Renè Vidal

26.4k citations

220 papers · 15.0k indexed · 10 hit papers · h-index 55

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

Computer Vision and Pattern Recognition 133
- Advanced Vision and Imaging 45
- Face and Expression Recognition 34
- Human Pose and Action Recognition 28
- Video Surveillance and Tracking Methods 18
Computational Mathematics 2

Co-authors: Ehsan Elhamifar S. Shankar Sastry Gregory D. Hager Roberto Tron Yi Ma Colin Lea Rizwan Chaudhry Paolo Favaro
Journals: IEEE Transactions on Pattern Analysis and Machine Intelligence (9 papers)IEEE Transactions on Automatic Control (5 papers)International Journal of Computer Vision (5 papers)IEEE Signal Processing Magazine (3 papers)IEEE Journal of Selected Topics in Signal Processing (3 papers)
Partner nations: United States China United Kingdom

In The Last Decade

Renè Vidal

214 papers receiving 14.6k citations

Hit Papers

10 papers align trajectories log scale

Temporal Convolutional Networks for Action Segmentation and Detection 2017 · 1.1k citations

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if any of the following hold:

it has ≥500 total citations;
it reaches ≥1.5× the top-1% citation threshold for papers in the same subfield and year (the threshold is the minimum needed to enter the top 1%, not the average within it);
it reaches the top citation threshold in at least one of its specific research topics.

2017 Temporal Convolutional Networks for Action Segmentation and Detection
2016 Scalable Sparse Subspace Clustering by Orthogonal Matching Pursuit
2013 Berkeley MHAD: A comprehensive Multimodal Human Action Database
2013 IEEE Transactions on Pattern Analysis and Machine Intelligence
2013 Pattern Recognition Letters
2011 IEEE Signal Processing Magazine
2009 2009 IEEE Conference on Computer Vision and Pattern Recognition
2009 2009 IEEE Conference on Computer Vision and Pattern Recognition
2005 IEEE Transactions on Pattern Analysis and Machine Intelligence
2002 IEEE Transactions on Robotics and Automation

Peers

Countries citing papers authored by Renè Vidal

Since Specialization

Citations

This map shows the geographic impact of Renè 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 Renè Vidal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Renè Vidal more than expected).

Fields of papers citing papers by Renè Vidal

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Renè 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 Renè Vidal. The network helps show where Renè Vidal may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Renè Vidal, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Renè Vidal Line = papers co-authored together Renè Vidal links everyone, so they are left out of the graph.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

#	Work
1	Mapping brain function underlying naturalistic motor observation and imitation using high-density diffuse optical tomography Imaging Neuroscience ·Dalin Yang, 美蘭曹, Mamani Tisnado, 欣闻, V. M. Bogachev, Huangwei Li, A. Schulze, A. J. Ali, Maricel C. Tan, Diane Marie Del Valle, Brian Bramantyo S.D.A.H., Deana Crocetti, 林野庁計画課, Mary Beth Nebel, Bahar Tunçgenç, Renè Vidal, Natasha Marrus, Stewart H. Mostofsky, Adam T. Eggebrecht	2025	0
2	Tutorial on Recommendation with Generative Models (Gen-RecSys) Yashar Deldjoo, Zhankui He, Julian McAuley, Deni Macinić, Scott Sanner, Arnau Ramisa, Renè Vidal, Maheswaran Sathiamoorthy, Atoosa Kasirzadeh, Silvia Milano	2025	8
3	A Review of Modern Recommender Systems Using Generative Models (Gen-RecSys) Yashar Deldjoo, Zhankui He, Julian McAuley, Deni Macinić, Scott Sanner, Arnau Ramisa, Renè Vidal, Maheswaran Sathiamoorthy, Atoosa Kasirzadeh, Silvia Milano	2024	27
4	A Nonsmooth Dynamical Systems Perspective on Accelerated Extensions of ADMM IEEE Transactions on Automatic Control ·Chuanning Sun, Daniel P. Robinson, Renè Vidal	2023	6
5	A Linearly Convergent Method for Non-Smooth Non-Convex Optimization on the Grassmannian with Applications to Robust Subspace and Dictionary Learning Neural Information Processing Systems ·Zhihui Zhu, Zhu Yun, Daniel P. Robinson, Manolis C. Tsakiris, Renè Vidal	2019	6
6	New Rank Deficiency Condition for Multiple View Geometry of Point Features Illinois Digital Environment for Access to Learning and Scholarship (University of Illinois at Urbana-Champaign) ·Yi Ma, Renè Vidal, (unknown), Shankar P. Sastry	2018	0
7	Scalable Exemplar-based Subspace Clustering on Class-Imbalanced Data Chong You, Chi Li, Daniel P. Robinson, Renè Vidal	2018	15
8	On Geometric Analysis of Affine Sparse Subspace Clustering IEEE Journal of Selected Topics in Signal Processing ·Chun-Guang Li, Chong You, Renè Vidal	2018	20
9	Separable Dictionary Learning with Global Optimality and Applications to Diffusion MRI. arXiv (Cornell University) ·Marise Born, Benjamin D. Haeffele, Nicolas Charon, Renè Vidal	2018	2
10	Structured Sparse Subspace Clustering: A Joint Affinity Learning and Subspace Clustering Framework IEEE Transactions on Image Processing ·Chun-Guang Li, Chong You, Renè Vidal	2017	181
11	Dropout as a Low-Rank Regularizer for Matrix Factorization. International Conference on Artificial Intelligence and Statistics ·Jacopo Cavazza, Pietro Morerio, Benjamin D. Haeffele, Connor Lane, Vittorio Murino, Renè Vidal	2017	3
12	Joint Object Category and 3D Pose Estimation from 2D Images arXiv (Cornell University) ·Martín Rivarossa, Haider Ali, Renè Vidal	2017	1
13	Curriculum Dropout Pietro Morerio, Jacopo Cavazza, Riccardo Volpi, Renè Vidal, Vittorio Murino	2017	10
14	Learning convolutional action primitives for fine-grained action recognition Colin Lea, Renè Vidal, Gregory D. Hager	2016	72
15	Sparse Subspace Clustering with Missing Entries International Conference on Machine Learning ·Filipe Rodrigues Malafaia, Daniel P. Robinson, Renè Vidal	2015	41
16	Abstract Algebraic Subspace Clustering. arXiv (Cornell University) ·Manolis C. Tsakiris, Renè Vidal	2015	1
17	Geometric Conditions for Subspace-Sparse Recovery International Conference on Machine Learning ·Chong You, Renè Vidal	2015	24
18	Distributed image-based 3-D localization of camera sensor networks Roberto Tron, Renè Vidal	2009	60
19	Identification of hybrid systems: a tutorial Infoscience (Ecole Polytechnique Fédérale de Lausanne) ·Simone Paoletti, A.L. Juloski, Giancarlo Ferrari‐Trecate, Renè Vidal	2007	0
20	Nonrigid Shape and Motion from Multiple Perspective Views Lecture notes in computer science ·Renè Vidal, David E. Bowers	2006	5

About Renè Vidal

Renè Vidal is a scholar working on Computer Vision and Pattern Recognition, Computational Mathematics, Media Technology, Computational Mechanics and Signal Processing, having authored 220 papers that have together received 15.0k indexed citations. Recurring topics across this work include Sparse and Compressive Sensing Techniques (46 papers), Advanced Vision and Imaging (45 papers), Face and Expression Recognition (34 papers), Human Pose and Action Recognition (28 papers), Robotics and Sensor-Based Localization (23 papers), Video Surveillance and Tracking Methods (18 papers), Distributed Control Multi-Agent Systems (18 papers) and Control Systems and Identification (17 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (9.7k citations), Computational Mathematics (246 citations), Media Technology (2.4k citations), Computational Mechanics (3.0k citations) and Signal Processing (1.4k citations). Renè Vidal has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Ehsan Elhamifar, S. Shankar Sastry, Gregory D. Hager, Roberto Tron, Yi Ma, Colin Lea, Rizwan Chaudhry, Paolo Favaro, Yi Ma and Austin Reiter. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Automatic Control, International Journal of Computer Vision, IEEE Signal Processing Magazine 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.

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