyue and Li, Da and Song, Jifei and Song, Yi-Zhe and Xiang, Tao and Hospedales, Timothy M.
- [pdf]
[bibtex]@InProceedings{Pang_2018_ECCV,
author = {Pang, Kaiyue and Li, Da and Song, Jifei and Song, Yi-Zhe and Xiang, Tao and Hospedales, Timothy M.},
title = {Deep Factorised Inverse-Sketching},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
A Joint Sequence Fusion Model for Video Question Answering and Retrieval- Yu, Youngjae and Kim, Jongseok and Kim, Gunhee
- [pdf]
[bibtex]@InProceedings{Yu_2018_ECCV,
author = {Yu, Youngjae and Kim, Jongseok and Kim, Gunhee},
title = {A Joint Sequence Fusion Model for Video Question Answering and Retrieval},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
View-graph Selection Framework for SfM- Shah, Rajvi and Chari, Visesh and J Narayanan, P
- [pdf]
[bibtex]@InProceedings{Shah_2018_ECCV,
author = {Shah, Rajvi and Chari, Visesh and J Narayanan, P},
title = {View-graph Selection Framework for SfM},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Synthetically Supervised Feature Learning for Scene Text Recognition- Liu, Yang and Wang, Zhaowen and Jin, Hailin and Wassell, Ian
- [pdf]
[bibtex]@InProceedings{Liu_2018_ECCV,
author = {Liu, Yang and Wang, Zhaowen and Jin, Hailin and Wassell, Ian},
title = {Synthetically Supervised Feature Learning for Scene Text Recognition},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Deep Clustering for Unsupervised Learning of Visual Features- Caron, Mathilde and Bojanowski, Piotr and Joulin, Armand and Douze, Matthijs
- [pdf]
[bibtex]@InProceedings{Caron_2018_ECCV,
author = {Caron, Mathilde and Bojanowski, Piotr and Joulin, Armand and Douze, Matthijs},
title = {Deep Clustering for Unsupervised Learning of Visual Features},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Is Robustness the Cost of Accuracy? -- A Comprehensive Study on the Robustness of 18 Deep Image Classification Models- Su, Dong and Zhang, Huan and Chen, Hongge and Yi, Jinfeng and Chen, Pin-Yu and Gao, Yupeng
- [pdf]
[bibtex]@InProceedings{Su_2018_ECCV,
author = {Su, Dong and Zhang, Huan and Chen, Hongge and Yi, Jinfeng and Chen, Pin-Yu and Gao, Yupeng},
title = {Is Robustness the Cost of Accuracy? -- A Comprehensive Study on the Robustness of 18 Deep Image Classification Models},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Lifelong Learning via Progressive Distillation and Retrospection- Hou, Saihui and Pan, Xinyu and Change Loy, Chen and Wang, Zilei and Lin, Dahua
- [pdf]
[bibtex]@InProceedings{Hou_2018_ECCV,
author = {Hou, Saihui and Pan, Xinyu and Change Loy, Chen and Wang, Zilei and Lin, Dahua},
title = {Lifelong Learning via Progressive Distillation and Retrospection},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Urban Zoning Using Higher-Order Markov Random Fields on Multi-View Imagery Data- Feng, Tian and Truong, Quang-Trung and Thanh Nguyen, Duc and Yu Koh, Jing and Yu, Lap-Fai and Binder, Alexander and Yeung, Sai-Kit
- [pdf]
[bibtex]@InProceedings{Feng_2018_ECCV,
author = {Feng, Tian and Truong, Quang-Trung and Thanh Nguyen, Duc and Yu Koh, Jing and Yu, Lap-Fai and Binder, Alexander and Yeung, Sai-Kit},
title = {Urban Zoning Using Higher-Order Markov Random Fields on Multi-View Imagery Data},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Progressive Neural Architecture Search- Liu, Chenxi and Zoph, Barret and Neumann, Maxim and Shlens, Jonathon and Hua, Wei and Li, Li-Jia and Fei-Fei, Li and Yuille, Alan and Huang, Jonathan and Murphy, Kevin
- [pdf]
[bibtex]@InProceedings{Liu_2018_ECCV,
author = {Liu, Chenxi and Zoph, Barret and Neumann, Maxim and Shlens, Jonathon and Hua, Wei and Li, Li-Jia and Fei-Fei, Li and Yuille, Alan and Huang, Jonathan and Murphy, Kevin},
title = {Progressive Neural Architecture Search},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Single Image Water Hazard Detection using FCN with Reflection Attention Units- Han, Xiaofeng and Nguyen, Chuong and You, Shaodi and Lu, Jianfeng
- [pdf]
[bibtex]@InProceedings{Han_2018_ECCV,
author = {Han, Xiaofeng and Nguyen, Chuong and You, Shaodi and Lu, Jianfeng},
title = {Single Image Water Hazard Detection using FCN with Reflection Attention Units},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Predicting Gaze in Egocentric Video by Learning Task-dependent Attention Transition- Huang, Yifei and Cai, Minjie and Li, Zhenqiang and Sato, Yoichi
- [pdf]
[bibtex]@InProceedings{Huang_2018_ECCV,
author = {Huang, Yifei and Cai, Minjie and Li, Zhenqiang and Sato, Yoichi},
title = {Predicting Gaze in Egocentric Video by Learning Task-dependent Attention Transition},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Joint Learning of Intrinsic Images and Semantic Segmentation- Baslamisli, Anil S. and Groenestege, Thomas T. and Das, Partha and Le, Hoang-An and Karaoglu, Sezer and Gevers, Theo
- [pdf]
[bibtex]@InProceedings{Baslamisli_2018_ECCV,
author = {Baslamisli, Anil S. and Groenestege, Thomas T. and Das, Partha and Le, Hoang-An and Karaoglu, Sezer and Gevers, Theo},
title = {Joint Learning of Intrinsic Images and Semantic Segmentation},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Towards Robust Neural Networks via Random Self-ensemble- Liu, Xuanqing and Cheng, Minhao and Zhang, Huan and Hsieh, Cho-Jui
- [pdf]
[bibtex]@InProceedings{Liu_2018_ECCV,
author = {Liu, Xuanqing and Cheng, Minhao and Zhang, Huan and Hsieh, Cho-Jui},
title = {Towards Robust Neural Networks via Random Self-ensemble},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Programmable Triangulation Light Curtains- Wang, Jian and Bartels, Joseph and Whittaker, William and Sankaranarayanan, Aswin C. and Narasimhan, Srinivasa G.
- [pdf]
[bibtex]@InProceedings{Wang_2018_ECCV,
author = {Wang, Jian and Bartels, Joseph and Whittaker, William and Sankaranarayanan, Aswin C. and Narasimhan, Srinivasa G.},
title = {Programmable Triangulation Light Curtains},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Find and Focus: Retrieve and Localize Video Events with Natural Language Queries- Shao, Dian and Xiong, Yu and Zhao, Yue and Huang, Qingqiu and Qiao, Yu and Lin, Dahua
- [pdf]
[bibtex]@InProceedings{Shao_2018_ECCV,
author = {Shao, Dian and Xiong, Yu and Zhao, Yue and Huang, Qingqiu and Qiao, Yu and Lin, Dahua},
title = {Find and Focus: Retrieve and Localize Video Events with Natural Language Queries},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Rethinking the Form of Latent States in Image Captioning- Dai, Bo and Ye, Deming and Lin, Dahua
- [pdf]
[bibtex]@InProceedings{Dai_2018_ECCV,
author = {Dai, Bo and Ye, Deming and Lin, Dahua},
title = {Rethinking the Form of Latent States in Image Captioning},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
CubeNet: Equivariance to 3D Rotation and Translation- Worrall, Daniel and Brostow, Gabriel
- [pdf]
[bibtex]@InProceedings{Worrall_2018_ECCV,
author = {Worrall, Daniel and Brostow, Gabriel},
title = {CubeNet: Equivariance to 3D Rotation and Translation},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
DeepWrinkles: Accurate and Realistic Clothing Modeling- Lahner, Zorah and Cremers, Daniel and Tung, Tony
- [pdf]
[bibtex]@InProceedings{Lahner_2018_ECCV,
author = {Lahner, Zorah and Cremers, Daniel and Tung, Tony},
title = {DeepWrinkles: Accurate and Realistic Clothing Modeling},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Bidirectional Feature Pyramid Network with Recurrent Attention Residual Modules for Shadow Detection- Zhu, Lei and Deng, Zijun and Hu, Xiaowei and Fu, Chi-Wing and Xu, Xuemiao and Qin, Jing and Heng, Pheng-Ann
- [pdf]
[bibtex]@InProceedings{Zhu_2018_ECCV,
author = {Zhu, Lei and Deng, Zijun and Hu, Xiaowei and Fu, Chi-Wing and Xu, Xuemiao and Qin, Jing and Heng, Pheng-Ann},
title = {Bidirectional Feature Pyramid Network with Recurrent Attention Residual Modules for Shadow Detection},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Deep Regression Tracking with Shrinkage Loss- Lu, Xiankai and Ma, Chao and Ni, Bingbing and Yang, Xiaokang and Reid, Ian and Yang, Ming-Hsuan
- [pdf]
[bibtex]@InProceedings{Lu_2018_ECCV,
author = {Lu, Xiankai and Ma, Chao and Ni, Bingbing and Yang, Xiaokang and Reid, Ian and Yang, Ming-Hsuan},
title = {Deep Regression Tracking with Shrinkage Loss},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Super-Resolution and Sparse View CT Reconstruction- Zang, Guangming and Aly, Mohamed and Idoughi, Ramzi and Wonka, Peter and Heidrich, Wolfgang
- [pdf]
[bibtex]@InProceedings{Zang_2018_ECCV,
author = {Zang, Guangming and Aly, Mohamed and Idoughi, Ramzi and Wonka, Peter and Heidrich, Wolfgang},
title = {Super-Resolution and Sparse View CT Reconstruction},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Mask TextSpotter: An End-to-End Trainable Neural Network for Spotting Text with Arbitrary Shapes- Lyu, Pengyuan and Liao, Minghui and Yao, Cong and Wu, Wenhao and Bai, Xiang
- [pdf]
[bibtex]@InProceedings{Lyu_2018_ECCV,
author = {Lyu, Pengyuan and Liao, Minghui and Yao, Cong and Wu, Wenhao and Bai, Xiang},
title = {Mask TextSpotter: An End-to-End Trainable Neural Network for Spotting Text with Arbitrary Shapes},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Learning to Dodge A Bullet: Concyclic View Morphing via Deep Learning- Jin, Shi and Liu, Ruiynag and Ji, Yu and Ye, Jinwei and Yu, Jingyi
- [pdf]
[bibtex]@InProceedings{Jin_2018_ECCV,
author = {Jin, Shi and Liu, Ruiynag and Ji, Yu and Ye, Jinwei and Yu, Jingyi},
title = {Learning to Dodge A Bullet: Concyclic View Morphing via Deep Learning},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Deterministic Consensus Maximization with Biconvex Programming- Cai, Zhipeng and Chin, Tat-Jun and Le, Huu and Suter, David
- [pdf]
[bibtex]@InProceedings{Cai_2018_ECCV,
author = {Cai, Zhipeng and Chin, Tat-Jun and Le, Huu and Suter, David},
title = {Deterministic Consensus Maximization with Biconvex Programming},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Practical Black-box Attacks on Deep Neural Networks using Efficient Query Mechanisms- Nitin Bhagoji, Arjun and He, Warren and Li, Bo and Song, Dawn
- [pdf]
[bibtex]@InProceedings{Bhagoji_2018_ECCV,
author = {Nitin Bhagoji, Arjun and He, Warren and Li, Bo and Song, Dawn},
title = {Practical Black-box Attacks on Deep Neural Networks using Efficient Query Mechanisms},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Propagating LSTM: 3D Pose Estimation based on Joint Interdependency- Lee, Kyoungoh and Lee, Inwoong and Lee, Sanghoon
- [pdf]
[bibtex]@InProceedings{Lee_2018_ECCV,
author = {Lee, Kyoungoh and Lee, Inwoong and Lee, Sanghoon},
title = {Propagating LSTM: 3D Pose Estimation based on Joint Interdependency},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Associating Inter-Image Salient Instances for Weakly Supervised Semantic Segmentation- Fan, Ruochen and Hou, Qibin and Cheng, Ming-Ming and Yu, Gang and Martin, Ralph R. and Hu, Shi-Min
- [pdf]
[bibtex]@InProceedings{Fan_2018_ECCV,
author = {Fan, Ruochen and Hou, Qibin and Cheng, Ming-Ming and Yu, Gang and Martin, Ralph R. and Hu, Shi-Min},
title = {Associating Inter-Image Salient Instances for Weakly Supervised Semantic Segmentation},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Jointly Discovering Visual Objects and Spoken Words from Raw Sensory Input- Harwath, David and Recasens, Adria and Suris, Didac and Chuang, Galen and Torralba, Antonio and Glass, James
- [pdf]
[bibtex]@InProceedings{Harwath_2018_ECCV,
author = {Harwath, David and Recasens, Adria and Suris, Didac and Chuang, Galen and Torralba, Antonio and Glass, James},
title = {Jointly Discovering Visual Objects and Spoken Words from Raw Sensory Input},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Visual Tracking via Spatially Aligned Correlation Filters Network- Zhang, Mengdan and Wang, Qiang and Xing, Junliang and Gao, Jin and Peng, Peixi and Hu, Weiming and Maybank, Steve
- [pdf]
[bibtex]@InProceedings{Zhang_2018_ECCV,
author = {Zhang, Mengdan and Wang, Qiang and Xing, Junliang and Gao, Jin and Peng, Peixi and Hu, Weiming and Maybank, Steve},
title = {Visual Tracking via Spatially Aligned Correlation Filters Network},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
HairNet: Single-View Hair Reconstruction using Convolutional Neural Networks- Zhou, Yi and Hu, Liwen and Xing, Jun and Chen, Weikai and Kung, Han-Wei and Tong, Xin and Li, Hao
- [pdf]
[bibtex]@InProceedings{Zhou_2018_ECCV,
author = {Zhou, Yi and Hu, Liwen and Xing, Jun and Chen, Weikai and Kung, Han-Wei and Tong, Xin and Li, Hao},
title = {HairNet: Single-View Hair Reconstruction using Convolutional Neural Networks},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
The Sound of Pixels- Zhao, Hang and Gan, Chuang and Rouditchenko, Andrew and Vondrick, Carl and McDermott, Josh and Torralba, Antonio
- [pdf]
[bibtex]@InProceedings{Zhao_2018_ECCV,
author = {Zhao, Hang and Gan, Chuang and Rouditchenko, Andrew and Vondrick, Carl and McDermott, Josh and Torralba, Antonio},
title = {The Sound of Pixels},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Shape Reconstruction Using Volume Sweeping and Learned Photoconsistency- Leroy, Vincent and Franco, Jean-Sebastien and Boyer, Edmond
- [pdf]
[bibtex]@InProceedings{Leroy_2018_ECCV,
author = {Leroy, Vincent and Franco, Jean-Sebastien and Boyer, Edmond},
title = {Shape Reconstruction Using Volume Sweeping and Learned Photoconsistency},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Quantized Densely Connected U-Nets for Efficient Landmark Localization- Tang, Zhiqiang and Peng, Xi and Geng, Shijie and Wu, Lingfei and Zhang, Shaoting and Metaxas, Dimitris
- [pdf]
[bibtex]@InProceedings{Tang_2018_ECCV,
author = {Tang, Zhiqiang and Peng, Xi and Geng, Shijie and Wu, Lingfei and Zhang, Shaoting and Metaxas, Dimitris},
title = {Quantized Densely Connected U-Nets for Efficient Landmark Localization},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Joint 3D tracking of a deformable object in interaction with a hand- Tsoli, Aggeliki and Argyros, Antonis A.
- [pdf]
[bibtex]@InProceedings{Tsoli_2018_ECCV,
author = {Tsoli, Aggeliki and Argyros, Antonis A.},
title = {Joint 3D tracking of a deformable object in interaction with a hand},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Move Forward and Tell: A Progressive Generator of Video Descriptions- Xiong, Yilei and Dai, Bo and Lin, Dahua
- [pdf]
[bibtex]@InProceedings{Xiong_2018_ECCV,
author = {Xiong, Yilei and Dai, Bo and Lin, Dahua},
title = {Move Forward and Tell: A Progressive Generator of Video Descriptions},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Face Recognition with Contrastive Convolution- Han, Chunrui and Shan, Shiguang and Kan, Meina and Wu, Shuzhe and Chen, Xilin
- [pdf]
[bibtex]@InProceedings{Han_2018_ECCV,
author = {Han, Chunrui and Shan, Shiguang and Kan, Meina and Wu, Shuzhe and Chen, Xilin},
title = {Face Recognition with Contrastive Convolution},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Repeatability Is Not Enough: Learning Affine Regions via Discriminability- Mishkin, Dmytro and Radenovic, Filip and Matas, Jiri
- [pdf]
[bibtex]@InProceedings{Mishkin_2018_ECCV,
author = {Mishkin, Dmytro and Radenovic, Filip and Matas, Jiri},
title = {Repeatability Is Not Enough: Learning Affine Regions via Discriminability},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Tackling 3D ToF Artifacts Through Learning and the FLAT Dataset- Guo, Qi and Frosio, Iuri and Gallo, Orazio and Zickler, Todd and Kautz, Jan
- [pdf]
[bibtex]@InProceedings{Guo_2018_ECCV,
author = {Guo, Qi and Frosio, Iuri and Gallo, Orazio and Zickler, Todd and Kautz, Jan},
title = {Tackling 3D ToF Artifacts Through Learning and the FLAT Dataset},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Using LIP to Gloss Over Faces in Single-Stage Face Detection Networks- Yang, Siqi and Wiliem, Arnold and Chen, Shaokang and Lovell, Brian C.
- [pdf]
[bibtex]@InProceedings{Yang_2018_ECCV,
author = {Yang, Siqi and Wiliem, Arnold and Chen, Shaokang and Lovell, Brian C.},
title = {Using LIP to Gloss Over Faces in Single-Stage Face Detection Networks},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Motion Feature Network: Fixed Motion Filter for Action Recognition- Lee, Myunggi and Lee, Seungeui and Son, Sungjoon and Park, Gyutae and Kwak, Nojun
- [pdf]
[bibtex]@InProceedings{Lee_2018_ECCV,
author = {Lee, Myunggi and Lee, Seungeui and Son, Sungjoon and Park, Gyutae and Kwak, Nojun},
title = {Motion Feature Network: Fixed Motion Filter for Action Recognition},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Towards Privacy-Preserving Visual Recognition via Adversarial Training: A Pilot Study- Wu, Zhenyu and Wang, Zhangyang and Wang, Zhaowen and Jin, Hailin
- [pdf]
[bibtex]@InProceedings{Wu_2018_ECCV,
author = {Wu, Zhenyu and Wang, Zhangyang and Wang, Zhaowen and Jin, Hailin},
title = {Towards Privacy-Preserving Visual Recognition via Adversarial Training: A Pilot Study},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Learning Compression from Limited Unlabeled Data- He, Xiangyu and Cheng, Jian
- [pdf]
[bibtex]@InProceedings{He_2018_ECCV,
author = {He, Xiangyu and Cheng, Jian},
title = {Learning Compression from Limited Unlabeled Data},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
DeepVS: A Deep Learning Based Video Saliency Prediction Approach- Jiang, Lai and Xu, Mai and Liu, Tie and Qiao, Minglang and Wang, Zulin
- [pdf]
[bibtex]@InProceedings{Jiang_2018_ECCV,
author = {Jiang, Lai and Xu, Mai and Liu, Tie and Qiao, Minglang and Wang, Zulin},
title = {DeepVS: A Deep Learning Based Video Saliency Prediction Approach},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
ADVIO: An Authentic Dataset for Visual-Inertial Odometry- Cortes, Santiago and Solin, Arno and Rahtu, Esa and Kannala, Juho
- [pdf]
[bibtex]@InProceedings{Cortes_2018_ECCV,
author = {Cortes, Santiago and Solin, Arno and Rahtu, Esa and Kannala, Juho},
title = {ADVIO: An Authentic Dataset for Visual-Inertial Odometry},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Adversarial Geometry-Aware Human Motion Prediction- Gui, Liang-Yan and Wang, Yu-Xiong and Liang, Xiaodan and Moura, Jose M. F.
- [pdf]
[bibtex]@InProceedings{Gui_2018_ECCV,
author = {Gui, Liang-Yan and Wang, Yu-Xiong and Liang, Xiaodan and Moura, Jose M. F.},
title = {Adversarial Geometry-Aware Human Motion Prediction},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Online Dictionary Learning for Approximate Archetypal Analysis- Mei, Jieru and Wang, Chunyu and Zeng, Wenjun
- [pdf]
[bibtex]@InProceedings{Mei_2018_ECCV,
author = {Mei, Jieru and Wang, Chunyu and Zeng, Wenjun},
title = {Online Dictionary Learning for Approximate Archetypal Analysis},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Rendering Portraitures from Monocular Camera and Beyond- Xu, Xiangyu and Sun, Deqing and Liu, Sifei and Ren, Wenqi and Zhang, Yu-Jin and Yang, Ming-Hsuan and Sun, Jian
- [pdf]
[bibtex]@InProceedings{Xu_2018_ECCV,
author = {Xu, Xiangyu and Sun, Deqing and Liu, Sifei and Ren, Wenqi and Zhang, Yu-Jin and Yang, Ming-Hsuan and Sun, Jian},
title = {Rendering Portraitures from Monocular Camera and Beyond},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Attributes as Operators: Factorizing Unseen Attribute-Object Compositions- Nagarajan, Tushar and Grauman, Kristen
- [pdf]
[bibtex]@InProceedings{Nagarajan_2018_ECCV,
author = {Nagarajan, Tushar and Grauman, Kristen},
title = {Attributes as Operators: Factorizing Unseen Attribute-Object Compositions},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Scaling Egocentric Vision: The EPIC-KITCHENS Dataset- Damen, Dima and Doughty, Hazel and Maria Farinella, Giovanni and Fidler, Sanja and Furnari, Antonino and Kazakos, Evangelos and Moltisanti, Davide and Munro, Jonathan and Perrett, Toby and Price, Will and Wray, Michael
- [pdf]
[bibtex]@InProceedings{Damen_2018_ECCV,
author = {Damen, Dima and Doughty, Hazel and Maria Farinella, Giovanni and Fidler, Sanja and Furnari, Antonino and Kazakos, Evangelos and Moltisanti, Davide and Munro, Jonathan and Perrett, Toby and Price, Will and Wray, Michael},
title = {Scaling Egocentric Vision: The EPIC-KITCHENS Dataset},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Realtime Time Synchronized Event-based Stereo- Zihao Zhu, Alex and Chen, Yibo and Daniilidis, Kostas
- [pdf]
[bibtex]@InProceedings{Zhu_2018_ECCV,
author = {Zihao Zhu, Alex and Chen, Yibo and Daniilidis, Kostas},
title = {Realtime Time Synchronized Event-based Stereo},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Memory Aware Synapses: Learning what (not) to forget- Aljundi, Rahaf and Babiloni, Francesca and Elhoseiny, Mohamed and Rohrbach, Marcus and Tuytelaars, Tinne
- [pdf]
[bibtex]@InProceedings{Aljundi_2018_ECCV,
author = {Aljundi, Rahaf and Babiloni, Francesca and Elhoseiny, Mohamed and Rohrbach, Marcus and Tuytelaars, Tinne},
title = {Memory Aware Synapses: Learning what (not) to forget },
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Learning and Matching Multi-View Descriptors for Registration of Point Clouds- Zhou, Lei and Zhu, Siyu and Luo, Zixin and Shen, Tianwei and Zhang, Runze and Zhen, Mingmin and Fang, Tian and Quan, Long
- [pdf]
[bibtex]@InProceedings{Zhou_2018_ECCV,
author = {Zhou, Lei and Zhu, Siyu and Luo, Zixin and Shen, Tianwei and Zhang, Runze and Zhen, Mingmin and Fang, Tian and Quan, Long},
title = {Learning and Matching Multi-View Descriptors for Registration of Point Clouds},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Semi-Dense 3D Reconstruction with a Stereo Event Camera- Zhou, Yi and Gallego, Guillermo and Rebecq, Henri and Kneip, Laurent and Li, Hongdong and Scaramuzza, Davide
- [pdf]
[bibtex]@InProceedings{Zhou_2018_ECCV,
author = {Zhou, Yi and Gallego, Guillermo and Rebecq, Henri and Kneip, Laurent and Li, Hongdong and Scaramuzza, Davide},
title = {Semi-Dense 3D Reconstruction with a Stereo Event Camera},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Scale-Awareness of Light Field Camera based Visual Odometry- Zeller, Niclas and Quint, Franz and Stilla, Uwe
- [pdf]
[bibtex]@InProceedings{Zeller_2018_ECCV,
author = {Zeller, Niclas and Quint, Franz and Stilla, Uwe},
title = {Scale-Awareness of Light Field Camera based Visual Odometry},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Revisiting Autofocus for Smartphone Cameras- Abuolaim, Abdullah and Punnappurath, Abhijith and Brown, Michael S.
- [pdf]
[bibtex]@InProceedings{Abuolaim_2018_ECCV,
author = {Abuolaim, Abdullah and Punnappurath, Abhijith and Brown, Michael S.},
title = {Revisiting Autofocus for Smartphone Cameras},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Deep Adversarial Attention Alignment for Unsupervised Domain Adaptation: the Benefit of Target Expectation Maximization- Kang, Guoliang and Zheng, Liang and Yan, Yan and Yang, Yi
- [pdf]
[bibtex]@InProceedings{Kang_2018_ECCV,
author = {Kang, Guoliang and Zheng, Liang and Yan, Yan and Yang, Yi},
title = {Deep Adversarial Attention Alignment for Unsupervised Domain Adaptation: the Benefit of Target Expectation Maximization},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Efficient 6-DoF Tracking of Handheld Objects from an Egocentric Viewpoint- Pandey, Rohit and Pidlypenskyi, Pavel and Yang, Shuoran and Kaeser-Chen, Christine
- [pdf]
[bibtex]@InProceedings{Pandey_2018_ECCV,
author = {Pandey, Rohit and Pidlypenskyi, Pavel and Yang, Shuoran and Kaeser-Chen, Christine},
title = {Efficient 6-DoF Tracking of Handheld Objects from an Egocentric Viewpoint},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
How good is my GAN?- Shmelkov, Konstantin and Schmid, Cordelia and Alahari, Karteek
- [pdf]
[bibtex]@InProceedings{Shmelkov_2018_ECCV,
author = {Shmelkov, Konstantin and Schmid, Cordelia and Alahari, Karteek},
title = {How good is my GAN?},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Superpixel Sampling Networks- Jampani, Varun and Sun, Deqing and Liu, Ming-Yu and Yang, Ming-Hsuan and Kautz, Jan
- [pdf]
[bibtex]@InProceedings{Jampani_2018_ECCV,
author = {Jampani, Varun and Sun, Deqing and Liu, Ming-Yu and Yang, Ming-Hsuan and Kautz, Jan},
title = {Superpixel Sampling Networks},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Effective Use of Synthetic Data for Urban Scene Semantic Segmentation- Sadat Saleh, Fatemeh and Sadegh Aliakbarian, Mohammad and Salzmann, Mathieu and Petersson, Lars and Alvarez, Jose M.
- [pdf]
[bibtex]@InProceedings{Saleh_2018_ECCV,
author = {Sadat Saleh, Fatemeh and Sadegh Aliakbarian, Mohammad and Salzmann, Mathieu and Petersson, Lars and Alvarez, Jose M.},
title = {Effective Use of Synthetic Data for Urban Scene Semantic Segmentation},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Generating 3D Faces using Convolutional Mesh Autoencoders- Ranjan, Anurag and Bolkart, Timo and Sanyal, Soubhik and Black, Michael J.
- [pdf]
[bibtex]@InProceedings{Ranjan_2018_ECCV,
author = {Ranjan, Anurag and Bolkart, Timo and Sanyal, Soubhik and Black, Michael J.},
title = {Generating 3D Faces using Convolutional Mesh Autoencoders},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
3D Face Reconstruction from Light Field Images: A Model-free Approach- Feng, Mingtao and Zulqarnain Gilani, Syed and Wang, Yaonan and Mian, Ajmal
- [pdf]
[bibtex]@InProceedings{Feng_2018_ECCV,
author = {Feng, Mingtao and Zulqarnain Gilani, Syed and Wang, Yaonan and Mian, Ajmal},
title = {3D Face Reconstruction from Light Field Images: A Model-free Approach},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Attention-aware Deep Adversarial Hashing for Cross-Modal Retrieval- Zhang, Xi and Lai, Hanjiang and Feng, Jiashi
- [pdf]
[bibtex]@InProceedings{Zhang_2018_ECCV,
author = {Zhang, Xi and Lai, Hanjiang and Feng, Jiashi},
title = {Attention-aware Deep Adversarial Hashing for Cross-Modal Retrieval},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Museum Exhibit Identification Challenge for the Supervised Domain Adaptation and Beyond- Koniusz, Piotr and Tas, Yusuf and Zhang, Hongguang and Harandi, Mehrtash and Porikli, Fatih and Zhang, Rui
- [pdf]
[bibtex]@InProceedings{Koniusz_2018_ECCV,
author = {Koniusz, Piotr and Tas, Yusuf and Zhang, Hongguang and Harandi, Mehrtash and Porikli, Fatih and Zhang, Rui},
title = {Museum Exhibit Identification Challenge for the Supervised Domain Adaptation and Beyond},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
End-to-End Deep Structured Models for Drawing Crosswalks- Liang, Justin and Urtasun, Raquel
- [pdf]
[bibtex]@InProceedings{Liang_2018_ECCV,
author = {Liang, Justin and Urtasun, Raquel},
title = {End-to-End Deep Structured Models for Drawing Crosswalks},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Learning Visual Question Answering by Bootstrapping Hard Attention- Malinowski, Mateusz and Doersch, Carl and Santoro, Adam and Battaglia, Peter
- [pdf]
[bibtex]@InProceedings{Malinowski_2018_ECCV,
author = {Malinowski, Mateusz and Doersch, Carl and Santoro, Adam and Battaglia, Peter},
title = {Learning Visual Question Answering by Bootstrapping Hard Attention},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Deep Adaptive Attention for Joint Facial Action Unit Detection and Face Alignment- Shao, Zhiwen and Liu, Zhilei and Cai, Jianfei and Ma, Lizhuang
- [pdf]
[bibtex]@InProceedings{Shao_2018_ECCV,
author = {Shao, Zhiwen and Liu, Zhilei and Cai, Jianfei and Ma, Lizhuang},
title = {Deep Adaptive Attention for Joint Facial Action Unit Detection and Face Alignment},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Data-Driven Sparse Structure Selection for Deep Neural Networks- Huang, Zehao and Wang, Naiyan
- [pdf]
[bibtex]@InProceedings{Huang_2018_ECCV,
author = {Huang, Zehao and Wang, Naiyan},
title = {Data-Driven Sparse Structure Selection for Deep Neural Networks},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
To learn image super-resolution, use a GAN to learn how to do image degradation first- Bulat, Adrian and Yang, Jing and Tzimiropoulos, Georgios
- [pdf]
[bibtex]@InProceedings{Bulat_2018_ECCV,
author = {Bulat, Adrian and Yang, Jing and Tzimiropoulos, Georgios},
title = {To learn image super-resolution, use a GAN to learn how to do image degradation first},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Self-Supervised Relative Depth Learning for Urban Scene Understanding- Jiang, Huaizu and Larsson, Gustav and Maire Greg Shakhnarovich, Michael and Learned-Miller, Erik
- [pdf]
[bibtex]@InProceedings{Jiang_2018_ECCV,
author = {Jiang, Huaizu and Larsson, Gustav and Maire Greg Shakhnarovich, Michael and Learned-Miller, Erik},
title = {Self-Supervised Relative Depth Learning for Urban Scene Understanding},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
End-to-End Joint Semantic Segmentation of Actors and Actions in Video- Ji, Jingwei and Buch, Shyamal and Soto, Alvaro and Niebles, Juan Carlos
- [pdf]
[bibtex]@InProceedings{Ji_2018_ECCV,
author = {Ji, Jingwei and Buch, Shyamal and Soto, Alvaro and Niebles, Juan Carlos},
title = {End-to-End Joint Semantic Segmentation of Actors and Actions in Video},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Deep Texture and Structure Aware Filtering Network for Image Smoothing- Lu, Kaiyue and You, Shaodi and Barnes, Nick
- [pdf]
[bibtex]@InProceedings{Lu_2018_ECCV,
author = {Lu, Kaiyue and You, Shaodi and Barnes, Nick},
title = {Deep Texture and Structure Aware Filtering Network for Image Smoothing},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Pairwise Relational Networks for Face Recognition- Kang, Bong-Nam and Kim, Yonghyun and Kim, Daijin
- [pdf]
[bibtex]@InProceedings{Kang_2018_ECCV,
author = {Kang, Bong-Nam and Kim, Yonghyun and Kim, Daijin},
title = {Pairwise Relational Networks for Face Recognition},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
LAPRAN: A Scalable Laplacian Pyramid Reconstructive Adversarial Network for Flexible Compressive Sensing Reconstruction- XU, Kai and Zhang, Zhikang and Ren, Fengbo
- [pdf]
[bibtex]@InProceedings{XU_2018_ECCV,
author = {XU, Kai and Zhang, Zhikang and Ren, Fengbo},
title = {LAPRAN: A Scalable Laplacian Pyramid Reconstructive Adversarial Network for Flexible Compressive Sensing Reconstruction},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Learning Warped Guidance for Blind Face Restoration- Li, Xiaoming and Liu, Ming and Ye, Yuting and Zuo, Wangmeng and Lin, Liang and Yang, Ruigang
- [pdf]
[bibtex]@InProceedings{Li_2018_ECCV,
author = {Li, Xiaoming and Liu, Ming and Ye, Yuting and Zuo, Wangmeng and Lin, Liang and Yang, Ruigang},
title = {Learning Warped Guidance for Blind Face Restoration},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Shift-Net: Image Inpainting via Deep Feature Rearrangement- Yan, Zhaoyi and Li, Xiaoming and Li, Mu and Zuo, Wangmeng and Shan, Shiguang
- [pdf]
[bibtex]@InProceedings{Yan_2018_ECCV,
author = {Yan, Zhaoyi and Li, Xiaoming and Li, Mu and Zuo, Wangmeng and Shan, Shiguang},
title = {Shift-Net: Image Inpainting via Deep Feature Rearrangement},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Question-Guided Hybrid Convolution for Visual Question Answering- Gao, Peng and Li, Hongsheng and Li, Shuang and Lu, Pan and Li, Yikang and Hoi, Steven C.H. and Wang, Xiaogang
- [pdf]
[bibtex]@InProceedings{Gao_2018_ECCV,
author = {Gao, Peng and Li, Hongsheng and Li, Shuang and Lu, Pan and Li, Yikang and Hoi, Steven C.H. and Wang, Xiaogang},
title = {Question-Guided Hybrid Convolution for Visual Question Answering},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Disentangling Factors of Variation with Cycle-Consistent Variational Auto-Encoders- Jha, Ananya Harsh and Anand, Saket and Singh, Maneesh and Veeravasarapu, VSR
- [pdf]
[bibtex]@InProceedings{Jha_2018_ECCV,
author = {Jha, Ananya Harsh and Anand, Saket and Singh, Maneesh and Veeravasarapu, VSR},
title = {Disentangling Factors of Variation with Cycle-Consistent Variational Auto-Encoders},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Deep Fundamental Matrix Estimation- Ranftl, Rene and Koltun, Vladlen
- [pdf]
[bibtex]@InProceedings{Ranftl_2018_ECCV,
author = {Ranftl, Rene and Koltun, Vladlen},
title = {Deep Fundamental Matrix Estimation},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Where are the blobs: Counting by Localization with Point Supervision- Laradji, Issam H. and Rostamzadeh, Negar and Pinheiro, Pedro O. and Vazquez, David and Schmidt, Mark
- [pdf]
[bibtex]@InProceedings{Laradji_2018_ECCV,
author = {Laradji, Issam H. and Rostamzadeh, Negar and Pinheiro, Pedro O. and Vazquez, David and Schmidt, Mark},
title = {Where are the blobs: Counting by Localization with Point Supervision},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Pose Guided Human Video Generation- Yang, Ceyuan and Wang, Zhe and Zhu, Xinge and Huang, Chen and Shi, Jianping and Lin, Dahua
- [pdf]
[bibtex]@InProceedings{Yang_2018_ECCV,
author = {Yang, Ceyuan and Wang, Zhe and Zhu, Xinge and Huang, Chen and Shi, Jianping and Lin, Dahua},
title = {Pose Guided Human Video Generation},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Real-time 'Actor-Critic' Tracking- Chen, Boyu and Wang, Dong and Li, Peixia and Wang, Shuang and Lu, Huchuan
- [pdf]
[bibtex]@InProceedings{Chen_2018_ECCV,
author = {Chen, Boyu and Wang, Dong and Li, Peixia and Wang, Shuang and Lu, Huchuan},
title = {Real-time 'Actor-Critic' Tracking},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Estimating the Success of Unsupervised Image to Image Translation- Benaim, Sagie and Galanti, Tomer and Wolf, Lior
- [pdf]
[bibtex]@InProceedings{Benaim_2018_ECCV,
author = {Benaim, Sagie and Galanti, Tomer and Wolf, Lior},
title = {Estimating the Success of Unsupervised Image to Image Translation},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Deep Bilevel Learning- Jenni, Simon and Favaro, Paolo
- [pdf]
[bibtex]@InProceedings{Jenni_2018_ECCV,
author = {Jenni, Simon and Favaro, Paolo},
title = {Deep Bilevel Learning},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Sparsely Aggregated Convolutional Networks- Zhu, Ligeng and Deng, Ruizhi and Maire, Michael and Deng, Zhiwei and Mori, Greg and Tan, Ping
- [pdf]
[bibtex]@InProceedings{Zhu_2018_ECCV,
author = {Zhu, Ligeng and Deng, Ruizhi and Maire, Michael and Deng, Zhiwei and Mori, Greg and Tan, Ping},
title = {Sparsely Aggregated Convolutional Networks},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Interpretable Intuitive Physics Model- Ye, Tian and Wang, Xiaolong and Davidson, James and Gupta, Abhinav
- [pdf]
[bibtex]@InProceedings{Ye_2018_ECCV,
author = {Ye, Tian and Wang, Xiaolong and Davidson, James and Gupta, Abhinav},
title = {Interpretable Intuitive Physics Model},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Appearance-Based Gaze Estimation via Evaluation-Guided Asymmetric Regression- Cheng, Yihua and Lu, Feng and Zhang, Xucong
- [pdf]
[bibtex]@InProceedings{Cheng_2018_ECCV,
author = {Cheng, Yihua and Lu, Feng and Zhang, Xucong},
title = {Appearance-Based Gaze Estimation via Evaluation-Guided Asymmetric Regression},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
ADVISE: Symbolism and External Knowledge for Decoding Advertisements- Ye, Keren and Kovashka, Adriana
- [pdf]
[bibtex]@InProceedings{Ye_2018_ECCV,
author = {Ye, Keren and Kovashka, Adriana},
title = {ADVISE: Symbolism and External Knowledge for Decoding Advertisements},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Toward Characteristic-Preserving Image-based Virtual Try-On Network- Wang, Bochao and Zheng, Huabin and Liang, Xiaodan and Chen, Yimin and Lin, Liang and Yang, Meng
- [pdf]
[bibtex]@InProceedings{Wang_2018_ECCV,
author = {Wang, Bochao and Zheng, Huabin and Liang, Xiaodan and Chen, Yimin and Lin, Liang and Yang, Meng},
title = {Toward Characteristic-Preserving Image-based Virtual Try-On Network},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
A Closed-form Solution to Photorealistic Image Stylization- Li, Yijun and Liu, Ming-Yu and Li, Xueting and Yang, Ming-Hsuan and Kautz, Jan
- [pdf]
[bibtex]@InProceedings{Li_2018_ECCV,
author = {Li, Yijun and Liu, Ming-Yu and Li, Xueting and Yang, Ming-Hsuan and Kautz, Jan},
title = {A Closed-form Solution to Photorealistic Image Stylization},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Understanding Degeneracies and Ambiguities in Attribute Transfer- Szabo, Attila and Hu, Qiyang and Portenier, Tiziano and Zwicker, Matthias and Favaro, Paolo
- [pdf]
[bibtex]@InProceedings{Szabo_2018_ECCV,
author = {Szabo, Attila and Hu, Qiyang and Portenier, Tiziano and Zwicker, Matthias and Favaro, Paolo},
title = {Understanding Degeneracies and Ambiguities in Attribute Transfer},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Bi-Real Net: Enhancing the Performance of 1-bit CNNs with Improved Representational Capability and Advanced Training Algorithm- Liu, Zechun and Wu, Baoyuan and Luo, Wenhan and Yang, Xin and Liu, Wei and Cheng, Kwang-Ting
- [pdf]
[bibtex]@InProceedings{Liu_2018_ECCV,
author = {Liu, Zechun and Wu, Baoyuan and Luo, Wenhan and Yang, Xin and Liu, Wei and Cheng, Kwang-Ting},
title = {Bi-Real Net: Enhancing the Performance of 1-bit CNNs with Improved Representational Capability and Advanced Training Algorithm},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Temporal Modular Networks for Retrieving Complex Compositional Activities in Videos- Liu, Bingbin and Yeung, Serena and Chou, Edward and Huang, De-An and Fei-Fei, Li and Niebles, Juan Carlos
- [pdf]
[bibtex]@InProceedings{Liu_2018_ECCV,
author = {Liu, Bingbin and Yeung, Serena and Chou, Edward and Huang, De-An and Fei-Fei, Li and Niebles, Juan Carlos},
title = {Temporal Modular Networks for Retrieving Complex Compositional Activities in Videos},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Neural Stereoscopic Image Style Transfer- Gong, Xinyu and Huang, Haozhi and Ma, Lin and Shen, Fumin and Liu, Wei and Zhang, Tong
- [pdf]
[bibtex]@InProceedings{Gong_2018_ECCV,
author = {Gong, Xinyu and Huang, Haozhi and Ma, Lin and Shen, Fumin and Liu, Wei and Zhang, Tong},
title = {Neural Stereoscopic Image Style Transfer},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
HiDDeN: Hiding Data with Deep Networks- Zhu, Jiren and Kaplan, Russell and Johnson, Justin and Fei-Fei, Li
- [pdf]
[bibtex]@InProceedings{Zhu_2018_ECCV,
author = {Zhu, Jiren and Kaplan, Russell and Johnson, Justin and Fei-Fei, Li},
title = {HiDDeN: Hiding Data with Deep Networks},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Occlusion-aware Hand Pose Estimation Using Hierarchical Mixture Density Network- Ye, Qi and Kim, Tae-Kyun
- [pdf]
[bibtex]@InProceedings{Ye_2018_ECCV,
author = {Ye, Qi and Kim, Tae-Kyun},
title = {Occlusion-aware Hand Pose Estimation Using Hierarchical Mixture Density Network},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Conditional Prior Networks for Optical Flow- Yang, Yanchao and Soatto, Stefano
- [pdf]
[bibtex]@InProceedings{Yang_2018_ECCV,
author = {Yang, Yanchao and Soatto, Stefano},
title = {Conditional Prior Networks for Optical Flow},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Learning 3D Keypoint Descriptors for Non-Rigid Shape Matching- Wang, Hanyu and Guo, Jianwei and Yan, Dong-Ming and Quan, Weize and Zhang, Xiaopeng
- [pdf]
[bibtex]@InProceedings{Wang_2018_ECCV,
author = {Wang, Hanyu and Guo, Jianwei and Yan, Dong-Ming and Quan, Weize and Zhang, Xiaopeng},
title = {Learning 3D Keypoint Descriptors for Non-Rigid Shape Matching},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Stacked Cross Attention for Image-Text Matching- Lee, Kuang-Huei and Chen, Xi and Hua, Gang and Hu, Houdong and He, Xiaodong
- [pdf]
[bibtex]@InProceedings{Lee_2018_ECCV,
author = {Lee, Kuang-Huei and Chen, Xi and Hua, Gang and Hu, Houdong and He, Xiaodong},
title = {Stacked Cross Attention for Image-Text Matching},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Video Summarization Using Fully Convolutional Sequence Networks- Rochan, Mrigank and Ye, Linwei and Wang, Yang
- [pdf]
[bibtex]@InProceedings{Rochan_2018_ECCV,
author = {Rochan, Mrigank and Ye, Linwei and Wang, Yang},
title = {Video Summarization Using Fully Convolutional Sequence Networks},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Unveiling the Power of Deep Tracking- Bhat, Goutam and Johnander, Joakim and Danelljan, Martin and Shahbaz Khan, Fahad and Felsberg, Michael
- [pdf]
[bibtex]@InProceedings{Bhat_2018_ECCV,
author = {Bhat, Goutam and Johnander, Joakim and Danelljan, Martin and Shahbaz Khan, Fahad and Felsberg, Michael},
title = {Unveiling the Power of Deep Tracking},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Weakly Supervised Region Proposal Network and Object Detection- Tang, Peng and Wang, Xinggang and Wang, Angtian and Yan, Yongluan and Liu, Wenyu and Huang, Junzhou and Yuille, Alan
- [pdf]
[bibtex]@InProceedings{Tang_2018_ECCV,
author = {Tang, Peng and Wang, Xinggang and Wang, Angtian and Yan, Yongluan and Liu, Wenyu and Huang, Junzhou and Yuille, Alan},
title = {Weakly Supervised Region Proposal Network and Object Detection},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
The Devil of Face Recognition is in the Noise- Wang, Fei and Chen, Liren and Li, Cheng and Huang, Shiyao and Chen, Yanjie and Qian, Chen and Change Loy, Chen
- [pdf]
[bibtex]@InProceedings{Wang_2018_ECCV,
author = {Wang, Fei and Chen, Liren and Li, Cheng and Huang, Shiyao and Chen, Yanjie and Qian, Chen and Change Loy, Chen},
title = {The Devil of Face Recognition is in the Noise},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
SwapNet: Garment Transfer in Single View Images- Raj, Amit and Sangkloy, Patsorn and Chang, Huiwen and Lu, Jingwan and Ceylan, Duygu and Hays, James
- [pdf]
[bibtex]@InProceedings{Raj_2018_ECCV,
author = {Raj, Amit and Sangkloy, Patsorn and Chang, Huiwen and Lu, Jingwan and Ceylan, Duygu and Hays, James},
title = {SwapNet: Garment Transfer in Single View Images},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Egocentric Activity Prediction via Event Modulated Attention- Shen, Yang and Ni, Bingbing and Li, Zefan and Zhuang, Ning
- [pdf]
[bibtex]@InProceedings{Shen_2018_ECCV,
author = {Shen, Yang and Ni, Bingbing and Li, Zefan and Zhuang, Ning},
title = {Egocentric Activity Prediction via Event Modulated Attention},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Person Search in Videos with One Portrait Through Visual and Temporal Links- Huang, Qingqiu and Liu, Wentao and Lin, Dahua
- [pdf]
[bibtex]@InProceedings{Huang_2018_ECCV,
author = {Huang, Qingqiu and Liu, Wentao and Lin, Dahua},
title = {Person Search in Videos with One Portrait Through Visual and Temporal Links},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Stereo Computation for a Single Mixture Image- Zhong, Yiran and Dai, Yuchao and Li, Hongdong
- [pdf]
[bibtex]@InProceedings{Zhong_2018_ECCV,
author = {Zhong, Yiran and Dai, Yuchao and Li, Hongdong},
title = {Stereo Computation for a Single Mixture Image},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Value-aware Quantization for Training and Inference of Neural Networks- Park, Eunhyeok and Yoo, Sungjoo and Vajda, Peter
- [pdf]
[bibtex]@InProceedings{Park_2018_ECCV,
author = {Park, Eunhyeok and Yoo, Sungjoo and Vajda, Peter},
title = {Value-aware Quantization for Training and Inference of Neural Networks},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Explainable Neural Computation via Stack Neural Module Networks- Hu, Ronghang and Andreas, Jacob and Darrell, Trevor and Saenko, Kate
- [pdf]
[bibtex]@InProceedings{Hu_2018_ECCV,
author = {Hu, Ronghang and Andreas, Jacob and Darrell, Trevor and Saenko, Kate},
title = {Explainable Neural Computation via Stack Neural Module Networks},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Semi-supervised Adversarial Learning to Generate Photorealistic Face Images of New Identities from 3D Morphable Model- Gecer, Baris and Bhattarai, Binod and Kittler, Josef and Kim, Tae-Kyun
- [pdf]
[bibtex]@InProceedings{Gecer_2018_ECCV,
author = {Gecer, Baris and Bhattarai, Binod and Kittler, Josef and Kim, Tae-Kyun},
title = {Semi-supervised Adversarial Learning to Generate Photorealistic Face Images of New Identities from 3D Morphable Model},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
TBN: Convolutional Neural Network with Ternary Inputs and Binary Weights- Wan, Diwen and Shen, Fumin and Liu, Li and Zhu, Fan and Qin, Jie and Shao, Ling and Tao Shen, Heng
- [pdf]
[bibtex]@InProceedings{Wan_2018_ECCV,
author = {Wan, Diwen and Shen, Fumin and Liu, Li and Zhu, Fan and Qin, Jie and Shao, Ling and Tao Shen, Heng},
title = {TBN: Convolutional Neural Network with Ternary Inputs and Binary Weights},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Verisimilar Image Synthesis for Accurate Detection and Recognition of Texts in Scenes- Zhan, Fangneng and Lu, Shijian and Xue, Chuhui
- [pdf]
[bibtex]@InProceedings{Zhan_2018_ECCV,
author = {Zhan, Fangneng and Lu, Shijian and Xue, Chuhui},
title = {Verisimilar Image Synthesis for Accurate Detection and Recognition of Texts in Scenes},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
What do I Annotate Next? An Empirical Study of Active Learning for Action Localization- Caba Heilbron, Fabian and Lee, Joon-Young and Jin, Hailin and Ghanem, Bernard
- [pdf]
[bibtex]@InProceedings{Heilbron_2018_ECCV,
author = {Caba Heilbron, Fabian and Lee, Joon-Young and Jin, Hailin and Ghanem, Bernard},
title = {What do I Annotate Next? An Empirical Study of Active Learning for Action Localization},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
An Adversarial Approach to Hard Triplet Generation- Zhao, Yiru and Jin, Zhongming and Qi, Guo-jun and Lu, Hongtao and Hua, Xian-sheng
- [pdf]
[bibtex]@InProceedings{Zhao_2018_ECCV,
author = {Zhao, Yiru and Jin, Zhongming and Qi, Guo-jun and Lu, Hongtao and Hua, Xian-sheng},
title = {An Adversarial Approach to Hard Triplet Generation},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Interactive Boundary Prediction for Object Selection- Le, Hoang and Mai, Long and Price, Brian and Cohen, Scott and Jin, Hailin and Liu, Feng
- [pdf]
[bibtex]@InProceedings{Le_2018_ECCV,
author = {Le, Hoang and Mai, Long and Price, Brian and Cohen, Scott and Jin, Hailin and Liu, Feng},
title = {Interactive Boundary Prediction for Object Selection},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
TrackingNet: A Large-Scale Dataset and Benchmark for Object Tracking in the Wild- Muller, Matthias and Bibi, Adel and Giancola, Silvio and Alsubaihi, Salman and Ghanem, Bernard
- [pdf]
[bibtex]@InProceedings{Muller_2018_ECCV,
author = {Muller, Matthias and Bibi, Adel and Giancola, Silvio and Alsubaihi, Salman and Ghanem, Bernard},
title = {TrackingNet: A Large-Scale Dataset and Benchmark for Object Tracking in the Wild},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Concept Mask: Large-Scale Segmentation from Semantic Concepts- Wang, Yufei and Lin, Zhe and Shen, Xiaohui and Zhang, Jianming and Cohen, Scott
- [pdf]
[bibtex]@InProceedings{Wang_2018_ECCV,
author = {Wang, Yufei and Lin, Zhe and Shen, Xiaohui and Zhang, Jianming and Cohen, Scott},
title = {Concept Mask: Large-Scale Segmentation from Semantic Concepts},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Simultaneous 3D Reconstruction for Water Surface and Underwater Scene- Qian, Yiming and Zheng, Yinqiang and Gong, Minglun and Yang, Yee-Hong
- [pdf]
[bibtex]@InProceedings{Qian_2018_ECCV,
author = {Qian, Yiming and Zheng, Yinqiang and Gong, Minglun and Yang, Yee-Hong},
title = {Simultaneous 3D Reconstruction for Water Surface and Underwater Scene},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
SegStereo: Exploiting Semantic Information for Disparity Estimation- Yang, Guorun and Zhao, Hengshuang and Shi, Jianping and Deng, Zhidong and Jia, Jiaya
- [pdf]
[bibtex]@InProceedings{Yang_2018_ECCV,
author = {Yang, Guorun and Zhao, Hengshuang and Shi, Jianping and Deng, Zhidong and Jia, Jiaya},
title = {SegStereo: Exploiting Semantic Information for Disparity Estimation},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
3D-CODED: 3D Correspondences by Deep Deformation- Groueix, Thibault and Fisher, Matthew and Kim, Vladimir G. and Russell, Bryan C. and Aubry, Mathieu
- [pdf]
[bibtex]@InProceedings{Groueix_2018_ECCV,
author = {Groueix, Thibault and Fisher, Matthew and Kim, Vladimir G. and Russell, Bryan C. and Aubry, Mathieu},
title = {3D-CODED: 3D Correspondences by Deep Deformation},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Deep Virtual Stereo Odometry: Leveraging Deep Depth Prediction for Monocular Direct Sparse Odometry- Yang, Nan and Wang, Rui and Stuckler, Jorg and Cremers, Daniel
- [pdf]
[bibtex]@InProceedings{Yang_2018_ECCV,
author = {Yang, Nan and Wang, Rui and Stuckler, Jorg and Cremers, Daniel},
title = {Deep Virtual Stereo Odometry: Leveraging Deep Depth Prediction for Monocular Direct Sparse Odometry},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Single Image Intrinsic Decomposition without a Single Intrinsic Image- Ma, Wei-Chiu and Chu, Hang and Zhou, Bolei and Urtasun, Raquel and Torralba, Antonio
- [pdf]
[bibtex]@InProceedings{Ma_2018_ECCV,
author = {Ma, Wei-Chiu and Chu, Hang and Zhou, Bolei and Urtasun, Raquel and Torralba, Antonio},
title = {Single Image Intrinsic Decomposition without a Single Intrinsic Image},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Deep Model-Based 6D Pose Refinement in RGB- Manhardt, Fabian and Kehl, Wadim and Navab, Nassir and Tombari, Federico
- [pdf]
[bibtex]@InProceedings{Manhardt_2018_ECCV,
author = {Manhardt, Fabian and Kehl, Wadim and Navab, Nassir and Tombari, Federico},
title = {Deep Model-Based 6D Pose Refinement in RGB},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Learning-based Video Motion Magnification- Oh, Tae-Hyun and Jaroensri, Ronnachai and Kim, Changil and Elgharib, Mohamed and Durand, Fr'edo and Freeman, William T. and Matusik, Wojciech
- [pdf]
[bibtex]@InProceedings{Oh_2018_ECCV,
author = {Oh, Tae-Hyun and Jaroensri, Ronnachai and Kim, Changil and Elgharib, Mohamed and Durand, Fr'edo and Freeman, William T. and Matusik, Wojciech},
title = {Learning-based Video Motion Magnification},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
DeepJDOT: Deep Joint Distribution Optimal Transport for Unsupervised Domain Adaptation- Bhushan Damodaran, Bharath and Kellenberger, Benjamin and Flamary, Remi and Tuia, Devis and Courty, Nicolas
- [pdf]
[bibtex]@InProceedings{Damodaran_2018_ECCV,
author = {Bhushan Damodaran, Bharath and Kellenberger, Benjamin and Flamary, Remi and Tuia, Devis and Courty, Nicolas},
title = {DeepJDOT: Deep Joint Distribution Optimal Transport for Unsupervised Domain Adaptation},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Pose Proposal Networks- Sekii, Taiki
- [pdf]
[bibtex]@InProceedings{Sekii_2018_ECCV,
author = {Sekii, Taiki},
title = {Pose Proposal Networks},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Deep Regionlets for Object Detection- Xu, Hongyu and Lv, Xutao and Wang, Xiaoyu and Ren, Zhou and Bodla, Navaneeth and Chellappa, Rama
- [pdf]
[bibtex]@InProceedings{Xu_2018_ECCV,
author = {Xu, Hongyu and Lv, Xutao and Wang, Xiaoyu and Ren, Zhou and Bodla, Navaneeth and Chellappa, Rama},
title = {Deep Regionlets for Object Detection},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Learning with Biased Complementary Labels- Yu, Xiyu and Liu, Tongliang and Gong, Mingming and Tao, Dacheng
- [pdf]
[bibtex]@InProceedings{Yu_2018_ECCV,
author = {Yu, Xiyu and Liu, Tongliang and Gong, Mingming and Tao, Dacheng},
title = {Learning with Biased Complementary Labels},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
BSN: Boundary Sensitive Network for Temporal Action Proposal Generation- Lin, Tianwei and Zhao, Xu and Su, Haisheng and Wang, Chongjing and Yang, Ming
- [pdf]
[bibtex]@InProceedings{Lin_2018_ECCV,
author = {Lin, Tianwei and Zhao, Xu and Su, Haisheng and Wang, Chongjing and Yang, Ming},
title = {BSN: Boundary Sensitive Network for Temporal Action Proposal Generation},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Visual Reasoning with Multi-hop Feature Modulation- Strub, Florian and Seurin, Mathieu and Perez, Ethan and de Vries, Harm and Mary, Jeremie and Preux, Philippe and CourvilleOlivier Pietquin, Aaron
- [pdf]
[bibtex]@InProceedings{Strub_2018_ECCV,
author = {Strub, Florian and Seurin, Mathieu and Perez, Ethan and de Vries, Harm and Mary, Jeremie and Preux, Philippe and CourvilleOlivier Pietquin, Aaron},
title = {Visual Reasoning with Multi-hop Feature Modulation},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Multiresolution Tree Networks for 3D Point Cloud Processing- Gadelha, Matheus and Wang, Rui and Maji, Subhransu
- [pdf]
[bibtex]@InProceedings{Gadelha_2018_ECCV,
author = {Gadelha, Matheus and Wang, Rui and Maji, Subhransu},
title = {Multiresolution Tree Networks for 3D Point Cloud Processing},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Seeing Tree Structure from Vibration- Xue, Tianfan and Wu, Jiajun and Zhang, Zhoutong and Zhang, Chengkai and Tenenbaum, Joshua B. and Freeman, William T.
- [pdf]
[bibtex]@InProceedings{Xue_2018_ECCV,
author = {Xue, Tianfan and Wu, Jiajun and Zhang, Zhoutong and Zhang, Chengkai and Tenenbaum, Joshua B. and Freeman, William T.},
title = {Seeing Tree Structure from Vibration},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
DDRNet: Depth Map Denoising and Refinement for Consumer Depth Cameras Using Cascaded CNNs- Yan, Shi and Wu, Chenglei and Wang, Lizhen and Xu, Feng and An, Liang and Guo, Kaiwen and Liu, Yebin
- [pdf]
[bibtex]@InProceedings{Yan_2018_ECCV,
author = {Yan, Shi and Wu, Chenglei and Wang, Lizhen and Xu, Feng and An, Liang and Guo, Kaiwen and Liu, Yebin},
title = {DDRNet: Depth Map Denoising and Refinement for Consumer Depth Cameras Using Cascaded CNNs},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Probabilistic Video Generation using Holistic Attribute Control- He, Jiawei and Lehrmann, Andreas and Marino, Joseph and Mori, Greg and Sigal, Leonid
- [pdf]
[bibtex]@InProceedings{He_2018_ECCV,
author = {He, Jiawei and Lehrmann, Andreas and Marino, Joseph and Mori, Greg and Sigal, Leonid},
title = {Probabilistic Video Generation using Holistic Attribute Control},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Video Re-localization- Feng, Yang and Ma, Lin and Liu, Wei and Zhang, Tong and Luo, Jiebo
- [pdf]
[bibtex]@InProceedings{Feng_2018_ECCV,
author = {Feng, Yang and Ma, Lin and Liu, Wei and Zhang, Tong and Luo, Jiebo},
title = {Video Re-localization},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Adversarial Open-World Person Re-Identification- Li, Xiang and Wu, Ancong and Zheng, Wei-Shi
- [pdf]
[bibtex]@InProceedings{Li_2018_ECCV,
author = {Li, Xiang and Wu, Ancong and Zheng, Wei-Shi},
title = {Adversarial Open-World Person Re-Identification},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Geometric Constrained Joint Lane Segmentation and Lane Boundary Detection- Zhang, Jie and Xu, Yi and Ni, Bingbing and Duan, Zhenyu
- [pdf]
[bibtex]@InProceedings{Zhang_2018_ECCV,
author = {Zhang, Jie and Xu, Yi and Ni, Bingbing and Duan, Zhenyu},
title = {Geometric Constrained Joint Lane Segmentation and Lane Boundary Detection},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
A Geometric Perspective on Structured Light Coding- Gupta, Mohit and Nakhate, Nikhil
- [pdf]
[bibtex]@InProceedings{Gupta_2018_ECCV,
author = {Gupta, Mohit and Nakhate, Nikhil},
title = {A Geometric Perspective on Structured Light Coding},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Modular Generative Adversarial Networks- Zhao, Bo and Chang, Bo and Jie, Zequn and Sigal, Leonid
- [pdf]
[bibtex]@InProceedings{Zhao_2018_ECCV,
author = {Zhao, Bo and Chang, Bo and Jie, Zequn and Sigal, Leonid},
title = {Modular Generative Adversarial Networks},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
SRFeat: Single Image Super-Resolution with Feature Discrimination- Park, Seong-Jin and Son, Hyeongseok and Cho, Sunghyun and Hong, Ki-Sang and Lee, Seungyong
- [pdf]
[bibtex]@InProceedings{Park_2018_ECCV,
author = {Park, Seong-Jin and Son, Hyeongseok and Cho, Sunghyun and Hong, Ki-Sang and Lee, Seungyong},
title = {SRFeat: Single Image Super-Resolution with Feature Discrimination},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Skeleton-Based Action Recognition with Spatial Reasoning and Temporal Stack Learning- Si, Chenyang and Jing, Ya and Wang, Wei and Wang, Liang and Tan, Tieniu
- [pdf]
[bibtex]@InProceedings{Si_2018_ECCV,
author = {Si, Chenyang and Jing, Ya and Wang, Wei and Wang, Liang and Tan, Tieniu},
title = {Skeleton-Based Action Recognition with Spatial Reasoning and Temporal Stack Learning},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Self-produced Guidance for Weakly-supervised Object Localization- Zhang, Xiaolin and Wei, Yunchao and Kang, Guoliang and Yang, Yi and Huang, Thomas
- [pdf]
[bibtex]@InProceedings{Zhang_2018_ECCV,
author = {Zhang, Xiaolin and Wei, Yunchao and Kang, Guoliang and Yang, Yi and Huang, Thomas},
title = {Self-produced Guidance for Weakly-supervised Object Localization},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Self-Calibration of Cameras with Euclidean Image Plane in Case of Two Views and Known Relative Rotation Angle- Martyushev, Evgeniy
- [pdf]
[bibtex]@InProceedings{Martyushev_2018_ECCV,
author = {Martyushev, Evgeniy},
title = {Self-Calibration of Cameras with Euclidean Image Plane in Case of Two Views and Known Relative Rotation Angle},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
RIDI: Robust IMU Double Integration- Yan, Hang and Shan, Qi and Furukawa, Yasutaka
- [pdf]
[bibtex]@InProceedings{Yan_2018_ECCV,
author = {Yan, Hang and Shan, Qi and Furukawa, Yasutaka},
title = {RIDI: Robust IMU Double Integration},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Learning Monocular Depth by Distilling Cross-domain Stereo Networks- Guo, Xiaoyang and Li, Hongsheng and Yi, Shuai and Ren, Jimmy and Wang, Xiaogang
- [pdf]
[bibtex]@InProceedings{Guo_2018_ECCV,
author = {Guo, Xiaoyang and Li, Hongsheng and Yi, Shuai and Ren, Jimmy and Wang, Xiaogang},
title = {Learning Monocular Depth by Distilling Cross-domain Stereo Networks},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Fully Motion-Aware Network for Video Object Detection- Wang, Shiyao and Zhou, Yucong and Yan, Junjie and Deng, Zhidong
- [pdf]
[bibtex]@InProceedings{Wang_2018_ECCV,
author = {Wang, Shiyao and Zhou, Yucong and Yan, Junjie and Deng, Zhidong},
title = {Fully Motion-Aware Network for Video Object Detection},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
GridFace: Face Rectification via Learning Local Homography Transformations- Zhou, Erjin and Cao, Zhimin and Sun, Jian
- [pdf]
[bibtex]@InProceedings{Zhou_2018_ECCV,
author = {Zhou, Erjin and Cao, Zhimin and Sun, Jian},
title = {GridFace: Face Rectification via Learning Local Homography Transformations},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Deep Feature Pyramid Reconfiguration for Object Detection- Kong, Tao and Sun, Fuchun and Tan, Chuanqi and Liu, Huaping and Huang, Wenbing
- [pdf]
[bibtex]@InProceedings{Kong_2018_ECCV,
author = {Kong, Tao and Sun, Fuchun and Tan, Chuanqi and Liu, Huaping and Huang, Wenbing},
title = {Deep Feature Pyramid Reconfiguration for Object Detection},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Does Haze Removal Help CNN-based Image Classification?- Pei, Yanting and Huang, Yaping and Zou, Qi and Lu, Yuhang and Wang, Song
- [pdf]
[bibtex]@InProceedings{Pei_2018_ECCV,
author = {Pei, Yanting and Huang, Yaping and Zou, Qi and Lu, Yuhang and Wang, Song},
title = {Does Haze Removal Help CNN-based Image Classification?},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Multi-modal Cycle-consistent Generalized Zero-Shot Learning- Felix, Rafael and Kumar, Vijay B. G. and Reid, Ian and Carneiro, Gustavo
- [pdf]
[bibtex]@InProceedings{Felix_2018_ECCV,
author = {Felix, Rafael and Kumar, Vijay B. G. and Reid, Ian and Carneiro, Gustavo},
title = {Multi-modal Cycle-consistent Generalized Zero-Shot Learning},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
YouTube-VOS: Sequence-to-Sequence Video Object Segmentation- Xu, Ning and Yang, Linjie and Fan, Yuchen and Yang, Jianchao and Yue, Dingcheng and Liang, Yuchen and Price, Brian and Cohen, Scott and Huang, Thomas
- [pdf]
[bibtex]@InProceedings{Xu_2018_ECCV,
author = {Xu, Ning and Yang, Linjie and Fan, Yuchen and Yang, Jianchao and Yue, Dingcheng and Liang, Yuchen and Price, Brian and Cohen, Scott and Huang, Thomas},
title = {YouTube-VOS: Sequence-to-Sequence Video Object Segmentation},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Generalizing A Person Retrieval Model Hetero- and Homogeneously- Zhong, Zhun and Zheng, Liang and Li, Shaozi and Yang, Yi
- [pdf]
[bibtex]@InProceedings{Zhong_2018_ECCV,
author = {Zhong, Zhun and Zheng, Liang and Li, Shaozi and Yang, Yi},
title = {Generalizing A Person Retrieval Model Hetero- and Homogeneously},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
DYAN: A Dynamical Atoms-Based Network For Video Prediction- Liu, Wenqian and Sharma, Abhishek and Camps, Octavia and Sznaier, Mario
- [pdf]
[bibtex]@InProceedings{Liu_2018_ECCV,
author = {Liu, Wenqian and Sharma, Abhishek and Camps, Octavia and Sznaier, Mario},
title = {DYAN: A Dynamical Atoms-Based Network For Video Prediction},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
3DMV: Joint 3D-Multi-View Prediction for 3D Semantic Scene Segmentation- Dai, Angela and Niessner, Matthias
- [pdf]
[bibtex]@InProceedings{Dai_2018_ECCV,
author = {Dai, Angela and Niessner, Matthias},
title = {3DMV: Joint 3D-Multi-View Prediction for 3D Semantic Scene Segmentation},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
WildDash - Creating Hazard-Aware Benchmarks- Zendel, Oliver and Honauer, Katrin and Murschitz, Markus and Steininger, Daniel and Fernandez Dominguez, Gustavo
- [pdf]
[bibtex]@InProceedings{Zendel_2018_ECCV,
author = {Zendel, Oliver and Honauer, Katrin and Murschitz, Markus and Steininger, Daniel and Fernandez Dominguez, Gustavo},
title = {WildDash - Creating Hazard-Aware Benchmarks},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Adaptively Transforming Graph Matching- Wang, Fudong and Xue, Nan and Zhang, Yipeng and Bai, Xiang and Xia, Gui-Song
- [pdf]
[bibtex]@InProceedings{Wang_2018_ECCV,
author = {Wang, Fudong and Xue, Nan and Zhang, Yipeng and Bai, Xiang and Xia, Gui-Song},
title = {Adaptively Transforming Graph Matching},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Learning to Look around Objects for Top-View Representations of Outdoor Scenes- Schulter, Samuel and Zhai, Menghua and Jacobs, Nathan and Chandraker, Manmohan
- [pdf]
[bibtex]@InProceedings{Schulter_2018_ECCV,
author = {Schulter, Samuel and Zhai, Menghua and Jacobs, Nathan and Chandraker, Manmohan},
title = {Learning to Look around Objects for Top-View Representations of Outdoor Scenes},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Visual Psychophysics for Making Face Recognition Algorithms More Explainable- RichardWebster, Brandon and Yon Kwon, So and Clarizio, Christopher and Anthony, Samuel E. and Scheirer, Walter J.
- [pdf]
[bibtex]@InProceedings{RichardWebster_2018_ECCV,
author = {RichardWebster, Brandon and Yon Kwon, So and Clarizio, Christopher and Anthony, Samuel E. and Scheirer, Walter J.},
title = {Visual Psychophysics for Making Face Recognition Algorithms More Explainable},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Eigendecomposition-free Training of Deep Networks with Zero Eigenvalue-based Losses- Dang, Zheng and Moo Yi, Kwang and Hu, Yinlin and Wang, Fei and Fua, Pascal and Salzmann, Mathieu
- [pdf]
[bibtex]@InProceedings{Dang_2018_ECCV,
author = {Dang, Zheng and Moo Yi, Kwang and Hu, Yinlin and Wang, Fei and Fua, Pascal and Salzmann, Mathieu},
title = {Eigendecomposition-free Training of Deep Networks with Zero Eigenvalue-based Losses},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Deep Domain Generalization via Conditional Invariant Adversarial Networks- Li, Ya and Tian, Xinmei and Gong, Mingming and Liu, Yajing and Liu, Tongliang and Zhang, Kun and Tao, Dacheng
- [pdf]
[bibtex]@InProceedings{Li_2018_ECCV,
author = {Li, Ya and Tian, Xinmei and Gong, Mingming and Liu, Yajing and Liu, Tongliang and Zhang, Kun and Tao, Dacheng},
title = {Deep Domain Generalization via Conditional Invariant Adversarial Networks},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Local Spectral Graph Convolution for Point Set Feature Learning- Wang, Chu and Samari, Babak and Siddiqi, Kaleem
- [pdf]
[bibtex]@InProceedings{Wang_2018_ECCV,
author = {Wang, Chu and Samari, Babak and Siddiqi, Kaleem},
title = {Local Spectral Graph Convolution for Point Set Feature Learning},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Fighting Fake News: Image Splice Detection via Learned Self-Consistency- Huh, Minyoung and Liu, Andrew and Owens, Andrew and Efros, Alexei A.
- [pdf]
[bibtex]@InProceedings{Huh_2018_ECCV,
author = {Huh, Minyoung and Liu, Andrew and Owens, Andrew and Efros, Alexei A.},
title = {Fighting Fake News: Image Splice Detection via Learned Self-Consistency},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Receptive Field Block Net for Accurate and Fast Object Detection- Liu, Songtao and Huang, Di and Wang, andYunhong
- [pdf]
[bibtex]@InProceedings{Liu_2018_ECCV,
author = {Liu, Songtao and Huang, Di and Wang, andYunhong},
title = {Receptive Field Block Net for Accurate and Fast Object Detection},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Dual-Agent Deep Reinforcement Learning for Deformable Face Tracking- Guo, Minghao and Lu, Jiwen and Zhou, Jie
- [pdf]
[bibtex]@InProceedings{Guo_2018_ECCV,
author = {Guo, Minghao and Lu, Jiwen and Zhou, Jie},
title = {Dual-Agent Deep Reinforcement Learning for Deformable Face Tracking},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Online Multi-Object Tracking with Dual Matching Attention Networks- Zhu, Ji and Yang, Hua and Liu, Nian and Kim, Minyoung and Zhang, Wenjun and Yang, Ming-Hsuan
- [pdf]
[bibtex]@InProceedings{Zhu_2018_ECCV,
author = {Zhu, Ji and Yang, Hua and Liu, Nian and Kim, Minyoung and Zhang, Wenjun and Yang, Ming-Hsuan},
title = {Online Multi-Object Tracking with Dual Matching Attention Networks},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Simultaneous Edge Alignment and Learning- Yu, Zhiding and Liu, Weiyang and Zou, Yang and Feng, Chen and Ramalingam, Srikumar and Vijaya Kumar, B. V. K. and Kautz, Jan
- [pdf]
[bibtex]@InProceedings{Yu_2018_ECCV,
author = {Yu, Zhiding and Liu, Weiyang and Zou, Yang and Feng, Chen and Ramalingam, Srikumar and Vijaya Kumar, B. V. K. and Kautz, Jan},
title = {Simultaneous Edge Alignment and Learning},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Weakly-supervised Video Summarization using Variational Encoder-Decoder and Web Prior- Cai, Sijia and Zuo, Wangmeng and Davis, Larry S. and Zhang, Lei
- [pdf]
[bibtex]@InProceedings{Cai_2018_ECCV,
author = {Cai, Sijia and Zuo, Wangmeng and Davis, Larry S. and Zhang, Lei},
title = {Weakly-supervised Video Summarization using Variational Encoder-Decoder and Web Prior},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Toward Scale-Invariance and Position-Sensitive Region Proposal Networks- Lu, Hsueh-Fu and Du, Xiaofei and Chang, Ping-Lin
- [pdf]
[bibtex]@InProceedings{Lu_2018_ECCV,
author = {Lu, Hsueh-Fu and Du, Xiaofei and Chang, Ping-Lin},
title = {Toward Scale-Invariance and Position-Sensitive Region Proposal Networks},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Visual Question Answering as a Meta Learning Task- Teney, Damien and van den Hengel, Anton
- [pdf]
[bibtex]@InProceedings{Teney_2018_ECCV,
author = {Teney, Damien and van den Hengel, Anton},
title = {Visual Question Answering as a Meta Learning Task},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Generative Semantic Manipulation with Mask-Contrasting GAN- Liang, Xiaodan and Zhang, Hao and Lin, Liang and Xing, Eric
- [pdf]
[bibtex]@InProceedings{Liang_2018_ECCV,
author = {Liang, Xiaodan and Zhang, Hao and Lin, Liang and Xing, Eric},
title = {Generative Semantic Manipulation with Mask-Contrasting GAN},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
End-to-End Learning of Driving Models with Surround-View Cameras and Route Planners- Hecker, Simon and Dai, Dengxin and Van Gool, Luc
- [pdf]
[bibtex]@InProceedings{Hecker_2018_ECCV,
author = {Hecker, Simon and Dai, Dengxin and Van Gool, Luc},
title = {End-to-End Learning of Driving Models with Surround-View Cameras and Route Planners},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Deep High Dynamic Range Imaging with Large Foreground Motions- Wu, Shangzhe and Xu, Jiarui and Tai, Yu-Wing and Tang, Chi-Keung
- [pdf]
[bibtex]@InProceedings{Wu_2018_ECCV,
author = {Wu, Shangzhe and Xu, Jiarui and Tai, Yu-Wing and Tang, Chi-Keung},
title = {Deep High Dynamic Range Imaging with Large Foreground Motions},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Hierarchical Relational Networks for Group Activity Recognition and Retrieval- Ibrahim, Mostafa S. and Mori, Greg
- [pdf]
[bibtex]@InProceedings{Ibrahim_2018_ECCV,
author = {Ibrahim, Mostafa S. and Mori, Greg},
title = {Hierarchical Relational Networks for Group Activity Recognition and Retrieval},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
GeoDesc: Learning Local Descriptors by Integrating Geometry Constraints- Luo, Zixin and Shen, Tianwei and Zhou, Lei and Zhu, Siyu and Zhang, Runze and Yao, Yao and Fang, Tian and Quan, Long
- [pdf]
[bibtex]@InProceedings{Luo_2018_ECCV,
author = {Luo, Zixin and Shen, Tianwei and Zhou, Lei and Zhu, Siyu and Zhang, Runze and Yao, Yao and Fang, Tian and Quan, Long},
title = {GeoDesc: Learning Local Descriptors by Integrating Geometry Constraints},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
SDC-Net: Video prediction using spatially-displaced convolution- Reda, Fitsum A. and Liu, Guilin and Shih, Kevin J. and Kirby, Robert and Barker, Jon and Tarjan, David and Tao, Andrew and Catanzaro, Bryan
- [pdf]
[bibtex]@InProceedings{Reda_2018_ECCV,
author = {Reda, Fitsum A. and Liu, Guilin and Shih, Kevin J. and Kirby, Robert and Barker, Jon and Tarjan, David and Tao, Andrew and Catanzaro, Bryan},
title = {SDC-Net: Video prediction using spatially-displaced convolution},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Efficient Sliding Window Computation for NN-Based Template Matching- Talker, Lior and Moses, Yael and Shimshoni, Ilan
- [pdf]
[bibtex]@InProceedings{Talker_2018_ECCV,
author = {Talker, Lior and Moses, Yael and Shimshoni, Ilan},
title = {Efficient Sliding Window Computation for NN-Based Template Matching},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
RefocusGAN: Scene Refocusing using a Single Image- Sakurikar, Parikshit and Mehta, Ishit and Balasubramanian, Vineeth N. and Narayanan, P. J.
- [pdf]
[bibtex]@InProceedings{Sakurikar_2018_ECCV,
author = {Sakurikar, Parikshit and Mehta, Ishit and Balasubramanian, Vineeth N. and Narayanan, P. J.},
title = {RefocusGAN: Scene Refocusing using a Single Image},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Action Search: Spotting Actions in Videos and Its Application to Temporal Action Localization- Alwassel, Humam and Caba Heilbron, Fabian and Ghanem, Bernard
- [pdf]
[bibtex]@InProceedings{Alwassel_2018_ECCV,
author = {Alwassel, Humam and Caba Heilbron, Fabian and Ghanem, Bernard},
title = {Action Search: Spotting Actions in Videos and Its Application to Temporal Action Localization},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Joint Blind Motion Deblurring and Depth Estimation of Light Field- Lee, Dongwoo and Park, Haesol and Kyu Park, In and Mu Lee, Kyoung
- [pdf]
[bibtex]@InProceedings{Lee_2018_ECCV,
author = {Lee, Dongwoo and Park, Haesol and Kyu Park, In and Mu Lee, Kyoung},
title = {Joint Blind Motion Deblurring and Depth Estimation of Light Field},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Mutual Learning to Adapt for Joint Human Parsing and Pose Estimation- Nie, Xuecheng and Feng, Jiashi and Yan, Shuicheng
- [pdf]
[bibtex]@InProceedings{Nie_2018_ECCV,
author = {Nie, Xuecheng and Feng, Jiashi and Yan, Shuicheng},
title = {Mutual Learning to Adapt for Joint Human Parsing and Pose Estimation},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
DOCK: Detecting Objects by transferring Common-sense Knowledge- Kumar Singh, Krishna and Divvala, Santosh and Farhadi, Ali and Jae Lee, Yong
- [pdf]
[bibtex]@InProceedings{Singh_2018_ECCV,
author = {Kumar Singh, Krishna and Divvala, Santosh and Farhadi, Ali and Jae Lee, Yong},
title = {DOCK: Detecting Objects by transferring Common-sense Knowledge},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Simple Baselines for Human Pose Estimation and Tracking- Xiao, Bin and Wu, Haiping and Wei, Yichen
- [pdf]
[bibtex]@InProceedings{Xiao_2018_ECCV,
author = {Xiao, Bin and Wu, Haiping and Wei, Yichen},
title = {Simple Baselines for Human Pose Estimation and Tracking},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
PM-GANs: Discriminative Representation Learning for Action Recognition Using Partial-modalities- Wang, Lan and Gao, Chenqiang and Yang, Luyu and Zhao, Yue and Zuo, Wangmeng and Meng, Deyu
- [pdf]
[bibtex]@InProceedings{Wang_2018_ECCV,
author = {Wang, Lan and Gao, Chenqiang and Yang, Luyu and Zhao, Yue and Zuo, Wangmeng and Meng, Deyu},
title = {PM-GANs: Discriminative Representation Learning for Action Recognition Using Partial-modalities},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
CAR-Net: Clairvoyant Attentive Recurrent Network- Sadeghian, Amir and Legros, Ferdinand and Voisin, Maxime and Vesel, Ricky and Alahi, Alexandre and Savarese, Silvio
- [pdf]
[bibtex]@InProceedings{Sadeghian_2018_ECCV,
author = {Sadeghian, Amir and Legros, Ferdinand and Voisin, Maxime and Vesel, Ricky and Alahi, Alexandre and Savarese, Silvio},
title = {CAR-Net: Clairvoyant Attentive Recurrent Network},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Dynamic Filtering with Large Sampling Field for ConvNets- Wu, Jialin and Li, Dai and Yang, Yu and Bajaj, Chandrajit and Ji, Xiangyang
- [pdf]
[bibtex]@InProceedings{Wu_2018_ECCV,
author = {Wu, Jialin and Li, Dai and Yang, Yu and Bajaj, Chandrajit and Ji, Xiangyang},
title = {Dynamic Filtering with Large Sampling Field for ConvNets},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Learning Category-Specific Mesh Reconstruction from Image Collections- Kanazawa, Angjoo and Tulsiani, Shubham and Efros, Alexei A. and Malik, Jitendra
- [pdf]
[bibtex]@InProceedings{Kanazawa_2018_ECCV,
author = {Kanazawa, Angjoo and Tulsiani, Shubham and Efros, Alexei A. and Malik, Jitendra},
title = {Learning Category-Specific Mesh Reconstruction from Image Collections},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Clustering Convolutional Kernels to Compress Deep Neural Networks- Son, Sanghyun and Nah, Seungjun and Mu Lee, Kyoung
- [pdf]
[bibtex]@InProceedings{Son_2018_ECCV,
author = {Son, Sanghyun and Nah, Seungjun and Mu Lee, Kyoung},
title = {Clustering Convolutional Kernels to Compress Deep Neural Networks},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
CornerNet: Detecting Objects as Paired Keypoints- Law, Hei and Deng, Jia
- [pdf]
[bibtex]@InProceedings{Law_2018_ECCV,
author = {Law, Hei and Deng, Jia},
title = {CornerNet: Detecting Objects as Paired Keypoints},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Efficient Dense Point Cloud Object Reconstruction using Deformation Vector Fields- Li, Kejie and Pham, Trung and Zhan, Huangying and Reid, Ian
- [pdf]
[bibtex]@InProceedings{Li_2018_ECCV,
author = {Li, Kejie and Pham, Trung and Zhan, Huangying and Reid, Ian},
title = {Efficient Dense Point Cloud Object Reconstruction using Deformation Vector Fields},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Choose Your Neuron: Incorporating Domain Knowledge through Neuron-Importance- Selvaraju, Ramprasaath R. and Chattopadhyay, Prithvijit and Elhoseiny, Mohamed and Sharma, Tilak and Batra, Dhruv and Parikh, Devi and Lee, Stefan
- [pdf]
[bibtex]@InProceedings{Selvaraju_2018_ECCV,
author = {Selvaraju, Ramprasaath R. and Chattopadhyay, Prithvijit and Elhoseiny, Mohamed and Sharma, Tilak and Batra, Dhruv and Parikh, Devi and Lee, Stefan},
title = {Choose Your Neuron: Incorporating Domain Knowledge through Neuron-Importance},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Hashing with Binary Matrix Pursuit- Cakir, Fatih and He, Kun and Sclaroff, Stan
- [pdf]
[bibtex]@InProceedings{Cakir_2018_ECCV,
author = {Cakir, Fatih and He, Kun and Sclaroff, Stan},
title = {Hashing with Binary Matrix Pursuit},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Recognition in Terra Incognita- Beery, Sara and Van Horn, Grant and Perona, Pietro
- [pdf]
[bibtex]@InProceedings{Beery_2018_ECCV,
author = {Beery, Sara and Van Horn, Grant and Perona, Pietro},
title = {Recognition in Terra Incognita},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Fast and Accurate Intrinsic Symmetry Detection- Nagar, Rajendra and Raman, Shanmuganathan
- [pdf]
[bibtex]@InProceedings{Nagar_2018_ECCV,
author = {Nagar, Rajendra and Raman, Shanmuganathan},
title = {Fast and Accurate Intrinsic Symmetry Detection},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Massively Parallel Video Networks- Carreira, Joao and Patraucean, Viorica and Mazare, Laurent and Zisserman, Andrew and Osindero, Simon
- [pdf]
[bibtex]@InProceedings{Carreira_2018_ECCV,
author = {Carreira, Joao and Patraucean, Viorica and Mazare, Laurent and Zisserman, Andrew and Osindero, Simon},
title = {Massively Parallel Video Networks},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
ExFuse: Enhancing Feature Fusion for Semantic Segmentation- Zhang, Zhenli and Zhang, Xiangyu and Peng, Chao and Xue, Xiangyang and Sun, Jian
- [pdf]
[bibtex]@InProceedings{Zhang_2018_ECCV,
author = {Zhang, Zhenli and Zhang, Xiangyu and Peng, Chao and Xue, Xiangyang and Sun, Jian},
title = {ExFuse: Enhancing Feature Fusion for Semantic Segmentation},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Collaborative Deep Reinforcement Learning for Multi-Object Tracking- Ren, Liangliang and Lu, Jiwen and Wang, Zifeng and Tian, Qi and Zhou, Jie
- [pdf]
[bibtex]@InProceedings{Ren_2018_ECCV,
author = {Ren, Liangliang and Lu, Jiwen and Wang, Zifeng and Tian, Qi and Zhou, Jie},
title = {Collaborative Deep Reinforcement Learning for Multi-Object Tracking},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Deep Variational Metric Learning- Lin, Xudong and Duan, Yueqi and Dong, Qiyuan and Lu, Jiwen and Zhou, Jie
- [pdf]
[bibtex]@InProceedings{Lin_2018_ECCV,
author = {Lin, Xudong and Duan, Yueqi and Dong, Qiyuan and Lu, Jiwen and Zhou, Jie},
title = {Deep Variational Metric Learning},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
MVTec D2S: Densely Segmented Supermarket Dataset- Follmann, Patrick and Bottger, Tobias and Hartinger, Philipp and Konig, Rebecca and Ulrich, Markus
- [pdf]
[bibtex]@InProceedings{Follmann_2018_ECCV,
author = {Follmann, Patrick and Bottger, Tobias and Hartinger, Philipp and Konig, Rebecca and Ulrich, Markus},
title = {MVTec D2S: Densely Segmented Supermarket Dataset},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Robust fitting in computer vision: easy or hard?- Chin, Tat-Jun and Cai, Zhipeng and Neumann, Frank
- [pdf]
[bibtex]@InProceedings{Chin_2018_ECCV,
author = {Chin, Tat-Jun and Cai, Zhipeng and Neumann, Frank},
title = {Robust fitting in computer vision: easy or hard?},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Visual Question Generation for Class Acquisition of Unknown Objects- Uehara, Kohei and Tejero-De-Pablos, Antonio and Ushiku, Yoshitaka and Harada, Tatsuya
- [pdf]
[bibtex]@InProceedings{Uehara_2018_ECCV,
author = {Uehara, Kohei and Tejero-De-Pablos, Antonio and Ushiku, Yoshitaka and Harada, Tatsuya},
title = {Visual Question Generation for Class Acquisition of Unknown Objects},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Image Manipulation with Perceptual Discriminators- Sungatullina, Diana and Zakharov, Egor and Ulyanov, Dmitry and Lempitsky, Victor
- [pdf]
[bibtex]@InProceedings{Sungatullina_2018_ECCV,
author = {Sungatullina, Diana and Zakharov, Egor and Ulyanov, Dmitry and Lempitsky, Victor},
title = {Image Manipulation with Perceptual Discriminators},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Pairwise Confusion for Fine-Grained Visual Classification- Dubey, Abhimanyu and Gupta, Otkrist and Guo, Pei and Raskar, Ramesh and Farrell, Ryan and Naik, Nikhil
- [pdf]
[bibtex]@InProceedings{Dubey_2018_ECCV,
author = {Dubey, Abhimanyu and Gupta, Otkrist and Guo, Pei and Raskar, Ramesh and Farrell, Ryan and Naik, Nikhil},
title = {Pairwise Confusion for Fine-Grained Visual Classification},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Combining 3D Model Contour Energy and Keypoints for Object Tracking- Bugaev, Bogdan and Kryshchenko, Anton and Belov, Roman
- [pdf]
[bibtex]@InProceedings{Bugaev_2018_ECCV,
author = {Bugaev, Bogdan and Kryshchenko, Anton and Belov, Roman},
title = {Combining 3D Model Contour Energy and Keypoints for Object Tracking},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Quadtree Convolutional Neural Networks- Kumar Jayaraman, Pradeep and Mei, Jianhan and Cai, Jianfei and Zheng, Jianmin
- [pdf]
[bibtex]@InProceedings{Jayaraman_2018_ECCV,
author = {Kumar Jayaraman, Pradeep and Mei, Jianhan and Cai, Jianfei and Zheng, Jianmin},
title = {Quadtree Convolutional Neural Networks},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Deep Recursive HDRI: Inverse Tone Mapping using Generative Adversarial Networks- Lee, Siyeong and Hwan An, Gwon and Kang, Suk-Ju
- [pdf]
[bibtex]@InProceedings{Lee_2018_ECCV,
author = {Lee, Siyeong and Hwan An, Gwon and Kang, Suk-Ju},
title = {Deep Recursive HDRI: Inverse Tone Mapping using Generative Adversarial Networks},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Open Set Learning with Counterfactual Images- Neal, Lawrence and Olson, Matthew and Fern, Xiaoli and Wong, Weng-Keen and Li, Fuxin
- [pdf]
[bibtex]@InProceedings{Neal_2018_ECCV,
author = {Neal, Lawrence and Olson, Matthew and Fern, Xiaoli and Wong, Weng-Keen and Li, Fuxin},
title = {Open Set Learning with Counterfactual Images},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Implicit 3D Orientation Learning for 6D Object Detection from RGB Images- Sundermeyer, Martin and Marton, Zoltan-Csaba and Durner, Maximilian and Brucker, Manuel and Triebel, Rudolph
- [pdf]
[bibtex]@InProceedings{Sundermeyer_2018_ECCV,
author = {Sundermeyer, Martin and Marton, Zoltan-Csaba and Durner, Maximilian and Brucker, Manuel and Triebel, Rudolph},
title = {Implicit 3D Orientation Learning for 6D Object Detection from RGB Images},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Compressing the Input for CNNs with the First-Order Scattering Transform- Oyallon, Edouard and Belilovsky, Eugene and Zagoruyko, Sergey and Valko, Michal
- [pdf]
[bibtex]@InProceedings{Oyallon_2018_ECCV,
author = {Oyallon, Edouard and Belilovsky, Eugene and Zagoruyko, Sergey and Valko, Michal},
title = {Compressing the Input for CNNs with the First-Order Scattering Transform},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Part-Aligned Bilinear Representations for Person Re-Identification- Suh, Yumin and Wang, Jingdong and Tang, Siyu and Mei, Tao and Mu Lee, Kyoung
- [pdf]
[bibtex]@InProceedings{Suh_2018_ECCV,
author = {Suh, Yumin and Wang, Jingdong and Tang, Siyu and Mei, Tao and Mu Lee, Kyoung},
title = {Part-Aligned Bilinear Representations for Person Re-Identification},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Sidekick Policy Learning for Active Visual Exploration- Ramakrishnan, Santhosh K. and Grauman, Kristen
- [pdf]
[bibtex]@InProceedings{Ramakrishnan_2018_ECCV,
author = {Ramakrishnan, Santhosh K. and Grauman, Kristen},
title = {Sidekick Policy Learning for Active Visual Exploration},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
HGMR: Hierarchical Gaussian Mixtures for Adaptive 3D Registration- Eckart, B. and Kim, K. and Kautz, J.
- [pdf]
[bibtex]@InProceedings{Eckart_2018_ECCV,
author = {Eckart, B. and Kim, K. and Kautz, J.},
title = {HGMR: Hierarchical Gaussian Mixtures for Adaptive 3D Registration},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Multi-Attention Multi-Class Constraint for Fine-grained Image Recognition- Sun, Ming and Yuan, Yuchen and Zhou, Feng and Ding, Errui
- [pdf]
[bibtex]@InProceedings{Sun_2018_ECCV,
author = {Sun, Ming and Yuan, Yuchen and Zhou, Feng and Ding, Errui},
title = {Multi-Attention Multi-Class Constraint for Fine-grained Image Recognition},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
From Face Recognition to Models of Identity: A Bayesian Approach to Learning about Unknown Identities from Unsupervised Data- Coelho de Castro, Daniel and Nowozin, Sebastian
- [pdf]
[bibtex]@InProceedings{Castro_2018_ECCV,
author = {Coelho de Castro, Daniel and Nowozin, Sebastian},
title = {From Face Recognition to Models of Identity: A Bayesian Approach to Learning about Unknown Identities from Unsupervised Data},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Semi-convolutional Operators for Instance Segmentation- Novotny, David and Albanie, Samuel and Larlus, Diane and Vedaldi, Andrea
- [pdf]
[bibtex]@InProceedings{Novotny_2018_ECCV,
author = {Novotny, David and Albanie, Samuel and Larlus, Diane and Vedaldi, Andrea},
title = {Semi-convolutional Operators for Instance Segmentation},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Bi-box Regression for Pedestrian Detection and Occlusion Estimation- Zhou, Chunluan and Yuan, Junsong
- [pdf]
[bibtex]@InProceedings{Zhou_2018_ECCV,
author = {Zhou, Chunluan and Yuan, Junsong},
title = {Bi-box Regression for Pedestrian Detection and Occlusion Estimation},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Learning Data Terms for Non-blind Deblurring- Dong, Jiangxin and Pan, Jinshan and Sun, Deqing and Su, Zhixun and Yang, Ming-Hsuan
- [pdf]
[bibtex]@InProceedings{Dong_2018_ECCV,
author = {Dong, Jiangxin and Pan, Jinshan and Sun, Deqing and Su, Zhixun and Yang, Ming-Hsuan},
title = {Learning Data Terms for Non-blind Deblurring},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Unified Perceptual Parsing for Scene Understanding- Xiao, Tete and Liu, Yingcheng and Zhou, Bolei and Jiang, Yuning and Sun, Jian
- [pdf]
[bibtex]@InProceedings{Xiao_2018_ECCV,
author = {Xiao, Tete and Liu, Yingcheng and Zhou, Bolei and Jiang, Yuning and Sun, Jian},
title = {Unified Perceptual Parsing for Scene Understanding},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Face Super-resolution Guided by Facial Component Heatmaps- Yu, Xin and Fernando, Basura and Ghanem, Bernard and Porikli, Fatih and Hartley, Richard
- [pdf]
[bibtex]@InProceedings{Yu_2018_ECCV,
author = {Yu, Xin and Fernando, Basura and Ghanem, Bernard and Porikli, Fatih and Hartley, Richard},
title = {Face Super-resolution Guided by Facial Component Heatmaps},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Descending, lifting or smoothing: Secrets of robust cost optimization- Zach, Christopher and Bourmaud, Guillaume
- [pdf]
[bibtex]@InProceedings{Zach_2018_ECCV,
author = {Zach, Christopher and Bourmaud, Guillaume},
title = {Descending, lifting or smoothing: Secrets of robust cost optimization},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
ExplainGAN: Model Explanation via Decision Boundary Crossing Transformations- Samangouei, Pouya and Saeedi, Ardavan and Nakagawa, Liam and Silberman, Nathan
- [pdf]
[bibtex]@InProceedings{Samangouei_2018_ECCV,
author = {Samangouei, Pouya and Saeedi, Ardavan and Nakagawa, Liam and Silberman, Nathan},
title = {ExplainGAN: Model Explanation via Decision Boundary Crossing Transformations},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
A Unified Framework for Multi-View Multi-Class Object Pose Estimation- Li, Chi and Bai, Jin and Hager, Gregory D.
- [pdf]
[bibtex]@InProceedings{Li_2018_ECCV,
author = {Li, Chi and Bai, Jin and Hager, Gregory D.},
title = {A Unified Framework for Multi-View Multi-Class Object Pose Estimation},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Spatio-Temporal Channel Correlation Networks for Action Classification- Diba, Ali and Fayyaz, Mohsen and Sharma, Vivek and Mahdi Arzani, M. and Yousefzadeh, Rahman and Gall, Juergen and Van Gool, Luc
- [pdf]
[bibtex]@InProceedings{Diba_2018_ECCV,
author = {Diba, Ali and Fayyaz, Mohsen and Sharma, Vivek and Mahdi Arzani, M. and Yousefzadeh, Rahman and Gall, Juergen and Van Gool, Luc},
title = {Spatio-Temporal Channel Correlation Networks for Action Classification},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Learning to Reconstruct High-quality 3D Shapes with Cascaded Fully Convolutional Networks- Cao, Yan-Pei and Liu, Zheng-Ning and Kuang, Zheng-Fei and Kobbelt, Leif and Hu, Shi-Min
- [pdf]
[bibtex]@InProceedings{Cao_2018_ECCV,
author = {Cao, Yan-Pei and Liu, Zheng-Ning and Kuang, Zheng-Fei and Kobbelt, Leif and Hu, Shi-Min},
title = {Learning to Reconstruct High-quality 3D Shapes with Cascaded Fully Convolutional Networks},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Characterizing Adversarial Examples Based on Spatial Consistency Information for Semantic Segmentation- Xiao, Chaowei and Deng, Ruizhi and Li, Bo and Yu, Fisher and Liu, Mingyan and Song, Dawn
- [pdf]
[bibtex]@InProceedings{Xiao_2018_ECCV,
author = {Xiao, Chaowei and Deng, Ruizhi and Li, Bo and Yu, Fisher and Liu, Mingyan and Song, Dawn},
title = {Characterizing Adversarial Examples Based on Spatial Consistency Information for Semantic Segmentation},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Deep Bilinear Learning for RGB-D Action Recognition- Hu, Jian-Fang and Zheng, Wei-Shi and Pan, Jiahui and Lai, Jianhuang and Zhang, Jianguo
- [pdf]
[bibtex]@InProceedings{Hu_2018_ECCV,
author = {Hu, Jian-Fang and Zheng, Wei-Shi and Pan, Jiahui and Lai, Jianhuang and Zhang, Jianguo},
title = {Deep Bilinear Learning for RGB-D Action Recognition},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Coded Two-Bucket Cameras for Computer Vision- Wei, Mian and Sarhangnejad, Navid and Xia, Zhengfan and Gusev, Nikita and Katic, Nikola and Genov, Roman and Kutulakos, Kiriakos N.
- [pdf]
[bibtex]@InProceedings{Wei_2018_ECCV,
author = {Wei, Mian and Sarhangnejad, Navid and Xia, Zhengfan and Gusev, Nikita and Katic, Nikola and Genov, Roman and Kutulakos, Kiriakos N.},
title = {Coded Two-Bucket Cameras for Computer Vision},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Few-Shot Human Motion Prediction via Meta-Learning- Gui, Liang-Yan and Wang, Yu-Xiong and Ramanan, Deva and Moura, Jose M. F.
- [pdf]
[bibtex]@InProceedings{Gui_2018_ECCV,
author = {Gui, Liang-Yan and Wang, Yu-Xiong and Ramanan, Deva and Moura, Jose M. F.},
title = {Few-Shot Human Motion Prediction via Meta-Learning},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Recycle-GAN: Unsupervised Video Retargeting- Bansal, Aayush and Ma, Shugao and Ramanan, Deva and Sheikh, Yaser
- [pdf]
[bibtex]@InProceedings{Bansal_2018_ECCV,
author = {Bansal, Aayush and Ma, Shugao and Ramanan, Deva and Sheikh, Yaser},
title = {Recycle-GAN: Unsupervised Video Retargeting},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Two at Once: Enhancing Learning and Generalization Capacities via IBN-Net- Pan, Xingang and Luo, Ping and Shi, Jianping and Tang, Xiaoou
- [pdf]
[bibtex]@InProceedings{Pan_2018_ECCV,
author = {Pan, Xingang and Luo, Ping and Shi, Jianping and Tang, Xiaoou},
title = {Two at Once: Enhancing Learning and Generalization Capacities via IBN-Net},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Learning Shape Priors for Single-View 3D Completion and Reconstruction- Wu, Jiajun and Zhang, Chengkai and Zhang, Xiuming and Zhang, Zhoutong and Freeman, William T. and Tenenbaum, Joshua B.
- [pdf]
[bibtex]@InProceedings{Wu_2018_ECCV,
author = {Wu, Jiajun and Zhang, Chengkai and Zhang, Xiuming and Zhang, Zhoutong and Freeman, William T. and Tenenbaum, Joshua B.},
title = {Learning Shape Priors for Single-View 3D Completion and Reconstruction},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Unsupervised Image-to-Image Translation with Stacked Cycle-Consistent Adversarial Networks- Li, Minjun and Huang, Haozhi and Ma, Lin and Liu, Wei and Zhang, Tong and Jiang, Yugang
- [pdf]
[bibtex]@InProceedings{Li_2018_ECCV,
author = {Li, Minjun and Huang, Haozhi and Ma, Lin and Liu, Wei and Zhang, Tong and Jiang, Yugang},
title = {Unsupervised Image-to-Image Translation with Stacked Cycle-Consistent Adversarial Networks},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Hierarchical Metric Learning and Matching for 2D and 3D Geometric Correspondences- Fathy, Mohammed E. and Tran, Quoc-Huy and Zeeshan Zia, M. and Vernaza, Paul and Chandraker, Manmohan
- [pdf]
[bibtex]@InProceedings{Fathy_2018_ECCV,
author = {Fathy, Mohammed E. and Tran, Quoc-Huy and Zeeshan Zia, M. and Vernaza, Paul and Chandraker, Manmohan},
title = {Hierarchical Metric Learning and Matching for 2D and 3D Geometric Correspondences},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
A Minimal Closed-Form Solution for Multi-Perspective Pose Estimation using Points and Lines- Miraldo, Pedro and Dias, Tiago and Ramalingam, Srikumar
- [pdf]
[bibtex]@InProceedings{Miraldo_2018_ECCV,
author = {Miraldo, Pedro and Dias, Tiago and Ramalingam, Srikumar},
title = {A Minimal Closed-Form Solution for Multi-Perspective Pose Estimation using Points and Lines},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Key-Word-Aware Network for Referring Expression Image Segmentation- Shi, Hengcan and Li, Hongliang and Meng, Fanman and Wu, Qingbo
- [pdf]
[bibtex]@InProceedings{Shi_2018_ECCV,
author = {Shi, Hengcan and Li, Hongliang and Meng, Fanman and Wu, Qingbo},
title = {Key-Word-Aware Network for Referring Expression Image Segmentation},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Dynamic Conditional Networks for Few-Shot Learning- Zhao, Fang and Zhao, Jian and Yan, Shuicheng and Feng, Jiashi
- [pdf]
[bibtex]@InProceedings{Zhao_2018_ECCV,
author = {Zhao, Fang and Zhao, Jian and Yan, Shuicheng and Feng, Jiashi},
title = {Dynamic Conditional Networks for Few-Shot Learning},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Burst Image Deblurring Using Permutation Invariant Convolutional Neural Networks- Aittala, Miika and Durand, Fredo
- [pdf]
[bibtex]@InProceedings{Aittala_2018_ECCV,
author = {Aittala, Miika and Durand, Fredo},
title = {Burst Image Deblurring Using Permutation Invariant Convolutional Neural Networks},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Learning Type-Aware Embeddings for Fashion Compatibility- Vasileva, Mariya I. and Plummer, Bryan A. and Dusad, Krishna and Rajpal, Shreya and Kumar, Ranjitha and Forsyth, David
- [pdf]
[bibtex]@InProceedings{Vasileva_2018_ECCV,
author = {Vasileva, Mariya I. and Plummer, Bryan A. and Dusad, Krishna and Rajpal, Shreya and Kumar, Ranjitha and Forsyth, David},
title = {Learning Type-Aware Embeddings for Fashion Compatibility},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Learning to Fuse Proposals from Multiple Scanline Optimizations in Semi-Global Matching- Schonberger, Johannes L. and Sinha, Sudipta N. and Pollefeys, Marc
- [pdf]
[bibtex]@InProceedings{Schonberger_2018_ECCV,
author = {Schonberger, Johannes L. and Sinha, Sudipta N. and Pollefeys, Marc},
title = {Learning to Fuse Proposals from Multiple Scanline Optimizations in Semi-Global Matching},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Dividing and Aggregating Network for Multi-view Action Recognition- Wang, Dongang and Ouyang, Wanli and Li, Wen and Xu, Dong
- [pdf]
[bibtex]@InProceedings{Wang_2018_ECCV,
author = {Wang, Dongang and Ouyang, Wanli and Li, Wen and Xu, Dong},
title = {Dividing and Aggregating Network for Multi-view Action Recognition},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Joint & Progressive Learning from High-Dimensional Data for Multi-Label Classification- Hong, Danfeng and Yokoya, Naoto and Xu, Jian and Zhu, Xiaoxiang
- [pdf]
[bibtex]@InProceedings{Hong_2018_ECCV,
author = {Hong, Danfeng and Yokoya, Naoto and Xu, Jian and Zhu, Xiaoxiang},
title = {Joint & Progressive Learning from High-Dimensional Data for Multi-Label Classification},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Image Inpainting for Irregular Holes Using Partial Convolutions- Liu, Guilin and Reda, Fitsum A. and Shih, Kevin J. and Wang, Ting-Chun and Tao, Andrew and Catanzaro, Bryan
- [pdf]
[bibtex]@InProceedings{Liu_2018_ECCV,
author = {Liu, Guilin and Reda, Fitsum A. and Shih, Kevin J. and Wang, Ting-Chun and Tao, Andrew and Catanzaro, Bryan},
title = {Image Inpainting for Irregular Holes Using Partial Convolutions},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
CPlaNet: Enhancing Image Geolocalization by Combinatorial Partitioning of Maps- Hongsuck Seo, Paul and Weyand, Tobias and Sim, Jack and Han, Bohyung
- [pdf]
[bibtex]@InProceedings{Seo_2018_ECCV,
author = {Hongsuck Seo, Paul and Weyand, Tobias and Sim, Jack and Han, Bohyung},
title = {CPlaNet: Enhancing Image Geolocalization by Combinatorial Partitioning of Maps},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation- Chen, Liang-Chieh and Zhu, Yukun and Papandreou, George and Schroff, Florian and Adam, Hartwig
- [pdf]
[bibtex]@InProceedings{Chen_2018_ECCV,
author = {Chen, Liang-Chieh and Zhu, Yukun and Papandreou, George and Schroff, Florian and Adam, Hartwig},
title = {Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Large Scale Urban Scene Modeling from MVS Meshes- Zhu, Lingjie and Shen, Shuhan and Gao, Xiang and Hu, Zhanyi
- [pdf]
[bibtex]@InProceedings{Zhu_2018_ECCV,
author = {Zhu, Lingjie and Shen, Shuhan and Gao, Xiang and Hu, Zhanyi},
title = {Large Scale Urban Scene Modeling from MVS Meshes},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Generalized Loss-Sensitive Adversarial Learning with Manifold Margins- Edraki, Marzieh and Qi, Guo-Jun
- [pdf]
[bibtex]@InProceedings{Edraki_2018_ECCV,
author = {Edraki, Marzieh and Qi, Guo-Jun},
title = {Generalized Loss-Sensitive Adversarial Learning with Manifold Margins},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Learning to Detect and Track Visible and Occluded Body Joints in a Virtual World- Fabbri, Matteo and Lanzi, Fabio and Calderara, Simone and Palazzi, Andrea and Vezzani, Roberto and Cucchiara, Rita
- [pdf]
[bibtex]@InProceedings{Fabbri_2018_ECCV,
author = {Fabbri, Matteo and Lanzi, Fabio and Calderara, Simone and Palazzi, Andrea and Vezzani, Roberto and Cucchiara, Rita},
title = {Learning to Detect and Track Visible and Occluded Body Joints in a Virtual World},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
W-TALC: Weakly-supervised Temporal Activity Localization and Classification- Paul, Sujoy and Roy, Sourya and Roy-Chowdhury, Amit K.
- [pdf]
[bibtex]@InProceedings{Paul_2018_ECCV,
author = {Paul, Sujoy and Roy, Sourya and Roy-Chowdhury, Amit K.},
title = {W-TALC: Weakly-supervised Temporal Activity Localization and Classification},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Viewpoint Estimation---Insights & Model- Divon, Gilad and Tal, Ayellet
- [pdf]
[bibtex]@InProceedings{Divon_2018_ECCV,
author = {Divon, Gilad and Tal, Ayellet},
title = {Viewpoint Estimation---Insights & Model},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Relaxation-Free Deep Hashing via Policy Gradient- Yuan, Xin and Ren, Liangliang and Lu, Jiwen and Zhou, Jie
- [pdf]
[bibtex]@InProceedings{Yuan_2018_ECCV,
author = {Yuan, Xin and Ren, Liangliang and Lu, Jiwen and Zhou, Jie},
title = {Relaxation-Free Deep Hashing via Policy Gradient},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Rolling Shutter Pose and Ego-motion Estimation using Shape-from-Template- Lao, Yizhen and Ait-Aider, Omar and Bartoli, Adrien
- [pdf]
[bibtex]@InProceedings{Lao_2018_ECCV,
author = {Lao, Yizhen and Ait-Aider, Omar and Bartoli, Adrien},
title = {Rolling Shutter Pose and Ego-motion Estimation using Shape-from-Template},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Learning to Capture Light Fields through a Coded Aperture Camera- Inagaki, Yasutaka and Kobayashi, Yuto and Takahashi, Keita and Fujii, Toshiaki and Nagahara, Hajime
- [pdf]
[bibtex]@InProceedings{Inagaki_2018_ECCV,
author = {Inagaki, Yasutaka and Kobayashi, Yuto and Takahashi, Keita and Fujii, Toshiaki and Nagahara, Hajime},
title = {Learning to Capture Light Fields through a Coded Aperture Camera},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Variable Ring Light Imaging: Capturing Transient Subsurface Scattering with An Ordinary Camera- Nishino, Ko and Subpa-asa, Art and Asano, Yuta and Shimano, Mihoko and Sato, Imari
- [pdf]
[bibtex]@InProceedings{Nishino_2018_ECCV,
author = {Nishino, Ko and Subpa-asa, Art and Asano, Yuta and Shimano, Mihoko and Sato, Imari},
title = {Variable Ring Light Imaging: Capturing Transient Subsurface Scattering with An Ordinary Camera},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Deep Video Generation, Prediction and Completion of Human Action Sequences- Cai, Haoye and Bai, Chunyan and Tai, Yu-Wing and Tang, Chi-Keung
- [pdf]
[bibtex]@InProceedings{Cai_2018_ECCV,
author = {Cai, Haoye and Bai, Chunyan and Tai, Yu-Wing and Tang, Chi-Keung},
title = {Deep Video Generation, Prediction and Completion of Human Action Sequences},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
PersonLab: Person Pose Estimation and Instance Segmentation with a Bottom-Up, Part-Based, Geometric Embedding Model- Papandreou, George and Zhu, Tyler and Chen, Liang-Chieh and Gidaris, Spyros and Tompson, Jonathan and Murphy, Kevin
- [pdf]
[bibtex]@InProceedings{Papandreou_2018_ECCV,
author = {Papandreou, George and Zhu, Tyler and Chen, Liang-Chieh and Gidaris, Spyros and Tompson, Jonathan and Murphy, Kevin},
title = {PersonLab: Person Pose Estimation and Instance Segmentation with a Bottom-Up, Part-Based, Geometric Embedding Model},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Robust image stitching with multiple registrations- Herrmann, Charles and Wang, Chen and Strong Bowen, Richard and Keyder, Emil and Krainin, Michael and Liu, Ce and Zabih, Ramin
- [pdf]
[bibtex]@InProceedings{Herrmann_2018_ECCV,
author = {Herrmann, Charles and Wang, Chen and Strong Bowen, Richard and Keyder, Emil and Krainin, Michael and Liu, Ce and Zabih, Ramin},
title = {Robust image stitching with multiple registrations},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Learning to Solve Nonlinear Least Squares for Monocular Stereo- Clark, Ronald and Bloesch, Michael and Czarnowski, Jan and Leutenegger, Stefan and Davison, Andrew J.
- [pdf]
[bibtex]@InProceedings{Clark_2018_ECCV,
author = {Clark, Ronald and Bloesch, Michael and Czarnowski, Jan and Leutenegger, Stefan and Davison, Andrew J.},
title = {Learning to Solve Nonlinear Least Squares for Monocular Stereo},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Direct Sparse Odometry With Rolling Shutter- Schubert, David and Demmel, Nikolaus and Usenko, Vladyslav and Stuckler, Jorg and Cremers, Daniel
- [pdf]
[bibtex]@InProceedings{Schubert_2018_ECCV,
author = {Schubert, David and Demmel, Nikolaus and Usenko, Vladyslav and Stuckler, Jorg and Cremers, Daniel},
title = {Direct Sparse Odometry With Rolling Shutter},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
A Zero-Shot Framework for Sketch based Image Retrieval- Kiran Yelamarthi, Sasi and Krishna Reddy, Shiva and Mishra, Ashish and Mittal, Anurag
- [pdf]
[bibtex]@InProceedings{Yelamarthi_2018_ECCV,
author = {Kiran Yelamarthi, Sasi and Krishna Reddy, Shiva and Mishra, Ashish and Mittal, Anurag},
title = {A Zero-Shot Framework for Sketch based Image Retrieval},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Structured Siamese Network for Real-Time Visual Tracking- Zhang, Yunhua and Wang, Lijun and Qi, Jinqing and Wang, Dong and Feng, Mengyang and Lu, Huchuan
- [pdf]
[bibtex]@InProceedings{Zhang_2018_ECCV,
author = {Zhang, Yunhua and Wang, Lijun and Qi, Jinqing and Wang, Dong and Feng, Mengyang and Lu, Huchuan},
title = {Structured Siamese Network for Real-Time Visual Tracking},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Selective Zero-Shot Classification with Augmented Attributes- Song, Jie and Shen, Chengchao and Lei, Jie and Zeng, An-Xiang and Ou, Kairi and Tao, Dacheng and Song, Mingli
- [pdf]
[bibtex]@InProceedings{Song_2018_ECCV,
author = {Song, Jie and Shen, Chengchao and Lei, Jie and Zeng, An-Xiang and Ou, Kairi and Tao, Dacheng and Song, Mingli},
title = {Selective Zero-Shot Classification with Augmented Attributes},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Deep Attention Neural Tensor Network for Visual Question Answering- Bai, Yalong and Fu, Jianlong and Zhao, Tiejun and Mei, Tao
- [pdf]
[bibtex]@InProceedings{Bai_2018_ECCV,
author = {Bai, Yalong and Fu, Jianlong and Zhao, Tiejun and Mei, Tao},
title = {Deep Attention Neural Tensor Network for Visual Question Answering},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Zero-Shot Object Detection- Bansal, Ankan and Sikka, Karan and Sharma, Gaurav and Chellappa, Rama and Divakaran, Ajay
- [pdf]
[bibtex]@InProceedings{Bansal_2018_ECCV,
author = {Bansal, Ankan and Sikka, Karan and Sharma, Gaurav and Chellappa, Rama and Divakaran, Ajay},
title = {Zero-Shot Object Detection},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Asynchronous, Photometric Feature Tracking using Events and Frames- Gehrig, Daniel and Rebecq, Henri and Gallego, Guillermo and Scaramuzza, Davide
- [pdf]
[bibtex]@InProceedings{Gehrig_2018_ECCV,
author = {Gehrig, Daniel and Rebecq, Henri and Gallego, Guillermo and Scaramuzza, Davide},
title = {Asynchronous, Photometric Feature Tracking using Events and Frames},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Unsupervised Class-Specific Deblurring- Madam Nimisha, Thekke and Sunil, Kumar and Rajagopalan, A. N.
- [pdf]
[bibtex]@InProceedings{Nimisha_2018_ECCV,
author = {Madam Nimisha, Thekke and Sunil, Kumar and Rajagopalan, A. N.},
title = {Unsupervised Class-Specific Deblurring},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Imagine This! Scripts to Compositions to Videos- Gupta, Tanmay and Schwenk, Dustin and Farhadi, Ali and Hoiem, Derek and Kembhavi, Aniruddha
- [pdf]
[bibtex]@InProceedings{Gupta_2018_ECCV,
author = {Gupta, Tanmay and Schwenk, Dustin and Farhadi, Ali and Hoiem, Derek and Kembhavi, Aniruddha},
title = {Imagine This! Scripts to Compositions to Videos},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Deep Structure Inference Network for Facial Action Unit Recognition- Corneanu, Ciprian and Madadi, Meysam and Escalera, Sergio
- [pdf]
[bibtex]@InProceedings{Corneanu_2018_ECCV,
author = {Corneanu, Ciprian and Madadi, Meysam and Escalera, Sergio},
title = {Deep Structure Inference Network for Facial Action Unit Recognition},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Action Anticipation with RBF Kernelized Feature Mapping RNN- Shi, Yuge and Fernando, Basura and Hartley, Richard
- [pdf]
[bibtex]@InProceedings{Shi_2018_ECCV,
author = {Shi, Yuge and Fernando, Basura and Hartley, Richard},
title = {Action Anticipation with RBF Kernelized Feature Mapping RNN},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
CNN-PS: CNN-based Photometric Stereo for General Non-Convex Surfaces- Ikehata, Satoshi
- [pdf]
[bibtex]@InProceedings{Ikehata_2018_ECCV,
author = {Ikehata, Satoshi},
title = {CNN-PS: CNN-based Photometric Stereo for General Non-Convex Surfaces},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Small-scale Pedestrian Detection Based on Topological Line Localization and Temporal Feature Aggregation- Song, Tao and Sun, Leiyu and Xie, Di and Sun, Haiming and Pu, Shiliang
- [pdf]
[bibtex]@InProceedings{Song_2018_ECCV,
author = {Song, Tao and Sun, Leiyu and Xie, Di and Sun, Haiming and Pu, Shiliang},
title = {Small-scale Pedestrian Detection Based on Topological Line Localization and Temporal Feature Aggregation},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Summarizing First-Person Videos from Third Persons' Points of View- HO, HSUAN-I and Chiu, Wei-Chen and Frank Wang, Yu-Chiang
- [pdf]
[bibtex]@InProceedings{HO_2018_ECCV,
author = {HO, HSUAN-I and Chiu, Wei-Chen and Frank Wang, Yu-Chiang},
title = {Summarizing First-Person Videos from Third Persons' Points of View},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Snap Angle Prediction for 360° Panoramas- Xiong, Bo and Grauman, Kristen
- [pdf]
[bibtex]@InProceedings{Xiong_2018_ECCV,
author = {Xiong, Bo and Grauman, Kristen},
title = {Snap Angle Prediction for 360° Panoramas},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Zoom-Net: Mining Deep Feature Interactions for Visual Relationship Recognition- Yin, Guojun and Sheng, Lu and Liu, Bin and Yu, Nenghai and Wang, Xiaogang and Shao, Jing and Change Loy, Chen
- [pdf]
[bibtex]@InProceedings{Yin_2018_ECCV,
author = {Yin, Guojun and Sheng, Lu and Liu, Bin and Yu, Nenghai and Wang, Xiaogang and Shao, Jing and Change Loy, Chen},
title = {Zoom-Net: Mining Deep Feature Interactions for Visual Relationship Recognition},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Pixel2Mesh: Generating 3D Mesh Models from Single RGB Images- Wang, Nanyang and Zhang, Yinda and Li, Zhuwen and Fu, Yanwei and Liu, Wei and Jiang, Yu-Gang
- [pdf]
[bibtex]@InProceedings{Wang_2018_ECCV,
author = {Wang, Nanyang and Zhang, Yinda and Li, Zhuwen and Fu, Yanwei and Liu, Wei and Jiang, Yu-Gang},
title = {Pixel2Mesh: Generating 3D Mesh Models from Single RGB Images},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Factorizable Net: An Efficient Subgraph-based Framework for Scene Graph Generation- Li, Yikang and Ouyang, Wanli and Zhou, Bolei and Shi, Jianping and Zhang, Chao and Wang, Xiaogang
- [pdf]
[bibtex]@InProceedings{Li_2018_ECCV,
author = {Li, Yikang and Ouyang, Wanli and Zhou, Bolei and Shi, Jianping and Zhang, Chao and Wang, Xiaogang},
title = {Factorizable Net: An Efficient Subgraph-based Framework for Scene Graph Generation},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Reconstruction-based Pairwise Depth Dataset for Depth Image Enhancement Using CNN- Jeon, Junho and Lee, Seungyong
- [pdf]
[bibtex]@InProceedings{Jeon_2018_ECCV,
author = {Jeon, Junho and Lee, Seungyong},
title = {Reconstruction-based Pairwise Depth Dataset for Depth Image Enhancement Using CNN},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Coded Illumination and Imaging for Fluorescence Based Classification- Asano, Yuta and Meguro, Misaki and Wang, Chao and Lam, Antony and Zheng, Yinqiang and Okabe, Takahiro and Sato, Imari
- [pdf]
[bibtex]@InProceedings{Asano_2018_ECCV,
author = {Asano, Yuta and Meguro, Misaki and Wang, Chao and Lam, Antony and Zheng, Yinqiang and Okabe, Takahiro and Sato, Imari},
title = {Coded Illumination and Imaging for Fluorescence Based Classification},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Multi-view to Novel view: Synthesizing novel views with Self-Learned Confidence- Sun, Shao-Hua and Huh, Minyoung and Liao, Yuan-Hong and Zhang, Ning and Lim, Joseph J.
- [pdf]
[bibtex]@InProceedings{Sun_2018_ECCV,
author = {Sun, Shao-Hua and Huh, Minyoung and Liao, Yuan-Hong and Zhang, Ning and Lim, Joseph J.},
title = {Multi-view to Novel view: Synthesizing novel views with Self-Learned Confidence},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Robust Anchor Embedding for Unsupervised Video Person Re-Identification in the Wild- Ye, Mang and Lan, Xiangyuan and Yuen, Pong C.
- [pdf]
[bibtex]@InProceedings{Ye_2018_ECCV,
author = {Ye, Mang and Lan, Xiangyuan and Yuen, Pong C.},
title = {Robust Anchor Embedding for Unsupervised Video Person Re-Identification in the Wild},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Training Binary Weight Networks via Semi-Binary Decomposition- Hu, Qinghao and Li, Gang and Wang, Peisong and Zhang, Yifan and Cheng, Jian
- [pdf]
[bibtex]@InProceedings{Hu_2018_ECCV,
author = {Hu, Qinghao and Li, Gang and Wang, Peisong and Zhang, Yifan and Cheng, Jian},
title = {Training Binary Weight Networks via Semi-Binary Decomposition},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Hand Pose Estimation via Latent 2.5D Heatmap Regression- Iqbal, Umar and Molchanov, Pavlo and Breuel Juergen Gall, Thomas and Kautz, Jan
- [pdf]
[bibtex]@InProceedings{Iqbal_2018_ECCV,
author = {Iqbal, Umar and Molchanov, Pavlo and Breuel Juergen Gall, Thomas and Kautz, Jan},
title = {Hand Pose Estimation via Latent 2.5D Heatmap Regression},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
LQ-Nets: Learned Quantization for Highly Accurate and Compact Deep Neural Networks- Zhang, Dongqing and Yang, Jiaolong and Ye, Dongqiangzi and Hua, Gang
- [pdf]
[bibtex]@InProceedings{Zhang_2018_ECCV,
author = {Zhang, Dongqing and Yang, Jiaolong and Ye, Dongqiangzi and Hua, Gang},
title = {LQ-Nets: Learned Quantization for Highly Accurate and Compact Deep Neural Networks},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Deep Randomized Ensembles for Metric Learning- Xuan, Hong and Souvenir, Richard and Pless, Robert
- [pdf]
[bibtex]@InProceedings{Xuan_2018_ECCV,
author = {Xuan, Hong and Souvenir, Richard and Pless, Robert},
title = {Deep Randomized Ensembles for Metric Learning},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
ECO: Efficient Convolutional Network for Online Video Understanding- Zolfaghari, Mohammadreza and Singh, Kamaljeet and Brox, Thomas
- [pdf]
[bibtex]@InProceedings{Zolfaghari_2018_ECCV,
author = {Zolfaghari, Mohammadreza and Singh, Kamaljeet and Brox, Thomas},
title = {ECO: Efficient Convolutional Network for Online Video Understanding},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Proxy Clouds for Live RGB-D Stream Processing and Consolidation- Kaiser, Adrien and Alonso Ybanez Zepeda, Jose and Boubekeur, Tamy
- [pdf]
[bibtex]@InProceedings{Kaiser_2018_ECCV,
author = {Kaiser, Adrien and Alonso Ybanez Zepeda, Jose and Boubekeur, Tamy},
title = {Proxy Clouds for Live RGB-D Stream Processing and Consolidation},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Neural Graph Matching Networks for Fewshot 3D Action Recognition- Guo, Michelle and Chou, Edward and Huang, De-An and Song, Shuran and Yeung, Serena and Fei-Fei, Li
- [pdf]
[bibtex]@InProceedings{Guo_2018_ECCV,
author = {Guo, Michelle and Chou, Edward and Huang, De-An and Song, Shuran and Yeung, Serena and Fei-Fei, Li},
title = {Neural Graph Matching Networks for Fewshot 3D Action Recognition},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Stereo relative pose from line and point feature triplets- Vakhitov, Alexander and Lempitsky, Victor and Zheng, Yinqiang
- [pdf]
[bibtex]@InProceedings{Vakhitov_2018_ECCV,
author = {Vakhitov, Alexander and Lempitsky, Victor and Zheng, Yinqiang},
title = {Stereo relative pose from line and point feature triplets},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
A-Contrario Horizon-First Vanishing Point Detection Using Second-Order Grouping Laws- Simon, Gilles and Fond, Antoine and Berger, Marie-Odile
- [pdf]
[bibtex]@InProceedings{Simon_2018_ECCV,
author = {Simon, Gilles and Fond, Antoine and Berger, Marie-Odile},
title = {A-Contrario Horizon-First Vanishing Point Detection Using Second-Order Grouping Laws},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Learning to Zoom: a Saliency-Based Sampling Layer for Neural Networks- Recasens, Adria and Kellnhofer, Petr and Stent, Simon and Matusik, Wojciech and Torralba, Antonio
- [pdf]
[bibtex]@InProceedings{Recasens_2018_ECCV,
author = {Recasens, Adria and Kellnhofer, Petr and Stent, Simon and Matusik, Wojciech and Torralba, Antonio},
title = {Learning to Zoom: a Saliency-Based Sampling Layer for Neural Networks},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Improving Deep Visual Representation for Person Re-identification by Global and Local Image-language Association- Chen, Dapeng and Li, Hongsheng and Liu, Xihui and Shen, Yantao and Shao, Jing and Yuan, Zejian and Wang, Xiaogang
- [pdf]
[bibtex]@InProceedings{Chen_2018_ECCV,
author = {Chen, Dapeng and Li, Hongsheng and Liu, Xihui and Shen, Yantao and Shao, Jing and Yuan, Zejian and Wang, Xiaogang},
title = {Improving Deep Visual Representation for Person Re-identification by Global and Local Image-language Association},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Less is More: Picking Informative Frames for Video Captioning- Chen, Yangyu and Wang, Shuhui and Zhang, Weigang and Huang, Qingming
- [pdf]
[bibtex]@InProceedings{Chen_2018_ECCV,
author = {Chen, Yangyu and Wang, Shuhui and Zhang, Weigang and Huang, Qingming},
title = {Less is More: Picking Informative Frames for Video Captioning},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
BodyNet: Volumetric Inference of 3D Human Body Shapes- Varol, Gul and Ceylan, Duygu and Russell, Bryan and Yang, Jimei and Yumer, Ersin and Laptev, Ivan and Schmid, Cordelia
- [pdf]
[bibtex]@InProceedings{Varol_2018_ECCV,
author = {Varol, Gul and Ceylan, Duygu and Russell, Bryan and Yang, Jimei and Yumer, Ersin and Laptev, Ivan and Schmid, Cordelia},
title = {BodyNet: Volumetric Inference of 3D Human Body Shapes},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Towards Human-Level License Plate Recognition- Zhuang, Jiafan and Hou, Saihui and Wang, Zilei and Zha, Zheng-Jun
- [pdf]
[bibtex]@InProceedings{Zhuang_2018_ECCV,
author = {Zhuang, Jiafan and Hou, Saihui and Wang, Zilei and Zha, Zheng-Jun},
title = {Towards Human-Level License Plate Recognition},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
A Dataset for Lane Instance Segmentation in Urban Environments- Roberts, Brook and Kaltwang, Sebastian and Samangooei, Sina and Pender-Bare, Mark and Tertikas, Konstantinos and Redford, John
- [pdf]
[bibtex]@InProceedings{Roberts_2018_ECCV,
author = {Roberts, Brook and Kaltwang, Sebastian and Samangooei, Sina and Pender-Bare, Mark and Tertikas, Konstantinos and Redford, John},
title = {A Dataset for Lane Instance Segmentation in Urban Environments},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
DeepIM: Deep Iterative Matching for 6D Pose Estimation- Li, Yi and Wang, Gu and Ji, Xiangyang and Xiang, Yu and Fox, Dieter
- [pdf]
[bibtex]@InProceedings{Li_2018_ECCV,
author = {Li, Yi and Wang, Gu and Ji, Xiangyang and Xiang, Yu and Fox, Dieter},
title = {DeepIM: Deep Iterative Matching for 6D Pose Estimation},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Riemannian Walk for Incremental Learning: Understanding Forgetting and Intransigence- Chaudhry, Arslan and Dokania, Puneet K. and Ajanthan, Thalaiyasingam and Torr, Philip H. S.
- [pdf]
[bibtex]@InProceedings{Chaudhry_2018_ECCV,
author = {Chaudhry, Arslan and Dokania, Puneet K. and Ajanthan, Thalaiyasingam and Torr, Philip H. S.},
title = {Riemannian Walk for Incremental Learning: Understanding Forgetting and Intransigence},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Meta-Tracker: Fast and Robust Online Adaptation for Visual Object Trackers- Park, Eunbyung and Berg, Alexander C.
- [pdf]
[bibtex]@InProceedings{Park_2018_ECCV,
author = {Park, Eunbyung and Berg, Alexander C.},
title = {Meta-Tracker: Fast and Robust Online Adaptation for Visual Object Trackers},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
ESPNet: Efficient Spatial Pyramid of Dilated Convolutions for Semantic Segmentation- Mehta, Sachin and Rastegari, Mohammad and Caspi, Anat and Shapiro, Linda and Hajishirzi, Hannaneh
- [pdf]
[bibtex]@InProceedings{Mehta_2018_ECCV,
author = {Mehta, Sachin and Rastegari, Mohammad and Caspi, Anat and Shapiro, Linda and Hajishirzi, Hannaneh},
title = {ESPNet: Efficient Spatial Pyramid of Dilated Convolutions for Semantic Segmentation},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Wasserstein Divergence for GANs- Wu, Jiqing and Huang, Zhiwu and Thoma, Janine and Acharya, Dinesh and Van Gool, Luc
- [pdf]
[bibtex]@InProceedings{Wu_2018_ECCV,
author = {Wu, Jiqing and Huang, Zhiwu and Thoma, Janine and Acharya, Dinesh and Van Gool, Luc},
title = {Wasserstein Divergence for GANs},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Evaluating Capability of Deep Neural Networks for Image Classification via Information Plane- Cheng, Hao and Lian, Dongze and Gao, Shenghua and Geng, Yanlin
- [pdf]
[bibtex]@InProceedings{Cheng_2018_ECCV,
author = {Cheng, Hao and Lian, Dongze and Gao, Shenghua and Geng, Yanlin},
title = {Evaluating Capability of Deep Neural Networks for Image Classification via Information Plane},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
C-WSL: Count-guided Weakly Supervised Localization- Gao, Mingfei and Li, Ang and Yu, Ruichi and Morariu, Vlad I. and Davis, Larry S.
- [pdf]
[bibtex]@InProceedings{Gao_2018_ECCV,
author = {Gao, Mingfei and Li, Ang and Yu, Ruichi and Morariu, Vlad I. and Davis, Larry S.},
title = {C-WSL: Count-guided Weakly Supervised Localization},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Goal-Oriented Visual Question Generation via Intermediate Rewards- Zhang, Junjie and Wu, Qi and Shen, Chunhua and Zhang, Jian and Lu, Jianfeng and van den Hengel, Anton
- [pdf]
[bibtex]@InProceedings{Zhang_2018_ECCV,
author = {Zhang, Junjie and Wu, Qi and Shen, Chunhua and Zhang, Jian and Lu, Jianfeng and van den Hengel, Anton},
title = {Goal-Oriented Visual Question Generation via Intermediate Rewards},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
ICNet for Real-Time Semantic Segmentation on High-Resolution Images- Zhao, Hengshuang and Qi, Xiaojuan and Shen, Xiaoyong and Shi, Jianping and Jia, Jiaya
- [pdf]
[bibtex]@InProceedings{Zhao_2018_ECCV,
author = {Zhao, Hengshuang and Qi, Xiaojuan and Shen, Xiaoyong and Shi, Jianping and Jia, Jiaya},
title = {ICNet for Real-Time Semantic Segmentation on High-Resolution Images},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Multi-Fiber Networks for Video Recognition- Chen, Yunpeng and Kalantidis, Yannis and Li, Jianshu and Yan, Shuicheng and Feng, Jiashi
- [pdf]
[bibtex]@InProceedings{Chen_2018_ECCV,
author = {Chen, Yunpeng and Kalantidis, Yannis and Li, Jianshu and Yan, Shuicheng and Feng, Jiashi},
title = {Multi-Fiber Networks for Video Recognition},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
TS2C: Tight Box Mining with Surrounding Segmentation Context for Weakly Supervised Object Detection- Wei, Yunchao and Shen, Zhiqiang and Cheng, Bowen and Shi, Honghui and Xiong, Jinjun and Feng, Jiashi and Huang, Thomas
- [pdf]
[bibtex]@InProceedings{Wei_2018_ECCV,
author = {Wei, Yunchao and Shen, Zhiqiang and Cheng, Bowen and Shi, Honghui and Xiong, Jinjun and Feng, Jiashi and Huang, Thomas},
title = {TS2C: Tight Box Mining with Surrounding Segmentation Context for Weakly Supervised Object Detection},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
PARN: Pyramidal Affine Regression Networks for Dense Semantic Correspondence- Jeon, Sangryul and Kim, Seungryong and Min, Dongbo and Sohn, Kwanghoon
- [pdf]
[bibtex]@InProceedings{Jeon_2018_ECCV,
author = {Jeon, Sangryul and Kim, Seungryong and Min, Dongbo and Sohn, Kwanghoon},
title = {PARN: Pyramidal Affine Regression Networks for Dense Semantic Correspondence},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Super-Identity Convolutional Neural Network for Face Hallucination- Zhang, Kaipeng and Zhang, Zhanpeng and Cheng, Chia-Wen and Hsu, Winston H. and Qiao, Yu and Liu, Wei and Zhang, Tong
- [pdf]
[bibtex]@InProceedings{Zhang_2018_ECCV,
author = {Zhang, Kaipeng and Zhang, Zhanpeng and Cheng, Chia-Wen and Hsu, Winston H. and Qiao, Yu and Liu, Wei and Zhang, Tong},
title = {Super-Identity Convolutional Neural Network for Face Hallucination},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Look Deeper into Depth: Monocular Depth Estimation with Semantic Booster and Attention-Driven Loss- Jiao, Jianbo and Cao, Ying and Song, Yibing and Lau, Rynson
- [pdf]
[bibtex]@InProceedings{Jiao_2018_ECCV,
author = {Jiao, Jianbo and Cao, Ying and Song, Yibing and Lau, Rynson},
title = {Look Deeper into Depth: Monocular Depth Estimation with Semantic Booster and Attention-Driven Loss},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Rethinking Spatiotemporal Feature Learning: Speed-Accuracy Trade-offs in Video Classification- Xie, Saining and Sun, Chen and Huang, Jonathan and Tu, Zhuowen and Murphy, Kevin
- [pdf]
[bibtex]@InProceedings{Xie_2018_ECCV,
author = {Xie, Saining and Sun, Chen and Huang, Jonathan and Tu, Zhuowen and Murphy, Kevin},
title = {Rethinking Spatiotemporal Feature Learning: Speed-Accuracy Trade-offs in Video Classification},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Domain Adaptation through Synthesis for Unsupervised Person Re-identification- Bak, Slawomir and Carr, Peter and Lalonde, Jean-Francois
- [pdf]
[bibtex]@InProceedings{Bak_2018_ECCV,
author = {Bak, Slawomir and Carr, Peter and Lalonde, Jean-Francois},
title = {Domain Adaptation through Synthesis for Unsupervised Person Re-identification},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Learning to Predict Crisp Boundaries- Deng, Ruoxi and Shen, Chunhua and Liu, Shengjun and Wang, Huibing and Liu, Xinru
- [pdf]
[bibtex]@InProceedings{Deng_2018_ECCV,
author = {Deng, Ruoxi and Shen, Chunhua and Liu, Shengjun and Wang, Huibing and Liu, Xinru},
title = {Learning to Predict Crisp Boundaries},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Learning Efficient Single-stage Pedestrian Detectors by Asymptotic Localization Fitting- Liu, Wei and Liao, Shengcai and Hu, Weidong and Liang, Xuezhi and Chen, Xiao
- [pdf]
[bibtex]@InProceedings{Liu_2018_ECCV,
author = {Liu, Wei and Liao, Shengcai and Hu, Weidong and Liang, Xuezhi and Chen, Xiao},
title = {Learning Efficient Single-stage Pedestrian Detectors by Asymptotic Localization Fitting},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Attention-based Ensemble for Deep Metric Learning- Kim, Wonsik and Goyal, Bhavya and Chawla, Kunal and Lee, Jungmin and Kwon, Keunjoo
- [pdf]
[bibtex]@InProceedings{Kim_2018_ECCV,
author = {Kim, Wonsik and Goyal, Bhavya and Chawla, Kunal and Lee, Jungmin and Kwon, Keunjoo},
title = {Attention-based Ensemble for Deep Metric Learning},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
3DFeat-Net: Weakly Supervised Local 3D Features for Point Cloud Registration- Jian Yew, Zi and Hee Lee, Gim
- [pdf]
[bibtex]@InProceedings{Yew_2018_ECCV,
author = {Jian Yew, Zi and Hee Lee, Gim},
title = {3DFeat-Net: Weakly Supervised Local 3D Features for Point Cloud Registration},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
DCAN: Dual Channel-wise Alignment Networks for Unsupervised Scene Adaptation- Wu, Zuxuan and Han, Xintong and Lin, Yen-Liang and Gokhan Uzunbas, Mustafa and Goldstein, Tom and Nam Lim, Ser and Davis, Larry S.
- [pdf]
[bibtex]@InProceedings{Wu_2018_ECCV,
author = {Wu, Zuxuan and Han, Xintong and Lin, Yen-Liang and Gokhan Uzunbas, Mustafa and Goldstein, Tom and Nam Lim, Ser and Davis, Larry S.},
title = {DCAN: Dual Channel-wise Alignment Networks for Unsupervised Scene Adaptation},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
NNEval: Neural Network based Evaluation Metric for Image Captioning- Sharif, Naeha and White, Lyndon and Bennamoun, Mohammed and Afaq Ali Shah, Syed
- [pdf]
[bibtex]@InProceedings{Sharif_2018_ECCV,
author = {Sharif, Naeha and White, Lyndon and Bennamoun, Mohammed and Afaq Ali Shah, Syed},
title = {NNEval: Neural Network based Evaluation Metric for Image Captioning},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Learning to Segment via Cut-and-Paste- Remez, Tal and Huang, Jonathan and Brown, Matthew
- [pdf]
[bibtex]@InProceedings{Remez_2018_ECCV,
author = {Remez, Tal and Huang, Jonathan and Brown, Matthew},
title = {Learning to Segment via Cut-and-Paste},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Real-Time Hair Rendering using Sequential Adversarial Networks- Wei, Lingyu and Hu, Liwen and Kim, Vladimir and Yumer, Ersin and Li, Hao
- [pdf]
[bibtex]@InProceedings{Wei_2018_ECCV,
author = {Wei, Lingyu and Hu, Liwen and Kim, Vladimir and Yumer, Ersin and Li, Hao},
title = {Real-Time Hair Rendering using Sequential Adversarial Networks},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Learning Human-Object Interactions by Graph Parsing Neural Networks- Qi, Siyuan and Wang, Wenguan and Jia, Baoxiong and Shen, Jianbing and Zhu, Song-Chun
- [pdf]
[bibtex]@InProceedings{Qi_2018_ECCV,
author = {Qi, Siyuan and Wang, Wenguan and Jia, Baoxiong and Shen, Jianbing and Zhu, Song-Chun},
title = {Learning Human-Object Interactions by Graph Parsing Neural Networks},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Occlusion-aware R-CNN: Detecting Pedestrians in a Crowd- Zhang, Shifeng and Wen, Longyin and Bian, Xiao and Lei, Zhen and Li, Stan Z.
- [pdf]
[bibtex]@InProceedings{Zhang_2018_ECCV,
author = {Zhang, Shifeng and Wen, Longyin and Bian, Xiao and Lei, Zhen and Li, Stan Z.},
title = {Occlusion-aware R-CNN: Detecting Pedestrians in a Crowd},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Linear RGB-D SLAM for Planar Environments- Kim, Pyojin and Coltin, Brian and Jin Kim, H.
- [pdf]
[bibtex]@InProceedings{Kim_2018_ECCV,
author = {Kim, Pyojin and Coltin, Brian and Jin Kim, H.},
title = {Linear RGB-D SLAM for Planar Environments},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
NAM: Non-Adversarial Unsupervised Domain Mapping- Hoshen, Yedid and Wolf, Lior
- [pdf]
[bibtex]@InProceedings{Hoshen_2018_ECCV,
author = {Hoshen, Yedid and Wolf, Lior},
title = {NAM: Non-Adversarial Unsupervised Domain Mapping},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
CrossNet: An End-to-end Reference-based Super Resolution Network using Cross-scale Warping- Zheng, Haitian and Ji, Mengqi and Wang, Haoqian and Liu, Yebin and Fang, Lu
- [pdf]
[bibtex]@InProceedings{Zheng_2018_ECCV,
author = {Zheng, Haitian and Ji, Mengqi and Wang, Haoqian and Liu, Yebin and Fang, Lu},
title = {CrossNet: An End-to-end Reference-based Super Resolution Network using Cross-scale Warping},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Video Object Segmentation with Joint Re-identification and Attention-Aware Mask Propagation- Li, Xiaoxiao and Change Loy, Chen
- [pdf]
[bibtex]@InProceedings{Li_2018_ECCV,
author = {Li, Xiaoxiao and Change Loy, Chen},
title = {Video Object Segmentation with Joint Re-identification and Attention-Aware Mask Propagation},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Layer-structured 3D Scene Inference via View Synthesis- Tulsiani, Shubham and Tucker, Richard and Snavely, Noah
- [pdf]
[bibtex]@InProceedings{Tulsiani_2018_ECCV,
author = {Tulsiani, Shubham and Tucker, Richard and Snavely, Noah},
title = {Layer-structured 3D Scene Inference via View Synthesis},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Facial Expression Recognition with Inconsistently Annotated Datasets- Zeng, Jiabei and Shan, Shiguang and Chen, Xilin
- [pdf]
[bibtex]@InProceedings{Zeng_2018_ECCV,
author = {Zeng, Jiabei and Shan, Shiguang and Chen, Xilin},
title = {Facial Expression Recognition with Inconsistently Annotated Datasets},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Exploiting Vector Fields for Geometric Rectification of Distorted Document Images- MENG, Gaofeng and SU, Yuanqi and WU, Ying and XIANG, Shiming and PAN, Chunhong
- [pdf]
[bibtex]@InProceedings{MENG_2018_ECCV,
author = {MENG, Gaofeng and SU, Yuanqi and WU, Ying and XIANG, Shiming and PAN, Chunhong},
title = {Exploiting Vector Fields for Geometric Rectification of Distorted Document Images},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
A+D Net: Training a Shadow Detector with Adversarial Shadow Attenuation- Le, Hieu and Yago Vicente, Tomas F. and Nguyen, Vu and Hoai, Minh and Samaras, Dimitris
- [pdf]
[bibtex]@InProceedings{Le_2018_ECCV,
author = {Le, Hieu and Yago Vicente, Tomas F. and Nguyen, Vu and Hoai, Minh and Samaras, Dimitris},
title = {A+D Net: Training a Shadow Detector with Adversarial Shadow Attenuation},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Lip Movements Generation at a Glance- Chen, Lele and Li, Zhiheng and K Maddox, Ross and Duan, Zhiyao and Xu, Chenliang
- [pdf]
[bibtex]@InProceedings{Chen_2018_ECCV,
author = {Chen, Lele and Li, Zhiheng and K Maddox, Ross and Duan, Zhiyao and Xu, Chenliang},
title = {Lip Movements Generation at a Glance},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Domain transfer through deep activation matching- Huang, Haoshuo and Huang, Qixing and Krahenbuhl, Philipp
- [pdf]
[bibtex]@InProceedings{Huang_2018_ECCV,
author = {Huang, Haoshuo and Huang, Qixing and Krahenbuhl, Philipp},
title = {Domain transfer through deep activation matching},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Geolocation Estimation of Photos using a Hierarchical Model and Scene Classification- Muller-Budack, Eric and Pustu-Iren, Kader and Ewerth, Ralph
- [pdf]
[bibtex]@InProceedings{Muller-Budack_2018_ECCV,
author = {Muller-Budack, Eric and Pustu-Iren, Kader and Ewerth, Ralph},
title = {Geolocation Estimation of Photos using a Hierarchical Model and Scene Classification},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Temporal Relational Reasoning in Videos- Zhou, Bolei and Andonian, Alex and Oliva, Aude and Torralba, Antonio
- [pdf]
[bibtex]@InProceedings{Zhou_2018_ECCV,
author = {Zhou, Bolei and Andonian, Alex and Oliva, Aude and Torralba, Antonio},
title = {Temporal Relational Reasoning in Videos},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Leveraging Motion Priors in Videos for Improving Human Segmentation- Chen, Yu-Ting and Chang, Wen-Yen and Lu, Hai-Lun and Wu, Tingfan and Sun, Min
- [pdf]
[bibtex]@InProceedings{Chen_2018_ECCV,
author = {Chen, Yu-Ting and Chang, Wen-Yen and Lu, Hai-Lun and Wu, Tingfan and Sun, Min},
title = {Leveraging Motion Priors in Videos for Improving Human Segmentation},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Sequential Clique Optimization for Video Object Segmentation- Jun Koh, Yeong and Lee, Young-Yoon and Kim, Chang-Su
- [pdf]
[bibtex]@InProceedings{Koh_2018_ECCV,
author = {Jun Koh, Yeong and Lee, Young-Yoon and Kim, Chang-Su},
title = {Sequential Clique Optimization for Video Object Segmentation},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
3D Scene Flow from 4D Light Field Gradients- Ma, Sizhuo and Smith, Brandon M. and Gupta, Mohit
- [pdf]
[bibtex]@InProceedings{Ma_2018_ECCV,
author = {Ma, Sizhuo and Smith, Brandon M. and Gupta, Mohit},
title = {3D Scene Flow from 4D Light Field Gradients},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Accelerating Dynamic Programs via Nested Benders Decomposition with Application to Multi-Person Pose Estimation- Wang, Shaofei and Ihler, Alexander and Kording, Konrad and Yarkony, Julian
- [pdf]
[bibtex]@InProceedings{Wang_2018_ECCV,
author = {Wang, Shaofei and Ihler, Alexander and Kording, Konrad and Yarkony, Julian},
title = {Accelerating Dynamic Programs via Nested Benders Decomposition with Application to Multi-Person Pose Estimation},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Multi-scale Residual Network for Image Super-Resolution- Li, Juncheng and Fang, Faming and Mei, Kangfu and Zhang, Guixu
- [pdf]
[bibtex]@InProceedings{Li_2018_ECCV,
author = {Li, Juncheng and Fang, Faming and Mei, Kangfu and Zhang, Guixu},
title = {Multi-scale Residual Network for Image Super-Resolution},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Efficient Global Point Cloud Registration by Matching Rotation Invariant Features Through Translation Search- Liu, Yinlong and Wang, Chen and Song, Zhijian and Wang, Manning
- [pdf]
[bibtex]@InProceedings{Liu_2018_ECCV,
author = {Liu, Yinlong and Wang, Chen and Song, Zhijian and Wang, Manning},
title = {Efficient Global Point Cloud Registration by Matching Rotation Invariant Features Through Translation Search},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Stroke Controllable Fast Style Transfer with Adaptive Receptive Fields- Jing, Yongcheng and Liu, Yang and Yang, Yezhou and Feng, Zunlei and Yu, Yizhou and Tao, Dacheng and Song, Mingli
- [pdf]
[bibtex]@InProceedings{Jing_2018_ECCV,
author = {Jing, Yongcheng and Liu, Yang and Yang, Yezhou and Feng, Zunlei and Yu, Yizhou and Tao, Dacheng and Song, Mingli},
title = {Stroke Controllable Fast Style Transfer with Adaptive Receptive Fields},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
A Modulation Module for Multi-task Learning with Applications in Image Retrieval- Zhao, Xiangyun and Li, Haoxiang and Shen, Xiaohui and Liang, Xiaodan and Wu, Ying
- [pdf]
[bibtex]@InProceedings{Zhao_2018_ECCV,
author = {Zhao, Xiangyun and Li, Haoxiang and Shen, Xiaohui and Liang, Xiaodan and Wu, Ying},
title = {A Modulation Module for Multi-task Learning with Applications in Image Retrieval},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Deforming Autoencoders: Unsupervised Disentangling of Shape and Appearance- Shu, Zhixin and Sahasrabudhe, Mihir and Alp Guler, Riza and Samaras, Dimitris and Paragios, Nikos and Kokkinos, Iasonas
- [pdf]
[bibtex]@InProceedings{Shu_2018_ECCV,
author = {Shu, Zhixin and Sahasrabudhe, Mihir and Alp Guler, Riza and Samaras, Dimitris and Paragios, Nikos and Kokkinos, Iasonas},
title = {Deforming Autoencoders: Unsupervised Disentangling of Shape and Appearance},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
ShapeCodes: Self-Supervised Feature Learning by Lifting Views to Viewgrids- Jayaraman, Dinesh and Gao, Ruohan and Grauman, Kristen
- [pdf]
[bibtex]@InProceedings{Jayaraman_2018_ECCV,
author = {Jayaraman, Dinesh and Gao, Ruohan and Grauman, Kristen},
title = {ShapeCodes: Self-Supervised Feature Learning by Lifting Views to Viewgrids},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Triplet Loss in Siamese Network for Object Tracking- Dong, Xingping and Shen, Jianbing
- [pdf]
[bibtex]@InProceedings{Dong_2018_ECCV,
author = {Dong, Xingping and Shen, Jianbing},
title = {Triplet Loss in Siamese Network for Object Tracking},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Person Re-identification with Deep Similarity-Guided Graph Neural Network- Shen, Yantao and Li, Hongsheng and Yi, Shuai and Chen, Dapeng and Wang, Xiaogang
- [pdf]
[bibtex]@InProceedings{Shen_2018_ECCV,
author = {Shen, Yantao and Li, Hongsheng and Yi, Shuai and Chen, Dapeng and Wang, Xiaogang},
title = {Person Re-identification with Deep Similarity-Guided Graph Neural Network},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
VSO: Visual Semantic Odometry- Lianos, Konstantinos-Nektarios and Schonberger, Johannes L. and Pollefeys, Marc and Sattler, Torsten
- [pdf]
[bibtex]@InProceedings{Lianos_2018_ECCV,
author = {Lianos, Konstantinos-Nektarios and Schonberger, Johannes L. and Pollefeys, Marc and Sattler, Torsten},
title = {VSO: Visual Semantic Odometry},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Volumetric performance capture from minimal camera viewpoints- Gilbert, Andrew and Volino, Marco and Collomosse, John and Hilton, Adrian
- [pdf]
[bibtex]@InProceedings{Gilbert_2018_ECCV,
author = {Gilbert, Andrew and Volino, Marco and Collomosse, John and Hilton, Adrian},
title = {Volumetric performance capture from minimal camera viewpoints},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Videos as Space-Time Region Graphs- Wang, Xiaolong and Gupta, Abhinav
- [pdf]
[bibtex]@InProceedings{Wang_2018_ECCV,
author = {Wang, Xiaolong and Gupta, Abhinav},
title = {Videos as Space-Time Region Graphs},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Faces as Lighting Probes via Unsupervised Deep Highlight Extraction- Yi, Renjiao and Zhu, Chenyang and Tan, Ping and Lin, Stephen
- [pdf]
[bibtex]@InProceedings{Yi_2018_ECCV,
author = {Yi, Renjiao and Zhu, Chenyang and Tan, Ping and Lin, Stephen},
title = {Faces as Lighting Probes via Unsupervised Deep Highlight Extraction},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Unsupervised holistic image generation from key local patches- Lee, Donghoon and Yun, Sangdoo and Choi, Sungjoon and Yoo, Hwiyeon and Yang, Ming-Hsuan and Oh, Songhwai
- [pdf]
[bibtex]@InProceedings{Lee_2018_ECCV,
author = {Lee, Donghoon and Yun, Sangdoo and Choi, Sungjoon and Yoo, Hwiyeon and Yang, Ming-Hsuan and Oh, Songhwai},
title = {Unsupervised holistic image generation from key local patches},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Visual Text Correction- Mazaheri, Amir and Shah, Mubarak
- [pdf]
[bibtex]@InProceedings{Mazaheri_2018_ECCV,
author = {Mazaheri, Amir and Shah, Mubarak},
title = {Visual Text Correction},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
ELEGANT: Exchanging Latent Encodings with GAN for Transferring Multiple Face Attributes- Xiao, Taihong and Hong, Jiapeng and Ma, Jinwen
- [pdf]
[bibtex]@InProceedings{Xiao_2018_ECCV,
author = {Xiao, Taihong and Hong, Jiapeng and Ma, Jinwen},
title = {ELEGANT: Exchanging Latent Encodings with GAN for Transferring Multiple Face Attributes},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Coloring with Words: Guiding Image Colorization Through Text-based Palette Generation- Bahng, Hyojin and Yoo, Seungjoo and Cho, Wonwoong and Keetae Park, David and Wu, Ziming and Ma, Xiaojuan and Choo, Jaegul
- [pdf]
[bibtex]@InProceedings{Bahng_2018_ECCV,
author = {Bahng, Hyojin and Yoo, Seungjoo and Cho, Wonwoong and Keetae Park, David and Wu, Ziming and Ma, Xiaojuan and Choo, Jaegul},
title = {Coloring with Words: Guiding Image Colorization Through Text-based Palette Generation},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Teaching Machines to Understand Baseball Games: Large-Scale Baseball Video Database for Multiple Video Understanding Tasks- Shim, Minho and Hwi Kim, Young and Kim, Kyungmin and Joo Kim, Seon
- [pdf]
[bibtex]@InProceedings{Shim_2018_ECCV,
author = {Shim, Minho and Hwi Kim, Young and Kim, Kyungmin and Joo Kim, Seon},
title = {Teaching Machines to Understand Baseball Games: Large-Scale Baseball Video Database for Multiple Video Understanding Tasks},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Into the Twilight Zone: Depth Estimation using Joint Structure-Stereo Optimization- Sharma, Aashish and Cheong, Loong-Fah
- [pdf]
[bibtex]@InProceedings{Sharma_2018_ECCV,
author = {Sharma, Aashish and Cheong, Loong-Fah},
title = {Into the Twilight Zone: Depth Estimation using Joint Structure-Stereo Optimization},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Learning 3D Shapes as Multi-Layered Height-maps using 2D Convolutional Networks- Sarkar, Kripasindhu and Hampiholi, Basavaraj and Varanasi, Kiran and Stricker, Didier
- [pdf]
[bibtex]@InProceedings{Sarkar_2018_ECCV,
author = {Sarkar, Kripasindhu and Hampiholi, Basavaraj and Varanasi, Kiran and Stricker, Didier},
title = {Learning 3D Shapes as Multi-Layered Height-maps using 2D Convolutional Networks},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Coreset-Based Neural Network Compression- Dubey, Abhimanyu and Chatterjee, Moitreya and Ahuja, Narendra
- [pdf]
[bibtex]@InProceedings{Dubey_2018_ECCV,
author = {Dubey, Abhimanyu and Chatterjee, Moitreya and Ahuja, Narendra},
title = {Coreset-Based Neural Network Compression},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Variational Wasserstein Clustering- Mi, Liang and Zhang, Wen and Gu, Xianfeng and Wang, Yalin
- [pdf]
[bibtex]@InProceedings{Mi_2018_ECCV,
author = {Mi, Liang and Zhang, Wen and Gu, Xianfeng and Wang, Yalin},
title = {Variational Wasserstein Clustering},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Joint Person Segmentation and Identification in Synchronized First- and Third-person Videos- Xu, Mingze and Fan, Chenyou and Wang, Yuchen and Ryoo, Michael S. and Crandall, David J.
- [pdf]
[bibtex]@InProceedings{Xu_2018_ECCV,
author = {Xu, Mingze and Fan, Chenyou and Wang, Yuchen and Ryoo, Michael S. and Crandall, David J.},
title = {Joint Person Segmentation and Identification in Synchronized First- and Third-person Videos},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Zero-shot keyword spotting for visual speech recognition in-the-wild- Stafylakis, Themos and Tzimiropoulos, Georgios
- [pdf]
[bibtex]@InProceedings{Stafylakis_2018_ECCV,
author = {Stafylakis, Themos and Tzimiropoulos, Georgios},
title = {Zero-shot keyword spotting for visual speech recognition in-the-wild},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
ContextVP: Fully Context-Aware Video Prediction- Byeon, Wonmin and Wang, Qin and Kumar Srivastava, Rupesh and Koumoutsakos, Petros
- [pdf]
[bibtex]@InProceedings{Byeon_2018_ECCV,
author = {Byeon, Wonmin and Wang, Qin and Kumar Srivastava, Rupesh and Koumoutsakos, Petros},
title = {ContextVP: Fully Context-Aware Video Prediction},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Open Set Domain Adaptation by Backpropagation- Saito, Kuniaki and Yamamoto, Shohei and Ushiku, Yoshitaka and Harada, Tatsuya
- [pdf]
[bibtex]@InProceedings{Saito_2018_ECCV,
author = {Saito, Kuniaki and Yamamoto, Shohei and Ushiku, Yoshitaka and Harada, Tatsuya},
title = {Open Set Domain Adaptation by Backpropagation},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Learn-to-Score: Efficient 3D Scene Exploration by Predicting View Utility- Hepp, Benjamin and Dey, Debadeepta and Sinha, Sudipta N. and Kapoor, Ashish and Joshi, Neel and Hilliges, Otmar
- [pdf]
[bibtex]@InProceedings{Hepp_2018_ECCV,
author = {Hepp, Benjamin and Dey, Debadeepta and Sinha, Sudipta N. and Kapoor, Ashish and Joshi, Neel and Hilliges, Otmar},
title = {Learn-to-Score: Efficient 3D Scene Exploration by Predicting View Utility},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Accurate Scene Text Detection through Border Semantics Awareness and Bootstrapping- Xue, Chuhui and Lu, Shijian and Zhan, Fangneng
- [pdf]
[bibtex]@InProceedings{Xue_2018_ECCV,
author = {Xue, Chuhui and Lu, Shijian and Zhan, Fangneng},
title = {Accurate Scene Text Detection through Border Semantics Awareness and Bootstrapping},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Deep Image Demosaicking using a Cascade of Convolutional Residual Denoising Networks- Kokkinos, Filippos and Lefkimmiatis, Stamatios
- [pdf]
[bibtex]@InProceedings{Kokkinos_2018_ECCV,
author = {Kokkinos, Filippos and Lefkimmiatis, Stamatios},
title = {Deep Image Demosaicking using a Cascade of Convolutional Residual Denoising Networks},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Good Line Cutting: towards Accurate Pose Tracking of Line-assisted VO/VSLAM- Zhao, Yipu and Vela, Patricio A.
- [pdf]
[bibtex]@InProceedings{Zhao_2018_ECCV,
author = {Zhao, Yipu and Vela, Patricio A.},
title = {Good Line Cutting: towards Accurate Pose Tracking of Line-assisted VO/VSLAM},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Constraint-Aware Deep Neural Network Compression- Chen, Changan and Tung, Frederick and Vedula, Naveen and Mori, Greg
- [pdf]
[bibtex]@InProceedings{Chen_2018_ECCV,
author = {Chen, Changan and Tung, Frederick and Vedula, Naveen and Mori, Greg},
title = {Constraint-Aware Deep Neural Network Compression},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Boosted Attention: Leveraging Human Attention for Image Captioning- Chen, Shi and Zhao, Qi
- [pdf]
[bibtex]@InProceedings{Chen_2018_ECCV,
author = {Chen, Shi and Zhao, Qi},
title = {Boosted Attention: Leveraging Human Attention for Image Captioning},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Understanding Perceptual and Conceptual Fluency at a Large Scale- Hu, Shengli and Borji, Ali
- [pdf]
[bibtex]@InProceedings{Hu_2018_ECCV,
author = {Hu, Shengli and Borji, Ali},
title = {Understanding Perceptual and Conceptual Fluency at a Large Scale},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
MaskConnect: Connectivity Learning by Gradient Descent- Ahmed, Karim and Torresani, Lorenzo
- [pdf]
[bibtex]@InProceedings{Ahmed_2018_ECCV,
author = {Ahmed, Karim and Torresani, Lorenzo},
title = {MaskConnect: Connectivity Learning by Gradient Descent},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Exploring Visual Relationship for Image Captioning- Yao, Ting and Pan, Yingwei and Li, Yehao and Mei, Tao
- [pdf]
[bibtex]@InProceedings{Yao_2018_ECCV,
author = {Yao, Ting and Pan, Yingwei and Li, Yehao and Mei, Tao},
title = {Exploring Visual Relationship for Image Captioning},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Diagnosing Error in Temporal Action Detectors- Alwassel, Humam and Caba Heilbron, Fabian and Escorcia, Victor and Ghanem, Bernard
- [pdf]
[bibtex]@InProceedings{Alwassel_2018_ECCV,
author = {Alwassel, Humam and Caba Heilbron, Fabian and Escorcia, Victor and Ghanem, Bernard},
title = {Diagnosing Error in Temporal Action Detectors},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Efficient Semantic Scene Completion Network with Spatial Group Convolution- Zhang, Jiahui and Zhao, Hao and Yao, Anbang and Chen, Yurong and Zhang, Li and Liao, Hongen
- [pdf]
[bibtex]@InProceedings{Zhang_2018_ECCV,
author = {Zhang, Jiahui and Zhao, Hao and Yao, Anbang and Chen, Yurong and Zhang, Li and Liao, Hongen},
title = {Efficient Semantic Scene Completion Network with Spatial Group Convolution},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Task-driven Webpage Saliency- Zheng, Quanlong and Jiao, Jianbo and Cao, Ying and Lau, Rynson W.H.
- [pdf]
[bibtex]@InProceedings{Zheng_2018_ECCV,
author = {Zheng, Quanlong and Jiao, Jianbo and Cao, Ying and Lau, Rynson W.H.},
title = {Task-driven Webpage Saliency},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Multi-Scale Context Intertwining for Semantic Segmentation- Lin, Di and Ji, Yuanfeng and Lischinski, Dani and Cohen-Or, Daniel and Huang, Hui
- [pdf]
[bibtex]@InProceedings{Lin_2018_ECCV,
author = {Lin, Di and Ji, Yuanfeng and Lischinski, Dani and Cohen-Or, Daniel and Huang, Hui},
title = {Multi-Scale Context Intertwining for Semantic Segmentation},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Multiple-gaze geometry: Inferring novel 3D locations from gazes observed in monocular video- Brau, Ernesto and Guan, Jinyan and Jeffries, Tanya and Barnard, Kobus
- [pdf]
[bibtex]@InProceedings{Brau_2018_ECCV,
author = {Brau, Ernesto and Guan, Jinyan and Jeffries, Tanya and Barnard, Kobus},
title = {Multiple-gaze geometry: Inferring novel 3D locations from gazes observed in monocular video},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
HybridFusion: Real-Time Performance Capture Using a Single Depth Sensor and Sparse IMUs- Zheng, Zerong and Yu, Tao and Li, Hao and Guo, Kaiwen and Dai, Qionghai and Fang, Lu and Liu, Yebin
- [pdf]
[bibtex]@InProceedings{Zheng_2018_ECCV,
author = {Zheng, Zerong and Yu, Tao and Li, Hao and Guo, Kaiwen and Dai, Qionghai and Fang, Lu and Liu, Yebin},
title = {HybridFusion: Real-Time Performance Capture Using a Single Depth Sensor and Sparse IMUs},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Macro-Micro Adversarial Network for Human Parsing- Luo, Yawei and Zheng, Zhedong and Zheng, Liang and Guan, Tao and Yu, Junqing and Yang, Yi
- [pdf]
[bibtex]@InProceedings{Luo_2018_ECCV,
author = {Luo, Yawei and Zheng, Zhedong and Zheng, Liang and Guan, Tao and Yu, Junqing and Yang, Yi},
title = {Macro-Micro Adversarial Network for Human Parsing},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Pivot Correlational Neural Network for Multimodal Video Categorization- Kang, Sunghun and Kim, Junyeong and Choi, Hyunsoo and Kim, Sungjin and Yoo, Chang D.
- [pdf]
[bibtex]@InProceedings{Kang_2018_ECCV,
author = {Kang, Sunghun and Kim, Junyeong and Choi, Hyunsoo and Kim, Sungjin and Yoo, Chang D.},
title = {Pivot Correlational Neural Network for Multimodal Video Categorization},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Semantically Aware Urban 3D Reconstruction with Plane-Based Regularization- Holzmann, Thomas and Maurer, Michael and Fraundorfer, Friedrich and Bischof, Horst
- [pdf]
[bibtex]@InProceedings{Holzmann_2018_ECCV,
author = {Holzmann, Thomas and Maurer, Michael and Fraundorfer, Friedrich and Bischof, Horst},
title = {Semantically Aware Urban 3D Reconstruction with Plane-Based Regularization},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
AugGAN: Cross Domain Adaptation with GAN-based Data Augmentation- Huang, Sheng-Wei and Lin, Che-Tsung and Chen, Shu-Ping and Wu, Yen-Yi and Hsu, Po-Hao and Lai, Shang-Hong
- [pdf]
[bibtex]@InProceedings{Huang_2018_ECCV,
author = {Huang, Sheng-Wei and Lin, Che-Tsung and Chen, Shu-Ping and Wu, Yen-Yi and Hsu, Po-Hao and Lai, Shang-Hong},
title = {AugGAN: Cross Domain Adaptation with GAN-based Data Augmentation},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Unsupervised Domain Adaptation for Semantic Segmentation via Class-Balanced Self-Training- Zou, Yang and Yu, Zhiding and Vijaya Kumar, B.V.K. and Wang, Jinsong
- [pdf]
[bibtex]@InProceedings{Zou_2018_ECCV,
author = {Zou, Yang and Yu, Zhiding and Vijaya Kumar, B.V.K. and Wang, Jinsong},
title = {Unsupervised Domain Adaptation for Semantic Segmentation via Class-Balanced Self-Training},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Fictitious GAN: Training GANs with Historical Models- Ge, Hao and Xia, Yin and Chen, Xu and Berry, Randall and Wu, Ying
- [pdf]
[bibtex]@InProceedings{Ge_2018_ECCV,
author = {Ge, Hao and Xia, Yin and Chen, Xu and Berry, Randall and Wu, Ying},
title = {Fictitious GAN: Training GANs with Historical Models},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Perturbation Robust Representations of Topological Persistence Diagrams- Som, Anirudh and Thopalli, Kowshik and Natesan Ramamurthy, Karthikeyan and Venkataraman, Vinay and Shukla, Ankita and Turaga, Pavan
- [pdf]
[bibtex]@InProceedings{Som_2018_ECCV,
author = {Som, Anirudh and Thopalli, Kowshik and Natesan Ramamurthy, Karthikeyan and Venkataraman, Vinay and Shukla, Ankita and Turaga, Pavan},
title = {Perturbation Robust Representations of Topological Persistence Diagrams},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
DPP-Net: Device-aware Progressive Search for Pareto-optimal Neural Architectures- Dong, Jin-Dong and Cheng, An-Chieh and Juan, Da-Cheng and Wei, Wei and Sun, Min
- [pdf]
[bibtex]@InProceedings{Dong_2018_ECCV,
author = {Dong, Jin-Dong and Cheng, An-Chieh and Juan, Da-Cheng and Wei, Wei and Sun, Min},
title = {DPP-Net: Device-aware Progressive Search for Pareto-optimal Neural Architectures},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
SketchyScene: Richly-Annotated Scene Sketches- Zou, Changqing and Yu, Qian and Du, Ruofei and Mo, Haoran and Song, Yi-Zhe and Xiang, Tao and Gao, Chengying and Chen, Baoquan and Zhang, Hao
- [pdf]
[bibtex]@InProceedings{Zou_2018_ECCV,
author = {Zou, Changqing and Yu, Qian and Du, Ruofei and Mo, Haoran and Song, Yi-Zhe and Xiang, Tao and Gao, Chengying and Chen, Baoquan and Zhang, Hao},
title = {SketchyScene: Richly-Annotated Scene Sketches},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Contour Knowledge Transfer for Salient Object Detection- Li, Xin and Yang, Fan and Cheng, Hong and Liu, Wei and Shen, Dinggang
- [pdf]
[bibtex]@InProceedings{Li_2018_ECCV,
author = {Li, Xin and Yang, Fan and Cheng, Hong and Liu, Wei and Shen, Dinggang},
title = {Contour Knowledge Transfer for Salient Object Detection},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Scenes-Objects-Actions: A Multi-Task, Multi-Label Video Dataset- Ray, Jamie and Wang, Heng and Tran, Du and Wang, Yufei and Feiszli, Matt and Torresani, Lorenzo and Paluri, Manohar
- [pdf]
[bibtex]@InProceedings{Ray_2018_ECCV,
author = {Ray, Jamie and Wang, Heng and Tran, Du and Wang, Yufei and Feiszli, Matt and Torresani, Lorenzo and Paluri, Manohar},
title = {Scenes-Objects-Actions: A Multi-Task, Multi-Label Video Dataset},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Saliency Detection in 360° Videos- Zhang, Ziheng and Xu, Yanyu and Yu, Jingyi and Gao, Shenghua
- [pdf]
[bibtex]@InProceedings{Zhang_2018_ECCV,
author = {Zhang, Ziheng and Xu, Yanyu and Yu, Jingyi and Gao, Shenghua},
title = {Saliency Detection in 360° Videos},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
DetNet: Design Backbone for Object Detection- Li, Zeming and Peng, Chao and Yu, Gang and Zhang, Xiangyu and Deng, Yangdong and Sun, Jian
- [pdf]
[bibtex]@InProceedings{Li_2018_ECCV,
author = {Li, Zeming and Peng, Chao and Yu, Gang and Zhang, Xiangyu and Deng, Yangdong and Sun, Jian},
title = {DetNet: Design Backbone for Object Detection},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Facial Dynamics Interpreter Network: What are the Important Relations between Local Dynamics for Facial Trait Estimation?- Tae Kim, Seong and Man Ro, Yong
- [pdf]
[bibtex]@InProceedings{Kim_2018_ECCV,
author = {Tae Kim, Seong and Man Ro, Yong},
title = {Facial Dynamics Interpreter Network: What are the Important Relations between Local Dynamics for Facial Trait Estimation?},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Video Object Segmentation by Learning Location-Sensitive Embeddings- Ci, Hai and Wang, Chunyu and Wang, Yizhou
- [pdf]
[bibtex]@InProceedings{Ci_2018_ECCV,
author = {Ci, Hai and Wang, Chunyu and Wang, Yizhou},
title = {Video Object Segmentation by Learning Location-Sensitive Embeddings},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Transferable Adversarial Perturbations- Zhou, Wen and Hou, Xin and Chen, Yongjun and Tang, Mengyun and Huang, Xiangqi and Gan, Xiang and Yang, Yong
- [pdf]
[bibtex]@InProceedings{Zhou_2018_ECCV,
author = {Zhou, Wen and Hou, Xin and Chen, Yongjun and Tang, Mengyun and Huang, Xiangqi and Gan, Xiang and Yang, Yong},
title = {Transferable Adversarial Perturbations},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
A Segmentation-aware Deep Fusion Network for Compressed Sensing MRI- Fan, Zhiwen and Sun, Liyan and Ding, Xinghao and Huang, Yue and Cai, Congbo and Paisley, John
- [pdf]
[bibtex]@InProceedings{Fan_2018_ECCV,
author = {Fan, Zhiwen and Sun, Liyan and Ding, Xinghao and Huang, Yue and Cai, Congbo and Paisley, John},
title = {A Segmentation-aware Deep Fusion Network for Compressed Sensing MRI},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
GANimation: Anatomically-aware Facial Animation from a Single Image- Pumarola, Albert and Agudo, Antonio and Martinez, Aleix M. and Sanfeliu, Alberto and Moreno-Noguer, Francesc
- [pdf]
[bibtex]@InProceedings{Pumarola_2018_ECCV,
author = {Pumarola, Albert and Agudo, Antonio and Martinez, Aleix M. and Sanfeliu, Alberto and Moreno-Noguer, Francesc},
title = {GANimation: Anatomically-aware Facial Animation from a Single Image},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Graph R-CNN for Scene Graph Generation- Yang, Jianwei and Lu, Jiasen and Lee, Stefan and Batra, Dhruv and Parikh, Devi
- [pdf]
[bibtex]@InProceedings{Yang_2018_ECCV,
author = {Yang, Jianwei and Lu, Jiasen and Lee, Stefan and Batra, Dhruv and Parikh, Devi},
title = {Graph R-CNN for Scene Graph Generation},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Interpretable Basis Decomposition for Visual Explanation- Zhou, Bolei and Sun, Yiyou and Bau, David and Torralba, Antonio
- [pdf]
[bibtex]@InProceedings{Zhou_2018_ECCV,
author = {Zhou, Bolei and Sun, Yiyou and Bau, David and Torralba, Antonio},
title = {Interpretable Basis Decomposition for Visual Explanation},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Reinforced Temporal Attention and Split-Rate Transfer for Depth-Based Person Re-Identification- Karianakis, Nikolaos and Liu, Zicheng and Chen, Yinpeng and Soatto, Stefano
- [pdf]
[bibtex]@InProceedings{Karianakis_2018_ECCV,
author = {Karianakis, Nikolaos and Liu, Zicheng and Chen, Yinpeng and Soatto, Stefano},
title = {Reinforced Temporal Attention and Split-Rate Transfer for Depth-Based Person Re-Identification},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
ArticulatedFusion: Real-time Reconstruction of Motion, Geometry and Segmentation Using a Single Depth Camera- Li, Chao and Zhao, Zheheng and Guo, Xiaohu
- [pdf]
[bibtex]@InProceedings{Li_2018_ECCV,
author = {Li, Chao and Zhao, Zheheng and Guo, Xiaohu},
title = {ArticulatedFusion: Real-time Reconstruction of Motion, Geometry and Segmentation Using a Single Depth Camera},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Deep Metric Learning with Hierarchical Triplet Loss- Ge, Weifeng
- [pdf]
[bibtex]@InProceedings{Ge_2018_ECCV,
author = {Ge, Weifeng},
title = {Deep Metric Learning with Hierarchical Triplet Loss},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Deep Directional Statistics: Pose Estimation with Uncertainty Quantification- Prokudin, Sergey and Gehler, Peter and Nowozin, Sebastian
- [pdf]
[bibtex]@InProceedings{Prokudin_2018_ECCV,
author = {Prokudin, Sergey and Gehler, Peter and Nowozin, Sebastian},
title = {Deep Directional Statistics: Pose Estimation with Uncertainty Quantification},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Semantic Match Consistency for Long-Term Visual Localization- Toft, Carl and Stenborg, Erik and Hammarstrand, Lars and Brynte, Lucas and Pollefeys, Marc and Sattler, Torsten and Kahl, Fredrik
- [pdf]
[bibtex]@InProceedings{Toft_2018_ECCV,
author = {Toft, Carl and Stenborg, Erik and Hammarstrand, Lars and Brynte, Lucas and Pollefeys, Marc and Sattler, Torsten and Kahl, Fredrik},
title = {Semantic Match Consistency for Long-Term Visual Localization},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Decouple Learning for Parameterized Image Operators- Fan, Qingnan and Chen, Dongdong and Yuan, Lu and Hua, Gang and Yu, Nenghai and Chen, Baoquan
- [pdf]
[bibtex]@InProceedings{Fan_2018_ECCV,
author = {Fan, Qingnan and Chen, Dongdong and Yuan, Lu and Hua, Gang and Yu, Nenghai and Chen, Baoquan},
title = {Decouple Learning for Parameterized Image Operators},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Structural Consistency and Controllability for Diverse Colorization- Messaoud, Safa and Forsyth, David and Schwing, Alexander G.
- [pdf]
[bibtex]@InProceedings{Messaoud_2018_ECCV,
author = {Messaoud, Safa and Forsyth, David and Schwing, Alexander G.},
title = {Structural Consistency and Controllability for Diverse Colorization},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Deep Component Analysis via Alternating Direction Neural Networks- Murdock, Calvin and Chang, MingFang and Lucey, Simon
- [pdf]
[bibtex]@InProceedings{Murdock_2018_ECCV,
author = {Murdock, Calvin and Chang, MingFang and Lucey, Simon},
title = {Deep Component Analysis via Alternating Direction Neural Networks},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Maximum Margin Metric Learning Over Discriminative Nullspace for Person Re-identification- M Feroz Ali, T and Chaudhuri, Subhasis
- [pdf]
[bibtex]@InProceedings{Ali_2018_ECCV,
author = {M Feroz Ali, T and Chaudhuri, Subhasis},
title = {Maximum Margin Metric Learning Over Discriminative Nullspace for Person Re-identification},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Pose-Normalized Image Generation for Person Re-identification- Qian, Xuelin and Fu, Yanwei and Xiang, Tao and Wang, Wenxuan and Qiu, Jie and Wu, Yang and Jiang, Yu-Gang and Xue, Xiangyang
- [pdf]
[bibtex]@InProceedings{Qian_2018_ECCV,
author = {Qian, Xuelin and Fu, Yanwei and Xiang, Tao and Wang, Wenxuan and Qiu, Jie and Wu, Yang and Jiang, Yu-Gang and Xue, Xiangyang},
title = {Pose-Normalized Image Generation for Person Re-identification},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Cross-Modal Hamming Hashing- Cao, Yue and Liu, Bin and Long, Mingsheng and Wang, Jianmin
- [pdf]
[bibtex]@InProceedings{Cao_2018_ECCV,
author = {Cao, Yue and Liu, Bin and Long, Mingsheng and Wang, Jianmin},
title = {Cross-Modal Hamming Hashing},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Modeling Visual Context is Key to Augmenting Object Detection Datasets- Dvornik, Nikita and Mairal, Julien and Schmid, Cordelia
- [pdf]
[bibtex]@InProceedings{Dvornik_2018_ECCV,
author = {Dvornik, Nikita and Mairal, Julien and Schmid, Cordelia},
title = {Modeling Visual Context is Key to Augmenting Object Detection Datasets},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
ReenactGAN: Learning to Reenact Faces via Boundary Transfer- Wu, Wayne and Zhang, Yunxuan and Li, Cheng and Qian, Chen and Change Loy, Chen
- [pdf]
[bibtex]@InProceedings{Wu_2018_ECCV,
author = {Wu, Wayne and Zhang, Yunxuan and Li, Cheng and Qian, Chen and Change Loy, Chen},
title = {ReenactGAN: Learning to Reenact Faces via Boundary Transfer},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Universal Sketch Perceptual Grouping- Li, Ke and Pang, Kaiyue and Song, Jifei and Song, Yi-Zhe and Xiang, Tao and Hospedales, Timothy M. and Zhang, Honggang
- [pdf]
[bibtex]@InProceedings{Li_2018_ECCV,
author = {Li, Ke and Pang, Kaiyue and Song, Jifei and Song, Yi-Zhe and Xiang, Tao and Hospedales, Timothy M. and Zhang, Honggang},
title = {Universal Sketch Perceptual Grouping},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Compositional Learning for Human Object Interaction- Kato, Keizo and Li, Yin and Gupta, Abhinav
- [pdf]
[bibtex]@InProceedings{Kato_2018_ECCV,
author = {Kato, Keizo and Li, Yin and Gupta, Abhinav},
title = {Compositional Learning for Human Object Interaction},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}