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Computer Vision – ECCV 2020 Workshops

Glasgow, UK, August 23–28, 2020, Proceedings, Part III

  • Conference proceedings
  • © 2020

Overview

Editors:
  1. Adrien Bartoli

    1. University of Clermont Auvergne, Clermont Ferrand, France

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  2. Andrea Fusiello

    1. Università degli Studi di Udine, Udine, Italy

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 12537)

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 (44 papers)

  1. Front Matter

    Pages i-xxviii
    Download chapter PDF

  2. W24 - Advances in Image Manipulation Workshop and Challenges

    1. Front Matter

      Pages 1-3
      Download chapter PDF

    2. AIM 2020 Challenge on Efficient Super-Resolution: Methods and Results

      • Kai Zhang, Martin Danelljan, Yawei Li, Radu Timofte, Jie Liu, Jie Tang et al.
      Pages 5-40

    3. Residual Feature Distillation Network for Lightweight Image Super-Resolution

      • Jie Liu, Jie Tang, Gangshan Wu
      Pages 41-55

    4. Efficient Image Super-Resolution Using Pixel Attention

      • Hengyuan Zhao, Xiangtao Kong, Jingwen He, Yu Qiao, Chao Dong
      Pages 56-72

    5. LarvaNet: Hierarchical Super-Resolution via Multi-exit Architecture

      • Geun-Woo Jeon, Jun-Ho Choi, Jun-Hyuk Kim, Jong-Seok Lee
      Pages 73-86

    6. Efficient Super-Resolution Using MobileNetV3

      • Haicheng Wang, Vineeth Bhaskara, Alex Levinshtein, Stavros Tsogkas, Allan Jepson
      Pages 87-102

    7. Multi-attention Based Ultra Lightweight Image Super-Resolution

      • Abdul Muqeet, Jiwon Hwang, Subin Yang, JungHeum Kang, Yongwoo Kim, Sung-Ho Bae
      Pages 103-118

    8. Adaptive Hybrid Composition Based Super-Resolution Network via Fine-Grained Channel Pruning

      • Siang Chen, Kai Huang, Bowen Li, Dongliang Xiong, Haitian Jiang, Luc Claesen
      Pages 119-135

    9. IdleSR: Efficient Super-Resolution Network with Multi-scale IdleBlocks

      • Dongliang Xiong, Kai Huang, Haitian Jiang, Bowen Li, Siang Chen, Xiaowen Jiang
      Pages 136-151

    10. AIM 2020 Challenge on Learned Image Signal Processing Pipeline

      • Andrey Ignatov, Radu Timofte, Zhilu Zhang, Ming Liu, Haolin Wang, Wangmeng Zuo et al.
      Pages 152-170

    11. EEDNet: Enhanced Encoder-Decoder Network for AutoISP

      • Yu Zhu, Zhenyu Guo, Tian Liang, Xiangyu He, Chenghua Li, Cong Leng et al.
      Pages 171-184

    12. AWNet: Attentive Wavelet Network for Image ISP

      • Linhui Dai, Xiaohong Liu, Chengqi Li, Jun Chen
      Pages 185-201

    13. PyNET-CA: Enhanced PyNET with Channel Attention for End-to-End Mobile Image Signal Processing

      • Byung-Hoon Kim, Joonyoung Song, Jong Chul Ye, JaeHyun Baek
      Pages 202-212

    14. AIM 2020 Challenge on Rendering Realistic Bokeh

      • Andrey Ignatov, Radu Timofte, Ming Qian, Congyu Qiao, Jiamin Lin, Zhenyu Guo et al.
      Pages 213-228

    15. BGGAN: Bokeh-Glass Generative Adversarial Network for Rendering Realistic Bokeh

      • Ming Qian, Congyu Qiao, Jiamin Lin, Zhenyu Guo, Chenghua Li, Cong Leng et al.
      Pages 229-244

    16. Bokeh Rendering from Defocus Estimation

      • Xianrui Luo, Juewen Peng, Ke Xian, Zijin Wu, Zhiguo Cao
      Pages 245-261

    17. Human Motion Transfer from Poses in the Wild

      • Jian Ren, Menglei Chai, Sergey Tulyakov, Chen Fang, Xiaohui Shen, Jianchao Yang
      Pages 262-279

    18. CA-GAN: Weakly Supervised Color Aware GAN for Controllable Makeup Transfer

      • Robin Kips, Pietro Gori, Matthieu Perrot, Isabelle Bloch
      Pages 280-296

    19. FamilyGAN: Generating Kin Face Images Using Generative Adversarial Networks

      • Raunak Sinha, Mayank Vatsa, Richa Singh
      Pages 297-311
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Other volumes

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  31. Computer Vision – ECCV 2020 Workshops

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Keywords

About this book

The 6-volume set, comprising the LNCS books 12535 until 12540, constitutes the refereed proceedings of 28 out of the 45 workshops held at the 16th European Conference on Computer Vision, ECCV 2020. The conference was planned to take place in Glasgow, UK, during August 23-28, 2020, but changed to a virtual format due to the COVID-19 pandemic.

The 249 full papers, 18 short papers, and 21 further contributions included in the workshop proceedings were carefully reviewed and selected from a total of 467 submissions. The papers deal with diverse computer vision topics.

Part III includes the Advances in Image Manipulation Workshop and Challenges. 

Editors and Affiliations

  • University of Clermont Auvergne, Clermont Ferrand, France

    Adrien Bartoli

  • Università degli Studi di Udine, Udine, Italy

    Andrea Fusiello

Bibliographic Information

  • Book Title: Computer Vision – ECCV 2020 Workshops

  • Book Subtitle: Glasgow, UK, August 23–28, 2020, Proceedings, Part III

  • Editors: Adrien Bartoli, Andrea Fusiello

  • Series Title: Lecture Notes in Computer Science

  • DOI: https://doi.org/10.1007/978-3-030-67070-2

  • Publisher: Springer Cham

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

  • Copyright Information: Springer Nature Switzerland AG 2020

  • Softcover ISBN: 978-3-030-67069-6Published: 30 January 2021

  • eBook ISBN: 978-3-030-67070-2Published: 29 January 2021

  • Series ISSN: 0302-9743

  • Series E-ISSN: 1611-3349

  • Edition Number: 1

  • Number of Pages: XXVIII, 762

  • Number of Illustrations: 18 b/w illustrations, 338 illustrations in colour

  • Topics: Image Processing and Computer Vision

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