Sanfelin, A.
* 2002: 3d real-time head tracking fusing color histograms and stereovision
Sanfeliu, A.
* 1900: Structural Pattern Analysis
* 1983: Distance Measure between Attributed Relational Graphs for Pattern Recognition, A
* 1986: Structural Similarity Measures for Classifying 2D and 3D Partially Hidden, Occluded and Deformed Objects
* 1987: Application of a Graph Distance Measure to the Classification of muscle Tissue Patterns, An
* 1988: architecture based on hybrid systems for analyzing 3D industrial scenes, An
* 1992: Sensibility, Relative Error and Error Probability of Projective Invariants of Planar Surfaces of 3D Objects
* 1992: Syntactic and Structural Methods in Document Image Analysis
* 1996: Learning Bidimensional Context Dependent Models Using a Context Sensitive Language
* 1996: Learning of context-sensitive languages described by augmented regular expressions
* 1997: Function-described graphs applied to 3D object representation
* 1997: Recognition and learning of a class of context-sensitive languages described by augmented regular expressions
* 1997: TC2: Structural and Syntactic Pattern-Recognition: Aims, Scope, History and Activities
* 1998: Low Cost Architecture for Structure Measure Distance Computation
* 2000: Clustering of Attributed Graphs and Unsupervised Synthesis of Function-described Graphs
* 2000: Colour Image Segmentation Solving Hard-constraints on Graph Partitioning Greedy Algorithms
* 2000: Efficient Algorithms for Matching Attributed Graphs and Function-described Graphs
* 2000: Integration of Perceptual Grouping and Depth
* 2002: Concurrent map building and localization with landmark validation
* 2002: Graph-based representations and techniques for image processing and image analysis
* 2002: Modelling and recognising 3D-objects described by multiple views using function-described graphs
* 2002: New approaches for colour histogram adaptation in face tracking tasks
* 2003: Function-described graphs for modelling objects represented by sets of attributed graphs
* 2003: Learning and recognising 3d models represented by multiple views by means of methods based on random graphs
* 2004: Distance between 2d-scenes based on oriented matroid theory
* 2004: Fusion of a Multiple Hypotheses Color Model and Deformable Contours for Figure Ground Segmentation in Dynamic Environments
* 2004: Integration of shape and a multihypotheses fisher color model for figure-ground segmentation in non-stationary environments
* 2005: approach of visual motion analysis, An
* 2005: Evaluation of Distances Between Color Image Segmentations
* 2005: Framework to Integrate Particle Filters for Robust Tracking in Non-stationary Environments, A
* 2005: Integration of Conditionally Dependent Object Features for Robust Figure/Background Segmentation
* 2005: Matching Attributed Graphs: 2nd-Order Probabilities for Pruning the Search Tree
* 2005: New Color Constancy Algorithm Based on the Histogram of Feasible Mappings, A
* 2005: Synthesis of Median Spectral Graph
* 2006: Computation of Rotation Local Invariant Features using the Integral Image for Real Time Object Detection
* 2006: Fast and Exact Modulo-Distance Between Histograms, A
* 2006: Matching Images Features in a Wide Base Line with ICA Descriptors
* 2006: Orientation Invariant Features for Multiclass Object Recognition
* 2006: Signatures versus histograms: Definitions, distances and algorithms
* 2006: Target Dependent Colorspace for Robust Tracking, A
* 2006: Vision-Based Robot Positioning by an Exact Distance Between Histograms
* 2006: Visually Significant Dynamics for Watershed Segmentation
* 2007: Integration of deformable contours and a multiple hypotheses Fisher color model for robust tracking in varying illuminant environments
* 2007: New Algorithm to Compute the Distance Between Multi-dimensional Histograms, A
* 2007: Robust Color Contour Object Detection Invariant to Shadows
* 2007: Unidimensional Multiscale Local Features for Object Detection Under Rotation and Mild Occlusions
* 2008: Dependent Multiple Cue Integration for Robust Tracking
* 2008: Pattern recognition in interdisciplinary perception and intelligence
* 2009: Local Boosted Features for Pedestrian Detection
* 2010: Action Selection for Single-Camera SLAM
* 2010: Comparative Analysis for Detecting Objects Under Cast Shadows in Video Images
* 2010: Computing the Barycenter Graph by Means of the Graph Edit Distance
* 2010: Conductance Electrical Model for Representing and Matching Weighted Undirected Graphs, A
* 2010: Discriminant and Invariant Color Model for Tracking under Abrupt Illumination Changes
* 2010: Efficient rotation invariant object detection using boosted Random Ferns
* 2010: Shared Random Ferns for Efficient Detection of Multiple Categories
* 2011: Detection Performance Evaluation of Boosted Random Ferns
* 2011: Efficient 3D Object Detection using Multiple Pose-Specific Classifiers
* 2012: Bootstrapping Boosted Random Ferns for discriminative and efficient object classification
* 2012: Compact Form of the Pseudo-Inverse Matrix in the Approximation of a Star Graph Using the Conductance Electrical Model (CEM)
* 2012: Online human-assisted learning using Random Ferns
* 2012: Probabilistic invariant image representation and associated distance measure
* 2012: Spatiotemporal Descriptor for Wide-Baseline Stereo Reconstruction of Non-rigid and Ambiguous Scenes
* 2013: Dense Segmentation-Aware Descriptors
* 2014: Bayesian Human Motion Intentionality Prediction in urban environments
* 2014: Segmentation-Aware Deformable Part Models
* 2015: Combining where and what in change detection for unsupervised foreground learning in surveillance
* 2015: Multimodal Object Recognition Using Random Clustering Trees
* 2016: Filtering graphs to check isomorphism and extracting mapping by using the Conductance Electrical Model
* 2016: Interactive multiple object learning with scanty human supervision
* 2017: Joint coarse-and-fine reasoning for deep optical flow
* 2018: Boosted Random Ferns for Object Detection
* 2018: GANimation: Anatomically-Aware Facial Animation from a Single Image
* 2018: Geometry-Aware Network for Non-rigid Shape Prediction from a Single View
* 2018: Hallucinating Dense Optical Flow from Sparse Lidar for Autonomous Vehicles
* 2018: Unsupervised Person Image Synthesis in Arbitrary Poses
* 2019: 3DPeople: Modeling the Geometry of Dressed Humans
* 2019: Online learning and detection of faces with low human supervision
* 2020: GANimation: One-Shot Anatomically Consistent Facial Animation
* 2021: Body Size and Depth Disambiguation in Multi-Person Reconstruction from Single Images
* 2021: Dual-Branch CNNs for Vehicle Detection and Tracking on LiDAR Data
Includes: Sanfeliu, A. Sanfeliu, A.[Alberto] Sanfeliu, A.[Albert]
80 for Sanfeliu, A.
Sanfeliu, A.F.
* 2003: Forest fire scar detection in the boreal forest with multitemporal spot-vegetation data
Sanfilippo, G.
* 2019: Hbim for The Surveying, Analysis and Restoration of The Saint John The Theologian Cathedral in Nicosia (Cyprus)
Sanfilippo, R.
* 2012: Completely Automated Multiresolution Edge Snapper: A New Technique for an Accurate Carotid Ultrasound IMT Measurement: Clinical Validation and Benchmarking on a Multi-Institutional Database
Sanford, C.W.[Carl William]
* 2007: Real-time multi-stage infrared image-based tracking system
Sanford, J.P.
* 1985: Technique for Encoding Lines and Regions in Engineering Drawings, A
* 1988: Spline-Based Recognition of Straight Lines and Curves in Engineering Line Drawings
Includes: Sanford, J.P. Sanford, J.P.[J. Patrick]
Sanford, M.
* 2012: Combined Use of Airborne Lidar and DBInSAR Data to Estimate LAI in Temperate Mixed Forests
Sanford, R.
* 2020: Actor-Transformers for Group Activity Recognition
* 2020: Group Activity Detection from Trajectory and Video Data in Soccer
Sanford, T.
* 2020: Generalizing Deep Learning for Medical Image Segmentation to Unseen Domains via Deep Stacked Transformation
* 2022: Shadow-Consistent Semi-Supervised Learning for Prostate Ultrasound Segmentation
Includes: Sanford, T. Sanford, T.[Thomas]
Sanford, T.H.
* 2021: Multi-Domain Image Completion for Random Missing Input Data
Sanford, W.E.[Ward E.]
* 2017: Combining Remote Sensing and Water-Balance Evapotranspiration Estimates for the Conterminous United States
Sanfourche, M.
* 2004: On the choice of the goodness-to-fit term for multibaseline stereo-vision
* 2005: Height Estimation using Aerial Side Looking Image Sequences
* 2008: Dense height map estimation from oblique aerial image sequences
* 2015: Absolute geo-localization thanks to Hidden Markov Model and exemplar-based metric learning
* 2015: Exemplar based metric learning for robust visual localization
* 2016: Prediction-Correction Approach for Real-Time Optical Flow Computation Using Stereo, A
Includes: Sanfourche, M. Sanfourche, M.[Martial]