2026 René Vidal: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	84	840	810	456	437	341	33747

Research.com Recognitions

2020 - Fellow of the Indian National Academy of Engineering (INAE)
2016 - Fellow of the International Association for Pattern Recognition (IAPR) For contributions to computer vision and pattern recognition
2014 - IEEE Fellow For contributions to subspace clustering and motion segmentation in computer vision
2012 - IAPR J. K. Aggarwal Prize "For outstanding contributions to generalized principal component analysis (GPCA) and subspace clustering in computer vision and pattern recognition."
2009 - Fellow of Alfred P. Sloan Foundation

Overview

René Vidal is affiliated with the University of Pennsylvania in the United States. Their research focuses primarily within the field of Computer Science, with a significant number of publications spanning specific subfields such as Artificial Intelligence, Computer Vision and Pattern Recognition, Computational Mechanics, Aerospace Engineering, and Cognitive Neuroscience.

Their work addresses a variety of topics, including Sparse and Compressive Sensing Techniques, Robotics and Sensor-Based Localization, Human Pose and Action Recognition, Multimodal Machine Learning Applications, Domain Adaptation and Few-Shot Learning, Autism Spectrum Disorder Research, and Adversarial Robustness in Machine Learning.

René Vidal has published extensively, including recent papers such as:

Nonconvex Robust Low-Rank Matrix Recovery (2020) in SIAM Journal on Optimization
GEARing smart environments for pediatric motor rehabilitation (2020) in Journal of NeuroEngineering and Rehabilitation
Computerized Assessment of Motor Imitation as a Scalable Method for Distinguishing Children With Autism (2020) in Biological Psychiatry Cognitive Neuroscience and Neuroimaging
A Nonsmooth Dynamical Systems Perspective on Accelerated Extensions of ADMM (2023) in IEEE Transactions on Automatic Control
Automated and scalable Computerized Assessment of Motor Imitation (CAMI) in children with Autism Spectrum Disorder using a single 2D camera: A pilot study (2021) in Research in Autism Spectrum Disorders

Their collaboration network includes frequent coauthors such as Benjamin D. Haeffele, Carolina Pacheco, Liangzu Peng, Bahar Tunçgenç, and Stewart H. Mostofsky.

René Vidal's work appears in a variety of publication venues, with multiple contributions to arXiv (Cornell University), the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), IEEE Transactions on Pattern Analysis and Machine Intelligence, and IEEE Transactions on Biomedical Engineering, along with publications in SIAM Journal on Optimization.

In addition to research articles, they have contributed to academic book publishing. Notably, they authored a book titled Mathematical Aspects of Deep Learning, published by Cambridge University Press in 2022.

René Vidal's professional recognitions include a series of fellowships and awards: Fellow of the Indian National Academy of Engineering (2020), Fellow of the International Association for Pattern Recognition (2016) for contributions to computer vision and pattern recognition, IEEE Fellow (2014) for contributions to subspace clustering and motion segmentation in computer vision, the IAPR J. K. Aggarwal Prize (2012) for work on generalized principal component analysis and subspace clustering, and Fellowship from the Alfred P. Sloan Foundation (2009).

Best Publications

Sparse Subspace Clustering: Algorithm, Theory, and Applications

E. Elhamifar;R. Vidal

4300
Citations
Temporal Convolutional Networks for Action Segmentation and Detection

Colin Lea;Michael D. Flynn;Rene Vidal;Austin Reiter

1870
Citations
Sparse subspace clustering

Ehsan Elhamifar;Rene Vidal

1541
Citations
Generalized principal component analysis (GPCA)

R. Vidal;Yi Ma;S. Sastry

1495
Citations
Subspace Clustering

René Vidal

1141
Citations
Temporal Convolutional Networks: A Unified Approach to Action Segmentation

Colin Lea;René Vidal;Austin Reiter;Gregory D. Hager

867
Citations
Histograms of oriented optical flow and Binet-Cauchy kernels on nonlinear dynamical systems for the recognition of human actions

Rizwan Chaudhry;Avinash Ravichandran;Gregory Hager;Rene Vidal

862
Citations
A Benchmark for the Comparison of 3-D Motion Segmentation Algorithms

R. Tron;R. Vidal

845
Citations
Probabilistic pursuit-evasion games: theory, implementation, and experimental evaluation

R. Vidal;O. Shakernia;H.J. Kim;D.H. Shim

722
Citations
Berkeley MHAD: A comprehensive Multimodal Human Action Database

F. Ofli;R. Chaudhry;G. Kurillo;R. Vidal

572
Citations
Low rank subspace clustering (LRSC)

René Vidal;Paolo Favaro

514
Citations
Identification of hybrid systems - A tutorial

Simone Paoletti;Aleksandar Lj. Juloski;Giancarlo Ferrari-Trecate;René Vidal

493
Citations
See all by looking at a few: Sparse modeling for finding representative objects

Ehsan Elhamifar;Guillermo Sapiro;Rene Vidal

461
Citations
Sequence of the Most Informative Joints (SMIJ): A new representation for human skeletal action recognition

Ferda Ofli;Rizwan Chaudhry;Gregorij Kurillo;Rene Vidal

427
Citations
Scalable Sparse Subspace Clustering by Orthogonal Matching Pursuit

Chong You;Daniel P. Robinson;Rene Vidal

422
Citations
Sequence of the most informative joints (SMIJ)

Ferda Ofli;Rizwan Chaudhry;Gregorij Kurillo;René Vidal

417
Citations
An algebraic geometric approach to the identification of a class of linear hybrid systems

R. Vidal;S. Soatto;Yi Ma;S. Sastry

417
Citations
Motion Segmentation in the Presence of Outlying, Incomplete, or Corrupted Trajectories

S Rao;R Tron;R Vidal;Yi Ma

413
Citations
A closed form solution to robust subspace estimation and clustering

Paolo Favaro;Rene Vidal;Avinash Ravichandran

358
Citations
Sparse Manifold Clustering and Embedding

Ehsan Elhamifar;René Vidal

335
Citations
Motion segmentation with missing data using PowerFactorization and GPCA

R. Vidal;R. Hartley

304
Citations

Frequent Co-Authors

Shankar Sastry University of California, Berkeley

Yi Ma University of Hong Kong

Gregory D. Hager Johns Hopkins University

Stefano Soatto University of California, Los Angeles

Andreas Terzis Google (United States)

Vittorio Murino University of Verona

Richard Hartley Australian National University

Paul M. Thompson University of Southern California

Paolo Favaro University of Bern

Domingo Mery Pontificia Universidad Católica de Chile

External Links

Wikipedia of René Vidal Personal website of René Vidal Google Scholar page

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