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Computer Vision – ECCV 2020

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

  • Conference proceedings
  • © 2020

Overview

Editors:
  1. Andrea Vedaldi

    1. University of Oxford, Oxford, UK

  2. Horst Bischof

    1. Graz University of Technology, Graz, Austria

  3. Thomas Brox

    1. University of Freiburg, Freiburg im Breisgau, Germany

  4. Jan-Michael Frahm

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

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 12368)

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

Included in the following conference series:

Conference proceedings info: ECCV 2020.

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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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Table of contents (46 papers)

  1. Front Matter

    Pages i-xliii
    Download chapter PDF

  2. Margin-Mix: Semi-Supervised Learning for Face Expression Recognition

    • Corneliu Florea, Mihai Badea, Laura Florea, Andrei Racoviteanu, Constantin Vertan
    Pages 1-17

  3. Principal Feature Visualisation in Convolutional Neural Networks

    • Marianne Bakken, Johannes Kvam, Alexey A. Stepanov, Asbjørn Berge
    Pages 18-31

  4. Progressive Refinement Network for Occluded Pedestrian Detection

    • Xiaolin Song, Kaili Zhao, Wen-Sheng Chu, Honggang Zhang, Jun Guo
    Pages 32-48

  5. Monocular Real-Time Volumetric Performance Capture

    • Ruilong Li, Yuliang Xiu, Shunsuke Saito, Zeng Huang, Kyle Olszewski, Hao Li
    Pages 49-67

  6. The Mapillary Traffic Sign Dataset for Detection and Classification on a Global Scale

    • Christian Ertler, Jerneja Mislej, Tobias Ollmann, Lorenzo Porzi, Gerhard Neuhold, Yubin Kuang
    Pages 68-84

  7. Measuring Generalisation to Unseen Viewpoints, Articulations, Shapes and Objects for 3D Hand Pose Estimation Under Hand-Object Interaction

    • Anil Armagan, Guillermo Garcia-Hernando, Seungryul Baek, Shreyas Hampali, Mahdi Rad, Zhaohui Zhang et al.
    Pages 85-101

  8. Disentangling Multiple Features in Video Sequences Using Gaussian Processes in Variational Autoencoders

    • Sarthak Bhagat, Shagun Uppal, Zhuyun Yin, Nengli Lim
    Pages 102-117

  9. SEN: A Novel Feature Normalization Dissimilarity Measure for Prototypical Few-Shot Learning Networks

    • Van Nhan Nguyen, Sigurd Løkse, Kristoffer Wickstrøm, Michael Kampffmeyer, Davide Roverso, Robert Jenssen
    Pages 118-134

  10. Kinematic 3D Object Detection in Monocular Video

    • Garrick Brazil, Gerard Pons-Moll, Xiaoming Liu, Bernt Schiele
    Pages 135-152

  11. Describing Unseen Videos via Multi-modal Cooperative Dialog Agents

    • Ye Zhu, Yu Wu, Yi Yang, Yan Yan
    Pages 153-169

  12. SACA Net: Cybersickness Assessment of Individual Viewers for VR Content via Graph-Based Symptom Relation Embedding

    • Sangmin Lee, Jung Uk Kim, Hak Gu Kim, Seongyeop Kim, Yong Man Ro
    Pages 170-186

  13. End-to-End Low Cost Compressive Spectral Imaging with Spatial-Spectral Self-Attention

    • Ziyi Meng, Jiawei Ma, Xin Yuan
    Pages 187-204

  14. Know Your Surroundings: Exploiting Scene Information for Object Tracking

    • Goutam Bhat, Martin Danelljan, Luc Van Gool, Radu Timofte
    Pages 205-221

  15. Practical Detection of Trojan Neural Networks: Data-Limited and Data-Free Cases

    • Ren Wang, Gaoyuan Zhang, Sijia Liu, Pin-Yu Chen, Jinjun Xiong, Meng Wang
    Pages 222-238

  16. Anatomy-Aware Siamese Network: Exploiting Semantic Asymmetry for Accurate Pelvic Fracture Detection in X-Ray Images

    • Haomin Chen, Yirui Wang, Kang Zheng, Weijian Li, Chi-Tung Chang, Adam P. Harrison et al.
    Pages 239-255

  17. DeepLandscape: Adversarial Modeling of Landscape Videos

    • Elizaveta Logacheva, Roman Suvorov, Oleg Khomenko, Anton Mashikhin, Victor Lempitsky
    Pages 256-272

  18. GANwriting: Content-Conditioned Generation of Styled Handwritten Word Images

    • Lei Kang, Pau Riba, Yaxing Wang, Marçal Rusiñol, Alicia Fornés, Mauricio Villegas
    Pages 273-289

  19. Spatial-Angular Interaction for Light Field Image Super-Resolution

    • Yingqian Wang, Longguang Wang, Jungang Yang, Wei An, Jingyi Yu, Yulan Guo
    Pages 290-308

  20. BATS: Binary ArchitecTure Search

    • Adrian Bulat, Brais Martinez, Georgios Tzimiropoulos
    Pages 309-325
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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

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  30. Computer Vision – ECCV 2020

  31. Computer Vision – ECCV 2020 Workshops

  32. Computer Vision – ECCV 2020 Workshops

  33. Computer Vision – ECCV 2020 Workshops

  34. Computer Vision – ECCV 2020 Workshops

  35. Computer Vision – ECCV 2020 Workshops

  36. Computer Vision – ECCV 2020 Workshops

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

Accessibility Information

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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 XXIII

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

  • Series Title: Lecture Notes in Computer Science

  • DOI: https://doi.org/10.1007/978-3-030-58592-1

  • Publisher: Springer Cham

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

  • Copyright Information: Springer Nature Switzerland AG 2020

  • Softcover ISBN: 978-3-030-58591-4Published: 03 November 2020

  • eBook ISBN: 978-3-030-58592-1Published: 03 November 2020

  • Series ISSN: 0302-9743

  • Series E-ISSN: 1611-3349

  • Edition Number: 1

  • Number of Pages: XLIII, 799

  • Number of Illustrations: 253 b/w illustrations

  • Topics: Image Processing and Computer Vision, Computer Applications, Security, Machine Learning, Pattern Recognition

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