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

Front Matter ....Pages i-xlii
 EfficientFCN: Holistically-Guided Decoding for Semantic Segmentation  (Jianbo Liu, Junjun He, Jiawei Zhang, Jimmy S. Ren, Hongsheng Li)....Pages 1-17
 GroSS: Group-Size Series Decomposition for Grouped Architecture Search  (Henry Howard-Jenkins, Yiwen Li, Victor Adrian Prisacariu)....Pages 18-33
 Efficient Adversarial Attacks for Visual Object Tracking  (Siyuan Liang, Xingxing Wei, Siyuan Yao, Xiaochun Cao)....Pages 34-50
 Globally-Optimal Event Camera Motion Estimation  (Xin Peng, Yifu Wang, Ling Gao, Laurent Kneip)....Pages 51-67
 Weakly-Supervised Learning of Human Dynamics  (Petrissa Zell, Bodo Rosenhahn, Bastian Wandt)....Pages 68-84
 Journey Towards Tiny Perceptual Super-Resolution  (Royson Lee, Łukasz Dudziak, Mohamed Abdelfattah, Stylianos I. Venieris, Hyeji Kim, Hongkai Wen et al.)....Pages 85-102
 What Makes Fake Images Detectable? Understanding Properties that Generalize  (Lucy Chai, David Bau, Ser-Nam Lim, Phillip Isola)....Pages 103-120
 Embedding Propagation: Smoother Manifold for Few-Shot Classification  (Pau Rodríguez, Issam Laradji, Alexandre Drouin, Alexandre Lacoste)....Pages 121-138
 Category Level Object Pose Estimation via Neural Analysis-by-Synthesis  (Xu Chen, Zijian Dong, Jie Song, Andreas Geiger, Otmar Hilliges)....Pages 139-156
 High-Fidelity Synthesis with Disentangled Representation  (Wonkwang Lee, Donggyun Kim, Seunghoon Hong, Honglak Lee)....Pages 157-174
 PL\(_1\)P - Point-Line Minimal Problems Under Partial Visibility in Three Views  (Timothy Duff, Kathlén Kohn, Anton Leykin, Tomas Pajdla)....Pages 175-192
 Prediction and Recovery for Adaptive Low-Resolution Person Re-Identification  (Ke Han, Yan Huang, Zerui Chen, Liang Wang, Tieniu Tan)....Pages 193-209
 Learning Canonical Representations for Scene Graph to Image Generation  (Roei Herzig, Amir Bar, Huijuan Xu, Gal Chechik, Trevor Darrell, Amir Globerson)....Pages 210-227
 Adversarial Robustness on In- and Out-Distribution Improves Explainability  (Maximilian Augustin, Alexander Meinke, Matthias Hein)....Pages 228-245
 Deformable Style Transfer  (Sunnie S. Y. Kim, Nicholas Kolkin, Jason Salavon, Gregory Shakhnarovich)....Pages 246-261
 Aligning Videos in Space and Time  (Senthil Purushwalkam, Tian Ye, Saurabh Gupta, Abhinav Gupta)....Pages 262-278
 Neural Wireframe Renderer: Learning Wireframe to Image Translations  (Yuan Xue, Zihan Zhou, Xiaolei Huang)....Pages 279-295
 RBF-Softmax: Learning Deep Representative Prototypes with Radial Basis Function Softmax  (Xiao Zhang, Rui Zhao, Yu Qiao, Hongsheng Li)....Pages 296-311
 Testing the Safety of Self-driving Vehicles by Simulating Perception and Prediction  (Kelvin Wong, Qiang Zhang, Ming Liang, Bin Yang, Renjie Liao, Abbas Sadat et al.)....Pages 312-329
 Determining the Relevance of Features for Deep Neural Networks  (Christian Reimers, Jakob Runge, Joachim Denzler)....Pages 330-346
 Weakly Supervised Semantic Segmentation with Boundary Exploration  (Liyi Chen, Weiwei Wu, Chenchen Fu, Xiao Han, Yuntao Zhang)....Pages 347-362
 GANHopper: Multi-hop GAN for Unsupervised Image-to-Image Translation  (Wallace Lira, Johannes Merz, Daniel Ritchie, Daniel Cohen-Or, Hao Zhang)....Pages 363-379
 DOPE: Distillation of Part Experts for Whole-Body 3D Pose Estimation in the Wild  (Philippe Weinzaepfel, Romain Brégier, Hadrien Combaluzier, Vincent Leroy, Grégory Rogez)....Pages 380-397
 Multi-view Adaptive Graph Convolutions for Graph Classification  (Nikolas Adaloglou, Nicholas Vretos, Petros Daras)....Pages 398-414
 Instance Adaptive Self-training for Unsupervised Domain Adaptation  (Ke Mei, Chuang Zhu, Jiaqi Zou, Shanghang Zhang)....Pages 415-430
 Weight Decay Scheduling and Knowledge Distillation for Active Learning  (Juseung Yun, Byungjoo Kim, Junmo Kim)....Pages 431-447
 HMQ: Hardware Friendly Mixed Precision Quantization Block for CNNs  (Hai Victor Habi, Roy H. Jennings, Arnon Netzer)....Pages 448-463
 Truncated Inference for Latent Variable Optimization Problems: Application to Robust Estimation and Learning  (Christopher Zach, Huu Le)....Pages 464-480
 Geometry Constrained Weakly Supervised Object Localization  (Weizeng Lu, Xi Jia, Weicheng Xie, Linlin Shen, Yicong Zhou, Jinming Duan)....Pages 481-496
 Duality Diagram Similarity: A Generic Framework for Initialization Selection in Task Transfer Learning  (Kshitij Dwivedi, Jiahui Huang, Radoslaw Martin Cichy, Gemma Roig)....Pages 497-513
 OneGAN: Simultaneous Unsupervised Learning of Conditional Image Generation, Foreground Segmentation, and Fine-Grained Clustering  (Yaniv Benny, Lior Wolf)....Pages 514-530
 Mining Self-similarity: Label Super-Resolution with Epitomic Representations  (Nikolay Malkin, Anthony Ortiz, Nebojsa Jojic)....Pages 531-547
 AE-OT-GAN: Training GANs from Data Specific Latent Distribution  (Dongsheng An, Yang Guo, Min Zhang, Xin Qi, Na Lei, Xianfang Gu)....Pages 548-564
 Null-Sampling for Interpretable and Fair Representations  (Thomas Kehrenberg, Myles Bartlett, Oliver Thomas, Novi Quadrianto)....Pages 565-580
 Guiding Monocular Depth Estimation Using Depth-Attention Volume  (Lam Huynh, Phong Nguyen-Ha, Jiri Matas, Esa Rahtu, Janne Heikkilä)....Pages 581-597
 Tracking Emerges by Looking Around Static Scenes, with Neural 3D Mapping  (Adam W. Harley, Shrinidhi Kowshika Lakshmikanth, Paul Schydlo, Katerina Fragkiadaki)....Pages 598-614
 Boosting Weakly Supervised Object Detection with Progressive Knowledge Transfer  (Yuanyi Zhong, Jianfeng Wang, Jian Peng, Lei Zhang)....Pages 615-631
 BézierSketch: A Generative Model for Scalable Vector Sketches  (Ayan Das, Yongxin Yang, Timothy Hospedales, Tao Xiang, Yi-Zhe Song)....Pages 632-647
 Semantic Relation Preserving Knowledge Distillation for Image-to-Image Translation  (Zeqi Li, Ruowei Jiang, Parham Aarabi)....Pages 648-663
 Domain Adaptation Through Task Distillation  (Brady Zhou, Nimit Kalra, Philipp Krähenbühl)....Pages 664-680
 PatchAttack: A Black-Box Texture-Based Attack with Reinforcement Learning  (Chenglin Yang, Adam Kortylewski, Cihang Xie, Yinzhi Cao, Alan Yuille)....Pages 681-698
 More Classifiers, Less Forgetting: A Generic Multi-classifier Paradigm for Incremental Learning  (Yu Liu, Sarah Parisot, Gregory Slabaugh, Xu Jia, Ales Leonardis, Tinne Tuytelaars)....Pages 699-716
 Extending and Analyzing Self-supervised Learning Across Domains  (Bram Wallace, Bharath Hariharan)....Pages 717-734
 Multi-source Open-Set Deep Adversarial Domain Adaptation  (Sayan Rakshit, Dipesh Tamboli, Pragati Shuddhodhan Meshram, Biplab Banerjee, Gemma Roig, Subhasis Chaudhuri)....Pages 735-750
 Neural Batch Sampling with Reinforcement Learning for Semi-supervised Anomaly Detection  (Wen-Hsuan Chu, Kris M. Kitani)....Pages 751-766
 LEMMA: A Multi-view Dataset for LEarning Multi-agent Multi-task Activities  (Baoxiong Jia, Yixin Chen, Siyuan Huang, Yixin Zhu, Song-Chun Zhu)....Pages 767-786
Back Matter ....Pages 787-789