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Doubly Stochastic Subspace Clustering

Nov 30, 2020
Derek Lim, René Vidal, Benjamin D. Haeffele


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A Critique of Self-Expressive Deep Subspace Clustering

Oct 08, 2020
Benjamin D. Haeffele, Chong You, René Vidal


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A Game Theoretic Analysis of Additive Adversarial Attacks and Defenses

Sep 14, 2020
Ambar Pal, René Vidal


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On Dissipative Symplectic Integration with Applications to Gradient-Based Optimization

Apr 15, 2020
Guilherme França, Michael I. Jordan, René Vidal


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Finding the Sparsest Vectors in a Subspace: Theory, Algorithms, and Applications

Jan 20, 2020
Qing Qu, Zhihui Zhu, Xiao Li, Manolis C. Tsakiris, John Wright, René Vidal

* QQ and ZZ contributed equally to the work. Invited review paper for IEEE Signal Processing Magazine Special Issue on non-convex optimization for signal processing and machine learning. This article contains 26 pages with 11 figures 

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On the Regularization Properties of Structured Dropout

Oct 30, 2019
Ambar Pal, Connor Lane, René Vidal, Benjamin D. Haeffele


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The fastest $\ell_{1,\infty}$ prox in the west

Oct 09, 2019
Benjamín Béjar, Ivan Dokmanić, René Vidal

* 9 pages, 2 figures, journal 

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Gradient Flows and Accelerated Proximal Splitting Methods

Aug 08, 2019
Guilherme França, Daniel P. Robinson, René Vidal

* v2: some corrections (results unchanged) 

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Neural Message Passing on Hybrid Spatio-Temporal Visual and Symbolic Graphs for Video Understanding

May 17, 2019
Effrosyni Mavroudi, Benjamín Béjar Haro, René Vidal


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Conformal Symplectic and Relativistic Optimization

Mar 11, 2019
Guilherme França, Jeremias Sulam, Daniel P. Robinson, René Vidal


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On Geometric Analysis of Affine Sparse Subspace Clustering

Sep 06, 2018
Chun-Guang Li, Chong You, René Vidal

* 15 pages, 6 figures, 2 tables. To appear on IEEE Journal of Selected Topics in Signal Processing 

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Relax, and Accelerate: A Continuous Perspective on ADMM

Aug 13, 2018
Guilherme França, Daniel P. Robinson, René Vidal


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Monocular Object Orientation Estimation using Riemannian Regression and Classification Networks

Jul 19, 2018
Siddharth Mahendran, Ming Yang Lu, Haider Ali, René Vidal


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Separable Dictionary Learning with Global Optimality and Applications to Diffusion MRI

Jul 15, 2018
Evan Schwab, Benjamin Haeffele, Nicolas Charon, René Vidal


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Joint Spatial-Angular Sparse Coding for dMRI with Separable Dictionaries

May 29, 2018
Evan Schwab, René Vidal, Nicolas Charon

* Evan Schwab, Rene Vidal, Nicolas Charon, Joint spatial-angular sparse coding for dMRI with separable dictionaries, Medical Image Analysis, Volume 48, August 2018, Pages 25-42, ISSN 1361-8415 

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End-to-End Fine-Grained Action Segmentation and Recognition Using Conditional Random Field Models and Discriminative Sparse Coding

Jan 29, 2018
Effrosyni Mavroudi, Divya Bhaskara, Shahin Sefati, Haider Ali, René Vidal

* Camera ready version accepted at WACV 2018 

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An Analysis of Dropout for Matrix Factorization

Oct 10, 2017
Jacopo Cavazza, Connor Lane, Benjamin D. Haeffele, Vittorio Murino, René Vidal


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(k,q)-Compressed Sensing for dMRI with Joint Spatial-Angular Sparsity Prior

Aug 02, 2017
Evan Schwab, René Vidal, Nicolas Charon

* To be published in the 2017 Computational Diffusion MRI Workshop of MICCAI 

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Provable Self-Representation Based Outlier Detection in a Union of Subspaces

Apr 12, 2017
Chong You, Daniel P. Robinson, René Vidal

* 16 pages. CVPR 2017 spotlight oral presentation 

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Structured Sparse Subspace Clustering: A Joint Affinity Learning and Subspace Clustering Framework

Apr 05, 2017
Chun-Guang Li, Chong You, René Vidal

* 14 pages, 6 figures 

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Car Segmentation and Pose Estimation using 3D Object Models

Jun 17, 2016
Siddharth Mahendran, René Vidal


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On The Convergence of Gradient Descent for Finding the Riemannian Center of Mass

Dec 30, 2011
Bijan Afsari, Roberto Tron, René Vidal


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Hypothesize and Bound: A Computational Focus of Attention Mechanism for Simultaneous 3D Shape Reconstruction, Pose Estimation and Classification from a Single 2D Image

Sep 26, 2011
Diego Rother, Siddharth Mahendran, René Vidal


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Hypothesize and Bound: A Computational Focus of Attention Mechanism for Simultaneous N-D Segmentation, Pose Estimation and Classification Using Shape Priors

Aug 15, 2011
Diego Rother, Simon Schütz, René Vidal


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