World's Best Scientists 2026 revealed!
Caifeng Shan

Caifeng Shan

D-Index & Metrics

Computer Science

D-Index
37
Citations
10899
World Ranking
10477
National Ranking
1292

Overview

Caifeng Shan is affiliated with Nanjing University in China and has contributed extensively to the fields of computer science, engineering, and medicine. Their research spans a range of subfields, including computer vision and pattern recognition, biomedical engineering, artificial intelligence, radiology, nuclear medicine and imaging, and surgery.

The scientist's work addresses several key topics such as advanced neural network applications, medical image segmentation techniques, non-invasive vital sign monitoring, human pose and action recognition, video surveillance and tracking methods, gait recognition and analysis, and visual attention and saliency detection.

Among the recent papers authored or coauthored by Caifeng Shan are:

  • Constructing Stronger and Faster Baselines for Skeleton-Based Action Recognition, 2022, IEEE Transactions on Pattern Analysis and Machine Intelligence
  • Richly Activated Graph Convolutional Network for Robust Skeleton-Based Action Recognition, 2020, IEEE Transactions on Circuits and Systems for Video Technology
  • Tongue Tumor Detection in Hyperspectral Images Using Deep Learning Semantic Segmentation, 2020, IEEE Transactions on Biomedical Engineering
  • CANet: Context Aware Network for Brain Glioma Segmentation, 2021, IEEE Transactions on Medical Imaging
  • Deep learning for video object segmentation: a review, 2022, Artificial Intelligence Review

Caifeng Shan has collaborated frequently with several researchers, including:

  • Peter H. N. de With (14 coauthored works)
  • Liang Wang (13 coauthored works)
  • Zhang Zhang (12 coauthored works)
  • Wenjin Wang (8 coauthored works)
  • Erik Edström (7 coauthored works)

The scientist's publications are commonly featured in these venues:

  • arXiv (Cornell University) with 16 publications
  • IEEE Journal of Biomedical and Health Informatics with 15 publications
  • Neurocomputing with 8 publications
  • IEEE Transactions on Circuits and Systems for Video Technology with 7 publications
  • IEEE Transactions on Instrumentation and Measurement with 4 publications

The research contributions made by Caifeng Shan cover comprehensive applications of deep learning and neural network methodologies for interpreting and analyzing biomedical and video data, including segmentation techniques and action recognition from skeletal structure data.

Best Publications

  • Facial expression recognition based on Local Binary Patterns: A comprehensive study

    Caifeng Shan;Shaogang Gong;Peter W. McOwan

  • Local Binary Patterns and Its Application to Facial Image Analysis: A Survey

    Di Huang;Caifeng Shan;M. Ardabilian;Yunhong Wang

  • Robust facial expression recognition using local binary patterns

    Caifeng Shan;Shaogang Gong;P.W. McOwan

  • Learning local binary patterns for gender classification on real-world face images

    Caifeng Shan

  • Constructing Stronger and Faster Baselines for Skeleton-based Action Recognition.

    Yi-Fan Song;Zhang Zhang;Caifeng Shan;Liang Wang

  • Real-time hand tracking using a mean shift embedded particle filter

    Caifeng Shan;Tieniu Tan;Yucheng Wei

  • Deep Learning Based Brain Tumor Segmentation: A Survey.

    Zhihua Liu;Long Chen;Lei Tong;Feixiang Zhou

  • Real time hand tracking by combining particle filtering and mean shift

    Caifeng Shan;Yucheng Wei;Tieniu Tan;F. Ojardias

  • Stronger, Faster and More Explainable: A Graph Convolutional Baseline for Skeleton-based Action Recognition.

    Yi-Fan Song;Zhang Zhang;Caifeng Shan;Liang Wang

  • Richly Activated Graph Convolutional Network for Robust Skeleton-Based Action Recognition

    Yi-Fan Song;Zhang Zhang;Caifeng Shan;Liang Wang

  • RGB-T Salient Object Detection via Fusing Multi-Level CNN Features

    Qiang Zhang;Nianchang Huang;Lin Yao;Dingwen Zhang

  • Beyond Facial Expressions: Learning Human Emotion from Body Gestures

    Caifeng Shan;Shaogang Gong;Peter W. McOwan

  • Learning Discriminative LBP-Histogram Bins for Facial Expression Recognition

    Caifeng Shan;Tommaso Gritti

  • Local features based facial expression recognition with face registration errors

    T. Gritti;C. Shan;V. Jeanne;R. Braspenning

  • Smile detection by boosting pixel differences

    Caifeng Shan

  • Appearance manifold of facial expression

    Caifeng Shan;Shaogang Gong;Peter W. McOwan

  • Sensors, vision and networks: From video surveillance to activity recognition and health monitoring

    Andrea Prati;Caifeng Shan;Kevin I-Kai Wang

  • Deep learning for video object segmentation: a review

    Unknown

  • Tongue Tumor Detection in Hyperspectral Images Using Deep Learning Semantic Segmentation

    Stojan Trajanovski;Caifeng Shan;Pim J. C. Weijtmans;Susan G. Brouwer de Koning

  • Fusing gait and face cues for human gender recognition

    Caifeng Shan;Shaogang Gong;Peter W. McOwan

  • Deep Salient Object Detection With Contextual Information Guidance

    Yi Liu;Jungong Han;Qiang Zhang;Caifeng Shan

  • Dynamic Facial Expression Recognition Using A Bayesian Temporal Manifold Model.

    Caifeng Shan;Shaogang Gong;Peter W. McOwan

  • Conditional Mutual Infomation Based Boosting for Facial Expression Recognition

    Caifeng Shan;Shaogang Gong;Peter W. McOwan

  • Stronger, Faster and More Explainable: A Graph Convolutional Baseline for Skeleton-based Action Recognition

    Yi-Fan Song;Zhang Zhang;Caifeng Shan;Liang Wang

Frequent Co-Authors

Ronaldus Maria Aarts
Ronaldus Maria Aarts Eindhoven University of Technology
Shaogang Gong
Shaogang Gong Queen Mary University of London
Liang Wang
Liang Wang Chinese Academy of Sciences
Ling Shao
Ling Shao Terminus International
Tieniu Tan
Tieniu Tan Chinese Academy of Sciences
Jiebo Luo
Jiebo Luo University of Rochester
Jungong Han
Jungong Han Aberystwyth University
Huiyu Zhou
Huiyu Zhou University of Leicester
Gerard De Haan
Gerard De Haan Eindhoven University of Technology
Xinbo Gao
Xinbo Gao Xidian University

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