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Computer Vision – ACCV 2022

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

  • Conference proceedings
  • © 2023

Overview

Editors:
  1. Lei Wang

    1. University of Wollongong, Wollongong, Australia

  2. Juergen Gall

    1. University of Bonn, Bonn, Germany

  3. Tat-Jun Chin

    1. University of Adelaide, Adelaide, Australia

  4. Imari Sato

    1. National Institute of Informatics, Tokyo, Japan

  5. Rama Chellappa

    1. Johns Hopkins University, Baltimore, USA

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 13842)

Included in the following conference series:

Conference proceedings info: ACCV 2022.

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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.

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Keywords

Table of contents (39 papers)

  1. Front Matter

    Pages i-xxii
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  2. Applications of Computer Vision, Vision for X

    1. Front Matter

      Pages 1-1
      Download chapter PDF

    2. Skin Tone Diagnosis in the Wild: Towards More Robust and Inclusive User Experience Using Oriented Aleatoric Uncertainty

      • Emmanuel Malherbe, Michel Remise, Shuai Zhang, Matthieu Perrot
      Pages 3-21

    3. Spatio-Channel Attention Blocks for Cross-modal Crowd Counting

      • Youjia Zhang, Soyun Choi, Sungeun Hong
      Pages 22-40

    4. Domain Generalized RPPG Network: Disentangled Feature Learning with Domain Permutation and Domain Augmentation

      • Wei-Hao Chung, Cheng-Ju Hsieh, Sheng-Hung Liu, Chiou-Ting Hsu
      Pages 41-57

    5. Complex Handwriting Trajectory Recovery: Evaluation Metrics and Algorithm

      • Zhounan Chen, Daihui Yang, Jinglin Liang, Xinwu Liu, Yuyi Wang, Zhenghua Peng et al.
      Pages 58-74

    6. Fully Transformer Network for Change Detection of Remote Sensing Images

      • Tianyu Yan, Zifu Wan, Pingping Zhang
      Pages 75-92

    7. Self-supervised Augmented Patches Segmentation for Anomaly Detection

      • Jun Long, Yuxi Yang, Liujie Hua, Yiqi Ou
      Pages 93-107

    8. Rethinking Low-Level Features for Interest Point Detection and Description

      • Changhao Wang, Guanwen Zhang, Zhengyun Cheng, Wei Zhou
      Pages 108-123

    9. DILane: Dynamic Instance-Aware Network for Lane Detection

      • Zhengyun Cheng, Guanwen Zhang, Changhao Wang, Wei Zhou
      Pages 124-140

    10. CIRL: A Category-Instance Representation Learning Framework for Tropical Cyclone Intensity Estimation

      • Dengke Wang, Yajing Xu, Yicheng Luo, Qifeng Qian, Lv Yuan
      Pages 141-154

    11. Explaining Deep Neural Networks for Point Clouds Using Gradient-Based Visualisations

      • Jawad Tayyub, Muhammad Sarmad, Nicolas Schönborn
      Pages 155-170

    12. Multispectral-Based Imaging and Machine Learning for Noninvasive Blood Loss Estimation

      • Ara Abigail E. Ambita, Catherine S. Co, Laura T. David, Charissa M. Ferrera, Prospero C. Naval Jr.
      Pages 171-186

    13. Unreliability-Aware Disentangling for Cross-Domain Semi-supervised Pedestrian Detection

      • Wenhao Wu, Si Wu, Hau-San Wong
      Pages 187-203

    14. Patch Embedding as Local Features: Unifying Deep Local and Global Features via Vision Transformer for Image Retrieval

      • Lam Phan, Hiep Thi Hong Nguyen, Harikrishna Warrier, Yogesh Gupta
      Pages 204-221

    15. Improving Surveillance Object Detection with Adaptive Omni-Attention over Both Inter-frame and Intra-frame Context

      • Tingting Yu, Chen Chen, Yichao Zhou, Xiyuan Hu
      Pages 222-237

    16. Lightweight Image Matting via Efficient Non-local Guidance

      • Zhaoxiang Kang, Zonglin Li, Qinglin Liu, Yuhe Zhu, Hongfei Zhou, Shengping Zhang
      Pages 238-255

    17. RGB Road Scene Material Segmentation

      • Sudong Cai, Ryosuke Wakaki, Shohei Nobuhara, Ko Nishino
      Pages 256-272

    18. Self-distilled Vision Transformer for Domain Generalization

      • Maryam Sultana, Muzammal Naseer, Muhammad Haris Khan, Salman Khan, Fahad Shahbaz Khan
      Pages 273-290

    19. CV4Code: Sourcecode Understanding via Visual Code Representations

      • Ruibo Shi, Lili Tao, Rohan Saphal, Fran Silavong, Sean Moran
      Pages 291-306
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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

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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