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  • Conference proceedings
  • © 2020

Computer Vision – ECCV 2020

16th European Conference, Glasgow, UK, August 23–28, 2020, Proceedings, Part III

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 12348)

Part of the book sub series: Image Processing, Computer Vision, Pattern Recognition, and Graphics (LNIP)

Conference series link(s): ECCV: European Conference on Computer Vision

Conference proceedings info: ECCV 2020.

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Table of contents (45 papers)

  1. Front Matter

    Pages i-xlii
  2. 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
    Pages 1-18
  3. LIMP: Learning Latent Shape Representations with Metric Preservation Priors

    • Luca Cosmo, Antonio Norelli, Oshri Halimi, Ron Kimmel, Emanuele Rodolà
    Pages 19-35
  4. Unsupervised Sketch to Photo Synthesis

    • Runtao Liu, Qian Yu, Stella X. Yu
    Pages 36-52
  5. 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 et al.
    Pages 53-69
  6. SoftPoolNet: Shape Descriptor for Point Cloud Completion and Classification

    • Yida Wang, David Joseph Tan, Nassir Navab, Federico Tombari
    Pages 70-85
  7. Hierarchical Face Aging Through Disentangled Latent Characteristics

    • Peipei Li, Huaibo Huang, Yibo Hu, Xiang Wu, Ran He, Zhenan Sun
    Pages 86-101
  8. Hybrid Models for Open Set Recognition

    • Hongjie Zhang, Ang Li, Jie Guo, Yanwen Guo
    Pages 102-117
  9. TopoGAN: A Topology-Aware Generative Adversarial Network

    • Fan Wang, Huidong Liu, Dimitris Samaras, Chao Chen
    Pages 118-136
  10. Learning to Localize Actions from Moments

    • Fuchen Long, Ting Yao, Zhaofan Qiu, Xinmei Tian, Jiebo Luo, Tao Mei
    Pages 137-154
  11. ForkGAN: Seeing into the Rainy Night

    • Ziqiang Zheng, Yang Wu, Xinran Han, Jianbo Shi
    Pages 155-170
  12. TCGM: An Information-Theoretic Framework for Semi-supervised Multi-modality Learning

    • Xinwei Sun, Yilun Xu, Peng Cao, Yuqing Kong, Lingjing Hu, Shanghang Zhang et al.
    Pages 171-188
  13. 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
    Pages 189-205
  14. TSIT: A Simple and Versatile Framework for Image-to-Image Translation

    • Liming Jiang, Changxu Zhang, Mingyang Huang, Chunxiao Liu, Jianping Shi, Chen Change Loy
    Pages 206-222
  15. ProxyBNN: Learning Binarized Neural Networks via Proxy Matrices

    • Xiangyu He, Zitao Mo, Ke Cheng, Weixiang Xu, Qinghao Hu, Peisong Wang et al.
    Pages 223-241
  16. HMOR: Hierarchical Multi-person Ordinal Relations for Monocular Multi-person 3D Pose Estimation

    • Can Wang, Jiefeng Li, Wentao Liu, Chen Qian, Cewu Lu
    Pages 242-259
  17. Mask2CAD: 3D Shape Prediction by Learning to Segment and Retrieve

    • Weicheng Kuo, Anelia Angelova, Tsung-Yi Lin, Angela Dai
    Pages 260-277
  18. A Unified Framework of Surrogate Loss by Refactoring and Interpolation

    • Lanlan Liu, Mingzhe Wang, Jia Deng
    Pages 278-293
  19. Deep Reflectance Volumes: Relightable Reconstructions from Multi-view Photometric Images

    • Sai Bi, Zexiang Xu, Kalyan Sunkavalli, Miloš Hašan, Yannick Hold-Geoffroy, David Kriegman et al.
    Pages 294-311
  20. Memory-Augmented Dense Predictive Coding for Video Representation Learning

    • Tengda Han, Weidi Xie, Andrew Zisserman
    Pages 312-329

About this book

The 30-volume set, comprising the LNCS books 12346 until 12375, constitutes the refereed proceedings of the 16th European Conference on Computer Vision, ECCV 2020, which was planned to be held in Glasgow, UK, during August 23-28, 2020. The conference was held virtually due to the COVID-19 pandemic.

The 1360 revised papers presented in these proceedings were carefully reviewed and selected from a total of 5025 submissions. The papers deal with topics such as computer vision; machine learning; deep neural networks; reinforcement learning; object recognition; image classification; image processing; object detection; semantic segmentation; human pose estimation; 3d reconstruction; stereo vision; computational photography; neural networks; image coding; image reconstruction; object recognition; motion estimation.

 

 


Editors and Affiliations

  • University of Oxford, Oxford, UK

    Andrea Vedaldi

  • Graz University of Technology, Graz, Austria

    Horst Bischof

  • University of Freiburg, Freiburg im Breisgau, Germany

    Thomas Brox

  • University of North Carolina at Chapel Hill, Chapel Hill, USA

    Jan-Michael Frahm

Bibliographic Information

Buy it now

Buying options

eBook USD 84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access