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Computer Vision – ACCV 2024

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

  • Conference proceedings
  • © 2025

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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 15480)

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 (26 papers)

  1. Front Matter

    Pages i-xxiii
    Download chapter PDF

  2. 3D Computer Vision

    1. Front Matter

      Pages 1-1
      Download chapter PDF

    2. DA\(^2\): Degree-Accumulated Data Augmentation on Point Clouds with Curriculum Dynamic Threshold Selection

      • Ta Chun Tai, Nhat-Tuong Do-Tran, Ngoc-Hoang-Lam Le, Yung-Hui Li, Ching-Chun Huang
      Pages 3-19

    3. The Devil Is in the Details: Simple Remedies for Image-to-LiDAR Representation Learning

      • Wonjun Jo, Kwon Byung-Ki, Kim Ji-Yeon, Hawook Jeong, Kyungdon Joo, Tae-Hyun Oh
      Pages 20-37

    4. VIPNet: Combining Viewpoint Information and Shape Priors for Instant Multi-view 3D Reconstruction

      • Weining Ye, Zhixuan Li, Tingting Jiang
      Pages 38-54

    5. A Generic Autoregressive Predictive Feedback Framework for Skeleton-Based Action Recognition

      • Xinpeng Yin, Jing Hu, Wenming Cao
      Pages 55-70

    6. MV2MP: Segmentation Free Performance Capture of Humans in Direct Physical Contact from Sparse Multi-Cam Setups

      • Sergei Eliseev, Leonid Shtanko, Rasim Akhunzianov, Yaroslav Romanenko, Anatoly Starostin
      Pages 71-87

    7. Direct Alignment for Robust NeRF Learning

      • Ravi Garg, Shin-Fang Chng, Simon Lucey
      Pages 88-104

    8. HAHA: Highly Articulated Gaussian Human Avatars with Textured Mesh Prior

      • David Svitov, Pietro Morerio, Lourdes Agapito, Alessio Del Bue
      Pages 105-122

    9. Structure-Centric Robust Monocular Depth Estimation via Knowledge Distillation

      • Runze Chen, Haiyong Luo, Fang Zhao, Jingze Yu, Yupeng Jia, Juan Wang et al.
      Pages 123-140

    10. 4DPV: 4D Pet from Videos by Coarse-to-Fine Non-rigid Radiance Fields

      • Sergio M. de Paco, Antonio Agudo
      Pages 141-157

    11. Multiple Active Stereo Systems Calibration Method Based on Neural SDF Using DSSS for Wide Area 3D Reconstruction

      • Kota Nishihara, Ryo Furukawa, Ryusuke Sagawa, Hiroshi Kawasaki
      Pages 158-174

    12. Learning 3D Point Cloud Registration as a Single Optimization Problem

      • Rintaro Yanagi, Atsushi Hashimoto, Naoya Chiba, Shusaku Sone, Jiaxin Ma, Yoshitaka Ushiku
      Pages 175-193

    13. Attention4Align: Align Multi-view Parts Via Part2Part Hierarchical Attention Map for Fine-Grained 3D Object Classification

      • Runchu Zhang, Jiahe Yue, Zhe Zhang, Jie Ma
      Pages 194-210

    14. SeSame: Simple, Easy 3D Object Detection with Point-Wise Semantics

      • O. Hayeon, Chanuk Yang, Kunsoo Huh
      Pages 211-227

    15. CCNDF: Curvature Constrained Neural Distance Fields from 3D LiDAR Sequences

      • Akshit Singh, Karan Bhakuni, Rajendra Nagar
      Pages 228-244

    16. Relative Pose from Cylinder Silhouettes

      • Anna Gummeson, Magnus Oskarsson
      Pages 245-261

    17. MeshGS: Adaptive Mesh-Aligned Gaussian Splatting for High-Quality Rendering

      • Jaehoon Choi, Yonghan Lee, Hyungtae Lee, Heesung Kwon, Dinesh Manocha
      Pages 262-279

    18. Enhancing Robustness to Noise Corruption for Point Cloud Recognition via Spatial Sorting and Set-Mixing Aggregation Module

      • Dingxin Zhang, Jianhui Yu, Tengfei Xue, Chaoyi Zhang, Dongnan Liu, Weidong Cai
      Pages 280-297

    19. Learning Dual Hierarchical Representation for 3D Surface Reconstruction

      • Jiyoon Shin, Youngwook Kim, Sangwoo Hong, Jungwoo Lee
      Pages 298-315
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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

  11. Computer Vision – ACCV 2024 Workshops

  12. Computer Vision – ACCV 2024 Workshops

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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