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Computer Science
China
2026

D-Index & Metrics

Computer Science

D-Index
93
Citations
37037
World Ranking
513
National Ranking
71

Research.com Recognitions

  • 2026 - Research.com Computer Science in China Leader Award
  • 2025 - Research.com Computer Science in China Leader Award
  • 2023 - Research.com Computer Science in China Leader Award
  • 2022 - Research.com Computer Science in China Leader Award
  • 2019 - IEEE Fellow For contributions to multimedia analysis and applications
  • 2016 - ACM Distinguished Member
  • 2012 - ACM Senior Member

Overview

Tao Mei is a researcher affiliated with Jingdong in China. Their work primarily spans the field of computer science, with a strong focus on computer vision and pattern recognition.

The scientist's research includes significant contributions to the following subfields:

  • Computer Vision and Pattern Recognition
  • Artificial Intelligence
  • Biomedical Engineering
  • Civil and Structural Engineering
  • Media Technology

The main topics covered by Tao Mei include:

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

Tao Mei has authored numerous publications in several prominent venues. Frequent publication venues include:

  • arXiv (Cornell University)
  • IEEE Transactions on Multimedia
  • 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • Proceedings of the AAAI Conference on Artificial Intelligence

Recent publications by Tao Mei include:

  • Contextual Transformer Networks for Visual Recognition, 2022, IEEE Transactions on Pattern Analysis and Machine Intelligence
  • Gait Recognition in the Wild with Dense 3D Representations and A Benchmark, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • Mis-Classified Vector Guided Softmax Loss for Face Recognition, 2020, Proceedings of the AAAI Conference on Artificial Intelligence
  • VehicleNet: Learning Robust Visual Representation for Vehicle Re-Identification, 2020, IEEE Transactions on Multimedia
  • CM-NAS: Cross-Modality Neural Architecture Search for Visible-Infrared Person Re-Identification, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV)

Tao Mei has collaborated frequently with researchers such as Ting Yao, Yingwei Pan, Zhaofan Qiu, Wu Liu, and Yehao Li.

The researcher has also contributed to book publications, particularly with Springer Science+Business Media, with six books covering topics in pattern recognition and artificial intelligence.

Awards received by Tao Mei include:

  • IEEE Fellow (2019) for contributions to multimedia analysis and applications
  • ACM Distinguished Member (2016)
  • ACM Senior Member (2012)

Best Publications

  • Learning Spatio-Temporal Representation with Pseudo-3D Residual Networks

    Zhaofan Qiu;Ting Yao;Tao Mei

  • MSR-VTT: A Large Video Description Dataset for Bridging Video and Language

    Jun Xu;Tao Mei;Ting Yao;Yong Rui

  • Look Closer to See Better: Recurrent Attention Convolutional Neural Network for Fine-Grained Image Recognition

    Jianlong Fu;Heliang Zheng;Tao Mei

  • Learning Multi-attention Convolutional Neural Network for Fine-Grained Image Recognition

    Heliang Zheng;Jianlong Fu;Tao Mei;Jiebo Luo

  • Exploring Visual Relationship for Image Captioning

    Ting Yao;Yingwei Pan;Yehao Li;Tao Mei

  • Boosting Image Captioning with Attributes

    Ting Yao;Yingwei Pan;Yehao Li;Zhaofan Qiu

  • Correlative multi-label video annotation

    Guo-Jun Qi;Xian-Sheng Hua;Yong Rui;Jinhui Tang

  • Contextual Transformer Networks for Visual Recognition

    Yehao Li;Ting Yao;Yingwei Pan;Tao Mei

  • Jointly Modeling Embedding and Translation to Bridge Video and Language

    Yingwei Pan;Tao Mei;Ting Yao;Houqiang Li

  • A Deep Learning-Based Approach to Progressive Vehicle Re-identification for Urban Surveillance

    Xinchen Liu;Wu Liu;Tao Mei;Huadong Ma

  • Multiview Spectral Embedding

    Tian Xia;Dacheng Tao;Tao Mei;Yongdong Zhang

  • Part-Aligned Bilinear Representations for Person Re-Identification

    Yumin Suh;Jingdong Wang;Siyu Tang;Tao Mei

  • Destruction and Construction Learning for Fine-Grained Image Recognition

    Yue Chen;Yalong Bai;Wei Zhang;Tao Mei

  • Subspace Clustering by Block Diagonal Representation

    Canyi Lu;Jiashi Feng;Zhouchen Lin;Tao Mei

  • PROVID: Progressive and Multimodal Vehicle Reidentification for Large-Scale Urban Surveillance

    Xinchen Liu;Wu Liu;Tao Mei;Huadong Ma

  • Personalized Recommendation Combining User Interest and Social Circle

    Xueming Qian;He Feng;Guoshuai Zhao;Tao Mei

  • Fully Convolutional Adaptation Networks for Semantic Segmentation

    Yiheng Zhang;Zhaofan Qiu;Ting Yao;Dong Liu

  • Video Captioning with Transferred Semantic Attributes

    Yingwei Pan;Ting Yao;Houqiang Li;Tao Mei

  • Deep Collaborative Embedding for Social Image Understanding

    Zechao Li;Jinhui Tang;Tao Mei

  • Gaussian Temporal Awareness Networks for Action Localization

    Fuchen Long;Ting Yao;Zhaofan Qiu;Xinmei Tian

  • Learning Multi-Attention Convolutional Neural Network for Fine-Grained Image Recognition (ICCV 2017 Oral)

    Heliang Zheng;Jianlong Fu;Tao Mei;Jiebo Luo

Frequent Co-Authors

Ting Yao
Ting Yao University of Science and Technology of China
Xian-Sheng Hua
Xian-Sheng Hua Terminus International
Shipeng Li
Shipeng Li Chinese University of Hong Kong, Shenzhen
Yingwei Pan
Yingwei Pan University of Science and Technology of China
Yong Rui
Yong Rui Lenovo (China)
Houqiang Li
Houqiang Li University of Science and Technology of China
Jiebo Luo
Jiebo Luo University of Rochester
Jianlong Fu
Jianlong Fu Microsoft (United States)
Jingdong Wang
Jingdong Wang Baidu (China)
Chong-Wah Ngo
Chong-Wah Ngo Singapore Management University

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