Tao Mei
Impact in
- Computer Vision and Pattern Recognition top 0.02%
- Advanced Image and Video Retrieval Techniques
- Multimodal Machine Learning Applications
- Human Pose and Action Recognition
- Video Analysis and Summarization
- Video Surveillance and Tracking Methods
- Advanced Neural Network Applications
- Image Retrieval and Classification Techniques
- Artificial Intelligence top 0.05%
- Domain Adaptation and Few-Shot Learning
Papers in
-
- Advanced Image and Video Retrieval Techniques 207
- Video Analysis and Summarization 116
- Multimodal Machine Learning Applications 116
- Image Retrieval and Classification Techniques 99
- Human Pose and Action Recognition 79
- Video Surveillance and Tracking Methods 36
- Advanced Neural Network Applications 31
-
- Domain Adaptation and Few-Shot Learning 60
- Co-authors
- Ting Yao (103 shared papers)Yingwei Pan (54 shared papers)Zhaofan Qiu (33 shared papers)Yong Rui (26 shared papers)Jianlong Fu (16 shared papers)Xian‐Sheng Hua (85 shared papers)Heliang Zheng (4 shared papers)Yehao Li (19 shared papers)
- Journals
- IEEE Transactions on Multimedia (40 papers)IEEE Transactions on Circuits and Systems for Video Technology (18 papers)ACM Transactions on Multimedia Computing Communications and Applications (15 papers)IEEE Transactions on Image Processing (9 papers)IEEE Transactions on Pattern Analysis and Machine Intelligence (8 papers)
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Tao Mei
454 papers receiving 24.8k citations
Tao Mei's Hit Papers
Peers
Comparison fields: 5 of 190
- Computer Vision and Pattern Recognition 19.8k
- Artificial Intelligence 8.7k
- Media Technology 1.5k
- Signal Processing 1.5k
- Human-Computer Interaction 659
Countries citing papers authored by Tao Mei
This map shows the geographic impact of Tao Mei's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Tao Mei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tao Mei more than expected).
Fields of papers citing papers by Tao Mei
This network shows the impact of papers produced by Tao Mei. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Tao Mei. The network helps show where Tao Mei may publish in the future.
Co-authors
The 25 scholars most cited alongside Tao Mei, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 463 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Learning Spatio-Temporal Representation with Pseudo-3D Residual Networks Hit paper breakdown → | 2017 | 1418 |
| 2 | MSR-VTT: A Large Video Description Dataset for Bridging Video and Language Hit paper breakdown → | 2016 | 1283 |
| 3 | Look Closer to See Better: Recurrent Attention Convolutional Neural Network for Fine-Grained Image Recognition Hit paper breakdown → | 2017 | 1051 |
| 4 | Learning Multi-attention Convolutional Neural Network for Fine-Grained Image Recognition Hit paper breakdown → | 2017 | 770 |
| 5 | Exploring Visual Relationship for Image Captioning Hit paper breakdown → | 2018 | 672 |
| 6 | Boosting Image Captioning with Attributes Hit paper breakdown → | 2017 | 546 |
| 7 | Contextual Transformer Networks for Visual Recognition Hit paper breakdown → | 2022 | 545 |
| 8 | X-Linear Attention Networks for Image Captioning Hit paper breakdown → | 2020 | 522 |
| 9 | A Deep Learning-Based Approach to Progressive Vehicle Re-identification for Urban Surveillance Hit paper breakdown → | 2016 | 500 |
| 10 | Jointly Modeling Embedding and Translation to Bridge Video and Language Hit paper breakdown → | 2016 | 449 |
| 11 | Multiview Spectral Embedding Hit paper breakdown → | 2010 | 429 |
| 12 | 2007 | 402 | |
| 13 | Subspace Clustering by Block Diagonal Representation Hit paper breakdown → | 2018 | 366 |
| 14 | PROVID: Progressive and Multimodal Vehicle Reidentification for Large-Scale Urban Surveillance Hit paper breakdown → | 2017 | 352 |
| 15 | 2018 | 340 | |
| 16 | 2019 | 306 | |
| 17 | 2019 | 298 | |
| 18 | 2018 | 295 | |
| 19 | Personalized Recommendation Combining User Interest and Social Circle Hit paper breakdown → | 2013 | 277 |
| 20 | 2017 | 266 |
About Tao Mei
Tao Mei is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Signal Processing, Information Systems and Statistical and Nonlinear Physics, having authored 463 papers that have together received 25.3k indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (207 papers), Video Analysis and Summarization (116 papers), Multimodal Machine Learning Applications (116 papers), Image Retrieval and Classification Techniques (99 papers), Human Pose and Action Recognition (79 papers), Domain Adaptation and Few-Shot Learning (60 papers), Video Surveillance and Tracking Methods (36 papers) and Advanced Neural Network Applications (31 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (19.8k citations), Artificial Intelligence (8.7k citations), Media Technology (1.5k citations), Signal Processing (1.5k citations) and Human-Computer Interaction (659 citations). Tao Mei has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Ting Yao, Yingwei Pan, Zhaofan Qiu, Yong Rui, Jianlong Fu, Xian‐Sheng Hua, Heliang Zheng, Yehao Li, Jiebo Luo and Shipeng Li. Their work appears in journals such as IEEE Transactions on Multimedia, IEEE Transactions on Circuits and Systems for Video Technology, ACM Transactions on Multimedia Computing Communications and Applications, IEEE Transactions on Image Processing and IEEE Transactions on Pattern Analysis and Machine Intelligence.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.