Chris Bregler
Impact in
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- Human Pose and Action Recognition
- Video Surveillance and Tracking Methods
- Face recognition and analysis
- Advanced Vision and Imaging
- Human-Computer Interaction top 2%
- Hand Gesture Recognition Systems
Papers in
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- Advanced Vision and Imaging 6
- Human Pose and Action Recognition 6
- Video Analysis and Summarization 6
- Face recognition and analysis 3
- Video Surveillance and Tracking Methods 2
- Multimodal Machine Learning Applications 2
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- Human Motion and Animation 7
- Co-authors
- Kevin Murphy (1 shared paper)Alexander Toshev (1 shared paper)Tyler Zhu (1 shared paper)Jonathan Tompson (1 shared paper)George Papandreou (1 shared paper)Yuting Ye (1 shared paper)Hao Li (1 shared paper)Jihun Yu (1 shared paper)
- Journals
- IEEE Signal Processing Magazine (2 papers)ACM Transactions on Graphics (2 papers)Proceedings of the AAAI Conference on Artificial Intelligence (1 paper)
- Partner nations
- United StatesNetherlandsGermany
In The Last Decade
Chris Bregler
14 papers receiving 902 citations
Chris Bregler's Hit Papers
Peers
Comparison fields: 5 of 85
- Computer Vision and Pattern Recognition 796
- Human-Computer Interaction 206
- Control and Systems Engineering 168
- Artificial Intelligence 207
- Computer Graphics and Computer-Aided Design 18
Countries citing papers authored by Chris Bregler
This map shows the geographic impact of Chris Bregler'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 Chris Bregler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chris Bregler more than expected).
Fields of papers citing papers by Chris Bregler
This network shows the impact of papers produced by Chris Bregler. 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 Chris Bregler. The network helps show where Chris Bregler may publish in the future.
Co-authors
The 25 scholars most cited alongside Chris Bregler, 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 | Towards Accurate Multi-person Pose Estimation in the Wild Hit paper breakdown → | 2017 | 527 |
| 2 | 2013 | 199 | |
| 3 | 2004 | 85 | |
| 4 | 2007 | 33 | |
| 5 | 2004 | 28 | |
| 6 | 2019 | 12 | |
| 7 | 2023 | 10 | |
| 8 | Motion Capture Technology for Entertainment | 2007 | 10 |
| 9 | 2011 | 9 | |
| 10 | 2015 | 6 | |
| 11 | 2010 | 4 | |
| 12 | Video Based Animation Techniques for Human Motion | 1999 | 2 |
| 13 | 2007 | 2 | |
| 14 | 2021 | 1 |
About Chris Bregler
Chris Bregler is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering, Artificial Intelligence, Sociology and Political Science and Computational Mechanics, having authored 14 papers that have together received 928 indexed citations. Recurring topics across this work include Human Motion and Animation (7 papers), Advanced Vision and Imaging (6 papers), Human Pose and Action Recognition (6 papers), Video Analysis and Summarization (6 papers), Face recognition and analysis (3 papers), Topic Modeling (2 papers), Video Surveillance and Tracking Methods (2 papers) and Multimodal Machine Learning Applications (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (796 citations), Human-Computer Interaction (206 citations), Control and Systems Engineering (168 citations), Artificial Intelligence (207 citations) and Computer Graphics and Computer-Aided Design (18 citations). Chris Bregler has collaborated with scholars based in United States, Netherlands and Germany. Frequent co-authors include Kevin Murphy, Alexander Toshev, Tyler Zhu, Jonathan Tompson, George Papandreou, Yuting Ye, Hao Li, Jihun Yu, Alyssa Lees and Matthew Stone. Their work appears in journals such as IEEE Signal Processing Magazine, ACM Transactions on Graphics 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.