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Computer Vision – ACCV 2024

17th Asian Conference on Computer Vision, Hanoi, Vietnam, December 8–12, 2024, Proceedings, Part II

  • Conference proceedings
  • © 2025

Overview

Editors:
  1. Minsu Cho

    1. Pohang University of Science and Technology (POSTECH), Pohang, Korea (Republic of)

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  2. Ivan Laptev

    1. Mohamed bin Zayed University of Artificial Intelligence, Abu Dhabi, United Arab Emirates

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  3. Du Tran

    1. Google, Mountain View, USA

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  4. Angela Yao

    1. National University of Singapore, Singapore, Singapore

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  5. Hongbin Zha

    1. Peking University, Beijing, China

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 15473)

Included in the following conference series:

Conference proceedings info: ACCV 2024.

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About this book

This 10-volume LNCS conference set constitutes the proceedings of the 17th Asian Conference on Computer Vision, in Hanoi, Vietnam, held during December 8–12, 2024. The 270 full papers together included in this volume were carefully reviewed and selected from 839 submissions.

The conference presents and discusses new problems, solutions, and technologies in computer vision, machine learning, and related areas in artificial intelligence.

 

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Keywords

Table of contents (28 papers)

  1. Front Matter

    Pages i-xxiii
    Download chapter PDF

  2. Biomedical Image Analysis

    1. Front Matter

      Pages 1-1
      Download chapter PDF

    2. PARNet: Aortic Reconstruction from Orthogonal X-Rays Using Pre-trained Generative Adversarial Networks

      • Chengwei Cao, Jinhui Zhang, Yueyang Gao, Zheng Li
      Pages 3-20

    3. Generative Self-supervised Learning for Medical Image Classification

      • Inhyuk Park, Sungeun Kim, Jongbin Ryu
      Pages 21-38

    4. Cross Feature Fusion of Fundus Image and Generated Lesion Map for Referable Diabetic Retinopathy Classification

      • Dahyun Mok, Junghyun Bum, Le Duc Tai, Hyunseung Choo
      Pages 39-53

    5. Spatiotemporal Pooling on Appropriate Topological Maps Represented as Two-Dimensional Images for EEG Classification

      • Takuto Fukushima, Ryusuke Miyamoto
      Pages 54-71

    6. MECFormer: Multi-task Whole Slide Image Classification with Expert Consultation Network

      • Doanh C. Bui, Jin Tae Kwak
      Pages 72-87

    7. Feature Estimation of Global Language Processing in EEG Using Attention Maps

      • Dai Shimizu, Ko Watanabe, Andreas Dengel
      Pages 88-103

    8. EDAF: Early Detection of Atrial Fibrillation from Post-stroke Brain MRI

      • Mohammad Javad Shokri, Nandakishor Desai, Aravinda S. Rao, Angelos Sharobeam, Bernard Yan, Marimuthu Palaniswami
      Pages 104-120

    9. Domain Aware Multi-task Pretraining of 3D Swin Transformer for T1-Weighted Brain MRI

      • Jonghun Kim, Mansu Kim, Hyunjin Park
      Pages 121-141

    10. Seeing Through Expert’s Eyes: Leveraging Radiologist Eye Gaze and Speech Report with Graph Neural Networks for Chest X-Ray Image Classification

      • Jamalia Sultana, Ruwen Qin, Zhaozheng Yin
      Pages 142-158

    11. Few Exemplar-Based General Medical Image Segmentation via Domain-Aware Selective Adaptation

      • Chen Xu, Qiming Huang, Yuqi Hou, Jiangxing Wu, Fan Zhang, Hyung Jin Chang et al.
      Pages 159-173

    12. Polyp-SES: Automatic Polyp Segmentation with Self-enriched Semantic Model

      • Quang Vinh Nguyen, Thanh Hoang Son Vo, Sae-Ryung Kang, Soo-Hyung Kim
      Pages 174-190

    13. TexDC: Text-Driven Disease-Aware 4D Cardiac Cine MRI Images Generation

      • Cong Liu, Xiaohan Yuan, ZhiPeng Yu, Yangang Wang
      Pages 191-208

    14. GeoRefineNet: A Multistage Framework for Enhanced Cephalometric Landmark Detection in CBCT Images Using 3D Geometric Information

      • Thanaporn Viriyasaranon, Serie Ma, Jang-Hwan Choi
      Pages 209-221

    15. LoG-VMamba : Local-Global Vision Mamba for Medical Image Segmentation

      • Trung DQ. Dang, Huy Hoang Nguyen, Aleksei Tiulpin
      Pages 222-240

    16. RayEmb: Arbitrary Landmark Detection in X-Ray Images Using Ray Embedding Subspace

      • Pragyan Shrestha, Chun Xie, Yuichi Yoshii, Itaru Kitahara
      Pages 241-257

  3. Motion and Tracking

    1. Front Matter

      Pages 259-259
      Download chapter PDF

    2. EgoCoord: Self-calibrated Egocentric 3D Body Pose Estimation Using Pixel-Wise Coordinate Encoding

      • Jong-Bae Lee, Hyoung Lee, Beom-Ryeol Lee, Byung-Gook Lee, Wook-Ho Son
      Pages 261-277

    3. BoT-FaceSORT: Bag-of-Tricks for Robust Multi-face Tracking in Unconstrained Videos

      • Jonghyeon Kim, Chan-Yang Ju, Gun-Woo Kim, Dong-Ho Lee
      Pages 278-294
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Other volumes

  1. Computer Vision – ACCV 2024

  2. Computer Vision – ACCV 2024

  3. Computer Vision – ACCV 2024

  4. Computer Vision – ACCV 2024

  5. Computer Vision – ACCV 2024

  6. Computer Vision – ACCV 2024

  7. Computer Vision – ACCV 2024

  8. Computer Vision – ACCV 2024

  9. Computer Vision – ACCV 2024

  10. Computer Vision – ACCV 2024

Editors and Affiliations

  • Pohang University of Science and Technology (POSTECH), Pohang, Korea (Republic of)

    Minsu Cho

  • Mohamed bin Zayed University of Artificial Intelligence, Abu Dhabi, United Arab Emirates

    Ivan Laptev

  • Google, Mountain View, USA

    Du Tran

  • National University of Singapore, Singapore, Singapore

    Angela Yao

  • Peking University, Beijing, China

    Hongbin Zha

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