Computer Vision – ECCV 2020: 16th European Conference, Glasgow, UK, August 23–28, 2020, Proceedings, Part X

Front Matter ....Pages i-xlii
 Discriminability Distillation in Group Representation Learning  (Manyuan Zhang, Guanglu Song, Hang Zhou, Yu Liu)....Pages 1-19
 Monocular Expressive Body Regression Through Body-Driven Attention  (Vasileios Choutas, Georgios Pavlakos, Timo Bolkart, Dimitrios Tzionas, Michael J. Black)....Pages 20-40
 Dual Adversarial Network: Toward Real-World Noise Removal and Noise Generation  (Zongsheng Yue, Qian Zhao, Lei Zhang, Deyu Meng)....Pages 41-58
 Linguistic Structure Guided Context Modeling for Referring Image Segmentation  (Tianrui Hui, Si Liu, Shaofei Huang, Guanbin Li, Sansi Yu, Faxi Zhang et al.)....Pages 59-75
 Federated Visual Classification with Real-World Data Distribution  (Tzu-Ming Harry Hsu, Hang Qi, Matthew Brown)....Pages 76-92
 Robust Re-Identification by Multiple Views Knowledge Distillation  (Angelo Porrello, Luca Bergamini, Simone Calderara)....Pages 93-110
 Defocus Deblurring Using Dual-Pixel Data  (Abdullah Abuolaim, Michael S. Brown)....Pages 111-126
 RhyRNN: Rhythmic RNN for Recognizing Events in Long and Complex Videos  (Tianshu Yu, Yikang Li, Baoxin Li)....Pages 127-144
 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 et al.)....Pages 145-163
 Weighing Counts: Sequential Crowd Counting by Reinforcement Learning  (Liang Liu, Hao Lu, Hongwei Zou, Haipeng Xiong, Zhiguo Cao, Chunhua Shen)....Pages 164-181
 Reflection Backdoor: A Natural Backdoor Attack on Deep Neural Networks  (Yunfei Liu, Xingjun Ma, James Bailey, Feng Lu)....Pages 182-199
 Learning to Learn with Variational Information Bottleneck for Domain Generalization  (Yingjun Du, Jun Xu, Huan Xiong, Qiang Qiu, Xiantong Zhen, Cees G. M. Snoek et al.)....Pages 200-216
 Deep Positional and Relational Feature Learning for Rotation-Invariant Point Cloud Analysis  (Ruixuan Yu, Xin Wei, Federico Tombari, Jian Sun)....Pages 217-233
 Thanks for Nothing: Predicting Zero-Valued Activations with Lightweight Convolutional Neural Networks  (Gil Shomron, Ron Banner, Moran Shkolnik, Uri Weiser)....Pages 234-250
 Layered Neighborhood Expansion for Incremental Multiple Graph Matching  (Zixuan Chen, Zhihui Xie, Junchi Yan, Yinqiang Zheng, Xiaokang Yang)....Pages 251-267
 SCAN: Learning to Classify Images Without Labels  (Wouter Van Gansbeke, Simon Vandenhende, Stamatios Georgoulis, Marc Proesmans, Luc Van Gool)....Pages 268-285
 Graph Convolutional Networks for Learning with Few Clean and Many Noisy Labels  (Ahmet Iscen, Giorgos Tolias, Yannis Avrithis, Ondřej Chum, Cordelia Schmid)....Pages 286-302
 Object-and-Action Aware Model for Visual Language Navigation  (Yuankai Qi, Zizheng Pan, Shengping Zhang, Anton van den Hengel, Qi Wu)....Pages 303-317
 A Comprehensive Study of Weight Sharing in Graph Networks for 3D Human Pose Estimation  (Kenkun Liu, Rongqi Ding, Zhiming Zou, Le Wang, Wei Tang)....Pages 318-334
 MuCAN: Multi-correspondence Aggregation Network for Video Super-Resolution  (Wenbo Li, Xin Tao, Taian Guo, Lu Qi, Jiangbo Lu, Jiaya Jia)....Pages 335-351
 Efficient Semantic Video Segmentation with Per-Frame Inference  (Yifan Liu, Chunhua Shen, Changqian Yu, Jingdong Wang)....Pages 352-368
 Increasing the Robustness of Semantic Segmentation Models with Painting-by-Numbers  (Christoph Kamann, Carsten Rother)....Pages 369-387
 Deep Spiking Neural Network: Energy Efficiency Through Time Based Coding  (Bing Han, Kaushik Roy)....Pages 388-404
 InfoFocus: 3D Object Detection for Autonomous Driving with Dynamic Information Modeling  (Jun Wang, Shiyi Lan, Mingfei Gao, Larry S. Davis)....Pages 405-420
 Utilizing Patch-Level Category Activation Patterns for Multiple Class Novelty Detection  (Poojan Oza, Vishal M. Patel)....Pages 421-437
 People as Scene Probes  (Yifan Wang, Brian L. Curless, Steven M. Seitz)....Pages 438-454
 Mapping in a Cycle: Sinkhorn Regularized Unsupervised Learning for Point Cloud Shapes  (Lei Yang, Wenxi Liu, Zhiming Cui, Nenglun Chen, Wenping Wang)....Pages 455-472
 Label-Efficient Learning on Point Clouds Using Approximate Convex Decompositions  (Matheus Gadelha, Aruni RoyChowdhury, Gopal Sharma, Evangelos Kalogerakis, Liangliang Cao, Erik Learned-Miller et al.)....Pages 473-491
 TexMesh: Reconstructing Detailed Human Texture and Geometry from RGB-D Video  (Tiancheng Zhi, Christoph Lassner, Tony Tung, Carsten Stoll, Srinivasa G. Narasimhan, Minh Vo)....Pages 492-509
 Consistency-Based Semi-supervised Active Learning: Towards Minimizing Labeling Cost  (Mingfei Gao, Zizhao Zhang, Guo Yu, Sercan Ö. Arık, Larry S. Davis, Tomas Pfister)....Pages 510-526
 Point-Set Anchors for Object Detection, Instance Segmentation and Pose Estimation  (Fangyun Wei, Xiao Sun, Hongyang Li, Jingdong Wang, Stephen Lin)....Pages 527-544
 Modeling 3D Shapes by Reinforcement Learning  (Cheng Lin, Tingxiang Fan, Wenping Wang, Matthias Nießner)....Pages 545-561
 LST-Net: Learning a Convolutional Neural Network with a Learnable Sparse Transform  (Lida Li, Kun Wang, Shuai Li, Xiangchu Feng, Lei Zhang)....Pages 562-579
 Learning What Makes a Difference from Counterfactual Examples and Gradient Supervision  (Damien Teney, Ehsan Abbasnedjad, Anton van den Hengel)....Pages 580-599
 CN: Channel Normalization for Point Cloud Recognition  (Zetong Yang, Yanan Sun, Shu Liu, Xiaojuan Qi, Jiaya Jia)....Pages 600-616
 Rethinking the Defocus Blur Detection Problem and a Real-Time Deep DBD Model  (Ning Zhang, Junchi Yan)....Pages 617-632
 AutoMix: Mixup Networks for Sample Interpolation via Cooperative Barycenter Learning  (Jianchao Zhu, Liangliang Shi, Junchi Yan, Hongyuan Zha)....Pages 633-649
 Scene Text Image Super-Resolution in the Wild  (Wenjia Wang, Enze Xie, Xuebo Liu, Wenhai Wang, Ding Liang, Chunhua Shen et al.)....Pages 650-666
 Coupling Explicit and Implicit Surface Representations for Generative 3D Modeling  (Omid Poursaeed, Matthew Fisher, Noam Aigerman, Vladimir G. Kim)....Pages 667-683
 Learning Disentangled Representations with Latent Variation Predictability  (Xinqi Zhu, Chang Xu, Dacheng Tao)....Pages 684-700
 Deep Space-Time Video Upsampling Networks  (Jaeyeon Kang, Younghyun Jo, Seoung Wug Oh, Peter Vajda, Seon Joo Kim)....Pages 701-717
 Large-Scale Few-Shot Learning via Multi-modal Knowledge Discovery  (Shuo Wang, Jun Yue, Jianzhuang Liu, Qi Tian, Meng Wang)....Pages 718-734
 Fast Video Object Segmentation Using the Global Context Module  (Yu Li, Zhuoran Shen, Ying Shan)....Pages 735-750
 Uncertainty-Aware Weakly Supervised Action Detection from Untrimmed Videos  (Anurag Arnab, Chen Sun, Arsha Nagrani, Cordelia Schmid)....Pages 751-768
 Selecting Relevant Features from a Multi-domain Representation for Few-Shot Classification  (Nikita Dvornik, Cordelia Schmid, Julien Mairal)....Pages 769-786
Back Matter ....Pages 787-789