René Vidal | Academic Influence

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René Vidal

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René Vidal

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#2595

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#2714

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#526

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#1937

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Engineering
Computer Science

René Vidal's Degrees

Bachelors Electrical Engineering University of Chile
Masters Electrical Engineering University of Chile
PhD Computer Science Stanford University

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Why Is René Vidal Influential?

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According to Wikipedia, René Vidal is a Chilean electrical engineer and computer scientist who is known for his research in machine learning, computer vision, medical image computing, robotics, and control theory. He is the Herschel L. Seder Professor of the Johns Hopkins Department of Biomedical Engineering, and the founding director of the Mathematical Institute for Data Science .

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René Vidal's Published Works

Number of citations in a given year to any of this author's works

Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author

Published Works

Sparse Subspace Clustering: Algorithm, Theory, and Applications (2012) (1954)
Generalized principal component analysis (GPCA) (2005) (1098)
Temporal Convolutional Networks for Action Segmentation and Detection (2016) (889)
A Benchmark for the Comparison of 3-D Motion Segmentation Algorithms (2007) (727)
Histograms of oriented optical flow and Binet-Cauchy kernels on nonlinear dynamical systems for the recognition of human actions (2009) (661)
Probabilistic pursuit-evasion games: theory, implementation, and experimental evaluation (2002) (557)
Sparse Subspace Clustering: Algorithm, Theory, and Applications. (2013) (507)
Multiframe Motion Segmentation with Missing Data Using PowerFactorization and GPCA (2004) (424)
Temporal Convolutional Networks: A Unified Approach to Action Segmentation (2016) (422)
Berkeley MHAD: A comprehensive Multimodal Human Action Database (2013) (417)
Low rank subspace clustering (LRSC) (2014) (404)
Identification of Hybrid Systems: A Tutorial (2007) (394)
Sequence of the Most Informative Joints (SMIJ): A new representation for human skeletal action recognition (2012) (388)
See all by looking at a few: Sparse modeling for finding representative objects (2012) (373)
Motion Segmentation in the Presence of Outlying, Incomplete, or Corrupted Trajectories (2010) (336)
A closed form solution to robust subspace estimation and clustering (2011) (326)
Scalable Sparse Subspace Clustering by Orthogonal Matching Pursuit (2015) (322)
An algebraic geometric approach to the identification of a class of linear hybrid systems (2003) (316)
Sparse Manifold Clustering and Embedding (2011) (283)
Observability of Linear Hybrid Systems (2003) (275)
JHU-ISI Gesture and Skill Assessment Working Set ( JIGSAWS ) : A Surgical Activity Dataset for Human Motion Modeling (2014) (272)
Generalized Principal Component Analysis (2016) (265)
Motion segmentation via robust subspace separation in the presence of outlying, incomplete, or corrupted trajectories (2008) (250)
Robust classification using structured sparse representation (2011) (234)
Segmental Spatiotemporal CNNs for Fine-Grained Action Segmentation (2016) (220)
Segmenting Motions of Different Types by Unsupervised Manifold Clustering (2007) (211)
Formation control of nonholonomic mobile robots with omnidirectional visual servoing and motion segmentation (2003) (204)
Observability and identifiability of jump linear systems (2002) (200)
Oracle Based Active Set Algorithm for Scalable Elastic Net Subspace Clustering (2016) (197)
Structured Sparse Subspace Clustering: A unified optimization framework (2015) (179)
Two-View Multibody Structure from Motion (2006) (174)
A Dataset and Benchmarks for Segmentation and Recognition of Gestures in Robotic Surgery (2017) (169)
Bio-inspired Dynamic 3D Discriminative Skeletal Features for Human Action Recognition (2013) (164)
Structured Sparse Subspace Clustering: A Joint Affinity Learning and Subspace Clustering Framework (2016) (161)
Multiple view motion estimation and control for landing an unmanned aerial vehicle (2002) (157)
A TUTORIAL ON SUBSPACE CLUSTERING (2010) (154)
Clustering and dimensionality reduction on Riemannian manifolds (2008) (148)
Binet-Cauchy Kernels on Dynamical Systems and its Application to the Analysis of Dynamic Scenes (2007) (147)
Block-Sparse Recovery via Convex Optimization (2011) (145)
3D Pose Regression Using Convolutional Neural Networks (2017) (143)
Global Optimality in Tensor Factorization, Deep Learning, and Beyond (2015) (142)
Sparse Hidden Markov Models for Surgical Gesture Classification and Skill Evaluation (2012) (138)
Comparison of Four Procedures for the Identification of Hybrid Systems (2005) (135)
Surgical gesture classification from video and kinematic data (2013) (132)
Clustering disjoint subspaces via sparse representation (2010) (131)
View-invariant dynamic texture recognition using a bag of dynamical systems (2009) (130)
A Unified Algebraic Approach to 2-D and 3-D Motion Segmentation (2004) (124)
On the Convergence of Gradient Descent for Finding the Riemannian Center of Mass (2011) (123)
Perspective Nonrigid Shape and Motion Recovery (2008) (121)
Intrinsic mean shift for clustering on Stiefel and Grassmann manifolds (2009) (120)
Recursive identification of switched ARX systems (2008) (119)
Structured Low-Rank Matrix Factorization: Optimality, Algorithm, and Applications to Image Processing (2014) (116)
Categorizing Dynamic Textures Using a Bag of Dynamical Systems (2013) (115)
Optical flow estimation & segmentation of multiple moving dynamic textures (2005) (113)
Distributed image-based 3-D localization of camera sensor networks (2009) (112)
Identification of Deterministic Switched ARX Systems via Identification of Algebraic Varieties (2005) (112)
Global Optimality in Neural Network Training (2017) (107)
Mathematics of Deep Learning (2017) (107)
Distributed 3-D Localization of Camera Sensor Networks From 2-D Image Measurements (2014) (105)
A new GPCA algorithm for clustering subspaces by fitting, differentiating and dividing polynomials (2004) (105)
Pursuit-evasion games with unmanned ground and aerial vehicles (2001) (104)
Surgical Gesture Segmentation and Recognition (2013) (101)
Riemannian Consensus for Manifolds With Bounded Curvature (2012) (98)
Finding Exemplars from Pairwise Dissimilarities via Simultaneous Sparse Recovery (2012) (97)
Provable Self-Representation Based Outlier Detection in a Union of Subspaces (2017) (97)
Distributed pose averaging in camera networks via consensus on SE(3) (2008) (97)
Latent Space Sparse and Low-Rank Subspace Clustering (2015) (94)
A continuous optimization framework for hybrid system identification (2011) (92)
Intrinsic consensus on SO(3) with almost-global convergence (2012) (91)
Learning convolutional action primitives for fine-grained action recognition (2016) (90)
Dual Principal Component Pursuit (2015) (85)
Vision-based follow-the-leader (2003) (81)
Sparse Subspace Clustering with Missing Entries (2015) (81)
Following the flock [formation control] (2004) (79)
Combined central and subspace clustering for computer vision applications (2006) (76)
ADMM and Accelerated ADMM as Continuous Dynamical Systems (2018) (74)
A hierarchical approach to probabilistic pursuit-evasion games with unmanned ground and aerial vehicles (2001) (73)
Nonconvex Robust Low-rank Matrix Recovery (2018) (71)
Minimum effective dimension for mixtures of subspaces: a robust GPCA algorithm and its applications (2004) (69)
Controlled Invariance of Discrete Time Systems (2000) (69)
An Improved Model for Segmentation and Recognition of Fine-Grained Activities with Application to Surgical Training Tasks (2015) (68)
Distributed Formation Control with Omnidirectional Vision-Based Motion Segmentation and Visual Servoing (2004) (68)
Two-View Segmentation of Dynamic Scenes from the Multibody Fundamental Matrix (2002) (67)
The multibody trifocal tensor: motion segmentation from 3 perspective views (2004) (65)
Surgical Gesture Classification from Video Data (2012) (64)
A Structured Sparse Plus Structured Low-Rank Framework for Subspace Clustering and Completion (2016) (62)
Estimating Orientation Distribution Functions with Probability Density Constraints and Spatial Regularity (2009) (61)
Moving Poselets: A Discriminative and Interpretable Skeletal Motion Representation for Action Recognition (2015) (61)
Curriculum Dropout (2017) (60)
On the Implicit Bias of Dropout (2018) (58)
Identification of PWARX hybrid models with unknown and possibly different orders (2004) (58)
A Unified Algebraic Approach to 2-D and 3-D Motion Segmentation and Estimation (2006) (57)
Distributed computer vision algorithms through distributed averaging (2011) (56)
Projective Factorization of Multiple Rigid-Body Motions (2007) (56)
Optimal segmentation of dynamic scenes from two perspective views (2003) (56)
Conformal symplectic and relativistic optimization (2019) (54)
Distributed Computer Vision Algorithms (2011) (53)
String Motif-Based Description of Tool Motion for Detecting Skill and Gestures in Robotic Surgery (2013) (53)
A nonparametric Riemannian framework for processing high angular resolution diffusion images and its applications to ODF-based morphometry (2011) (51)
Structured Low-Rank Matrix Factorization: Global Optimality, Algorithms, and Applications (2017) (51)
Corrective consensus: Converging to the exact average (2010) (49)
Scalable Exemplar-based Subspace Clustering on Class-Imbalanced Data (2018) (45)
Three-View Multibody Structure from Motion (2008) (45)
Generalized principal component analysis (GPCA) (2003) (44)
Video Registration Using Dynamic Textures (2008) (44)
Unsupervised Riemannian Clustering of Probability Density Functions (2008) (44)
Nonrigid Shape and Motion from Multiple Perspective Views (2006) (44)
Decidable and semi-decidable controller synthesis for classes of discrete time hybrid systems (2001) (43)
Segmenting Dynamic Textures with Ising Descriptors, ARX Models and Level Sets (2006) (42)
Segmentation of High Angular Resolution Diffusion MRI Using Sparse Riemannian Manifold Clustering (2014) (41)
P-brush: Continuous valued MRFs with normed pairwise distributions for image segmentation (2009) (41)
On dissipative symplectic integration with applications to gradient-based optimization (2020) (40)
Algebraic Clustering of Affine Subspaces (2015) (40)
Rank Conditions on the Multiple-View Matrix (2004) (40)
Generalized principal component analysis (gpca): an algebraic geometric approach to subspace clustering and motion segmentation (2003) (39)
Geometric Conditions for Subspace-Sparse Recovery (2015) (38)
A nonparametric Riemannian framework for processing high angular resolution diffusion images (HARDI) (2009) (37)
Interactive image segmentation via minimization of quadratic energies on directed graphs (2008) (37)
Dual Principal Component Pursuit: Improved Analysis and Efficient Algorithms (2018) (37)
Omnidirectional Egomotion Estimation From Back-projection Flow (2003) (36)
Coarse-to-Fine Semantic Video Segmentation Using Supervoxel Trees (2013) (35)
A Mixed Classification-Regression Framework for 3D Pose Estimation from 2D Images (2018) (34)
Dropout as a Low-Rank Regularizer for Matrix Factorization (2017) (33)
Recursive Identification of Switched ARX Models with Unknown Number of Models and Unknown Orders (2005) (33)
Group action induced distances for averaging and clustering Linear Dynamical Systems with applications to the analysis of dynamic scenes (2012) (33)
Applications of hybrid system identification in computer vision (2007) (32)
Using global bag of features models in random fields for joint categorization and segmentation of objects (2011) (31)
Analysis of the Structure of Surgical Activity for a Suturing and Knot-Tying Task (2016) (30)
Kruppa Equation Revisited: Its Renormalization and Degeneracy (2000) (30)
Hyperplane Clustering via Dual Principal Component Pursuit (2017) (29)
A Scalable Exemplar-Based Subspace Clustering Algorithm for Class-Imbalanced Data (2018) (29)
Optimal motion estimation from multiview normalized epipolar constraint (2001) (29)
A Dynamical Systems Perspective on Nonsmooth Constrained Optimization (2018) (27)
Identification of switched linear state space models without minimum dwell time (2009) (27)
On Geometric Analysis of Affine Sparse Subspace Clustering (2018) (27)
Representation Learning on Visual-Symbolic Graphs for Video Understanding (2019) (24)
Structure from Planar Motions with Small Baselines (2002) (24)
Recursive identification of switched ARX hybrid models: exponential convergence and persistence of excitation (2004) (23)
Estimation of Alpha Mattes for Multiple Image Layers (2011) (23)
Theoretical Analysis of Sparse Subspace Clustering with Missing Entries (2018) (23)
Realization theory of stochastic jump-Markov linear systems (2007) (22)
Visual Dictionary Learning for Joint Object Categorization and Segmentation (2012) (21)
Linear systems with sparse inputs: Observability and input recovery (2015) (21)
3D Pose Regression Using Convolutional Neural Networks (2017) (21)
End-to-End Fine-Grained Action Segmentation and Recognition Using Conditional Random Field Models and Discriminative Sparse Coding (2018) (21)
Consensus with robustness to outliers via distributed optimization (2010) (21)
Filtrated Algebraic Subspace Clustering (2015) (21)
Joint Dictionary and Classifier Learning for Categorization of Images Using a Max-margin Framework (2013) (20)
Average consensus on Riemannian manifolds with bounded curvature (2011) (20)
VISION-BASED DETECTION OF AUTONOMOUS VEHICLES FOR PURSUIT-EVASION GAMES (2002) (20)
Multibody motion estimation and segmentation from multiple central panoramic views (2003) (20)
Online Clustering of Moving Hyperplanes (2006) (20)
Nonlinear hybrid system identification with kernel models (2010) (20)
DynamicBoost: Boosting Time Series Generated by Dynamical Systems (2007) (19)
Distributed optimization on manifolds for consensus algorithms and camera network localization (2012) (19)
Algebraic Identification of MIMO SARX Models (2008) (19)
Finding the Sparsest Vectors in a Subspace: Theory, Algorithms, and Applications (2020) (19)
A closed form solution to direct motion segmentation (2005) (19)
Automated Grouping of Action Potentials of Human Embryonic Stem Cell-Derived Cardiomyocytes (2014) (19)
Metrics and Topology for Nonlinear and Hybrid Systems (2007) (19)
A Factorization Method for 3 D Multi-body Motion Estimation and Segmentation ∗ (2002) (19)
Blood cell detection and counting in holographic lens-free imaging by convolutional sparse dictionary learning and coding (2017) (18)
Group action induced averaging for HARDI processing (2012) (18)
Interactive image matting for multiple layers (2008) (18)
Is an Affine Constraint Needed for Affine Subspace Clustering? (2019) (18)
Hierarchical Joint Max-Margin Learning of Mid and Top Level Representations for Visual Recognition (2013) (17)
Dimensionality Reduction via Subspace and Submanifold Learning (2011) (16)
Learning Shared, Discriminative, and Compact Representations for Visual Recognition (2015) (16)
A Critique of Self-Expressive Deep Subspace Clustering (2020) (16)
Learning a Self-Expressive Network for Subspace Clustering (2021) (16)
Dynamic Template Tracking and Recognition (2012) (16)
Rotation Invariant Features for HARDI (2013) (16)
A Linearly Convergent Method for Non-Smooth Non-Convex Optimization on the Grassmannian with Applications to Robust Subspace and Dictionary Learning (2019) (16)
Realization Theory for a Class of Stochastic Bilinear Systems (2018) (16)
Dimensionality Reduction via Subspace and Submanifold Learning [From the Guest Editors] (2011) (15)
A Unified Approach to Segmentation and Categorization of Dynamic Textures (2010) (15)
Algebraic Methods for Direct and Feature Based Registration of Diffusion Tensor Images (2006) (15)
Noisy Dual Principal Component Pursuit (2019) (15)
Segmenting Fiber Bundles in Diffusion Tensor Images (2008) (15)
The alignment distance on Spaces of Linear Dynamical Systems (2013) (15)
Identification of Switched MIMO ARX models (2007) (15)
Spatial-Angular Sparse Coding for HARDI (2016) (14)
Sparse Riemannian manifold clustering for HARDI segmentation (2011) (14)
A Game Theoretic Analysis of Additive Adversarial Attacks and Defenses (2020) (14)
A nonconvex formulation for low rank subspace clustering: algorithms and convergence analysis (2018) (14)
Efficient Reconstruction of Holographic Lens-Free Images by Sparse Phase Recovery (2017) (14)
Learning Shared , Discriminative Dictionaries for Surgical Gesture Segmentation and Classification (2015) (14)
Sparse Dictionaries for Semantic Segmentation (2014) (13)
The Space of Multibody Fundamental Matrices: Rank, Geometry and Projection (2006) (13)
3 D Pose Regression using Convolutional Neural Networks (13)
Efficient Object Localization and Pose Estimation with 3D Wireframe Models (2013) (13)
Distributed 3-D localization in camera networks (2009) (13)
Gradient flows and proximal splitting methods: A unified view on accelerated and stochastic optimization. (2019) (13)
Joint spatial‐angular sparse coding for dMRI with separable dictionaries (2018) (13)
Filtrated Spectral Algebraic Subspace Clustering (2015) (12)
Multi-Subspace Methods for Motion Segmentation from Affine, Perspective and Central Panoramic Cameras (2005) (12)
On the Regularization Properties of Structured Dropout (2019) (12)
Deep Moving Poselets for Video Based Action Recognition (2017) (12)
Sparse Recovery over Graph Incidence Matrices (2018) (12)
Structured Sparse Recovery via Convex Optimization (2011) (11)
Rank tests for the observability of discrete-time jump linear systems with inputs (2009) (11)
Distributed calibration of Camera Sensor Networks (2009) (11)
Classifying and Comparing Approaches to Subspace Clustering with Missing Data (2019) (11)
Accelerated corrective consensus: Converge to the exact average at a faster rate (2011) (11)
Image Priors for Image Deblurring with Uncertain Blur (2012) (10)
On the Explicit Role of Initialization on the Convergence and Implicit Bias of Overparametrized Linear Networks (2021) (10)
Global Optimality in Separable Dictionary Learning with Applications to the Analysis of Diffusion MRI (2019) (10)
Estimation of Non-negative ODFs Using the Eigenvalue Distribution of Spherical Functions (2012) (10)
Structure from Small Baseline Motion with Central Panoramic Cameras (2003) (10)
Robust Homography Estimation via Dual Principal Component Pursuit (2020) (10)
A product-of-errors framework for linear hybrid system identification (2009) (10)
A divide-and-conquer framework for large-scale subspace clustering (2016) (9)
Fast Jacobi-type algorithm for computing distances between linear dynamical systems (2013) (9)
Self-Representation Based Unsupervised Exemplar Selection in a Union of Subspaces (2020) (9)
Information Pursuit: A Bayesian Framework for Sequential Scene Parsing (2017) (9)
Neural Message Passing on Hybrid Spatio-Temporal Visual and Symbolic Graphs for Video Understanding (2019) (9)
Sparse Subspace Clustering by Orthogonal Matching Pursuit (2015) (8)
A novel variational form of the Schatten-p quasi-norm (2020) (8)
Abstract algebraic-geometric subspace clustering (2014) (8)
Distances on Spaces of High-Dimensional Linear Stochastic Processes: A Survey (2014) (8)
Group Action Induced Distances on Spaces of High-Dimensional Linear Stochastic Processes (2013) (8)
Doubly Stochastic Subspace Clustering (2020) (8)
Corrective consensus with asymmetric wireless links (2011) (8)
Gradient Flows and Accelerated Proximal Splitting Methods (2019) (7)
Distributed Consensus Algorithms for Image-Based Localization in Camera Sensor Networks (2011) (7)
Switched and piecewise affine systems (2009) (7)
Segmentation of circular casting defects using a robust algorithm (2005) (7)
Estimation of Local Orientations in Fibrous Structures With Applications to the Purkinje System (2011) (7)
Introduction to the Issue on Robust Subspace Learning and Tracking: Theory, Algorithms, and Applications (2018) (7)
Rank Conditions of the Multiple View Matrix in Multiple View Geometry (2001) (7)
Basis Pursuit and Orthogonal Matching Pursuit for Subspace-preserving Recovery: Theoretical Analysis (2019) (7)
Distributed Face Recognition via Consensus on SE(3) (2008) (7)
Sparsity in unions of subspaces for classification and clustering of high-dimensional data (2011) (6)
Stretching Domain Adaptation: How far is too far? (2017) (6)
Tracking of Points in a Calibrated and Noisy Image Sequence (2004) (6)
Subspace-Sparse Representation (2015) (6)
Identification of Switched Linear State Space Models without Dwell Time (2009) (6)
($k, q$)-Compressed Sensing for dMRI with Joint Spatial-Angular Sparsity Prior (2017) (6)
Estimation of multimodal orientation distribution functions from cardiac MRI for tracking Purkinje fibers through branchings (2009) (6)
Monocular Object Orientation Estimation using Riemannian Regression and Classification Networks (2018) (6)
Convolutional Networks for Object Category and 3D Pose Estimation from 2D Images (2017) (6)
Efficient Segmental Inference for Spatiotemporal Modeling of Fine-grained Actions (2016) (5)
Segmenting a beating heart using polysegment and Spatial GPCA (2006) (5)
Generative optical modeling of whole blood for detecting platelets in lens-free images. (2020) (5)
Stochastic Tractography in 3-D Images via Nonlinear Filtering and Spherical Clustering (2009) (5)
Relax, and Accelerate: A Continuous Perspective on ADMM (2018) (5)
Automated and scalable Computerized Assessment of Motor Imitation (CAMI) in children with Autism Spectrum Disorder using a single 2D camera: A pilot study (2021) (5)
A System Theoretic Approach to Synthesis and Classification of Lip Articulation (2007) (5)
Improving age measurement in low- and middle-income countries through computer vision: A test in Senegal (2019) (5)
Realization Theory for Discrete-Time Semi-algebraic Hybrid Systems (2008) (4)
A Metamorphosis Distance for Embryonic Cardiac Action Potential Interpolation and Classification (2013) (4)
Dual Principal Component Pursuit: Probability Analysis and Efficient Algorithms (2018) (4)
New Rank Deficiency Condition for Multiple View Geometry of Point Features (2001) (4)
Model order reduction for discrete-time LTI systems using the alignment distance (2015) (4)
An algebraic solution to rotation recovery in HARDI from correspondences of orientation distribution functions (2012) (4)
A hypothesize-and-bound algorithm for simultaneous object classification, pose estimation and 3D reconstruction from a single 2D image (2011) (4)
Bundle Reduction and the Alignment Distance on Spaces of State-Space LTI Systems (2017) (4)
Car Segmentation and Pose Estimation using 3D Object Models (2015) (4)
ARCS: Accurate Rotation and Correspondence Search (2022) (4)
An Optical Model of Whole Blood for Detecting Platelets in Lens-Free Images (2019) (4)
Prospective Learning: Back to the Future (2022) (4)
Multi-cell Detection and Classification Using a Generative Convolutional Model (2018) (4)
Hypothesize and Bound: A Computational Focus of Attention Mechanism for Simultaneous 3D Shape Reconstruction, Pose Estimation and Classification from a Single 2D Image (2011) (3)
Dual Principal Component Pursuit for Learning a Union of Hyperplanes: Theory and Algorithms (2021) (3)
Identification of spatial-temporal switched ARX systems (2007) (3)
Adaptive Online k-Subspaces with Cooperative Re-Initialization (2019) (3)
Multiple-view geometry for image-based modeling (2004) (3)
Removal of the twin image artifact in holographic lens-free imaging by sparse dictionary learning and coding (2017) (3)
Segmental Spatio-Temporal CNNs for Fine-grained Action Segmentation and Classification (2016) (3)
Nonnegative ODF estimation via optimal constraint selection (2014) (3)
A Bottom up Algebraic Approach to Motion Segmentation (2006) (3)
Abstract Algebraic Subspace Clustering (2015) (3)
Hypothesize and Bound: A Computational Focus of Attention Mechanism for Simultaneous N-D Segmentation, Pose Estimation and Classification Using Shape Priors (2011) (3)
Nonlinear filtering for extracting orientation and tracing tubular structures in 2-D medical images (2008) (3)
Camera Self-Calibration: Geometry and Algorithms (1999) (3)
Separable Dictionary Learning with Global Optimality and Applications to Diffusion MRI (2018) (2)
The fastest 𝓁1, ∞ prox in the west (2019) (2)
Optimal motion estimation from multiple images by normalized epipolar constraint (2001) (2)
Identification of Deterministic Hybrid ARX Systems via the Identification of Algebraic Varieties ? (2004) (2)
Segmentation of Dynamic Scenes Taken by a Moving Central Panoramic Camera (2006) (2)
Initial-state invariant Binet-Cauchy kernels for the comparison of Linear Dynamical Systems (2013) (2)
CompactNets: Compact Hierarchical Compositional Networks for Visual Recognition (2020) (2)
EPICARDIAL SEGMENTATION IN DYNAMIC CARDIAC MR SEQUENCES USING PRIORS ON SHAPE, INTENSITY, AND DYNAMICS, IN A LEVEL SET FRAMEWORK (2007) (2)
Analysis and Extensions of Adversarial Training for Video Classification (2022) (2)
Hybrid System Identification (2016) (2)
An algebraic solution to rigid registration of diffusion tensor images (2006) (2)
An Unsupervised Domain Adaptation Approach to Classification of Stem Cell-Derived Cardiomyocytes (2019) (2)
Learning Convolutional Action Primitives from Multimodal Timeseries Data * (2015) (2)
Efficient Global Spatial-Angular Sparse Coding for Diffusion MRI with Separable Dictionaries (2016) (2)
Efficient Metamorphosis Computation for Classifying Embryonic Cardiac Action Potentials (2015) (2)
Joint Object Category and 3D Pose Estimation from 2D Images (2017) (2)
The Vision of Self-Evolving Computing Systems (2022) (2)
Interpretable by Design: Learning Predictors by Composing Interpretable Queries (2022) (2)
What is the Largest Sparsity Pattern That Can Be Recovered by 1-Norm Minimization? (2021) (2)
An Analysis of Dropout for Matrix Factorization (2017) (1)
Joint Holographic Detection and Reconstruction (2019) (1)
Results on an Intrinsic Consensus Algorithm on SO(3) with Almost-Global Convergence (2012) (1)
Recurrent Neural Networks for Classifying Human Embryonic Stem Cell-Derived Cardiomyocytes (2018) (1)
High angular resolution light field reconstruction with coded-aperture mask (2017) (1)
Using Automatic HARDI Feature Selection, Registration, and Atlas Building to Characterize the Neuroanatomy of Aβ Pathology (2016) (1)
Learning Globally Smooth Functions on Manifolds (2022) (1)
Mosaicing Non-Rigid Dynamical Scenes (2007) (1)
Sparse Recovery over Graph Incidence Matrices: Polynomial Time Guarantees and Location Dependent Performance (2018) (1)
Special Issue on the Mathematical Foundations of Deep Learning in Imaging Science (2020) (1)
Understanding Doubly Stochastic Clustering (2022) (1)
Structured Graph Variational Autoencoders for Indoor Furniture layout Generation (2022) (1)
Reverse Engineering 𝓁p attacks: A block-sparse optimization approach with recovery guarantees (2022) (1)
Generalized Nullspace Property for Structurally Sparse Signals (2019) (1)
Abstract 17481: Automated Analysis of Action Potentials from Cardiac Cell Clusters Derived from Human Embryonic Stem Cells (2012) (1)
Sparse and Low-Rank Methods (2016) (1)
Dynamical Vision, ICCV 2005 and ECCV 2006 Workshops, WDV 2005 and WDV 2006, Beijing, China, October 21, 2005, Graz, Austria, May 13, 2006. Revised Papers (2007) (1)
Object-Level Generative Models for 3D Scene Understanding (2015) (1)
Group Action Induced Distances On Spaces of Linear Stochastic Processes (2013) (1)
Lifelong Computing (2021) (1)
Adaptive sparse reconstruction for lensless digital holography via PSF estimation and phase retrieval. (2022) (1)
MIXED CLASSIFICATION REGRESSION FRAMEWORK 3 CNN 3 D Pose ( a ) Overview of the problem Feature Network Pose NetworksImage 3 D Pose Object (2018) (0)
POSE AVERAGING IN CAMERA SENSOR NETWORKS USING CONSENSUS ON MANIFOLDS (2008) (0)
Lens Free Holographic Imaging for Urinary Tract Infection Screening (2022) (0)
System and method for the removal of twin-image artifact in lens free imaging (2017) (0)
Estimating the Pose of an Object in a Distributed Camera Network (2010) (0)
Algebraic-Geometric Methods (2016) (0)
Pose Regression using Convolutional Neural Networks (2017) (0)
Boosting RANSAC via Dual Principal Component Pursuit (2021) (0)
A nonconvex formulation for low rank subspace clustering: algorithms and convergence analysis (2018) (0)
Towards joint bottom-up and top-down segmentation of objects in images (2010) (0)
Facial Tic Detection in Untrimmed Videos of Tourette Syndrome Patients (2022) (0)
The Fastest $\ell _{1, \infty }$ℓ1, ∞ Prox in the West (2019) (0)
Necessary and Sufficient Conditions for Simultaneous State and Input Recovery of Linear Systems with Sparse Inputs by 𝓁1-Minimization (2023) (0)
2 Paracatadioptric Motion Segmentation 2 . 1 Paracatadioptric projection model (2002) (0)
Globally Optimal Matrix Factorizations ,   Deep Learning and Beyond (2015) (0)
General Information Registration of Multi-modal Brain Images Combining Anatomy and Function in Medical Data Analysis Hardwiring Biological Mechanism into Statistical Learning Medical Context Training Data Learning Algorithm Prediction Rule Mechanistic Motifs Systems Biology Previous Learning Paradig (0)
Open-Universe Theory for Bayesian Inference, Decision, and Sensing (OUTBIDS) (2014) (0)
Dynamical Systems in Video Analysis (2014) (0)
JOINT SEGMENTATION AND AR MODELING OF QUASISTATIONARY SIGNALS USING THE EM (2001) (0)
Proceedings of the 2005/2006 international conference on Dynamical vision (2006) (0)
Automatic Calibration of Cameras with Special Motions (2009) (0)
Illuminating brain function during gross motor imitation using high-density diffuse optical tomography (HD-DOT) (2022) (0)
Towards real-time urinalysis with holographic lens-free imaging (2022) (0)
Optimization Landscape of Neural Networks (2021) (0)
Nonlinear and Nonparametric Extensions (2016) (0)
Model Order Reduction in the Alignment Distance and Metrization of the Kalman Decomposition (2016) (0)
Supplementary Material to Curriculum Dropout (2017) (0)
A Computational Focus of Attention Mechanism to Process Shapes Efficiently: Theory (2011) (0)
Deep Learning for Computer Vision (Dagstuhl Seminar 17391) (2017) (0)
Chapter 4: Switched and piecewise affine systems (2009) (0)
A Nullspace Property for Subspace-Preserving Recovery (2021) (0)
Variational Information Pursuit for Interpretable Predictions (2023) (0)
Direct Segmentation of Multiple 2-D Motion Models of Different Types (2006) (0)
Hypothesize and Bound: A (2011) (0)
Implicit Bias of Projected Subgradient Method Gives Provable Robust Recovery of Subspaces of Unknown Codimension (2022) (0)
Dynamical Vision: ICCV 2005 and ECCV 2006 Workshops, WDV 2005 and WDV 2006, Beijing, China, October 21, 2005, Graz, Austria, May 13, 2006, Revised ... Vision, Pattern Recognition, and Graphics) (2007) (0)

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