René Vidal

Orcid: 0000-0003-1838-0761

Affiliations:
  • The Johns Hopkins University, Department of Biomedical Engineering


According to our database1, René Vidal authored at least 327 papers between 2000 and 2024.

Collaborative distances:

Awards

ACM Fellow

ACM Fellow 2022, "For contributions to subspace clustering and motion segmentation in computer vision".

IEEE Fellow

IEEE Fellow 2014, "For contributions to subspace clustering and motion segmentation in computer vision".

Timeline

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Bibliography

2024
Guarantees of a Preconditioned Subgradient Algorithm for Overparameterized Asymmetric Low-rank Matrix Recovery.
CoRR, 2024

ICL-TSVD: Bridging Theory and Practice in Continual Learning with Pre-trained Models.
CoRR, 2024

Recommendation with Generative Models.
CoRR, 2024

Multi-modal Generative Models in Recommendation System.
CoRR, 2024

Large Language Model Driven Recommendation.
CoRR, 2024

PaCE: Parsimonious Concept Engineering for Large Language Models.
CoRR, 2024

Certified Robustness against Sparse Adversarial Perturbations via Data Localization.
CoRR, 2024

Invertibility of Discrete-Time Linear Systems with Sparse Inputs.
CoRR, 2024

Semantic-aware Video Representation for Few-shot Action Recognition.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Vertex Proportion Loss for Multi-class Cell Detection from Label Proportions.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

A Review of Modern Recommender Systems Using Generative Models (Gen-RecSys).
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Can Implicit Bias Imply Adversarial Robustness?
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Performance Bounds for Active Binary Testing with Information Maximization.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Early Neuron Alignment in Two-layer ReLU Networks with Small Initialization.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Image Clustering via the Principle of Rate Reduction in the Age of Pretrained Models.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Bootstrapping Variational Information Pursuit with Large Language and Vision Models for Interpretable Image Classification.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Scalable 3D Registration via Truncated Entry-Wise Absolute Residuals.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

iHealth-Chile-3&2 at RRG24: Template Based Report Generation.
Proceedings of the 23rd Workshop on Biomedical Natural Language Processing, 2024

Stochastic Extragradient with Random Reshuffling: Improved Convergence for Variational Inequalities.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

Extracting and Encoding: Leveraging Large Language Models and Medical Knowledge to Enhance Radiological Text Representation.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023
Interpretable by Design: Learning Predictors by Composing Interpretable Queries.
IEEE Trans. Pattern Anal. Mach. Intell., June, 2023

A Nonsmooth Dynamical Systems Perspective on Accelerated Extensions of ADMM.
IEEE Trans. Autom. Control., May, 2023

Lens Free Holographic Imaging for Urinary Tract Infection Screening.
IEEE Trans. Biomed. Eng., March, 2023

Learning Interpretable Queries for Explainable Image Classification with Information Pursuit.
CoRR, 2023

Knowledge Pursuit Prompting for Zero-Shot Multimodal Synthesis.
CoRR, 2023

Variational Information Pursuit with Large Language and Multimodal Models for Interpretable Predictions.
CoRR, 2023

A Linearly Convergent GAN Inversion-based Algorithm for Reverse Engineering of Deceptions.
CoRR, 2023

Necessary and Sufficient Conditions for Simultaneous State and Input Recovery of Linear Systems with Sparse Inputs by 𝓁<sub>1</sub>-Minimization.
CoRR, 2023

Learning Graph Variational Autoencoders with Constraints and Structured Priors for Conditional Indoor 3D Scene Generation.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Adversarial Examples Might be Avoidable: The Role of Data Concentration in Adversarial Robustness.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Information Maximization Perspective of Orthogonal Matching Pursuit with Applications to Explainable AI.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

The Ideal Continual Learner: An Agent That Never Forgets.
Proceedings of the International Conference on Machine Learning, 2023

On the Convergence of Gradient Flow on Multi-layer Linear Models.
Proceedings of the International Conference on Machine Learning, 2023

Learning Globally Smooth Functions on Manifolds.
Proceedings of the International Conference on Machine Learning, 2023

Variational Information Pursuit for Interpretable Predictions.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Clustering-based Domain-Incremental Learning.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

ProVLA: Compositional Image Search with Progressive Vision-Language Alignment and Multimodal Fusion.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

On the Convergence of IRLS and Its Variants in Outlier-Robust Estimation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Necessary and Sufficient Conditions for Simultaneous State and Input Recovery of Linear Systems with Sparse Inputs by ℓ1 -Minimization.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

Efficient Vision Transformer for Human Pose Estimation via Patch Selection.
Proceedings of the 34th British Machine Vision Conference 2023, 2023

Linear Convergence of Gradient Descent For Finite Width Over-parametrized Linear Networks With General Initialization.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022
Self-Representation Based Unsupervised Exemplar Selection in a Union of Subspaces.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

The Fastest $\ell _{1, \infty }$ℓ1, ∞ Prox in the West.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

The vision of self-evolving computing systems.
J. Integr. Des. Process. Sci., 2022

On Utilizing Relationships for Transferable Few-Shot Fine-Grained Object Detection.
CoRR, 2022

Towards Understanding The Semidefinite Relaxations of Truncated Least-Squares in Robust Rotation Search.
CoRR, 2022

Structured Graph Variational Autoencoders for Indoor Furniture layout Generation.
CoRR, 2022

Prospective Learning: Back to the Future.
CoRR, 2022

Actor-Centric Tubelets for Real-Time Activity Detection in Extended Videos.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision Workshops, 2022

Global Linear and Local Superlinear Convergence of IRLS for Non-Smooth Robust Regression.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Semantic Information Pursuit.
Proceedings of the 2nd International Conference on Image Processing and Vision Engineering, 2022

Facial Tic Detection in Untrimmed Videos of Tourette Syndrome Patients.
Proceedings of the 26th International Conference on Pattern Recognition, 2022

Reverse Engineering ℓ<sub>p</sub> attacks: A block-sparse optimization approach with recovery guarantees.
Proceedings of the International Conference on Machine Learning, 2022

Understanding Doubly Stochastic Clustering.
Proceedings of the International Conference on Machine Learning, 2022

Implicit Bias of Projected Subgradient Method Gives Provable Robust Recovery of Subspaces of Unknown Codimension.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Semidefinite Relaxations of Truncated Least-Squares in Robust Rotation Search: Tight or Not.
Proceedings of the Computer Vision - ECCV 2022, 2022

ARCS: Accurate Rotation and Correspondence Search.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Weakly-Supervised Generation and Grounding of Visual Descriptions with Conditional Generative Models.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Analysis and Extensions of Adversarial Training for Video Classification.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

2021
What is the Largest Sparsity Pattern That Can Be Recovered by 1-Norm Minimization?
IEEE Trans. Inf. Theory, 2021

Boosting RANSAC via Dual Principal Component Pursuit.
CoRR, 2021

Lifelong Computing.
CoRR, 2021

Understanding the Dynamics of Gradient Flow in Overparameterized Linear models.
Proceedings of the 38th International Conference on Machine Learning, 2021

On the Explicit Role of Initialization on the Convergence and Implicit Bias of Overparametrized Linear Networks.
Proceedings of the 38th International Conference on Machine Learning, 2021

A Nullspace Property for Subspace-Preserving Recovery.
Proceedings of the 38th International Conference on Machine Learning, 2021

Dual Principal Component Pursuit for Robust Subspace Learning: Theory and Algorithms for a Holistic Approach.
Proceedings of the 38th International Conference on Machine Learning, 2021

A Critique of Self-Expressive Deep Subspace Clustering.
Proceedings of the 9th International Conference on Learning Representations, 2021

Learning a Self-Expressive Network for Subspace Clustering.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Dual Principal Component Pursuit for Learning a Union of Hyperplanes: Theory and Algorithms.
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020
Nonconvex Robust Low-Rank Matrix Recovery.
SIAM J. Optim., 2020

Structured Low-Rank Matrix Factorization: Global Optimality, Algorithms, and Applications.
IEEE Trans. Pattern Anal. Mach. Intell., 2020

Special Issue on the Mathematical Foundations of Deep Learning in Imaging Science.
J. Math. Imaging Vis., 2020

CompactNets: Compact Hierarchical Compositional Networks for Visual Recognition.
Comput. Vis. Image Underst., 2020

Doubly Stochastic Subspace Clustering.
CoRR, 2020

Finding the Sparsest Vectors in a Subspace: Theory, Algorithms, and Applications.
CoRR, 2020

A Game Theoretic Analysis of Additive Adversarial Attacks and Defenses.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

A novel variational form of the Schatten-$p$ quasi-norm.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Conformal Symplectic and Relativistic Optimization.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

A Detection-based Approach to Multiview Action Classification in Infants.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

Representation Learning on Visual-Symbolic Graphs for Video Understanding.
Proceedings of the Computer Vision - ECCV 2020, 2020

On the Regularization Properties of Structured Dropout.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Robust Homography Estimation via Dual Principal Component Pursuit.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
Global Optimality in Separable Dictionary Learning with Applications to the Analysis of Diffusion MRI.
SIAM J. Imaging Sci., 2019

Basis Pursuit and Orthogonal Matching Pursuit for Subspace-preserving Recovery: Theoretical Analysis.
CoRR, 2019

Generalized Nullspace Property for Structurally Sparse Signals.
CoRR, 2019

The fastest 𝓁<sub>1, ∞</sub> prox in the west.
CoRR, 2019

Gradient Flows and Accelerated Proximal Splitting Methods.
CoRR, 2019

Neural Message Passing on Hybrid Spatio-Temporal Visual and Symbolic Graphs for Video Understanding.
CoRR, 2019

A Linearly Convergent Method for Non-Smooth Non-Convex Optimization on the Grassmannian with Applications to Robust Subspace and Dictionary Learning.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Joint Holographic Detection and Reconstruction.
Proceedings of the Machine Learning in Medical Imaging - 10th International Workshop, 2019

An Unsupervised Domain Adaptation Approach to Classification of Stem Cell-Derived Cardiomyocytes.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

An Optical Model of Whole Blood for Detecting Platelets in Lens-Free Images.
Proceedings of the Simulation and Synthesis in Medical Imaging, 2019

Noisy Dual Principal Component Pursuit.
Proceedings of the 36th International Conference on Machine Learning, 2019

Adaptive Online k-Subspaces with Cooperative Re-Initialization.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

Classifying and Comparing Approaches to Subspace Clustering with Missing Data.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

Is an Affine Constraint Needed for Affine Subspace Clustering?
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2018
Realization Theory for a Class of Stochastic Bilinear Systems.
IEEE Trans. Autom. Control., 2018

Algebraic Clustering of Affine Subspaces.
IEEE Trans. Pattern Anal. Mach. Intell., 2018

Joint spatial-angular sparse coding for dMRI with separable dictionaries.
Medical Image Anal., 2018

On Geometric Analysis of Affine Sparse Subspace Clustering.
IEEE J. Sel. Top. Signal Process., 2018

Introduction to the Issue on Robust Subspace Learning and Tracking: Theory, Algorithms, and Applications.
IEEE J. Sel. Top. Signal Process., 2018

Dual Principal Component Pursuit.
J. Mach. Learn. Res., 2018

Dual Principal Component Pursuit: Probability Analysis and Efficient Algorithms.
CoRR, 2018

Monocular Object Orientation Estimation using Riemannian Regression and Classification Networks.
CoRR, 2018

Separable Dictionary Learning with Global Optimality and Applications to Diffusion MRI.
CoRR, 2018

Sparse Recovery over Graph Incidence Matrices: Polynomial Time Guarantees and Location Dependent Performance.
CoRR, 2018

A nonconvex formulation for low rank subspace clustering: algorithms and convergence analysis.
Comput. Optim. Appl., 2018

End-to-End Fine-Grained Action Segmentation and Recognition Using Conditional Random Field Models and Discriminative Sparse Coding.
Proceedings of the 2018 IEEE Winter Conference on Applications of Computer Vision, 2018

Dual Principal Component Pursuit: Improved Analysis and Efficient Algorithms.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Recurrent Neural Networks for Classifying Human Embryonic Stem Cell-Derived Cardiomyocytes.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Theoretical Analysis of Sparse Subspace Clustering with Missing Entries.
Proceedings of the 35th International Conference on Machine Learning, 2018

On the Implicit Bias of Dropout.
Proceedings of the 35th International Conference on Machine Learning, 2018

ADMM and Accelerated ADMM as Continuous Dynamical Systems.
Proceedings of the 35th International Conference on Machine Learning, 2018

A Scalable Exemplar-Based Subspace Clustering Algorithm for Class-Imbalanced Data.
Proceedings of the Computer Vision - ECCV 2018, 2018

Convolutional Networks for Object Category and 3D Pose Estimation from 2D Images.
Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018

Multi-Cell Detection and Classification Using a Generative Convolutional Model.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Sparse Recovery over Graph Incidence Matrices.
Proceedings of the 57th IEEE Conference on Decision and Control, 2018

A Mixed Classification-Regression Framework for 3D Pose Estimation from 2D Images.
Proceedings of the British Machine Vision Conference 2018, 2018

Dropout as a Low-Rank Regularizer for Matrix Factorization.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

2017
Structured Sparse Subspace Clustering: A Joint Affinity Learning and Subspace Clustering Framework.
IEEE Trans. Image Process., 2017

A Dataset and Benchmarks for Segmentation and Recognition of Gestures in Robotic Surgery.
IEEE Trans. Biomed. Eng., 2017

Bundle Reduction and the Alignment Distance on Spaces of State-Space LTI Systems.
IEEE Trans. Autom. Control., 2017

Filtrated Algebraic Subspace Clustering.
SIAM J. Imaging Sci., 2017

Guest Editorial: Best Papers from ICCV 2015.
Int. J. Comput. Vis., 2017

Deep Learning for Computer Vision (Dagstuhl Seminar 17391).
Dagstuhl Reports, 2017

Mathematics of Deep Learning.
CoRR, 2017

Stretching Domain Adaptation: How far is too far?
CoRR, 2017

Joint Object Category and 3D Pose Estimation from 2D Images.
CoRR, 2017

An Analysis of Dropout for Matrix Factorization.
CoRR, 2017

($k, q$)-Compressed Sensing for dMRI with Joint Spatial-Angular Sparsity Prior.
CoRR, 2017

Information Pursuit: A Bayesian Framework for Sequential Scene Parsing.
CoRR, 2017

Deep Moving Poselets for Video Based Action Recognition.
Proceedings of the 2017 IEEE Winter Conference on Applications of Computer Vision, 2017

Efficient Reconstruction of Holographic Lens-Free Images by Sparse Phase Recovery.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

Blood cell detection and counting in holographic lens-free imaging by convolutional sparse dictionary learning and coding.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017

Removal of the twin image artifact in holographic lens-free imaging by sparse dictionary learning and coding.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017

Hyperplane Clustering via Dual Principal Component Pursuit.
Proceedings of the 34th International Conference on Machine Learning, 2017

High angular resolution light field reconstruction with coded-aperture mask.
Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

3D Pose Regression Using Convolutional Neural Networks.
Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 2017

Curriculum Dropout.
Proceedings of the IEEE International Conference on Computer Vision, 2017

Provable Self-Representation Based Outlier Detection in a Union of Subspaces.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Temporal Convolutional Networks for Action Segmentation and Detection.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Global Optimality in Neural Network Training.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016
A Structured Sparse Plus Structured Low-Rank Framework for Subspace Clustering and Completion.
IEEE Trans. Signal Process., 2016

Guest Editorial: Special Section on CVPR 2014.
IEEE Trans. Pattern Anal. Mach. Intell., 2016

Efficient Global Spatial-Angular Sparse Coding for Diffusion MRI with Separable Dictionaries.
CoRR, 2016

Efficient Segmental Inference for Spatiotemporal Modeling of Fine-grained Actions.
CoRR, 2016

Spatial-Angular Sparse Coding for HARDI.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

Learning convolutional action primitives for fine-grained action recognition.
Proceedings of the 2016 IEEE International Conference on Robotics and Automation, 2016

Temporal Convolutional Networks: A Unified Approach to Action Segmentation.
Proceedings of the Computer Vision - ECCV 2016 Workshops, 2016

Segmental Spatiotemporal CNNs for Fine-Grained Action Segmentation.
Proceedings of the Computer Vision - ECCV 2016, 2016

Scalable Sparse Subspace Clustering by Orthogonal Matching Pursuit.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Oracle Based Active Set Algorithm for Scalable Elastic Net Subspace Clustering.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

A divide-and-conquer framework for large-scale subspace clustering.
Proceedings of the 50th Asilomar Conference on Signals, Systems and Computers, 2016

Generalized Principal Component Analysis.
Interdisciplinary applied mathematics 40, Springer, ISBN: 978-0-387-87810-2, 2016

2015
Learning Shared, Discriminative, and Compact Representations for Visual Recognition.
IEEE Trans. Pattern Anal. Mach. Intell., 2015

Latent Space Sparse and Low-Rank Subspace Clustering.
IEEE J. Sel. Top. Signal Process., 2015

Subspace-Sparse Representation.
CoRR, 2015

Sparse Subspace Clustering by Orthogonal Matching Pursuit.
CoRR, 2015

Abstract Algebraic Subspace Clustering.
CoRR, 2015

Car Segmentation and Pose Estimation using 3D Object Models.
CoRR, 2015

Global Optimality in Tensor Factorization, Deep Learning, and Beyond.
CoRR, 2015

An Improved Model for Segmentation and Recognition of Fine-Grained Activities with Application to Surgical Training Tasks.
Proceedings of the 2015 IEEE Winter Conference on Applications of Computer Vision, 2015

Geometric Conditions for Subspace-Sparse Recovery.
Proceedings of the 32nd International Conference on Machine Learning, 2015

Sparse Subspace Clustering with Missing Entries.
Proceedings of the 32nd International Conference on Machine Learning, 2015

Filtrated Spectral Algebraic Subspace Clustering.
Proceedings of the 2015 IEEE International Conference on Computer Vision Workshop, 2015

Moving Poselets: A Discriminative and Interpretable Skeletal Motion Representation for Action Recognition.
Proceedings of the 2015 IEEE International Conference on Computer Vision Workshop, 2015

Structured Sparse Subspace Clustering: A unified optimization framework.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

Linear systems with sparse inputs: Observability and input recovery.
Proceedings of the American Control Conference, 2015

Model order reduction for discrete-time LTI systems using the alignment distance.
Proceedings of the American Control Conference, 2015

2014
Segmentation of High Angular Resolution Diffusion MRI Using Sparse Riemannian Manifold Clustering.
IEEE Trans. Medical Imaging, 2014

Automated Grouping of Action Potentials of Human Embryonic Stem Cell-Derived Cardiomyocytes.
IEEE Trans. Biomed. Eng., 2014

Distributed 3-D Localization of Camera Sensor Networks From 2-D Image Measurements.
IEEE Trans. Autom. Control., 2014

Low rank subspace clustering (LRSC).
Pattern Recognit. Lett., 2014

Sequence of the most informative joints (SMIJ): A new representation for human skeletal action recognition.
J. Vis. Commun. Image Represent., 2014

Nonnegative ODF estimation via optimal constraint selection.
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014

Structured Low-Rank Matrix Factorization: Optimality, Algorithm, and Applications to Image Processing.
Proceedings of the 31th International Conference on Machine Learning, 2014

Kernel sparse subspace clustering.
Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

Sparse Dictionaries for Semantic Segmentation.
Proceedings of the Computer Vision - ECCV 2014, 2014

How does Quality of Formalized Software Processes Affect Adoption?
Proceedings of the Advanced Information Systems Engineering, 2014

Abstract algebraic-geometric subspace clustering.
Proceedings of the 48th Asilomar Conference on Signals, Systems and Computers, 2014

2013
Riemannian Consensus for Manifolds With Bounded Curvature.
IEEE Trans. Autom. Control., 2013

Are Software Analytics Efforts Worthwhile for Small Companies? The Case of Amisoft.
IEEE Softw., 2013

On the Convergence of Gradient Descent for Finding the Riemannian Center of Mass.
SIAM J. Control. Optim., 2013

Categorizing Dynamic Textures Using a Bag of Dynamical Systems.
IEEE Trans. Pattern Anal. Mach. Intell., 2013

Sparse Subspace Clustering: Algorithm, Theory, and Applications.
IEEE Trans. Pattern Anal. Mach. Intell., 2013

Surgical gesture classification from video and kinematic data.
Medical Image Anal., 2013

Dynamic Template Tracking and Recognition.
Int. J. Comput. Vis., 2013

Berkeley MHAD: A comprehensive Multimodal Human Action Database.
Proceedings of the 2013 IEEE Workshop on Applications of Computer Vision, 2013

Joint Dictionary and Classifier Learning for Categorization of Images Using a Max-margin Framework.
Proceedings of the Image and Video Technology - 6th Pacific-Rim Symposium, 2013

Surgical Gesture Segmentation and Recognition.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013

A Metamorphosis Distance for Embryonic Cardiac Action Potential Interpolation and Classification.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013

String Motif-Based Description of Tool Motion for Detecting Skill and Gestures in Robotic Surgery.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013

Rotation Invariant Features for HARDI.
Proceedings of the Information Processing in Medical Imaging, 2013

Efficient Object Localization and Pose Estimation with 3D Wireframe Models.
Proceedings of the 2013 IEEE International Conference on Computer Vision Workshops, 2013

Latent Space Sparse Subspace Clustering.
Proceedings of the IEEE International Conference on Computer Vision, 2013

Hierarchical Joint Max-Margin Learning of Mid and Top Level Representations for Visual Recognition.
Proceedings of the IEEE International Conference on Computer Vision, 2013

Coarse-to-Fine Semantic Video Segmentation Using Supervoxel Trees.
Proceedings of the IEEE International Conference on Computer Vision, 2013

Group Action Induced Distances on Spaces of High-Dimensional Linear Stochastic Processes.
Proceedings of the Geometric Science of Information - First International Conference, 2013

Fast Jacobi-type algorithm for computing distances between linear dynamical systems.
Proceedings of the 12th European Control Conference, 2013

Bio-inspired Dynamic 3D Discriminative Skeletal Features for Human Action Recognition.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2013

Initial-state invariant Binet-Cauchy kernels for the comparison of Linear Dynamical Systems.
Proceedings of the 52nd IEEE Conference on Decision and Control, 2013

The alignment distance on Spaces of Linear Dynamical Systems.
Proceedings of the 52nd IEEE Conference on Decision and Control, 2013

2012
Block-Sparse Recovery via Convex Optimization.
IEEE Trans. Signal Process., 2012

Finding Exemplars from Pairwise Dissimilarities via Simultaneous Sparse Recovery.
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

Estimation of Non-negative ODFs Using the Eigenvalue Distribution of Spherical Functions.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012

Surgical Gesture Classification from Video Data.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012

Group action induced averaging for HARDI processing.
Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012

An algebraic solution to rotation recovery in HARDI from correspondences of orientation distribution functions.
Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012

Sparse Hidden Markov Models for Surgical Gesture Classification and Skill Evaluation.
Proceedings of the Information Processing in Computer-Assisted Interventions, 2012

Visual Dictionary Learning for Joint Object Categorization and Segmentation.
Proceedings of the Computer Vision - ECCV 2012, 2012

See all by looking at a few: Sparse modeling for finding representative objects.
Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

Group action induced distances for averaging and clustering Linear Dynamical Systems with applications to the analysis of dynamic scenes.
Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

Intrinsic consensus on SO(3) with almost-global convergence.
Proceedings of the 51th IEEE Conference on Decision and Control, 2012

Image Priors for Image Deblurring with Uncertain Blur.
Proceedings of the British Machine Vision Conference, 2012

2011
Estimation of Local Orientations in Fibrous Structures With Applications to the Purkinje System.
IEEE Trans. Biomed. Eng., 2011

Subspace Clustering.
IEEE Signal Process. Mag., 2011

Distributed Computer Vision Algorithms.
IEEE Signal Process. Mag., 2011

Dimensionality Reduction via Subspace and Submanifold Learning [From the Guest Editors].
IEEE Signal Process. Mag., 2011

Estimation of Alpha Mattes for Multiple Image Layers.
IEEE Trans. Pattern Anal. Mach. Intell., 2011

Video Registration Using Dynamic Textures.
IEEE Trans. Pattern Anal. Mach. Intell., 2011

A nonparametric Riemannian framework for processing high angular resolution diffusion images and its applications to ODF-based morphometry.
NeuroImage, 2011

Hypothesize and Bound: A Computational Focus of Attention Mechanism for Simultaneous 3D Shape Reconstruction, Pose Estimation and Classification from a Single 2D Image.
CoRR, 2011

A Computational Focus of Attention Mechanism to Process Shapes Efficiently: Theory
CoRR, 2011

Structured Sparse Recovery via Convex Optimization
CoRR, 2011

A continuous optimization framework for hybrid system identification.
Autom., 2011

Sparse Manifold Clustering and Embedding.
Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

Sparse Riemannian manifold clustering for HARDI segmentation.
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011

A hypothesize-and-bound algorithm for simultaneous object classification, pose estimation and 3D reconstruction from a single 2D image.
Proceedings of the IEEE International Conference on Computer Vision Workshops, 2011

Distributed computer vision algorithms through distributed averaging.
Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

Using global bag of features models in random fields for joint categorization and segmentation of objects.
Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

A closed form solution to robust subspace estimation and clustering.
Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

Robust classification using structured sparse representation.
Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

Average consensus on Riemannian manifolds with bounded curvature.
Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, 2011

Corrective consensus with asymmetric wireless links.
Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, 2011

Accelerated corrective consensus: Converge to the exact average at a faster rate.
Proceedings of the American Control Conference, 2011

Sparsity in unions of subspaces for classification and clustering of high-dimensional data.
Proceedings of the 49th Annual Allerton Conference on Communication, 2011

2010
Motion Segmentation in the Presence of Outlying, Incomplete, or Corrupted Trajectories.
IEEE Trans. Pattern Anal. Mach. Intell., 2010

Clustering disjoint subspaces via sparse representation.
Proceedings of the IEEE International Conference on Acoustics, 2010

Consensus with robustness to outliers via distributed optimization.
Proceedings of the 49th IEEE Conference on Decision and Control, 2010

Nonlinear hybrid system identification with kernel models.
Proceedings of the 49th IEEE Conference on Decision and Control, 2010

Corrective consensus: Converging to the exact average.
Proceedings of the 49th IEEE Conference on Decision and Control, 2010

A Unified Approach to Segmentation and Categorization of Dynamic Textures.
Proceedings of the Computer Vision - ACCV 2010, 2010

2009
Estimating Orientation Distribution Functions with Probability Density Constraints and Spatial Regularity.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2009

Estimation of Multimodal Orientation Distribution Functions from Cardiac MRI for Tracking Purkinje Fibers Through Branchings.
Proceedings of the 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Boston, MA, USA, June 28, 2009

Distributed calibration of Camera Sensor Networks.
Proceedings of the Third ACM/IEEE International Conference on Distributed Smart Cameras, 2009

P-brush: Continuous valued MRFs with normed pairwise distributions for image segmentation.
Proceedings of the 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009), 2009

View-invariant dynamic texture recognition using a bag of dynamical systems.
Proceedings of the 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009), 2009

A nonparametric Riemannian framework for processing high angular resolution diffusion images (HARDI).
Proceedings of the 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009), 2009

Sparse subspace clustering.
Proceedings of the 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009), 2009

Histograms of oriented optical flow and Binet-Cauchy kernels on nonlinear dynamical systems for the recognition of human actions.
Proceedings of the 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009), 2009

Intrinsic mean shift for clustering on Stiefel and Grassmann manifolds.
Proceedings of the 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009), 2009

Distributed image-based 3-D localization of camera sensor networks.
Proceedings of the 48th IEEE Conference on Decision and Control, 2009

Rank tests for the observability of discrete-time jump linear systems with inputs.
Proceedings of the American Control Conference, 2009

2008
Three-View Multibody Structure from Motion.
IEEE Trans. Pattern Anal. Mach. Intell., 2008

Multiframe Motion Segmentation with Missing Data Using PowerFactorization and GPCA.
Int. J. Comput. Vis., 2008

Recursive identification of switched ARX systems.
Autom., 2008

Unsupervised Riemannian Clustering of Probability Density Functions.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2008

Nonlinear filtering for extracting orientation and tracing tubular structures in 2-D medical images.
Proceedings of the 2008 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2008

Distributed pose averaging in camera networks via consensus on SE(3).
Proceedings of the 2008 Second ACM/IEEE International Conference on Distributed Smart Cameras, 2008

Realization Theory for Discrete-Time Semi-algebraic Hybrid Systems.
Proceedings of the Hybrid Systems: Computation and Control, 11th International Workshop, 2008

Algebraic Identification of MIMO SARX Models.
Proceedings of the Hybrid Systems: Computation and Control, 11th International Workshop, 2008

Perspective Nonrigid Shape and Motion Recovery.
Proceedings of the Computer Vision, 2008

Segmenting Fiber Bundles in Diffusion Tensor Images.
Proceedings of the Computer Vision, 2008

Interactive image matting for multiple layers.
Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 2008

Interactive image segmentation via minimization of quadratic energies on directed graphs.
Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 2008

Motion segmentation via robust subspace separation in the presence of outlying, incomplete, or corrupted trajectories.
Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 2008

Clustering and dimensionality reduction on Riemannian manifolds.
Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 2008

2007
Binet-Cauchy Kernels on Dynamical Systems and its Application to the Analysis of Dynamic Scenes.
Int. J. Comput. Vis., 2007

Identification of Hybrid Systems: A Tutorial.
Eur. J. Control, 2007

Epicardial Segmentation in Dynamic Cardiac Mr Sequences Using Priors On Shape, Intensity, and Dynamics, in a Level Set Framework.
Proceedings of the 2007 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2007

DynamicBoost: Boosting Time Series Generated by Dynamical Systems.
Proceedings of the IEEE 11th International Conference on Computer Vision, 2007

Metrics and Topology for Nonlinear and Hybrid Systems.
Proceedings of the Hybrid Systems: Computation and Control, 10th International Workshop, 2007

A Benchmark for the Comparison of 3-D Motion Segmentation Algorithms.
Proceedings of the 2007 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2007), 2007

Projective Factorization of Multiple Rigid-Body Motions.
Proceedings of the 2007 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2007), 2007

Segmenting Motions of Different Types by Unsupervised Manifold Clustering.
Proceedings of the 2007 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2007), 2007

Identification of spatial-temporal switched ARX systems.
Proceedings of the 46th IEEE Conference on Decision and Control, 2007

Realization theory of stochastic jump-Markov linear systems.
Proceedings of the 46th IEEE Conference on Decision and Control, 2007

2006
A Unified Algebraic Approach to 2-D and 3-D Motion Segmentation and Estimation.
J. Math. Imaging Vis., 2006

Two-View Multibody Structure from Motion.
Int. J. Comput. Vis., 2006

Online Clustering of Moving Hyperplanes.
Proceedings of the Advances in Neural Information Processing Systems 19, 2006

Segmenting a beating heart using polysegment and Spatial GPCA.
Proceedings of the 2006 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2006

An algebraic solution to rigid registration of diffusion tensor images.
Proceedings of the 2006 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2006

Combined central and subspace clustering for computer vision applications.
Proceedings of the Machine Learning, 2006

Nonrigid Shape and Motion from Multiple Perspective Views.
Proceedings of the Computer Vision, 2006

Direct Segmentation of Multiple 2-D Motion Models of Different Types.
Proceedings of the Dynamical Vision, ICCV 2005 and ECCV 2006 Workshops, 2006

Algebraic Methods for Direct and Feature Based Registration of Diffusion Tensor Images.
Proceedings of the Computer Vision, 2006

Segmenting Dynamic Textures with Ising Descriptors, ARX Models and Level Sets.
Proceedings of the Dynamical Vision, ICCV 2005 and ECCV 2006 Workshops, 2006

The Space of Multibody Fundamental Matrices: Rank, Geometry and Projection.
Proceedings of the Dynamical Vision, ICCV 2005 and ECCV 2006 Workshops, 2006

A Bottom up Algebraic Approach to Motion Segmentation.
Proceedings of the Computer Vision, 2006

2005
Generalized Principal Component Analysis (GPCA).
IEEE Trans. Pattern Anal. Mach. Intell., 2005

Multi-Subspace Methods for Motion Segmentation from Affine, Perspective and Central Panoramic Cameras.
Proceedings of the 2005 IEEE International Conference on Robotics and Automation, 2005

Identification of Deterministic Switched ARX Systems via Identification of Algebraic Varieties.
Proceedings of the Hybrid Systems: Computation and Control, 8th International Workshop, 2005

Comparison of Four Procedures for the Identification of Hybrid Systems.
Proceedings of the Hybrid Systems: Computation and Control, 8th International Workshop, 2005

A Closed Form Solution to Direct Motion Segmentation.
Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2005), 2005

Optical Flow Estimation and Segmentation of Multiple Moving Dynamic Textures.
Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2005), 2005

Recursive Identification of Switched ARX Models with Unknown Number of Models and Unknown Orders.
Proceedings of the 44th IEEE IEEE Conference on Decision and Control and 8th European Control Conference Control, 2005

2004
Following the flock [formation control].
IEEE Robotics Autom. Mag., 2004

Rank Conditions on the Multiple-View Matrix.
Int. J. Comput. Vis., 2004

Multiple-view geometry for image-based modeling.
Proceedings of the International Conference on Computer Graphics and Interactive Techniques, 2004

Tracking of Points in a Calibrated and Noisy Image Sequence.
Proceedings of the Image Analysis and Recognition: International Conference, 2004

A Unified Algebraic Approach to 2-D and 3-D Motion Segmentation.
Proceedings of the Computer Vision, 2004

A New GPCA Algorithm for Clustering Subspaces by Fitting, Differentiating and Dividing Polynomials.
Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2004), with CD-ROM, 27 June, 2004

Motion Segmentation with Missing Data Using PowerFactorization and GPCA.
Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2004), with CD-ROM, 27 June, 2004

Minimum Effective Dimension for Mixtures of Subspaces: A Robust GPCA Algorithm and Its Applications.
Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2004), with CD-ROM, 27 June, 2004

The Multibody Trifocal Tensor: Motion Segmentation from 3 Perspective Views.
Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2004), with CD-ROM, 27 June, 2004

Recursive identification of switched ARX hybrid models: exponential convergence and persistence of excitation.
Proceedings of the 43rd IEEE Conference on Decision and Control, 2004

Identification of PWARX hybrid models with unknown and possibly different orders.
Proceedings of the 2004 American Control Conference, 2004

2003
Vision-based follow-the-leader.
Proceedings of the 2003 IEEE/RSJ International Conference on Intelligent Robots and Systems, Las Vegas, Nevada, USA, October 27, 2003

Formation control of nonholonomic mobile robots with omnidirectional visual servoing and motion segmentation.
Proceedings of the 2003 IEEE International Conference on Robotics and Automation, 2003

Multibody motion estimation and segmentation from multiple central panoramic views.
Proceedings of the 2003 IEEE International Conference on Robotics and Automation, 2003

Observability of Linear Hybrid Systems.
Proceedings of the Hybrid Systems: Computation and Control, 2003

Optimal Segmentation of Dynamic Scenes from Two Perspective Views.
Proceedings of the 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2003), 2003

Structure from Small Baseline Motion with Central Panoramic Cameras.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2003

Omnidirectional Egomotion Estimation From Back-projection Flow.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2003

An algebraic geometric approach to the identification of a class of linear hybrid systems.
Proceedings of the 42nd IEEE Conference on Decision and Control, 2003

2002
Probabilistic pursuit-evasion games: theory, implementation, and experimental evaluation.
IEEE Trans. Robotics Autom., 2002

Multiple View Motion Estimation and Control for Landing an Unmanned Aerial Vehicle.
Proceedings of the 2002 IEEE International Conference on Robotics and Automation, 2002

Structure from Planar Motions with Small Baselines.
Proceedings of the Computer Vision, 2002

Observability and identifiability of jump linear systems.
Proceedings of the 41st IEEE Conference on Decision and Control, 2002

2001
Design of fuzzy controllers based on stability analysis.
Fuzzy Sets Syst., 2001

Optimal motion estimation from multiple images by normalized epipolar constraint.
Commun. Inf. Syst., 2001

Pursuit-Evasion Games with Unmanned Ground and Aerial Vehicles.
Proceedings of the 2001 IEEE International Conference on Robotics and Automation, 2001

Optimal Motion Estimation from Multiview Normalized Epipolar Constraint.
Proceedings of the Eighth International Conference On Computer Vision (ICCV-01), Vancouver, British Columbia, Canada, July 7-14, 2001, 2001

Decidable and semi-decidable controller synthesis for classes of discrete time hybrid systems.
Proceedings of the 40th IEEE Conference on Decision and Control, 2001

A hierarchical approach to probabilistic pursuit-evasion games with unmanned ground and aerial vehicles.
Proceedings of the 40th IEEE Conference on Decision and Control, 2001

2000
Controlled Invariance of Discrete Time Systems.
Proceedings of the Hybrid Systems: Computation and Control, Third International Workshop, 2000

Kruppa Equation Revisited: Its Renormalization and Degeneracy.
Proceedings of the Computer Vision - ECCV 2000, 6th European Conference on Computer Vision, Dublin, Ireland, June 26, 2000


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