Index for vida

Vida, R.[Rene] * 2018: Guest Editorial: Best Papers from ICCV 2015
Includes: Vida, R.[Rene] Vida, R.[René]

Vidakis, D.G.[Dimitrios G.] * 2018: Facilitation of air traffic control via optical character recognition-based aircraft registration number extraction

Vidakis, N.[Nikolaos] * 2013: Detection and Classification of Multiple Objects using an RGB-D Sensor and Linear Spatial Pyramid Matching

Vidakovic, B. * 2014: Image Denoising With 2D Scale-Mixing Complex Wavelet Transforms

Vidal Calleja, T.[Teresa] * 2012: Impact of Landmark Parametrization on Monocular EKF-SLAM with Points and Lines
Includes: Vidal Calleja, T.[Teresa] Vidal-Calleja, T.[Teresa]

Vidal Calleja, T.A. * 2010: Action Selection for Single-Camera SLAM
Includes: Vidal Calleja, T.A. Vidal-Calleja, T.A.

Vidal Filho, J.N.[Jarbas Nunes] * 2021: Towards the Semantic Enrichment of Trajectories Using Spatial Data Infrastructures
Includes: Vidal Filho, J.N.[Jarbas Nunes] Vidal-Filho, J.N.[Jarbas Nunes]

Vidal Madjar, D.[Daniel] * 1986: Robust Method for Picture Segmentation Based on a Split-and-Merge Procedure, A
* 1997: Application of Dempster-Shafer Evidence Theory to Unsupervised Classification in Multisource Remote Sensing
* 1998: Introduction of neighborhood information in evidence theory and application to data fusion of radar and optical images with partial cloud cover
Includes: Vidal Madjar, D.[Daniel] Vidal-Madjar, D.[Daniel] Vidal-Madjar, D.

Vidal Mata, R.G.[Rosaura G.] * 2021: Bridging the Gap Between Computational Photography and Visual Recognition
* 2021: Joint Visual-Temporal Embedding for Unsupervised Learning of Actions in Untrimmed Sequences
Includes: Vidal Mata, R.G.[Rosaura G.] Vidal-Mata, R.G.[Rosaura G.]

Vidal Naquet, M.[Michel] * 2001: Fragment-Based Approach to Object Representation and Classification, A
* 2002: Visual features of intermdediate complexity and their use in classification
* 2003: Object recognition with informative features and linear classification
* 2007: effective resolution of correlation filters applied to natural scenes, The
Includes: Vidal Naquet, M.[Michel] Vidal-Naquet, M.[Michel] Vidal-Naquet, M.

Vidal Nunez, J.[Jose] * 2019: Discrete Total Variation with Finite Elements and Applications to Imaging
* 2023: Total Generalized Variation for Piecewise Constant Functions on Triangular Meshes with Applications in Imaging
Includes: Vidal Nunez, J.[Jose] Vidal-Núñez, J.[José] Vidal-Nunez, J.[Jose]

Vidal Paez, P.[Paulina] * 2020: Seasonality Analysis of Sentinel-1 and ALOS-2/PALSAR-2 Backscattered Power over Salar de Aguas Calientes Sur, Chile
* 2020: Time-Series of Vegetation Indices (VNIR/SWIR) Derived from Sentinel-2 (A/B) to Assess Turgor Pressure in Kiwifruit
Includes: Vidal Paez, P.[Paulina] Vidal-Páez, P.[Paulina]

Vidal Pino, O.[Omar] * 2021: Introducing the structural bases of typicality effects in deep learning

Vidal Ruiz, E. * 1986: Algorithm for Finding Nearest Neighbors in (Approximately) Constant Time, An

Vidal Valladares, M.G.[Matias G.] * 2022: Femto-Satellite Localization Method Based on TDOA and AOA Using Two CubeSats, A
Includes: Vidal Valladares, M.G.[Matias G.] Vidal-Valladares, M.G.[Matías G.]

Vidal, A.[Anna] * 2006: Rank-Ordered Differences Statistic Based Switching Vector Filter

Vidal, A.C.[Andoni Cortes] * 2022: Automated Annotation of Lane Markings Using LIDAR and Odometry
Includes: Vidal, A.C.[Andoni Cortes] Vidal, A.C.[Andoni Cortés]

Vidal, A.F. * 2018: Maximum Likelihood Estimation of Regularisation Parameters
* 2020: Maximum Likelihood Estimation of Regularization Parameters in High-Dimensional Inverse Problems: An Empirical Bayesian Approach Part I: Methodology and Experiments
* 2020: Maximum Likelihood Estimation of Regularization Parameters in High-Dimensional Inverse Problems: An Empirical Bayesian Approach. Part II: Theoretical Analysis
Includes: Vidal, A.F. Vidal, A.F.[Ana Fernandez]

Vidal, A.R.[Antoni Rosinol] * 2017: Real-time Visual-Inertial Odometry for Event Cameras using Keyframe-based Nonlinear Optimization
* 2018: Ultimate SLAM? Combining Events, Images, and IMU for Robust Visual SLAM in HDR and High Speed Scenarios

Vidal, C.[Claude] * 2009: Multi-class SVM for forestry classification
* 2010: Learning to Match: Deriving Optimal Template-Matching Algorithms from Probabilistic Image Models
Includes: Vidal, C.[Claude] Vidal, C.[Camille]

Vidal, C.A.[Creto A.] * 2008: Simple Feedforward Control for Responsive Motion Capture-Driven Simulations
* 2011: method for clipping splats on sharp edges and corners, A
* 2013: Latent motion spaces for full-body motion editing
Includes: Vidal, C.A.[Creto A.] Vidal, C.A.[Creto Augusto]

Vidal, D.[David] * 2015: First Polarimetric GNSS-R Measurements from a Stratospheric Flight over Boreal Forests

Vidal, E. * 1990: Inference of K-Testable Languages in the Strict Sense and Application to Syntactic Pattern Recognition
* 1992: algorithm for finding nearest neighbours in constant average time with a linear space complexity, An
* 1992: algorithm for the optimum piecewise linear approximation of digitized curves, An
* 1992: Colour Image Segmentation and Labeling Through Multiedit-Condensing
* 1992: Font-independent mixed-size digit recognition through error-correcting grammatical inference (ECGI)
* 1992: Small sample size effects in the use of editing techniques
* 1992: Transducer learning in pattern recognition
* 1993: Computation of normalized edit distance and applications
* 1993: Learning subsequential transducers for pattern recognition interpretation tasks
* 1994: Optimum Polygonal-Approximation Of Digitized-Curves
* 1995: Fast Computation of Normalized Edit Distances
* 1998: Efficient Error-correcting Viterbi Parsing
* 1998: Extended General Spacefilling Curves Heuristic, The
* 1998: Fast k-Nearest-Neighbours Searching Through Extended Versions of the Approximating and Eliminating Search Algorithm (AESA)
* 2000: class-dependent weighted dissimilarity measure for nearest neighbor classification problems, A
* 2000: Cluster-based Merging Strategy for Nearest Prototype Classifiers, A
* 2000: Efficient use of the grammar scale factor to classify incorrect words in speech recognition verification
* 2000: On the Estimation of Error-correcting Parameters
* 2000: On the Use of Normalized Edit Distances and an Efficient K-nn Search Technique (k-aesa) for Fast and Accurate String Classification
* 2000: Weighting Prototypes: A New Editing Approach
* 2002: efficient prototype merging strategy for the condensed 1-NN rule through class-conditional hierarchical clustering, An
* 2002: evaluation of the WPE algorithm using tangent distance, An
* 2002: experimental comparison between consistency-based and adaptive prototype replacement schemes, An
* 2002: On the use of Bernoulli mixture models for text classification
* 2002: windowed weighted approach for approximate cyclic string matching, A
* 2003: Local Representations for Multi-object Recognition
* 2004: Bernoulli mixture models for binary images
* 2004: Face authentication test on the BANCA database
* 2004: Learning prototypes and distances: A prototype reduction technique based on nearest neighbor error minimization
* 2004: Projection Profile Based Algorithm for Slant Removal
* 2004: Spontaneous handwriting recognition and classification
* 2005: Different Approaches to Bilingual Text Classification Based on Grammatical Inference Techniques
* 2005: Inference of finite-state transducers from regular languages
* 2005: Probabilistic Finite-State Machines-Part I
* 2005: Probabilistic Finite-State Machines-Part II
* 2005: Spontaneous Handwriting Text Recognition and Classification Using Finite-State Models
* 2005: Writing speed normalization for on-line handwritten text recognition
* 2006: Learning prototypes and distances: A prototype reduction technique based on nearest neighbor error minimization
* 2006: Learning Weighted Metrics to Minimize Nearest-Neighbor Classification Error
* 2006: Rate Distortion Optimal Bit Allocation Methods for Volumetric Data Using JPEG 2000
* 2006: Residual Coding of Images for L-Infinity Control under the JPEG 2000 Framework
* 2007: Bilingual Text Classification
* 2007: Computer Assisted Transcription for Ancient Text Images
* 2007: Computer Assisted Transcription of Handwritten Text Images
* 2007: Computer Assisted Transcription of Speech
* 2007: Inference of Stochastic Finite-State Transducers Using N -Gram Mixtures
* 2007: On the Use of JPEG 2000 to Achieve Minimum L-Infinity Error when Specifying a Compression Ratio
* 2007: On-Line Handwriting Recognition System for Tamil Handwritten Characters
* 2008: Face verification on color images using local features
* 2008: Learning weighted distances for relevance feedback in image retrieval
* 2009: Using Mouse Feedback in Computer Assisted Transcription of Handwritten Text Images
* 2010: Bi-modal Handwritten Text Corpus: Baseline Results, A
* 2010: Character-Level Interaction in Computer-Assisted Transcription of Text Images
* 2010: Computer Assisted Transcription of Text Images: Results on the GERMANA Corpus and Analysis of Improvements Needed for Practical Use
* 2010: Multimodal interactive transcription of text images
* 2011: Character-Level Interaction in Multimodal Computer-Assisted Transcription of Text Images
* 2011: Handwritten Text Recognition for Marriage Register Books
* 2011: Interactive Structured Output Prediction: Application to Chromosome Classification
* 2012: Statistical Text Line Analysis in Handwritten Documents
* 2013: Category-Based Language Models for Handwriting Recognition of Marriage License Books
* 2013: ESPOSALLES database: An ancient marriage license corpus for off-line handwriting recognition, The
* 2013: Experimental Study of Pruning Techniques in Handwritten Text Recognition Systems, An
* 2013: Fast HMM-Filler Approach for Key Word Spotting in Handwritten Documents
* 2013: Interactive Off-Line Handwritten Text Transcription Using On-Line Handwritten Text as Feedback
* 2014: Word-Graph-Based Handwriting Keyword Spotting of Out-of-Vocabulary Queries
* 2015: Automatic video to point cloud registration in a structure-from-motion framework
* 2015: Context-aware lattice based filler approach for key word spotting in handwritten documents
* 2015: Escritoire: A Multi-touch Desk with e-Pen Input for Capture, Management and Multimodal Interactive Transcription of Handwritten Documents
* 2015: High performance Query-by-Example keyword spotting using Query-by-String techniques
* 2015: ICDAR 2015 competition HTRtS: Handwritten Text Recognition on the tranScriptorium dataset
* 2015: ICDAR2015 Competition on Keyword Spotting for Handwritten Documents
* 2015: Improving sigma-lognormal parameter extraction
* 2015: New Smoothing Method for Lexicon-Based Handwritten Text Keyword Spotting, A
* 2015: Optical modelling and language modelling trade-off for Handwritten Text Recognition
* 2015: Probabilistic interpretation and improvements to the HMM-filler for handwritten keyword spotting
* 2015: Word-Graph Based Applications for Handwriting Documents: Impact of Word-Graph Size on Their Performances
* 2017: Historical Document Handwriting Transcription End-to-end System, A
* 2017: Information Extraction in Handwritten Marriage Licenses Books Using the MGGI Methodology
* 2017: Interactive Layout Detection
* 2017: JND-Guided Perceptual Pre-filtering for HEVC Compression of UHDTV Video Contents
* 2017: Simple and Effective Multi-word Query Spotting in Handwritten Text Images
* 2019: Handwritten Music Recognition for Mensural notation with convolutional recurrent neural networks
* 2019: Line Segmentation Free Probabilistic Keyword Spotting and Indexing
* 2019: Modern vs Diplomatic Transcripts for Historical Handwritten Text Recognition
* 2019: Multi-task Layout Analysis of Handwritten Musical Scores
* 2019: set of benchmarks for Handwritten Text Recognition on historical documents, A
* 2019: Study of English Neologisms Through Large-Scale Probabilistic Indexing of Bentham's Manuscripts, A
* 2020: Pattern recognition techniques for provenance classification of archaeological ceramics using ultrasounds
* 2021: Learning to Sort Handwritten Text Lines in Reading Order through Estimated Binary Order Relations
* 2021: Textual-Content-Based Classification of Bundles of Untranscribed Manuscript Images
* 2021: Writer Identification Using Deep Neural Networks: Impact of Patch Size and Number of Patches
* 2022: Classification of Untranscribed Handwritten Notarial Documents by Textual Contents
* 2022: Extracting Descriptive Words from Untranscribed Handwritten Images
* 2023: End-to-End page-Level assessment of handwritten text recognition
* 2023: Information extraction in handwritten historical logbooks
* 2023: Open set classification of untranscribed handwritten text image documents
* 2023: Processing a large collection of historical tabular images
* 2023: proxy learning curve for the Bayes classifier, A
* 2023: Segmentation of Large Historical Manuscript Bundles into Multi-page Deeds
Includes: Vidal, E. Vidal, E.[Enrique] Vidal, Jr., E. Vidal, E.[Edward] Vidal, E.[Esteban] Vidal, E.[Eloïse]
99 for Vidal, E.

Vidal, E.V.[E. Vendrell] * 2013: 3D Model Visualization Enhancements in Real-Time Game Engines
* 2014: From a Model of a City to an Urban Information System: The SIUR 3D of the Castle of Pietrabuona
Includes: Vidal, E.V.[E. Vendrell] Vidal, E.V.[Eduardo Vendrell]

Vidal, F. * 2020: Fusion of Magnetic Resonance and Ultrasound Images for Endometriosis Detection

Vidal, H.S.[Hedwig Sophie] * 2023: Detection of Solar Photovoltaic Power Plants Using Satellite and Airborne Hyperspectral Imaging

Vidal, J.[Josep] * 1999: Optimum Watermark Detection in Color Images
* 2007: shape interpolation technique based on inclusion relationships and median sets, A
* 2018: Analysis and an Interior-Point Approach for TV Image Reconstruction Problems on Smooth Surfaces
* 2018: BOP: Benchmark for 6D Object Pose Estimation
* 2020: Deep Learning Based Segmentation of Breast Lesions in DCE-MRI
Includes: Vidal, J.[Josep] Vidal, J.[Javier] Vidal, J. Vidal, J.[Joel]

Vidal, J.A.[Joseph A.] * 2010: Multi-institutional Collaboration in Delivery of Team-Project-Based Computer Graphics Studio Courses

Vidal, J.J. * 1996: Comparison of real and computer-simulated clustered microcalcifications on digital mammograms. ROC study
* 2003: Embedded wavelet region-based coding methods applied to digital mammography
* 2003: Region-based wavelet coding methods for digital mammography
* 2003: Region-based wavelet coding methods for digital mammography

Vidal, L.[Luciano] * 2020: Backward Adaptive Brightness Temperature Threshold Technique (BAB3T): A Methodology to Determine Extreme Convective Initiation Regions Using Satellite Infrared Imagery

Vidal, M. * 2013: Motion Scaling for High-Performance Driving Simulators
* 2020: Barrier and Guardrail Extraction and Classification From Point Clouds
* 2020: Model-Assisted Bird Monitoring Based on Remotely Sensed Ecosystem Functioning and Atlas Data
* 2024: Cost-Efficient Multi-GNSS Station with Real-Time Transmission for Geodynamics Applications
Includes: Vidal, M. Vidal, M.[María] Vidal, M.[Maurin]

Vidal, M.L.A.[Marcio Luiz A.] * 2012: Sorted dominant local color for searching large and heterogeneous image databases
* 2015: signature-based bag of visual words method for image indexing and search, A
Includes: Vidal, M.L.A.[Marcio Luiz A.] Vidal, M.L.A.[Márcio Luiz A.]

Vidal, M.T.[Mireya Tovar] * 2021: Inferential Rules for Identifying Answers in TOEFL Texts

Vidal, N.[Naiara] * 2022: Multi-Objective Genetic Algorithm for Optimizing an ELM-Based Driver Distraction Detection System

Vidal, P. * 2018: Optimization Methods for In-Line Holography
* 2024: FRCSyn Challenge at WACV 2024: Face Recognition Challenge in the Era of Synthetic Data
Includes: Vidal, P. Vidal, P.[Pedro]

Vidal, P.L.[Placido L.] * 2022: Pulmonary-Restricted COVID-19 Informative Visual Screening Using Chest X-ray Images from Portable Devices
Includes: Vidal, P.L.[Placido L.] Vidal, P.L.[Plácido L.]

Vidal, P.P.[Pierre Paul] * 2019: Data Set for the Study of Human Locomotion with Inertial Measurements Units, A
* 2019: Local Assessment of Statokinesigram Dynamics in Time: An in-Depth Look at the Scoring Algorithm
* 2024: Arm-CODA: A Data Set of Upper-limb Human Movement During Routine Examination
Includes: Vidal, P.P.[Pierre Paul] Vidal, P.P.[Pierre-Paul]

Vidal, R. * 2000: Kruppa Equation Revisited: its Renormalization and Degeneracy
* 2001: Optimal Motion Estimation from Multiview Normalized Epipolar Constraint
* 2002: Infinitesimal motion estimation from multiple central panoramic views
* 2002: Segmentation of dynamic scenes from image intensities
* 2002: Structure from Planar Motions with Small Baselines
* 2003: Generalized Principal Component Analysis (GPCA)
* 2003: Optimal segmentation of dynamic scenes from two perspective views
* 2004: Minimum Effective Dimension for Mixtures of Subspaces: A Robust GPCA Algorithm and its Applications
* 2004: Motion segmentation with missing data using powerfactorization and GPCA
* 2004: Multibody Trifocal Tensor: Motion Segmentation from 3 Perspective Views, The
* 2004: new GPCA algorithm for clustering subspaces by fitting, differentiating and dividing polynomials, A
* 2004: Rank Conditions on the Multiple-View Matrix
* 2004: Tracking of Points in a Calibrated and Noisy Image Sequence
* 2004: Unified Algebraic Approach to 2-D and 3-D Motion Segmentation, A
* 2005: Closed Form Solution to Direct Motion Segmentation, A
* 2005: Generalized Principal Component Analysis (GPCA)
* 2005: Optical Flow Estimation and Segmentation of Multiple Moving Dynamic Textures
* 2006: Algebraic Methods for Direct and Feature Based Registration of Diffusion Tensor Images
* 2006: Bottom up Algebraic Approach to Motion Segmentation, A
* 2006: Direct Segmentation of Multiple 2-D Motion Models of Different Types
* 2006: Nonrigid Shape and Motion from Multiple Perspective Views
* 2006: Segmenting Dynamic Textures with Ising Descriptors, ARX Models and Level Sets
* 2006: Space of Multibody Fundamental Matrices: Rank, Geometry and Projection, The
* 2006: Two-View Multibody Structure from Motion
* 2006: Unified Algebraic Approach to 2-D and 3-D Motion Segmentation and Estimation, A
* 2007: Benchmark for the Comparison of 3-D Motion Segmentation Algorithms, A
* 2007: Binet-Cauchy Kernels on Dynamical Systems and its Application to the Analysis of Dynamic Scenes
* 2007: DynamicBoost: Boosting Time Series Generated by Dynamical Systems
* 2007: Projective Factorization of Multiple Rigid-Body Motions
* 2007: Segmenting Motions of Different Types by Unsupervised Manifold Clustering
* 2008: Clustering and dimensionality reduction on Riemannian manifolds
* 2008: Distributed Face Recognition via Consensus on SE(3)
* 2008: Distributed pose averaging in camera networks via consensus on SE(3)
* 2008: Interactive image matting for multiple layers
* 2008: Interactive image segmentation via minimization of quadratic energies on directed graphs
* 2008: Motion segmentation via robust subspace separation in the presence of outlying, incomplete, or corrupted trajectories
* 2008: Multiframe Motion Segmentation with Missing Data Using PowerFactorization and GPCA
* 2008: Perspective Nonrigid Shape and Motion Recovery
* 2008: Segmenting Fiber Bundles in Diffusion Tensor Images
* 2008: Three-View Multibody Structure from Motion
* 2008: Video Registration Using Dynamic Textures
* 2009: Histograms of oriented optical flow and Binet-Cauchy kernels on nonlinear dynamical systems for the recognition of human actions
* 2009: Intrinsic mean shift for clustering on Stiefel and Grassmann manifolds
* 2009: nonparametric Riemannian framework for processing high angular resolution diffusion images (HARDI), A
* 2009: P-brush: Continuous valued MRFs with normed pairwise distributions for image segmentation
* 2009: Sparse subspace clustering
* 2009: View-invariant dynamic texture recognition using a bag of dynamical systems
* 2010: Motion Segmentation in the Presence of Outlying, Incomplete, or Corrupted Trajectories
* 2010: Unified Approach to Segmentation and Categorization of Dynamic Textures, A
* 2011: closed form solution to robust subspace estimation and clustering, A
* 2011: Distributed Computer Vision Algorithms
* 2011: Distributed computer vision algorithms through distributed averaging
* 2011: Estimation of Alpha Mattes for Multiple Image Layers
* 2011: hypothesize-and-bound algorithm for simultaneous object classification, pose estimation and 3D reconstruction from a single 2D image, A
* 2011: Robust classification using structured sparse representation
* 2011: Using global bag of features models in random fields for joint categorization and segmentation of objects
* 2011: Video Registration Using Dynamic Textures
* 2012: Group action induced distances for averaging and clustering Linear Dynamical Systems with applications to the analysis of dynamic scenes
* 2012: Image Priors for Image Deblurring with Uncertain Blur
* 2012: See all by looking at a few: Sparse modeling for finding representative objects
* 2012: Sequence of the most informative joints (SMIJ): A new representation for human skeletal action recognition
* 2012: Visual Dictionary Learning for Joint Object Categorization and Segmentation
* 2013: Berkeley MHAD: A comprehensive Multimodal Human Action Database
* 2013: Bio-inspired Dynamic 3D Discriminative Skeletal Features for Human Action Recognition
* 2013: Categorizing Dynamic Textures Using a Bag of Dynamical Systems
* 2013: Coarse-to-Fine Semantic Video Segmentation Using Supervoxel Trees
* 2013: Dynamic Template Tracking and Recognition
* 2013: Efficient Object Localization and Pose Estimation with 3D Wireframe Models
* 2013: Hierarchical Joint Max-Margin Learning of Mid and Top Level Representations for Visual Recognition
* 2013: Joint Dictionary and Classifier Learning for Categorization of Images Using a Max-margin Framework
* 2013: Latent Space Sparse Subspace Clustering
* 2013: Sparse Subspace Clustering: Algorithm, Theory, and Applications
* 2014: Kernel sparse subspace clustering
* 2014: Low rank subspace clustering (LRSC)
* 2014: Segmentation of High Angular Resolution Diffusion MRI Using Sparse Riemannian Manifold Clustering
* 2014: Sequence of the most informative joints (SMIJ): A new representation for human skeletal action recognition
* 2014: Sparse Dictionaries for Semantic Segmentation
* 2015: Dual Principal Component Pursuit
* 2015: Filtrated Spectral Algebraic Subspace Clustering
* 2015: Improved Model for Segmentation and Recognition of Fine-Grained Activities with Application to Surgical Training Tasks, An
* 2015: Learning Shared, Discriminative, and Compact Representations for Visual Recognition
* 2015: Moving Poselets: A Discriminative and Interpretable Skeletal Motion Representation for Action Recognition
* 2015: Structured Sparse Subspace Clustering: A unified optimization framework
* 2016: Guest Editorial: Special Section on CVPR 2014
* 2016: Oracle Based Active Set Algorithm for Scalable Elastic Net Subspace Clustering
* 2016: Scalable Sparse Subspace Clustering by Orthogonal Matching Pursuit
* 2016: Segmental Spatiotemporal CNNs for Fine-Grained Action Segmentation
* 2016: Temporal Convolutional Networks: A Unified Approach to Action Segmentation
* 2017: 3D Pose Regression Using Convolutional Neural Networks
* 2017: 3D Pose Regression Using Convolutional Neural Networks
* 2017: Curriculum Dropout
* 2017: Deep Moving Poselets for Video Based Action Recognition
* 2017: Filtrated Algebraic Subspace Clustering
* 2017: Global Optimality in Neural Network Training
* 2017: High angular resolution light field reconstruction with coded-aperture mask
* 2017: Provable Self-Representation Based Outlier Detection in a Union of Subspaces
* 2017: Structured Sparse Subspace Clustering: A Joint Affinity Learning and Subspace Clustering Framework
* 2017: Temporal Convolutional Networks for Action Segmentation and Detection
* 2018: Algebraic Clustering of Affine Subspaces
* 2018: Convolutional Networks for Object Category and 3D Pose Estimation from 2D Images
* 2018: End-to-End Fine-Grained Action Segmentation and Recognition Using Conditional Random Field Models and Discriminative Sparse Coding
* 2018: Multi-cell Detection and Classification Using a Generative Convolutional Model
* 2018: Scalable Exemplar-Based Subspace Clustering Algorithm for Class-Imbalanced Data, A
* 2019: Adaptive Online k-Subspaces with Cooperative Re-Initialization
* 2019: Classifying and Comparing Approaches to Subspace Clustering with Missing Data
* 2019: Global Optimality in Separable Dictionary Learning with Applications to the Analysis of Diffusion MRI
* 2019: Is an Affine Constraint Needed for Affine Subspace Clustering?
* 2020: CompactNets: Compact Hierarchical Compositional Networks for Visual Recognition
* 2020: On the Regularization Properties of Structured Dropout
* 2020: Representation Learning on Visual-Symbolic Graphs for Video Understanding
* 2020: Robust Homography Estimation via Dual Principal Component Pursuit
* 2020: Special Issue on the Mathematical Foundations of Deep Learning in Imaging Science
* 2020: Structured Low-Rank Matrix Factorization: Global Optimality, Algorithms, and Applications
* 2021: Detection-based Approach to Multiview Action Classification in Infants, A
* 2021: Learning a Self-Expressive Network for Subspace Clustering
* 2022: Actor-Centric Tubelets for Real-Time Activity Detection in Extended Videos
* 2022: Analysis and Extensions of Adversarial Training for Video Classification
* 2022: ARCS: Accurate Rotation and Correspondence Search
* 2022: Facial Tic Detection in Untrimmed Videos of Tourette Syndrome Patients
* 2022: Fastest L_1,inf Prox in the West, The
* 2022: Self-Representation Based Unsupervised Exemplar Selection in a Union of Subspaces
* 2022: Semidefinite Relaxations of Truncated Least-Squares in Robust Rotation Search: Tight or Not
* 2022: Weakly-Supervised Generation and Grounding of Visual Descriptions with Conditional Generative Models
* 2023: Clustering-based Domain-Incremental Learning
* 2023: Interpretable by Design: Learning Predictors by Composing Interpretable Queries
* 2023: Learning Graph Variational Autoencoders with Constraints and Structured Priors for Conditional Indoor 3D Scene Generation
* 2023: On the Convergence of IRLS and Its Variants in Outlier-Robust Estimation
* 2023: ProVLA: Compositional Image Search with Progressive Vision-Language Alignment and Multimodal Fusion
* 2024: Semantic-aware Video Representation for Few-shot Action Recognition
Includes: Vidal, R. Vidal, R.[Rene] Vidal, R.[René]
129 for Vidal, R.

Vidal, R.G.[Rosaura G.] * 1900: UG^2: a Video Benchmark for Assessing the Impact of Image Restoration and Enhancement on Automatic Visual Recognition
* 2018: UG^2: a Video Benchmark for Assessing the Impact of Image Restoration and Enhancement on Automatic Visual Recognition

Vidal, S.F.[Sara Fernandez] * 2000: Object Representation and Comparison Inferred from Its Medial Axis

Vidal, T.[Thibaut] * 2019: HG-means: A scalable hybrid genetic algorithm for minimum sum-of-squares clustering
* 2021: Assortative-Constrained Stochastic Block Models
* 2021: PILS: Exploring high-order neighborhoods by pattern mining and injection
* 2024: Community detection in the stochastic block model by mixed integer programming
* 2024: Regularization and optimization in model-based clustering

Vidal, T.H.G.[Thomas H. G.] * 2023: DirecTES: A Direct Method for Land and Sea Surface Temperature and Emissivity Separation for Thermal Infrared Sensors: Application to TRISHNA and ECOSTRESS

Vidal, V.[Vincent] * 2011: Combinatorial mesh optimization
* 2015: Multiple reconstruction and dynamic modeling of 3D digital objects using a morphing approach
* 2018: Joint Estimation of Local Variance and Local Regularity for Texture Segmentation. Application to Multiphase Flow Characterization
* 2023: Progressive Compression of Triangle Meshes
Includes: Vidal, V.[Vincent] Vidal, V.

Vidal, X.R.F. * 2019: SID4VAM: A Benchmark Dataset With Synthetic Images for Visual Attention Modeling

Vidale, M. * 2017: Pansharpening Techniques to Detect Mass Monument Damaging in Iraq

Vidales Basurto, C.A. * 2017: Statistical Properties of Marine Surface Slopes From Its Glitter Patterns: The 1-D Case
* 2018: Statistical Properties of Marine Surface Slopes Using Glitter Patterns: The 2-D Case
Includes: Vidales Basurto, C.A. Vidales-Basurto, C.A.

VidalMata, R.G.[Rosaura G.] * 2021: Report on UG2+ challenge Track 1: Assessing algorithms to improve video object detection and classification from unconstrained mobility platforms

Vidalon, J.E.Y.[Jose Elias Yauri] * 2016: Brazilian Sign Language Recognition Using Kinect
Includes: Vidalon, J.E.Y.[Jose Elias Yauri] Vidalón, J.E.Y.[José Elías Yauri]

Vidanaarachchi, R. * 2015: Quantitative and Qualitative Evaluation of Performance and Robustness of Image Stitching Algorithms

Vidanapathirana, J.[Jayan] * 2020: Tracking and frame-rate enhancement for real-time 2D human pose estimation

Vidanapathirana, M.[Madhawa] * 2021: Plan2Scene: Converting Floorplans to 3D Scenes

Vidanpathirana, M.[Madhawa] * 2020: Tracking and frame-rate enhancement for real-time 2D human pose estimation

Vidard, A. * 2015: Dealing whith occultation when accounting for observation error correlation in a wavelet space
* 2017: Level-Set-Based Image Assimilation Method: Potential Applications for Predicting the Movement of Oil Spills, A

Vidarsson, L. * 2007: T2- Selective Magnetization Preparation Pulses

Vidarte, J.D.T.[Jose D. T.] * 2021: First Order Locally Orderless Registration
Includes: Vidarte, J.D.T.[Jose D. T.] Vidarte, J.D.T.[José D. T.]

Vidas, S. * 2011: Exploration of Feature Detector Performance in the Thermal-Infrared Modality, An
* 2012: Hand-held monocular SLAM in thermal-infrared
* 2013: Ad Hoc Radiometric Calibration of a Thermal-Infrared Camera
* 2014: Forecasting Events Using an Augmented Hidden Conditional Random Field
* 2016: Practical Infrared Visual Odometry
Includes: Vidas, S. Vidas, S.[Stephen]

Vidaurre, C. * 2024: Supervised penalty-based aggregation applied to motor-imagery based brain-computer-interface

Vidaurre, R. * 2019: BRDF Estimation of Complex Materials with Nested Learning

Index for "v"