Weiming Hu
Impact in
- Computer Vision and Pattern Recognition top 0.05%
- Video Surveillance and Tracking Methods
- Human Pose and Action Recognition
- Advanced Image and Video Retrieval Techniques
- Visual Attention and Saliency Detection
- Advanced Vision and Imaging
- Video Analysis and Summarization
- Computational Mathematics top 0.5%
Papers in
-
- Video Surveillance and Tracking Methods 118
- Human Pose and Action Recognition 99
- Advanced Image and Video Retrieval Techniques 63
- Video Analysis and Summarization 40
- Advanced Neural Network Applications 37
- Advanced Vision and Imaging 33
-
- Anomaly Detection Techniques and Applications 42
- Co-authors
- Bing Li (80 shared papers)Stephen J. Maybank (44 shared papers)Tieniu Tan (15 shared papers)Liang Wang (7 shared papers)Junliang Xing (37 shared papers)Chunfeng Yuan (58 shared papers)Jin Gao (25 shared papers)Zhongfei Zhang (18 shared papers)
- Journals
- IEEE Transactions on Image Processing (21 papers)IEEE Transactions on Pattern Analysis and Machine Intelligence (16 papers)IEEE Transactions on Circuits and Systems for Video Technology (12 papers)Pattern Recognition (11 papers)International Journal of Computer Vision (11 papers)
- Partner nations
- ChinaUnited KingdomUnited States
In The Last Decade
Weiming Hu
338 papers receiving 14.9k citations
Weiming Hu's Hit Papers
Peers
Comparison fields: 5 of 178
- Computer Vision and Pattern Recognition 12.2k
- Computational Mathematics 206
- Safety, Risk, Reliability and Quality 1.2k
- Human-Computer Interaction 774
- Artificial Intelligence 3.6k
Countries citing papers authored by Weiming Hu
This map shows the geographic impact of Weiming Hu'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 Weiming Hu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Weiming Hu more than expected).
Fields of papers citing papers by Weiming Hu
This network shows the impact of papers produced by Weiming Hu. 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 Weiming Hu. The network helps show where Weiming Hu may publish in the future.
Co-authors
The 25 scholars most cited alongside Weiming Hu, 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 351 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Distractor-Aware Siamese Networks for Visual Object Tracking Hit paper breakdown → | 2018 | 1069 |
| 2 | Fast Online Object Tracking and Segmentation: A Unifying Approach Hit paper breakdown → | 2019 | 1042 |
| 3 | Recent developments in human motion analysis Hit paper breakdown → | 2003 | 744 |
| 4 | A survey of appearance models in visual object tracking Hit paper breakdown → | 2013 | 578 |
| 5 | Ocean: Object-Aware Anchor-Free Tracking Hit paper breakdown → | 2020 | 553 |
| 6 | RGBD Salient Object Detection: A Benchmark and Algorithms Hit paper breakdown → | 2014 | 500 |
| 7 | A Survey on Visual Content-Based Video Indexing and Retrieval Hit paper breakdown → | 2011 | 462 |
| 8 | Learning Attentions: Residual Attentional Siamese Network for High Performance Online Visual Tracking Hit paper breakdown → | 2018 | 449 |
| 9 | Transfer Learning Based Visual Tracking with Gaussian Processes Regression Hit paper breakdown → | 2014 | 364 |
| 10 | 2006 | 322 | |
| 11 | 2003 | 273 | |
| 12 | 2020 | 232 | |
| 13 | Rethinking the Competition Between Detection and ReID in Multiobject Tracking Hit paper breakdown → | 2022 | 218 |
| 14 | 2019 | 218 | |
| 15 | 2006 | 207 | |
| 16 | 2007 | 200 | |
| 17 | 2021 | 192 | |
| 18 | GasHis-Transformer: A multi-scale visual transformer approach for gastric histopathological image detection Hit paper breakdown → | 2022 | 192 |
| 19 | 2004 | 177 | |
| 20 | 2018 | 174 |
About Weiming Hu
Weiming Hu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Biomedical Engineering, Media Technology and Signal Processing, having authored 351 papers that have together received 15.4k indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (118 papers), Human Pose and Action Recognition (99 papers), Advanced Image and Video Retrieval Techniques (63 papers), Anomaly Detection Techniques and Applications (42 papers), Video Analysis and Summarization (40 papers), Advanced Neural Network Applications (37 papers), Advanced Vision and Imaging (33 papers) and Gait Recognition and Analysis (30 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (12.2k citations), Computational Mathematics (206 citations), Safety, Risk, Reliability and Quality (1.2k citations), Human-Computer Interaction (774 citations) and Artificial Intelligence (3.6k citations). Weiming Hu has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Bing Li, Stephen J. Maybank, Tieniu Tan, Liang Wang, Junliang Xing, Chunfeng Yuan, Jin Gao, Zhongfei Zhang, Luca Bertinetto and Li Zhang. Their work appears in journals such as IEEE Transactions on Image Processing, IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Circuits and Systems for Video Technology, Pattern Recognition and International Journal of Computer Vision.
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.