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  • Conference proceedings
  • © 2020

Computer Vision – ECCV 2020

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

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 12347)

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 (47 papers)

  1. Front Matter

    Pages i-xli
  2. Diffraction Line Imaging

    • Mark Sheinin, Dinesh N. Reddy, Matthew O’Toole, Srinivasa G. Narasimhan
    Pages 1-16
  3. Transforming and Projecting Images into Class-Conditional Generative Networks

    • Minyoung Huh, Richard Zhang, Jun-Yan Zhu, Sylvain Paris, Aaron Hertzmann
    Pages 17-34
  4. Suppress and Balance: A Simple Gated Network for Salient Object Detection

    • Xiaoqi Zhao, Youwei Pang, Lihe Zhang, Huchuan Lu, Lei Zhang
    Pages 35-51
  5. Visual Memorability for Robotic Interestingness via Unsupervised Online Learning

    • Chen Wang, Wenshan Wang, Yuheng Qiu, Yafei Hu, Sebastian Scherer
    Pages 52-68
  6. Post-training Piecewise Linear Quantization for Deep Neural Networks

    • Jun Fang, Ali Shafiee, Hamzah Abdel-Aziz, David Thorsley, Georgios Georgiadis, Joseph H. Hassoun
    Pages 69-86
  7. Joint Disentangling and Adaptation for Cross-Domain Person Re-Identification

    • Yang Zou, Xiaodong Yang, Zhiding Yu, B. V. K. Vijaya Kumar, Jan Kautz
    Pages 87-104
  8. In-Home Daily-Life Captioning Using Radio Signals

    • Lijie Fan, Tianhong Li, Yuan Yuan, Dina Katabi
    Pages 105-123
  9. Self-challenging Improves Cross-Domain Generalization

    • Zeyi Huang, Haohan Wang, Eric P. Xing, Dong Huang
    Pages 124-140
  10. A Competence-Aware Curriculum for Visual Concepts Learning via Question Answering

    • Qing Li, Siyuan Huang, Yining Hong, Song-Chun Zhu
    Pages 141-157
  11. Multitask Learning Strengthens Adversarial Robustness

    • Chengzhi Mao, Amogh Gupta, Vikram Nitin, Baishakhi Ray, Shuran Song, Junfeng Yang et al.
    Pages 158-174
  12. S2DNAS: Transforming Static CNN Model for Dynamic Inference via Neural Architecture Search

    • Zhihang Yuan, Bingzhe Wu, Guangyu Sun, Zheng Liang, Shiwan Zhao, Weichen Bi
    Pages 175-192
  13. Improving Deep Video Compression by Resolution-Adaptive Flow Coding

    • Zhihao Hu, Zhenghao Chen, Dong Xu, Guo Lu, Wanli Ouyang, Shuhang Gu
    Pages 193-209
  14. Motion Capture from Internet Videos

    • Junting Dong, Qing Shuai, Yuanqing Zhang, Xian Liu, Xiaowei Zhou, Hujun Bao
    Pages 210-227
  15. Appearance-Preserving 3D Convolution for Video-Based Person Re-identification

    • Xinqian Gu, Hong Chang, Bingpeng Ma, Hongkai Zhang, Xilin Chen
    Pages 228-243
  16. Exploiting Deep Generative Prior for Versatile Image Restoration and Manipulation

    • Xingang Pan, Xiaohang Zhan, Bo Dai, Dahua Lin, Chen Change Loy, Ping Luo
    Pages 262-277
  17. Deep Spatial-Angular Regularization for Compressive Light Field Reconstruction over Coded Apertures

    • Mantang Guo, Junhui Hou, Jing Jin, Jie Chen, Lap-Pui Chau
    Pages 278-294
  18. Video-Based Remote Physiological Measurement via Cross-Verified Feature Disentangling

    • Xuesong Niu, Zitong Yu, Hu Han, Xiaobai Li, Shiguang Shan, Guoying Zhao
    Pages 295-310
  19. Combining Implicit Function Learning and Parametric Models for 3D Human Reconstruction

    • Bharat Lal Bhatnagar, Cristian Sminchisescu, Christian Theobalt, Gerard Pons-Moll
    Pages 311-329

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