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Computer Vision – ACCV 2020 Workshops

15th Asian Conference on Computer Vision, Kyoto, Japan, November 30 – December 4, 2020, Revised Selected Papers

  • Conference proceedings
  • © 2021

Overview

Editors:
  1. Imari Sato

    1. National Institute of Informatics, Tokyo, Japan

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  2. Bohyung Han

    1. Seoul National University, Seoul, Korea (Republic of)

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    You can also search for this editor in PubMed   Google Scholar

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 12628)

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

Included in the following conference series:

Conference proceedings info: ACCV 2020.

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Table of contents (13 papers)

  1. Front Matter

    Pages i-viii
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  2. Machine Learning and Computing for Visual Semantic Analysis (MLCSA)

    1. Front Matter

      Pages 1-1
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    2. Spatial and Channel Attention Modulated Network for Medical Image Segmentation

      • Wenhao Fang, Xian-hua Han
      Pages 3-17

    3. Parallel-Connected Residual Channel Attention Network for Remote Sensing Image Super-Resolution

      • Yinhao Li, Yutaro Iwamoto, Lanfen Lin, Yen-Wei Chen
      Pages 18-30

    4. Unsupervised Multispectral and Hyperspectral Image Fusion with Deep Spatial and Spectral Priors

      • Zhe Liu, Yinqiang Zheng, Xian-Hua Han
      Pages 31-45

    5. G-GCSN: Global Graph Convolution Shrinkage Network for Emotion Perception from Gait

      • Yuan Zhuang, Lanfen Lin, Ruofeng Tong, Jiaqing Liu, Yutaro Iwamoto, Yen-Wei Chen
      Pages 46-57

    6. Cell Detection and Segmentation in Microscopy Images with Improved Mask R-CNN

      • Seiya Fujita, Xian-Hua Han
      Pages 58-70

    7. BdSL36: A Dataset for Bangladeshi Sign Letters Recognition

      • Oishee Bintey Hoque, Mohammad Imrul Jubair, Al-Farabi Akash, Md. Saiful Islam
      Pages 71-86

    8. 3D Semantic Segmentation for Large-Scale Scene Understanding

      • Kiran Akadas, Shankar Gangisetty
      Pages 87-102

    9. A Weakly Supervised Convolutional Network for Change Segmentation and Classification

      • Philipp Andermatt, Radu Timofte
      Pages 103-119

  3. Multi-Visual-Modality Human Activity Understanding (MMHAU)

    1. Front Matter

      Pages 121-121
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    2. Visible and Thermal Camera-Based Jaywalking Estimation Using a Hierarchical Deep Learning Framework

      • Vijay John, Ali Boyali, Simon Thompson, Annamalai Lakshmanan, Seiichi Mita
      Pages 123-135

    3. Towards Locality Similarity Preserving to 3D Human Pose Estimation

      • Shihao Zhou, Mengxi Jiang, Qicong Wang, Yunqi Lei
      Pages 136-153

    4. Iterative Self-distillation for Precise Facial Landmark Localization

      • Shigenori Nagae, Yamato Takeuchi
      Pages 154-167

    5. Multiview Similarity Learning for Robust Visual Clustering

      • Ao Li, Jiajia Chen, Deyun Chen, Guanglu Sun
      Pages 168-183

    6. Real-Time Spatio-Temporal Action Localization via Learning Motion Representation

      • Yuanzhong Liu, Zhigang Tu, Liyu Lin, Xing Xie, Qianqing Qin
      Pages 184-198

  4. Back Matter

    Pages 199-199
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Other volumes

  1. Computer Vision – ACCV 2020

  2. Computer Vision – ACCV 2020

  3. Computer Vision – ACCV 2020

  4. Computer Vision – ACCV 2020

  5. Computer Vision – ACCV 2020

  6. Computer Vision – ACCV 2020

  7. Computer Vision – ACCV 2020 Workshops

Keywords

About this book

This book constitutes the refereed post-conference proceedings of four workshops held at the 15th Asian Conference on Computer Vision, ACCV 2020, which was held in Kyoto, Japan, in November/ December 2020.*

The 13 papers were carefully reviewed and selected from the following two workshops: Machine Learning and Computing for Visual Semantic Analysis (MLCSA) and Multi-Visual-Modality Human Activity Understanding (MMHAU).

*The conference and workshops were held virtually.

Editors and Affiliations

  • National Institute of Informatics, Tokyo, Japan

    Imari Sato

  • Seoul National University, Seoul, Korea (Republic of)

    Bohyung Han

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