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Computer Science

D-Index
78
Citations
40734
World Ranking
1166
National Ranking
163

Overview

Weiming Hu is a researcher affiliated with the Chinese Academy of Sciences in China. Their work primarily spans the field of computer science, with a specialized focus on computer vision and pattern recognition. Within this main domain, they have contributed to research in artificial intelligence, media technology, radiology, nuclear medicine and imaging, as well as aerospace engineering.

The research topics addressed by Weiming Hu include:

  • Advanced Neural Network Applications
  • Human Pose and Action Recognition
  • Video Surveillance and Tracking Methods
  • Multimodal Machine Learning Applications
  • Advanced Image and Video Retrieval Techniques
  • Domain Adaptation and Few-Shot Learning
  • Video Analysis and Summarization

Weiming Hu has co-authored numerous publications with several frequent collaborators. These co-authors include:

  • Bing Li
  • Chunfeng Yuan
  • Chen Li
  • Marcin Grzegorzek
  • Congxuan Zhang

The researcher's work has appeared in a variety of scientific venues. The most common publication outlets include:

  • arXiv (Cornell University)
  • IEEE Transactions on Circuits and Systems for Video Technology
  • IEEE Transactions on Image Processing
  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • Proceedings of the AAAI Conference on Artificial Intelligence

Among recent papers authored or co-authored by Weiming Hu are:

  • "Rethinking the Competition Between Detection and ReID in Multiobject Tracking," 2022, IEEE Transactions on Image Processing
  • "Learn to Match: Automatic Matching Network Design for Visual Tracking," 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • "GasHis-Transformer: A multi-scale visual transformer approach for gastric histopathological image detection," 2022, Pattern Recognition
  • "3DCANN: A Spatio-Temporal Convolution Attention Neural Network for EEG Emotion Recognition," 2021, IEEE Journal of Biomedical and Health Informatics
  • "CVM-Cervix: A hybrid cervical Pap-smear image classification framework using CNN, visual transformer and multilayer perceptron," 2022, Pattern Recognition

Best Publications

  • A survey on visual surveillance of object motion and behaviors

    Weiming Hu;Tieniu Tan;Liang Wang;S. Maybank

  • The Visual Object Tracking VOT2016 Challenge Results

    Matej Kristan;Aleš Leonardis;Jiři Matas;Michael Felsberg

  • The Visual Object Tracking VOT2017 Challenge Results

    Matej Kristan;Ales Leonardis;Jiri Matas;Michael Felsberg

  • The Visual Object Tracking VOT2015 Challenge Results

    Matej Kristan;Jiri Matas;Ale Leonardis;Michael Felsberg

  • Silhouette analysis-based gait recognition for human identification

    Liang Wang;Tieniu Tan;Huazhong Ning;Weiming Hu

  • Fast Online Object Tracking and Segmentation: A Unifying Approach

    Qiang Wang;Li Zhang;Luca Bertinetto;Weiming Hu

  • Distractor-aware Siamese Networks for Visual Object Tracking

    Zheng Zhu;Qiang Wang;Bo Li;Wei Wu

  • Recent developments in human motion analysis

    Liang Wang;Weiming Hu;Tieniu Tan

  • The Visual Object Tracking VOT2013 Challenge Results

    Matej Kristan;Roman Pflugfelder;Ale Leonardis;Jiri Matas

  • A survey of appearance models in visual object tracking

    Xi Li;Weiming Hu;Chunhua Shen;Zhongfei Zhang

  • Channel-Wise Topology Refinement Graph Convolution for Skeleton-Based Action Recognition

    Yuxin Chen;Ziqi Zhang;Chunfeng Yuan;Bing Li

  • A Survey on Visual Content-Based Video Indexing and Retrieval

    Weiming Hu;Nianhua Xie;Li Li;Xianglin Zeng

  • Ocean: Object-aware Anchor-free Tracking

    Zhipeng Zhang;Houwen Peng;Jianlong Fu;Bing Li

  • A system for learning statistical motion patterns

    Weiming Hu;Xuejuan Xiao;Zhouyu Fu;D. Xie

  • The sixth visual object tracking VOT2018 challenge results

    Matej Kristan;Aleš Leonardis;Jiří Matas;Michael Felsberg

  • RGBD Salient Object Detection: A Benchmark and Algorithms

    Houwen Peng;Bing Li;Weihua Xiong;Weiming Hu

  • Learning Attentions: Residual Attentional Siamese Network for High Performance Online Visual Tracking

    Qiang Wang;Zhu Teng;Junliang Xing;Jin Gao

  • Fusion of static and dynamic body biometrics for gait recognition

    Liang Wang;Huazhong Ning;Tieniu Tan;Weiming Hu

  • Transfer Learning Based Visual Tracking with Gaussian Processes Regression

    Jin Gao;Haibin Ling;Weiming Hu;Junliang Xing

  • AdaBoost-Based Algorithm for Network Intrusion Detection

    Weiming Hu;Wei Hu;S. Maybank

  • Fusion of static and dynamic body biometrics for gait recognition

    Liang Wang;Huazhong Ning;Tieniu Tan;Weiming Hu

Frequent Co-Authors

Stephen J. Maybank
Stephen J. Maybank Birkbeck, University of London
Junliang Xing
Junliang Xing Tsinghua University
Xi Li
Xi Li Zhejiang University
Tieniu Tan
Tieniu Tan Chinese Academy of Sciences
Haibin Ling
Haibin Ling Westlake University
Zhongfei Zhang
Zhongfei Zhang Binghamton University
Philip H. S. Torr
Philip H. S. Torr University of Oxford
Hanzi Wang
Hanzi Wang Xiamen University
Wanqing Li
Wanqing Li University of Wollongong
Michael Felsberg
Michael Felsberg Linköping University

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