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papers

Publications (23)

cs.LG2017

Dropout as a Low-Rank Regularizer for Matrix Factorization

Jacopo Cavazza, Pietro Morerio, Benjamin Haeffele +3

cs.CV2012

Generalized Principal Component Analysis (GPCA)

Rene Vidal, Yi Ma, Shankar Sastry

cs.CV2017

Algebraic Clustering of Affine Subspaces

Manolis C. Tsakiris, Rene Vidal

cs.CV2016

Temporal Convolutional Networks: A Unified Approach to Action Segmentation

Colin Lea, Rene Vidal, Austin Reiter +1

cs.CV2018

Convolutional Networks for Object Category and 3D Pose Estimation from 2D Images

Siddharth Mahendran, Haider Ali, Rene Vidal

cs.CV2016

Segmental Spatiotemporal CNNs for Fine-grained Action Segmentation

Colin Lea, Austin Reiter, Rene Vidal +1

cs.CV2018

Stretching Domain Adaptation: How far is too far?

Yunhan Zhao, Haider Ali, Rene Vidal

cs.CV2017

Information Pursuit: A Bayesian Framework for Sequential Scene Parsing

Ehsan Jahangiri, Erdem Yoruk, Rene Vidal +2

cs.CV2016

Scalable Sparse Subspace Clustering by Orthogonal Matching Pursuit

Chong You, Daniel P. Robinson, Rene Vidal

cs.IT2019

Nonconvex Robust Low-rank Matrix Recovery

Xiao Li, Zhihui Zhu, Anthony Man-Cho So +1

cs.LG2018

Dual Principal Component Pursuit: Probability Analysis and Efficient Algorithms

Zhihui Zhu, Yifan Wang, Daniel P. Robinson +3

cs.LG2016

Oracle Based Active Set Algorithm for Scalable Elastic Net Subspace Clustering

Chong You, Chun-Guang Li, Daniel P. Robinson +1

math.OC2012

Block-Sparse Recovery via Convex Optimization

Ehsan Elhamifar, Rene Vidal

cs.LG2017

Mathematics of Deep Learning

Rene Vidal, Joan Bruna, Raja Giryes +1

cs.LG2018

On the Implicit Bias of Dropout

Poorya Mianjy, Raman Arora, Rene Vidal

cs.CV2016

Temporal Convolutional Networks for Action Segmentation and Detection

Colin Lea, Michael D. Flynn, Rene Vidal +2

cs.CV2015

Filtrated Spectral Algebraic Subspace Clustering

Manolis C. Tsakiris, Rene Vidal

cs.NE2017

Curriculum Dropout

Pietro Morerio, Jacopo Cavazza, Riccardo Volpi +2

cs.CV2017

Hyperplane Clustering Via Dual Principal Component Pursuit

Manolis C. Tsakiris, Rene Vidal

cs.CV2017

3D Pose Regression using Convolutional Neural Networks

Siddharth Mahendran, Haider Ali, Rene Vidal

cs.LG2018

Theoretical Analysis of Sparse Subspace Clustering with Missing Entries

Manolis C. Tsakiris, Rene Vidal

cs.CV2013

Sparse Subspace Clustering: Algorithm, Theory, and Applications

Ehsan Elhamifar, Rene Vidal

cs.CV2018

A Mixed Classification-Regression Framework for 3D Pose Estimation from 2D Images

Siddharth Mahendran, Haider Ali, Rene Vidal