World's Best Scientists 2026 revealed!
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Computer Science
China
2026

D-Index & Metrics

Computer Science

D-Index
89
Citations
41568
World Ranking
635
National Ranking
91

Research.com Recognitions

  • 2026 - Research.com Computer Science in China Leader Award
  • 2025 - Research.com Computer Science in China Leader Award

Overview

Dahua Lin is affiliated with the Chinese University of Hong Kong in China and has a research focus predominantly within the field of Computer Science. Their work emphasizes the subfields of Computer Vision and Pattern Recognition, Artificial Intelligence, Computational Mechanics, Control and Systems Engineering, and Computer Graphics and Computer-Aided Design.

The scientist has contributed extensively to topics such as Human Pose and Action Recognition, Multimodal Machine Learning Applications, Advanced Neural Network Applications, Natural Language Processing Techniques, Advanced Vision and Imaging, 3D Shape Modeling and Analysis, and Video Analysis and Summarization.

Recent papers authored or coauthored by Dahua Lin include:

  • MMDetection: Open MMLab Detection Toolbox and Benchmark, 2024, arXiv (Cornell University)
  • Revisiting Skeleton-based Action Recognition, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • Exploiting Deep Generative Prior for Versatile Image Restoration and Manipulation, 2021, IEEE Transactions on Pattern Analysis and Machine Intelligence
  • PYSKL: Towards Good Practices for Skeleton Action Recognition, 2022, Proceedings of the 30th ACM International Conference on Multimedia
  • Cylinder3D: An Effective 3D Framework for Driving-scene LiDAR Semantic Segmentation, 2020, arXiv (Cornell University)

Dahua Lin frequently collaborates with several researchers, with notable coauthor relationships including:

  • Ziwei Liu
  • Conghui He
  • Haodong Duan
  • Yuhang Zang
  • Yuhang Cao

The most common venues for Dahua Lin's publications are:

  • arXiv (Cornell University)
  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • International Journal of Computer Vision

Best Publications

  • Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action Recognition

    Sijie Yan;Yuanjun Xiong;Dahua Lin

  • Temporal Segment Networks: Towards Good Practices for Deep Action Recognition

    Limin Wang;Yuanjun Xiong;Zhe Wang;Yu Qiao

  • Unsupervised Feature Learning via Non-parametric Instance Discrimination

    Zhirong Wu;Yuanjun Xiong;Stella X. Yu;Dahua Lin

  • Libra R-CNN: Towards Balanced Learning for Object Detection

    Jiangmiao Pang;Kai Chen;Jianping Shi;Huajun Feng

  • Hybrid Task Cascade for Instance Segmentation

    Kai Chen;Wanli Ouyang;Chen Change Loy;Dahua Lin

  • PSANet: Point-wise Spatial Attention Network for Scene Parsing

    Hengshuang Zhao;Yi Zhang;Shu Liu;Jianping Shi

  • Learning a Unified Classifier Incrementally via Rebalancing

    Saihui Hou;Xinyu Pan;Chen Change Loy;Zilei Wang

  • Revisiting Skeleton-based Action Recognition

    Unknown

  • Temporal Segment Networks for Action Recognition in Videos

    Limin Wang;Yuanjun Xiong;Zhe Wang;Yu Qiao

  • MMDetection: Open MMLab Detection Toolbox and Benchmark.

    Kai Chen;Jiaqi Wang;Jiangmiao Pang;Yuhang Cao

  • CARAFE: Content-Aware ReAssembly of FEatures

    Jiaqi Wang;Kai Chen;Rui Xu;Ziwei Liu

  • Temporal Action Detection with Structured Segment Networks

    Yue Zhao;Yuanjun Xiong;Limin Wang;Zhirong Wu

  • Region Proposal by Guided Anchoring

    Jiaqi Wang;Kai Chen;Shuo Yang;Chen Change Loy

  • FCOS3D: Fully Convolutional One-Stage Monocular 3D Object Detection

    Tai Wang;Xinge Zhu;Jiangmiao Pang;Dahua Lin

  • UntrimmedNets for Weakly Supervised Action Recognition and Detection

    Limin Wang;Yuanjun Xiong;Dahua Lin;Luc Van Gool

  • Towards Diverse and Natural Image Descriptions via a Conditional GAN

    Bo Dai;Sanja Fidler;Raquel Urtasun;Dahua Lin

  • Cylindrical and Asymmetrical 3D Convolution Networks for LiDAR Segmentation

    Xinge Zhu;Hui Zhou;Tai Wang;Fangzhou Hong

  • Detecting Visual Relationships with Deep Relational Networks

    Bo Dai;Yuqi Zhang;Dahua Lin

  • Adapting Object Detectors via Selective Cross-Domain Alignment

    Xinge Zhu;Jiangmiao Pang;Ceyuan Yang;Jianping Shi

  • Molecular recognition using corona phase complexes made of synthetic polymers adsorbed on carbon nanotubes

    Jingqing Zhang;Markita P. Landry;Paul W. Barone;Jong Ho Kim;Jong Ho Kim

  • Holistic Scene Understanding for 3D Object Detection with RGBD Cameras

    Dahua Lin;Sanja Fidler;Raquel Urtasun

  • Temporal Action Detection with Structured Segment Networks

    Yue Zhao;Yuanjun Xiong;Yuanjun Xiong;Limin Wang;Zhirong Wu;Zhirong Wu

Frequent Co-Authors

Xiaoou Tang
Xiaoou Tang Chinese University of Hong Kong
Chen Change Loy
Chen Change Loy Nanyang Technological University
Jianping Shi
Jianping Shi SenseTime
Ziwei Liu
Ziwei Liu Nanyang Technological University
Bolei Zhou
Bolei Zhou University of California, Los Angeles
Junjie Yan
Junjie Yan SenseTime
Limin Wang
Limin Wang Nanjing University
Sanja Fidler
Sanja Fidler University of Toronto
Raquel Urtasun
Raquel Urtasun University of Toronto
Wanli Ouyang
Wanli Ouyang Shanghai AI Lab

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