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  • Conference proceedings
  • © 2020

Computer Vision – ECCV 2020

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

Editors:

  1. Andrea Vedaldi

    1. University of Oxford, Oxford, UK

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  2. Horst Bischof

    1. Graz University of Technology, Graz, Austria

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  3. Thomas Brox

    1. University of Freiburg, Freiburg im Breisgau, Germany

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  4. Jan-Michael Frahm

    1. University of North Carolina at Chapel Hill, Chapel Hill, USA

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 12355)

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
    PDF

  2. Discriminability Distillation in Group Representation Learning

    • Manyuan Zhang, Guanglu Song, Hang Zhou, Yu Liu
    Pages 1-19

  3. Monocular Expressive Body Regression Through Body-Driven Attention

    • Vasileios Choutas, Georgios Pavlakos, Timo Bolkart, Dimitrios Tzionas, Michael J. Black
    Pages 20-40

  4. Dual Adversarial Network: Toward Real-World Noise Removal and Noise Generation

    • Zongsheng Yue, Qian Zhao, Lei Zhang, Deyu Meng
    Pages 41-58

  5. 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

  6. Federated Visual Classification with Real-World Data Distribution

    • Tzu-Ming Harry Hsu, Hang Qi, Matthew Brown
    Pages 76-92

  7. Robust Re-Identification by Multiple Views Knowledge Distillation

    • Angelo Porrello, Luca Bergamini, Simone Calderara
    Pages 93-110

  8. Defocus Deblurring Using Dual-Pixel Data

    • Abdullah Abuolaim, Michael S. Brown
    Pages 111-126

  9. RhyRNN: Rhythmic RNN for Recognizing Events in Long and Complex Videos

    • Tianshu Yu, Yikang Li, Baoxin Li
    Pages 127-144

  10. 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

  11. Weighing Counts: Sequential Crowd Counting by Reinforcement Learning

    • Liang Liu, Hao Lu, Hongwei Zou, Haipeng Xiong, Zhiguo Cao, Chunhua Shen
    Pages 164-181

  12. Reflection Backdoor: A Natural Backdoor Attack on Deep Neural Networks

    • Yunfei Liu, Xingjun Ma, James Bailey, Feng Lu
    Pages 182-199

  13. 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

  14. Deep Positional and Relational Feature Learning for Rotation-Invariant Point Cloud Analysis

    • Ruixuan Yu, Xin Wei, Federico Tombari, Jian Sun
    Pages 217-233

  15. Thanks for Nothing: Predicting Zero-Valued Activations with Lightweight Convolutional Neural Networks

    • Gil Shomron, Ron Banner, Moran Shkolnik, Uri Weiser
    Pages 234-250

  16. Layered Neighborhood Expansion for Incremental Multiple Graph Matching

    • Zixuan Chen, Zhihui Xie, Junchi Yan, Yinqiang Zheng, Xiaokang Yang
    Pages 251-267

  17. SCAN: Learning to Classify Images Without Labels

    • Wouter Van Gansbeke, Simon Vandenhende, Stamatios Georgoulis, Marc Proesmans, Luc Van Gool
    Pages 268-285

  18. 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

  19. Object-and-Action Aware Model for Visual Language Navigation

    • Yuankai Qi, Zizheng Pan, Shengping Zhang, Anton van den Hengel, Qi Wu
    Pages 303-317

  20. 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
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Other Volumes

  1. Computer Vision – ECCV 2020

  2. Computer Vision – ECCV 2020

  3. Computer Vision – ECCV 2020

  4. Computer Vision – ECCV 2020

  5. Computer Vision – ECCV 2020

  6. Computer Vision – ECCV 2020

  7. Computer Vision – ECCV 2020

  8. Computer Vision – ECCV 2020

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  29. Computer Vision – ECCV 2020

  30. Computer Vision – ECCV 2020

  31. Computer Vision – ECCV 2020 Workshops

  32. Computer Vision – ECCV 2020 Workshops

  33. Computer Vision – ECCV 2020 Workshops

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  35. Computer Vision – ECCV 2020 Workshops

  36. Computer Vision – ECCV 2020 Workshops

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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.

 

 


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Keywords

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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

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Bibliographic Information

  • Book Title: Computer Vision – ECCV 2020

  • Book Subtitle: 16th European Conference, Glasgow, UK, August 23–28, 2020, Proceedings, Part X

  • Editors: Andrea Vedaldi, Horst Bischof, Thomas Brox, Jan-Michael Frahm

  • Series Title: Lecture Notes in Computer Science

  • DOI: https://doi.org/10.1007/978-3-030-58607-2

  • Publisher: Springer Cham

  • eBook Packages: Computer Science, Computer Science (R0)

  • Copyright Information: Springer Nature Switzerland AG 2020

  • Softcover ISBN: 978-3-030-58606-5Published: 07 November 2020

  • eBook ISBN: 978-3-030-58607-2Published: 06 November 2020

  • Series ISSN: 0302-9743

  • Series E-ISSN: 1611-3349

  • Edition Number: 1

  • Number of Pages: XLII, 789

  • Number of Illustrations: 283 b/w illustrations

  • Topics: Image Processing and Computer Vision

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Buy it now

eBook EUR 85.59
Price includes VAT (Finland)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book EUR 109.99
Price includes VAT (Finland)
  • 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

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