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Computer Vision – ACCV 2022

16th Asian Conference on Computer Vision, Macao, China, December 4–8, 2022, Proceedings, Part VI

  • Conference proceedings
  • © 2023

Overview

Editors:
  1. Lei Wang

    1. University of Wollongong, Wollongong, Australia

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  2. Juergen Gall

    1. University of Bonn, Bonn, Germany

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  3. Tat-Jun Chin

    1. University of Adelaide, Adelaide, Australia

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  4. Imari Sato

    1. National Institute of Informatics, Tokyo, Japan

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  5. Rama Chellappa

    1. Johns Hopkins University, Baltimore, USA

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 13846)

Included in the following conference series:

Conference proceedings info: ACCV 2022.

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Table of contents (45 papers)

  1. Front Matter

    Pages i-xxiii
    Download chapter PDF

  2. Biomedical Image Analysis

    1. Front Matter

      Pages 1-1
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    2. HiCo: Hierarchical Contrastive Learning for Ultrasound Video Model Pretraining

      • Chunhui Zhang, Yixiong Chen, Li Liu, Qiong Liu, Xi Zhou
      Pages 3-20

    3. APAUNet: Axis Projection Attention UNet for Small Target in 3D Medical Segmentation

      • Yuncheng Jiang, Zixun Zhang, Shixi Qin, Yao Guo, Zhen Li, Shuguang Cui
      Pages 21-36

    4. Multi-View Coupled Self-Attention Network for Pulmonary Nodules Classification

      • Qikui Zhu, Yanqing Wang, Xiangpeng Chu, Xiongwen Yang, Wenzhao Zhong
      Pages 37-51

    5. Multi-scale Wavelet Transformer for Face Forgery Detection

      • Jie Liu, Jingjing Wang, Peng Zhang, Chunmao Wang, Di Xie, Shiliang Pu
      Pages 52-68

    6. Slice-Mask Based 3D Cardiac Shape Reconstruction from CT Volume

      • Xiaohan Yuan, Cong Liu, Fu Feng, Yinsu Zhu, Yangang Wang
      Pages 69-85

    7. Improving the Quality of Sparse-view Cone-Beam Computed Tomography via Reconstruction-Friendly Interpolation Network

      • Yanli Wang, Lianying Chao, Wenqi Shan, Haobo Zhang, Zhiwei Wang, Qiang Li
      Pages 86-100

    8. CSS-Net: Classification and Substitution for Segmentation of Rotator Cuff Tear

      • Kyungsu Lee, Hah Min Lew, Moon Hwan Lee, Jun-Young Kim, Jae Youn Hwang
      Pages 101-114

    9. PathTR: Context-Aware Memory Transformer for Tumor Localization in Gigapixel Pathology Images

      • Wenkang Qin, Rui Xu, Shan Jiang, Tingting Jiang, Lin Luo
      Pages 115-131

    10. Region-of-interest Attentive Heteromodal Variational Encoder-Decoder for Segmentation with Missing Modalities

      • Seung-wan Jeong, Hwan-ho Cho, Junmo Kwon, Hyunjin Park
      Pages 132-148

  3. Deep Learning for Computer Vision

    1. Front Matter

      Pages 149-149
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    2. Enhancing Fairness of Visual Attribute Predictors

      • Tobias Hänel, Nishant Kumar, Dmitrij Schlesinger, Mengze Li, Erdem Ünal, Abouzar Eslami et al.
      Pages 151-167

    3. Coil-Agnostic Attention-Based Network for Parallel MRI Reconstruction

      • Jingshuai Liu, Chen Qin, Mehrdad Yaghoobi
      Pages 168-184

    4. TriMix: A General Framework for Medical Image Segmentation from Limited Supervision

      • Zhou Zheng, Yuichiro Hayashi, Masahiro Oda, Takayuki Kitasaka, Kensaku Mori
      Pages 185-202

    5. Semi-supervised Breast Lesion Segmentation Using Local Cross Triplet Loss for Ultrafast Dynamic Contrast-Enhanced MRI

      • Young-tack Oh, Eunsook Ko, Hyunjin Park
      Pages 203-217

    6. A Differentiable Distance Approximation for Fairer Image Classification

      • Nicholas Rosa, Tom Drummond, Mehrtash Harandi
      Pages 218-234

    7. Class Concentration with Twin Variational Autoencoders for Unsupervised Cross-Modal Hashing

      • Yang Zhao, Yazhou Zhu, Shengbin Liao, Qiaolin Ye, Haofeng Zhang
      Pages 235-251

    8. Meta-prototype Decoupled Training for Long-Tailed Learning

      • Siming Fu, Huanpeng Chu, Xiaoxuan He, Hualiang Wang, Zhenyu Yang, Haoji Hu
      Pages 252-268

    9. PEDTrans: A Fine-Grained Visual Classification Model for Self-attention Patch Enhancement and Dropout

      • Xuhong Lin, Qian Yan, Caicong Wu, Yifei Chen
      Pages 269-285
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Other volumes

  1. Computer Vision – ACCV 2022

  2. Computer Vision – ACCV 2022

  3. Computer Vision – ACCV 2022

  4. Computer Vision – ACCV 2022

  5. Computer Vision – ACCV 2022

  6. Computer Vision – ACCV 2022

  7. Computer Vision – ACCV 2022

  8. Computer Vision – ACCV 2022 Workshops

Keywords

About this book

The 7-volume set of LNCS 13841-13847 constitutes the proceedings of the 16th Asian Conference on Computer Vision, ACCV 2022, held in Macao, China, December 2022.

The total of 277 contributions included in the proceedings set was carefully reviewed and selected from 836 submissions during two rounds of reviewing and improvement. The papers focus on the following topics:

Part I: 3D computer vision; optimization methods;

Part II: applications of computer vision, vision for X; computational photography, sensing, and display;

Part III: low-level vision, image processing;

Part IV: face and gesture; pose and action; video analysis and event recognition; vision and language; biometrics;

Part V: recognition: feature detection, indexing, matching, and shape representation; datasets and performance analysis;

Part VI: biomedical image analysis; deep learning for computer vision;

Part VII: generative models for computer vision; segmentation and grouping; motion and tracking; document image analysis; big data, large scale methods.

Editors and Affiliations

  • University of Wollongong, Wollongong, Australia

    Lei Wang

  • University of Bonn, Bonn, Germany

    Juergen Gall

  • University of Adelaide, Adelaide, Australia

    Tat-Jun Chin

  • National Institute of Informatics, Tokyo, Japan

    Imari Sato

  • Johns Hopkins University, Baltimore, USA

    Rama Chellappa

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