René Vidal
Impact in
- Computer Vision and Pattern Recognition top 0.05%
- Face and Expression Recognition
- Video Surveillance and Tracking Methods
- Human Pose and Action Recognition
- Advanced Vision and Imaging
- Advanced Image and Video Retrieval Techniques
- Computational Mathematics top 0.5%
Papers in
-
- Advanced Vision and Imaging 63
- Face and Expression Recognition 35
- Human Pose and Action Recognition 30
- Advanced Image and Video Retrieval Techniques 23
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- Sparse and Compressive Sensing Techniques 53
- Co-authors
- Ehsan Elhamifar (13 shared papers)S. Shankar Sastry (28 shared papers)Gregory D. Hager (13 shared papers)Colin Lea (6 shared papers)Austin Reiter (3 shared papers)Yi Ma (20 shared papers)Roberto Tron (18 shared papers)Yi Ma (5 shared papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine Intelligence (9 papers)International Journal of Computer Vision (5 papers)IEEE Transactions on Automatic Control (5 papers)Lecture notes in computer science (44 papers)IEEE Journal of Selected Topics in Signal Processing (3 papers)
- Partner nations
- United StatesChinaAustralia
In The Last Decade
René Vidal
264 papers receiving 18.1k citations
René Vidal's Hit Papers
Peers
Comparison fields: 5 of 190
- Computer Vision and Pattern Recognition 11.5k
- Computational Mathematics 267
- Media Technology 2.6k
- Computational Mechanics 3.3k
- Signal Processing 1.8k
Countries citing papers authored by René Vidal
This map shows the geographic impact of René Vidal'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 René Vidal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites René Vidal more than expected).
Fields of papers citing papers by René Vidal
This network shows the impact of papers produced by René Vidal. 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 René Vidal. The network helps show where René Vidal may publish in the future.
Co-authors
The 25 scholars most cited alongside René Vidal, 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 270 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Sparse Subspace Clustering: Algorithm, Theory, and Applications Hit paper breakdown → | 2013 | 2287 |
| 2 | Temporal Convolutional Networks for Action Segmentation and Detection Hit paper breakdown → | 2017 | 1303 |
| 3 | Sparse subspace clustering Hit paper breakdown → | 2009 | 981 |
| 4 | Generalized principal component analysis (GPCA) Hit paper breakdown → | 2005 | 770 |
| 5 | Temporal Convolutional Networks: A Unified Approach to Action Segmentation Hit paper breakdown → | 2016 | 577 |
| 6 | Histograms of oriented optical flow and Binet-Cauchy kernels on nonlinear dynamical systems for the recognition of human actions Hit paper breakdown → | 2009 | 478 |
| 7 | Subspace Clustering Hit paper breakdown → | 2011 | 470 |
| 8 | Probabilistic pursuit-evasion games: theory, implementation, and experimental evaluation Hit paper breakdown → | 2002 | 414 |
| 9 | Berkeley MHAD: A comprehensive Multimodal Human Action Database Hit paper breakdown → | 2013 | 372 |
| 10 | Low rank subspace clustering (LRSC) Hit paper breakdown → | 2013 | 361 |
| 11 | See all by looking at a few: Sparse modeling for finding representative objects Hit paper breakdown → | 2012 | 298 |
| 12 | 2007 | 283 | |
| 13 | 2009 | 270 | |
| 14 | Scalable Sparse Subspace Clustering by Orthogonal Matching Pursuit Hit paper breakdown → | 2016 | 258 |
| 15 | 2013 | 240 | |
| 16 | 2011 | 238 | |
| 17 | 2016 | 233 | |
| 18 | 2004 | 218 | |
| 19 | 2017 | 203 | |
| 20 | 2003 | 197 |
About René Vidal
René Vidal is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics, Artificial Intelligence, Control and Systems Engineering and Aerospace Engineering, having authored 270 papers that have together received 18.6k indexed citations. Recurring topics across this work include Advanced Vision and Imaging (63 papers), Sparse and Compressive Sensing Techniques (53 papers), Face and Expression Recognition (35 papers), Robotics and Sensor-Based Localization (32 papers), Human Pose and Action Recognition (30 papers), Control Systems and Identification (23 papers), Advanced Image and Video Retrieval Techniques (23 papers) and Advanced Neuroimaging Techniques and Applications (20 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (11.5k citations), Computational Mathematics (267 citations), Media Technology (2.6k citations), Computational Mechanics (3.3k citations) and Signal Processing (1.8k citations). René Vidal has collaborated with scholars based in United States, China and Australia. Frequent co-authors include Ehsan Elhamifar, S. Shankar Sastry, Gregory D. Hager, Colin Lea, Austin Reiter, Yi Ma, Roberto Tron, Yi Ma, Rizwan Chaudhry and Paolo Favaro. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, International Journal of Computer Vision, IEEE Transactions on Automatic Control, Lecture notes in computer science and IEEE Journal of Selected Topics in Signal Processing.
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.