Lin Gui
Impact in
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- Human Pose and Action Recognition
- Advanced Vision and Imaging
- Face recognition and analysis
- Video Surveillance and Tracking Methods
- Human-Computer Interaction top 5%
- Hand Gesture Recognition Systems
Papers in
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- Human Pose and Action Recognition 2
- Advanced Vision and Imaging 1
- Geology 1
- 3D Surveying and Cultural Heritage 1
- Co-authors
- Yaser Ajmal Sheikh (2 shared papers)Bart C. Nabbe (2 shared papers)Lei Tan (2 shared papers)Hanbyul Joo (2 shared papers)Takeo Kanade A (2 shared papers)Shohei Nobuhara (2 shared papers)Iain A. Matthews (2 shared papers)Hao Liu (2 shared papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine Intelligence (1 paper)International Workshop on Education Technology and Computer Science (1 paper)Advances in intelligent systems research (1 paper)IEEE International Conference on Computer Vision (ICCV) (1 paper)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Lin Gui
4 papers receiving 680 citations
Lin Gui's Hit Papers
Peers
Comparison fields: 5 of 43
- Computer Vision and Pattern Recognition 531
- Human-Computer Interaction 70
- Computational Mechanics 135
- Computer Graphics and Computer-Aided Design 17
- Control and Systems Engineering 66
Countries citing papers authored by Lin Gui
This map shows the geographic impact of Lin Gui'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 Lin Gui with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lin Gui more than expected).
Fields of papers citing papers by Lin Gui
This network shows the impact of papers produced by Lin Gui. 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 Lin Gui. The network helps show where Lin Gui may publish in the future.
Co-authors
The 14 scholars most cited alongside Lin Gui, 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 | Panoptic Studio: A Massively Multiview System for Social Motion Capture Hit paper breakdown → | 2015 | 421 |
| 2 | 2017 | 276 | |
| 3 | 2010 | 3 | |
| 4 | 2014 | 2 |
About Lin Gui
Lin Gui is a scholar working on Computer Vision and Pattern Recognition, Geology, Nuclear Energy and Engineering, Waste Management and Disposal and Infectious Diseases, having authored 4 papers that have together received 702 indexed citations. Recurring topics across this work include Human Pose and Action Recognition (2 papers), Advanced Vision and Imaging (1 paper) and 3D Surveying and Cultural Heritage (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (531 citations), Human-Computer Interaction (70 citations), Computational Mechanics (135 citations), Computer Graphics and Computer-Aided Design (17 citations) and Control and Systems Engineering (66 citations). Lin Gui has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Yaser Ajmal Sheikh, Bart C. Nabbe, Lei Tan, Hanbyul Joo, Takeo Kanade A, Shohei Nobuhara, Iain A. Matthews, Hao Liu, Sean K. Banerjee and Tomas Simon. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, International Workshop on Education Technology and Computer Science, Advances in intelligent systems research and IEEE International Conference on Computer Vision (ICCV).
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.