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Computer Vision – ECCV 2020

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

  • Conference proceedings
  • © 2020

Overview

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 12370)

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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Table of contents (46 papers)

  1. Front Matter

    Pages i-xlii
    Download chapter PDF

  2. Faster AutoAugment: Learning Augmentation Strategies Using Backpropagation

    • Ryuichiro Hataya, Jan Zdenek, Kazuki Yoshizoe, Hideki Nakayama
    Pages 1-16

  3. Hand-Transformer: Non-Autoregressive Structured Modeling for 3D Hand Pose Estimation

    • Lin Huang, Jianchao Tan, Ji Liu, Junsong Yuan
    Pages 17-33

  4. Boundary-Aware Cascade Networks for Temporal Action Segmentation

    • Zhenzhi Wang, Ziteng Gao, Limin Wang, Zhifeng Li, Gangshan Wu
    Pages 34-51

  5. Towards Content-Independent Multi-Reference Super-Resolution: Adaptive Pattern Matching and Feature Aggregation

    • Xu Yan, Weibing Zhao, Kun Yuan, Ruimao Zhang, Zhen Li, Shuguang Cui
    Pages 52-68

  6. Inference Graphs for CNN Interpretation

    • Yael Konforti, Alon Shpigler, Boaz Lerner, Aharon Bar-Hillel
    Pages 69-84

  7. An End-to-End OCR Text Re-organization Sequence Learning for Rich-Text Detail Image Comprehension

    • Liangcheng Li, Feiyu Gao, Jiajun Bu, Yongpan Wang, Zhi Yu, Qi Zheng
    Pages 85-100

  8. Improving Query Efficiency of Black-Box Adversarial Attack

    • Yang Bai, Yuyuan Zeng, Yong Jiang, Yisen Wang, Shu-Tao Xia, Weiwei Guo
    Pages 101-116

  9. Self-similarity Student for Partial Label Histopathology Image Segmentation

    • Hsien-Tzu Cheng, Chun-Fu Yeh, Po-Chen Kuo, Andy Wei, Keng-Chi Liu, Mong-Chi Ko et al.
    Pages 117-132

  10. BioMetricNet: Deep Unconstrained Face Verification Through Learning of Metrics Regularized onto Gaussian Distributions

    • Arslan Ali, Matteo Testa, Tiziano Bianchi, Enrico Magli
    Pages 133-149

  11. A Decoupled Learning Scheme for Real-World Burst Denoising from Raw Images

    • Zhetong Liang, Shi Guo, Hong Gu, Huaqi Zhang, Lei Zhang
    Pages 150-166

  12. Global-and-Local Relative Position Embedding for Unsupervised Video Summarization

    • Yunjae Jung, Donghyeon Cho, Sanghyun Woo, In So Kweon
    Pages 167-183

  13. Real-World Blur Dataset for Learning and Benchmarking Deblurring Algorithms

    • Jaesung Rim, Haeyun Lee, Jucheol Won, Sunghyun Cho
    Pages 184-201

  14. SPARK: Spatial-Aware Online Incremental Attack Against Visual Tracking

    • Qing Guo, Xiaofei Xie, Felix Juefei-Xu, Lei Ma, Zhongguo Li, Wanli Xue et al.
    Pages 202-219

  15. CenterNet Heatmap Propagation for Real-Time Video Object Detection

    • Zhujun Xu, Emir Hrustic, Damien Vivet
    Pages 220-234

  16. Hierarchical Dynamic Filtering Network for RGB-D Salient Object Detection

    • Youwei Pang, Lihe Zhang, Xiaoqi Zhao, Huchuan Lu
    Pages 235-252

  17. SOLAR: Second-Order Loss and Attention for Image Retrieval

    • Tony Ng, Vassileios Balntas, Yurun Tian, Krystian Mikolajczyk
    Pages 253-270

  18. Fixing Localization Errors to Improve Image Classification

    • Guolei Sun, Salman Khan, Wen Li, Hisham Cholakkal, Fahad Shahbaz Khan, Luc Van Gool
    Pages 271-287

  19. PatchPerPix for Instance Segmentation

    • Lisa Mais, Peter Hirsch, Dagmar Kainmueller
    Pages 288-304

  20. Attend and Segment: Attention Guided Active Semantic Segmentation

    • Soroush Seifi, Tinne Tuytelaars
    Pages 305-321
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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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Keywords

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

  • Book Title: Computer Vision – ECCV 2020

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

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

  • Series Title: Lecture Notes in Computer Science

  • DOI: https://doi.org/10.1007/978-3-030-58595-2

  • Publisher: Springer Cham

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

  • Copyright Information: Springer Nature Switzerland AG 2020

  • Softcover ISBN: 978-3-030-58594-5Published: 20 November 2020

  • eBook ISBN: 978-3-030-58595-2Published: 20 November 2020

  • Series ISSN: 0302-9743

  • Series E-ISSN: 1611-3349

  • Edition Number: 1

  • Number of Pages: XLII, 789

  • Number of Illustrations: 17 b/w illustrations, 287 illustrations in colour

  • Topics: Image Processing and Computer Vision

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