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ORCID16th ECCV 2020: Glasgow, UK - Volume 10
- Andrea Vedaldi
, Horst Bischof, Thomas Brox, Jan-Michael Frahm:
Computer Vision - ECCV 2020 - 16th European Conference, Glasgow, UK, August 23-28, 2020, Proceedings, Part X. Lecture Notes in Computer Science 12355, Springer 2020, ISBN 978-3-030-58606-5 - Manyuan Zhang, Guanglu Song, Hang Zhou, Yu Liu:
Discriminability Distillation in Group Representation Learning. 1-19 - Vasileios Choutas, Georgios Pavlakos, Timo Bolkart, Dimitrios Tzionas, Michael J. Black:
Monocular Expressive Body Regression Through Body-Driven Attention. 20-40 - Zongsheng Yue, Qian Zhao, Lei Zhang, Deyu Meng:
Dual Adversarial Network: Toward Real-World Noise Removal and Noise Generation. 41-58 - Tianrui Hui, Si Liu, Shaofei Huang, Guanbin Li, Sansi Yu, Faxi Zhang, Jizhong Han:
Linguistic Structure Guided Context Modeling for Referring Image Segmentation. 59-75 - Tzu-Ming Harry Hsu, Hang Qi, Matthew Brown:
Federated Visual Classification with Real-World Data Distribution. 76-92 - Angelo Porrello, Luca Bergamini, Simone Calderara:
Robust Re-Identification by Multiple Views Knowledge Distillation. 93-110 - Abdullah Abuolaim, Michael S. Brown:
Defocus Deblurring Using Dual-Pixel Data. 111-126 - Tianshu Yu, Yikang Li, Baoxin Li:
RhyRNN: Rhythmic RNN for Recognizing Events in Long and Complex Videos. 127-144 - Uttaran Bhattacharya, Christian Roncal, Trisha Mittal, Rohan Chandra, Kyra Kapsaskis, Kurt Gray, Aniket Bera, Dinesh Manocha:
Take an Emotion Walk: Perceiving Emotions from Gaits Using Hierarchical Attention Pooling and Affective Mapping. 145-163 - Liang Liu, Hao Lu, Hongwei Zou, Haipeng Xiong, Zhiguo Cao, Chunhua Shen:
Weighing Counts: Sequential Crowd Counting by Reinforcement Learning. 164-181 - Yunfei Liu, Xingjun Ma, James Bailey, Feng Lu:
Reflection Backdoor: A Natural Backdoor Attack on Deep Neural Networks. 182-199 - Ying-Jun Du, Jun Xu, Huan Xiong, Qiang Qiu, Xiantong Zhen, Cees G. M. Snoek, Ling Shao:
Learning to Learn with Variational Information Bottleneck for Domain Generalization. 200-216 - Ruixuan Yu, Xin Wei, Federico Tombari, Jian Sun:
Deep Positional and Relational Feature Learning for Rotation-Invariant Point Cloud Analysis. 217-233 - Gil Shomron, Ron Banner, Moran Shkolnik, Uri C. Weiser:
Thanks for Nothing: Predicting Zero-Valued Activations with Lightweight Convolutional Neural Networks. 234-250 - Zixuan Chen, Zhihui Xie, Junchi Yan, Yinqiang Zheng, Xiaokang Yang:
Layered Neighborhood Expansion for Incremental Multiple Graph Matching. 251-267 - Wouter Van Gansbeke, Simon Vandenhende, Stamatios Georgoulis, Marc Proesmans, Luc Van Gool:
SCAN: Learning to Classify Images Without Labels. 268-285 - Ahmet Iscen, Giorgos Tolias, Yannis Avrithis, Ondrej Chum, Cordelia Schmid:
Graph Convolutional Networks for Learning with Few Clean and Many Noisy Labels. 286-302 - Yuankai Qi, Zizheng Pan, Shengping Zhang, Anton van den Hengel, Qi Wu:
Object-and-Action Aware Model for Visual Language Navigation. 303-317 - Kenkun Liu, Rongqi Ding, Zhiming Zou, Le Wang, Wei Tang:
A Comprehensive Study of Weight Sharing in Graph Networks for 3D Human Pose Estimation. 318-334 - Wenbo Li, Xin Tao, Taian Guo, Lu Qi, Jiangbo Lu, Jiaya Jia:
MuCAN: Multi-correspondence Aggregation Network for Video Super-Resolution. 335-351 - Yifan Liu, Chunhua Shen, Changqian Yu, Jingdong Wang:
Efficient Semantic Video Segmentation with Per-Frame Inference. 352-368 - Christoph Kamann, Carsten Rother:
Increasing the Robustness of Semantic Segmentation Models with Painting-by-Numbers. 369-387 - Bing Han, Kaushik Roy:
Deep Spiking Neural Network: Energy Efficiency Through Time Based Coding. 388-404 - Jun Wang, Shiyi Lan, Mingfei Gao, Larry S. Davis:
InfoFocus: 3D Object Detection for Autonomous Driving with Dynamic Information Modeling. 405-420 - Poojan Oza, Vishal M. Patel:
Utilizing Patch-Level Category Activation Patterns for Multiple Class Novelty Detection. 421-437 - Yifan Wang, Brian L. Curless, Steven M. Seitz:
People as Scene Probes. 438-454 - Lei Yang, Wenxi Liu, Zhiming Cui, Nenglun Chen, Wenping Wang:
Mapping in a Cycle: Sinkhorn Regularized Unsupervised Learning for Point Cloud Shapes. 455-472 - Matheus Gadelha, Aruni RoyChowdhury, Gopal Sharma, Evangelos Kalogerakis, Liangliang Cao, Erik G. Learned-Miller, Rui Wang, Subhransu Maji:
Label-Efficient Learning on Point Clouds Using Approximate Convex Decompositions. 473-491 - Tiancheng Zhi, Christoph Lassner, Tony Tung, Carsten Stoll, Srinivasa G. Narasimhan, Minh Vo:
TexMesh: Reconstructing Detailed Human Texture and Geometry from RGB-D Video. 492-509 - Mingfei Gao, Zizhao Zhang, Guo Yu, Sercan Ömer Arik, Larry S. Davis, Tomas Pfister:
Consistency-Based Semi-supervised Active Learning: Towards Minimizing Labeling Cost. 510-526 - Fangyun Wei, Xiao Sun, Hongyang Li, Jingdong Wang, Stephen Lin:
Point-Set Anchors for Object Detection, Instance Segmentation and Pose Estimation. 527-544 - Cheng Lin, Tingxiang Fan, Wenping Wang, Matthias Nießner:
Modeling 3D Shapes by Reinforcement Learning. 545-561 - Lida Li, Kun Wang, Shuai Li, Xiangchu Feng, Lei Zhang:
LST-Net: Learning a Convolutional Neural Network with a Learnable Sparse Transform. 562-579 - Damien Teney, Ehsan Abbasnejad, Anton van den Hengel:
Learning What Makes a Difference from Counterfactual Examples and Gradient Supervision. 580-599 - Zetong Yang, Yanan Sun, Shu Liu, Xiaojuan Qi, Jiaya Jia:
CN: Channel Normalization for Point Cloud Recognition. 600-616 - Ning Zhang, Junchi Yan:
Rethinking the Defocus Blur Detection Problem and a Real-Time Deep DBD Model. 617-632 - Jianchao Zhu, Liangliang Shi, Junchi Yan, Hongyuan Zha:
AutoMix: Mixup Networks for Sample Interpolation via Cooperative Barycenter Learning. 633-649 - Wenjia Wang, Enze Xie, Xuebo Liu, Wenhai Wang, Ding Liang, Chunhua Shen, Xiang Bai:
Scene Text Image Super-Resolution in the Wild. 650-666 - Omid Poursaeed, Matthew Fisher, Noam Aigerman, Vladimir G. Kim:
Coupling Explicit and Implicit Surface Representations for Generative 3D Modeling. 667-683 - Xinqi Zhu, Chang Xu, Dacheng Tao:
Learning Disentangled Representations with Latent Variation Predictability. 684-700 - Jaeyeon Kang, Younghyun Jo, Seoung Wug Oh, Peter Vajda, Seon Joo Kim:
Deep Space-Time Video Upsampling Networks. 701-717 - Shuo Wang, Jun Yue, Jianzhuang Liu, Qi Tian, Meng Wang:
Large-Scale Few-Shot Learning via Multi-modal Knowledge Discovery. 718-734 - Yu Li, Zhuoran Shen, Ying Shan:
Fast Video Object Segmentation Using the Global Context Module. 735-750 - Anurag Arnab, Chen Sun, Arsha Nagrani, Cordelia Schmid:
Uncertainty-Aware Weakly Supervised Action Detection from Untrimmed Videos. 751-768 - Nikita Dvornik, Cordelia Schmid, Julien Mairal:
Selecting Relevant Features from a Multi-domain Representation for Few-Shot Classification. 769-786
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