Dahu Shi
Impact in
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- Video Surveillance and Tracking Methods
- Human Pose and Action Recognition
- Advanced Neural Network Applications
- Advanced Vision and Imaging
- Advanced Image and Video Retrieval Techniques
- Human-Computer Interaction top 10%
- Hand Gesture Recognition Systems
Papers in
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- Advanced Image and Video Retrieval Techniques 4
- Video Surveillance and Tracking Methods 4
- Human Pose and Action Recognition 4
- Multimodal Machine Learning Applications 2
- Advanced Neural Network Applications 2
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- Domain Adaptation and Few-Shot Learning 3
- Anomaly Detection Techniques and Applications 2
- Co-authors
- Xing Wei (6 shared papers)Yihong Gong (3 shared papers)Yifan Bai (1 shared paper)Wenming Tan (5 shared papers)Shiliang Pu (3 shared papers)Xiaodong Yu (1 shared paper)Shizhou Zhang (1 shared paper)Yong Xia (1 shared paper)
- Journals
- Neurocomputing (1 paper)2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (1 paper)SSRN Electronic Journal (1 paper)Proceedings of the AAAI Conference on Artificial Intelligence (1 paper)
- Partner nations
- China
In The Last Decade
Dahu Shi
10 papers receiving 304 citations
Dahu Shi's Hit Papers
Peers
Comparison fields: 5 of 50
- Computer Vision and Pattern Recognition 259
- Human-Computer Interaction 38
- Artificial Intelligence 85
- Aerospace Engineering 61
- Media Technology 19
Countries citing papers authored by Dahu Shi
This map shows the geographic impact of Dahu Shi'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 Dahu Shi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dahu Shi more than expected).
Fields of papers citing papers by Dahu Shi
This network shows the impact of papers produced by Dahu Shi. 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 Dahu Shi. The network helps show where Dahu Shi may publish in the future.
Co-authors
The 25 scholars most cited alongside Dahu Shi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Autoregressive Visual Tracking Hit paper breakdown → | 2023 | 148 |
| 2 | 2022 | 89 | |
| 3 | 2021 | 23 | |
| 4 | 2022 | 14 | |
| 5 | 2017 | 13 | |
| 6 | 2023 | 11 | |
| 7 | 2023 | 5 | |
| 8 | 2023 | 3 | |
| 9 | 2015 | 1 | |
| 10 | 2020 | 1 |
About Dahu Shi
Dahu Shi is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Aerospace Engineering, Control and Systems Engineering and Computational Mechanics, having authored 10 papers that have together received 308 indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (4 papers), Video Surveillance and Tracking Methods (4 papers), Human Pose and Action Recognition (4 papers), Domain Adaptation and Few-Shot Learning (3 papers), Multimodal Machine Learning Applications (2 papers), Anomaly Detection Techniques and Applications (2 papers), Advanced Neural Network Applications (2 papers) and 3D Shape Modeling and Analysis (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (259 citations), Human-Computer Interaction (38 citations), Artificial Intelligence (85 citations), Aerospace Engineering (61 citations) and Media Technology (19 citations). Dahu Shi has collaborated with scholars based in China. Frequent co-authors include Xing Wei, Yihong Gong, Yifan Bai, Wenming Tan, Shiliang Pu, Xiaodong Yu, Xiaodong Yu, Shizhou Zhang, Yong Xia and De Cheng. Their work appears in journals such as Neurocomputing, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), SSRN Electronic Journal and Proceedings of the AAAI Conference on Artificial 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.