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ORCID16th ECCV 2020: Glasgow, UK - Volume 3
- Andrea Vedaldi
, Horst Bischof, Thomas Brox, Jan-Michael Frahm:
Computer Vision - ECCV 2020 - 16th European Conference, Glasgow, UK, August 23-28, 2020, Proceedings, Part III. Lecture Notes in Computer Science 12348, Springer 2020, ISBN 978-3-030-58579-2 - Garvita Tiwari, Bharat Lal Bhatnagar, Tony Tung, Gerard Pons-Moll:
SIZER: A Dataset and Model for Parsing 3D Clothing and Learning Size Sensitive 3D Clothing. 1-18 - Luca Cosmo, Antonio Norelli, Oshri Halimi, Ron Kimmel, Emanuele Rodolà:
LIMP: Learning Latent Shape Representations with Metric Preservation Priors. 19-35 - Runtao Liu, Qian Yu, Stella X. Yu:
Unsupervised Sketch to Photo Synthesis. 36-52 - Evgenia Rusak, Lukas Schott, Roland S. Zimmermann, Julian Bitterwolf, Oliver Bringmann, Matthias Bethge, Wieland Brendel:
A Simple Way to Make Neural Networks Robust Against Diverse Image Corruptions. 53-69 - Yida Wang, David Joseph Tan, Nassir Navab, Federico Tombari:
SoftPoolNet: Shape Descriptor for Point Cloud Completion and Classification. 70-85 - Peipei Li, Huaibo Huang, Yibo Hu, Xiang Wu, Ran He, Zhenan Sun:
Hierarchical Face Aging Through Disentangled Latent Characteristics. 86-101 - Hongjie Zhang, Ang Li, Jie Guo, Yanwen Guo:
Hybrid Models for Open Set Recognition. 102-117 - Fan Wang, Huidong Liu, Dimitris Samaras, Chao Chen:
TopoGAN: A Topology-Aware Generative Adversarial Network. 118-136 - Fuchen Long, Ting Yao, Zhaofan Qiu, Xinmei Tian, Jiebo Luo, Tao Mei:
Learning to Localize Actions from Moments. 137-154 - Ziqiang Zheng, Yang Wu, Xinran Han, Jianbo Shi:
ForkGAN: Seeing into the Rainy Night. 155-170 - Xinwei Sun, Yilun Xu, Peng Cao, Yuqing Kong, Lingjing Hu, Shanghang Zhang, Yizhou Wang:
TCGM: An Information-Theoretic Framework for Semi-supervised Multi-modality Learning. 171-188 - Quan Cui, Qing-Yuan Jiang, Xiu-Shen Wei, Wu-Jun Li, Osamu Yoshie:
ExchNet: A Unified Hashing Network for Large-Scale Fine-Grained Image Retrieval. 189-205 - Liming Jiang, Changxu Zhang, Mingyang Huang, Chunxiao Liu, Jianping Shi, Chen Change Loy:
TSIT: A Simple and Versatile Framework for Image-to-Image Translation. 206-222 - Xiangyu He, Zitao Mo, Ke Cheng, Weixiang Xu, Qinghao Hu, Peisong Wang, Qingshan Liu, Jian Cheng:
ProxyBNN: Learning Binarized Neural Networks via Proxy Matrices. 223-241 - Can Wang, Jiefeng Li, Wentao Liu, Chen Qian, Cewu Lu:
HMOR: Hierarchical Multi-person Ordinal Relations for Monocular Multi-person 3D Pose Estimation. 242-259 - Weicheng Kuo, Anelia Angelova, Tsung-Yi Lin, Angela Dai:
Mask2CAD: 3D Shape Prediction by Learning to Segment and Retrieve. 260-277 - Lanlan Liu, Mingzhe Wang, Jia Deng:
A Unified Framework of Surrogate Loss by Refactoring and Interpolation. 278-293 - Sai Bi, Zexiang Xu, Kalyan Sunkavalli, Milos Hasan, Yannick Hold-Geoffroy, David J. Kriegman, Ravi Ramamoorthi:
Deep Reflectance Volumes: Relightable Reconstructions from Multi-view Photometric Images. 294-311 - Tengda Han, Weidi Xie, Andrew Zisserman:
Memory-Augmented Dense Predictive Coding for Video Representation Learning. 312-329 - Yunlu Chen, Vincent Tao Hu, Efstratios Gavves, Thomas Mensink, Pascal Mettes, Pengwan Yang, Cees G. M. Snoek:
PointMixup: Augmentation for Point Clouds. 330-345 - Kuan Zhu, Haiyun Guo, Zhiwei Liu, Ming Tang, Jinqiao Wang:
Identity-Guided Human Semantic Parsing for Person Re-identification. 346-363 - Ruojin Cai, Guandao Yang, Hadar Averbuch-Elor, Zekun Hao, Serge J. Belongie, Noah Snavely, Bharath Hariharan:
Learning Gradient Fields for Shape Generation. 364-381 - Kuniaki Saito, Kate Saenko, Ming-Yu Liu:
COCO-FUNIT: Few-Shot Unsupervised Image Translation with a Content Conditioned Style Encoder. 382-398 - Kaiwen Duan, Lingxi Xie, Honggang Qi, Song Bai, Qingming Huang, Qi Tian:
Corner Proposal Network for Anchor-Free, Two-Stage Object Detection. 399-416 - Henghui Ding, Scott Cohen, Brian L. Price, Xudong Jiang:
PhraseClick: Toward Achieving Flexible Interactive Segmentation by Phrase and Click. 417-435 - Yapeng Tian, Dingzeyu Li, Chenliang Xu:
Unified Multisensory Perception: Weakly-Supervised Audio-Visual Video Parsing. 436-454 - Yuanhao Cai, Zhicheng Wang, Zhengxiong Luo, Binyi Yin, Angang Du, Haoqian Wang, Xiangyu Zhang, Xinyu Zhou, Erjin Zhou, Jian Sun:
Learning Delicate Local Representations for Multi-person Pose Estimation. 455-472 - Edward Beeching, Jilles Dibangoye, Olivier Simonin, Christian Wolf:
Learning to Plan with Uncertain Topological Maps. 473-490 - Hsin-Ying Lee, Lu Jiang, Irfan Essa, Phuong B. Le, Haifeng Gong, Ming-Hsuan Yang, Weilong Yang:
Neural Design Network: Graphic Layout Generation with Constraints. 491-506 - Guangyao Chen, Limeng Qiao, Yemin Shi, Peixi Peng, Jia Li, Tiejun Huang, Shiliang Pu, Yonghong Tian:
Learning Open Set Network with Discriminative Reciprocal Points. 507-522 - Songyou Peng, Michael Niemeyer, Lars M. Mescheder, Marc Pollefeys, Andreas Geiger:
Convolutional Occupancy Networks. 523-540 - He Chen, Pengfei Guo, Pengfei Li, Gim Hee Lee, Gregory S. Chirikjian:
Multi-person 3D Pose Estimation in Crowded Scenes Based on Multi-view Geometry. 541-557 - Daniel Bolya, Sean Foley, James Hays, Judy Hoffman:
TIDE: A General Toolbox for Identifying Object Detection Errors. 558-573 - Saining Xie, Jiatao Gu, Demi Guo, Charles R. Qi, Leonidas J. Guibas, Or Litany:
PointContrast: Unsupervised Pre-training for 3D Point Cloud Understanding. 574-591 - Xuefei Ning, Tianchen Zhao, Wenshuo Li, Peng Lei, Yu Wang, Huazhong Yang:
DSA: More Efficient Budgeted Pruning via Differentiable Sparsity Allocation. 592-607 - Longhui Wei, An Xiao, Lingxi Xie, Xiaopeng Zhang, Xin Chen, Qi Tian:
Circumventing Outliers of AutoAugment with Knowledge Distillation. 608-625 - Hugo Germain, Guillaume Bourmaud, Vincent Lepetit:
S2DNet: Learning Image Features for Accurate Sparse-to-Dense Matching. 626-643 - Peixuan Li, Huaici Zhao, Pengfei Liu, Feidao Cao:
RTM3D: Real-Time Monocular 3D Detection from Object Keypoints for Autonomous Driving. 644-660 - Xiankai Lu, Wenguan Wang, Martin Danelljan, Tianfei Zhou, Jianbing Shen, Luc Van Gool:
Video Object Segmentation with Episodic Graph Memory Networks. 661-679 - Daquan Zhou, Qibin Hou, Yunpeng Chen, Jiashi Feng, Shuicheng Yan:
Rethinking Bottleneck Structure for Efficient Mobile Network Design. 680-697 - Jeffrey O. Zhang, Alexander Sax, Amir Zamir, Leonidas J. Guibas, Jitendra Malik:
Side-Tuning: A Baseline for Network Adaptation via Additive Side Networks. 698-714 - Zerui Chen, Yan Huang, Hongyuan Yu, Bin Xue, Ke Han, Yiru Guo, Liang Wang:
Towards Part-Aware Monocular 3D Human Pose Estimation: An Architecture Search Approach. 715-732 - Angelina Wang, Arvind Narayanan, Olga Russakovsky:
REVISE: A Tool for Measuring and Mitigating Bias in Visual Datasets. 733-751 - Tanmay Gupta, Arash Vahdat, Gal Chechik, Xiaodong Yang, Jan Kautz, Derek Hoiem:
Contrastive Learning for Weakly Supervised Phrase Grounding. 752-768 - Siyuan Yang, Jun Liu, Shijian Lu, Meng Hwa Er, Alex C. Kot:
Collaborative Learning of Gesture Recognition and 3D Hand Pose Estimation with Multi-order Feature Analysis. 769-786
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