Kittaka, T.
* 2018: Real-Time Registration of RGB-D Image Pair for See-Through System
Kittaneh, O.[Omar]
* 2018: Deriving scale normalisation factors for a GLoG detector
Kittel, C.M.M.[Cecile M.M.]
* 2021: Optical and SAR Based Fusion Approach for Mapping Surface Water Dynamics over Mainland China, An
Kittenplon, Y.[Yair]
* 2021: FlowStep3D: Model Unrolling for Self-Supervised Scene Flow Estimation
* 2022: Towards Weakly-Supervised Text Spotting using a Multi-Task Transformer
* 2023: Towards Models that Can See and Read
Kittens, N.[Nicholas]
* 2013: Part Segmentation of Visual Hull for 3D Human Pose Estimation
Kittipanya Ngam, P.
* 2002: Comparing Variations on the Active Appearance Model Algorithm
* 2006: effect of texture representations on AAM performance, The
* 2010: HOG-Based Descriptors on Rotation Invariant Human Detection
Includes: Kittipanya Ngam, P. Kittipanya-Ngam, P. Kittipanya-Ngam, P.[Panachit]
Kittisuwan, P.
* 2017: Textural Image Denoising Using Gumbel Random Vectors in Gaussian Noise
* 2018: Textural Region Denoising: Application in Agriculture
Includes: Kittisuwan, P. Kittisuwan, P.[Pichid]
Kittitornkun, S.
* 2000: Blocking Artifact Free Inverse Discrete Cosine Transform
* 2001: Frame-level pipelined motion estimation array processor
* 2009: PAMELA: Pattern Matching Engine with Limited-Time Update for NIDS/NIPS
Includes: Kittitornkun, S. Kittitornkun, S.[Surin]
Kittle, D.[David]
* 2013: Coded Hyperspectral Imaging and Blind Compressive Sensing
Kittler, H.
* 2001: Automated melanoma recognition
Kittler, J.V.[Josef V.]
* 1973: new approach to feature selection based on the Karhunen-Loeve expansion, A
* 1976: locally sensitive method for cluster analysis, A
* 1979: Comments on single-link characteristics of a mode-seeking clustering algorithm
* 1980: Automatic inspection by lots in the presence of classification errors
* 1980: Probability Distribution of the Conditional Classification Error, The
* 1981: efficient estimator of pattern recognition system error probability, An
* 1982: Pattern Recognition Theory and Applications
* 1982: Pattern Recognition: A Statistical Approach
* 1982: Statistical Properties of Error Estimators in Performance Assessment of Recognition Systems
* 1983: Absorption Edge Detector, An
* 1983: Effect of Pixel Correlations on Class Separability, The
* 1983: Grey Level Edge Thinning: A New Method
* 1983: Magnitude Accuracy of the Template Edge Detector, The
* 1983: On the Accuracy of the Sobel Edge Detector
* 1984: Automatic Thresholding Algorithm and Its Performance, An
* 1984: Contextual Classification of Multispectral Pixel Data
* 1984: Contextual Decision Rules for Objects in Lattice Configurations
* 1984: Local ordered grey levels as an aid to corner detection
* 1985: On Threshold Selection Using Clustering Criteria
* 1985: Relaxation Labelling Algorithms: A Review
* 1985: Threshold Selection Based on a Simple Image Statistic
* 1986: Compatibility and Support Functions in Probabilistic Relaxation
* 1986: Feature Selection and Extraction
* 1986: Minimum Error Thresholding
* 1986: On Compatibility and Support Functions in Probabilistic Relaxation
* 1987: Adaptive Hough Transform, The
* 1987: Averaging Edge Detector, An
* 1987: Contextual Decision Rule for Image Analysis
* 1987: Identification of Fringe Minima in Electronic Speckle Pattern Images
* 1988: Optimality of reassignment rules in dynamic clustering
* 1988: Survey of the Hough Transform, A
* 1989: Combining Evidence in Probabilistic Relaxation
* 1989: Detecting Partially Occluded Ellipses Using the Hough Transform
* 1989: Hierarchical Approach to Line Extraction, A
* 1990: Comparative Study of Hough Transform Methods for Circle Finding
* 1990: differential method for simultaneous estimation of rotation, change of scale and translation, A
* 1990: Discrete Relaxation
* 1990: Edge-Labeling Using Dictionary-Based Relaxation
* 1990: Hierarchical Approach to Line Extraction Based on the Hough Transform, A
* 1990: Hypothesis Testing: A Framework for Analysing and Optimising Hough Transform Performance
* 1990: Label Error Process for Discrete Relaxation, A
* 1990: Robust estimation of shape parameters
* 1991: Adaptive Estimation of Hysteresis Thresholds
* 1991: Analysis of Straight Homogeneous Generalized Cylinders under Perspective Projection
* 1991: Depth Data Segmentation Using Robust Estimation in a Hierarchical Data Structure
* 1991: Heuristically Guided Polygon Finding
* 1991: Hierarchical Evidence Combining Edge Detection, A
* 1991: Low-Level Grouping of Straight Line Segments
* 1991: Optimal Edge Detectors for Ramp Edges
* 1991: Supervised Segmentation Using a Multiresolution Data Representation
* 1992: Contextual Junction Finder
* 1992: Formal Definition of the Hough Transform: Properties and Relationships, A
* 1992: Generalised Hough Transform in Object Recognition
* 1992: Hough Transform Algorithm with a 2D Hypothesis-Testing Kernel, A
* 1992: Matching and Recognition of Road Networks from Aerial Images
* 1992: Multiresolution Edge Labelling Using Hierarchical Relaxation
* 1992: Multistage Pattern Recognition with Reject Option
* 1992: On Computing the Next Look Camera Parameters in Active Vision
* 1992: On Local Linear Transform and Gabor Filter Representation of Texture
* 1992: Recognizing polyhedral objects from a single perspective view
* 1992: Relaxational Refinement of Intensity Ridges
* 1992: Robust Method of Edge Detection
* 1992: Texture Defect Detection: A Review
* 1992: Vanishing Point Detection
* 1993: Accurate line parameter estimation using a Hough transform algorithm and focus of attention
* 1993: Accurate Line Parameters from an Optimising Hough Transform for Vanishing Point Detection
* 1993: Analysis of the Max-Min Approach to Feature Selection and Ordering, An
* 1993: Automatic Machine Learning of Decision Rules for Classification Problems in Image Analysis
* 1993: Automatic Registration of Aerial Photographs and Digitised Maps
* 1993: Automatic Thresholding for Grey Level Corner Detectors
* 1993: Bayesian Interpretation for the Hopfield Network, A
* 1993: Colour Texture Classification Using Features from Colour Histogram
* 1993: Colour-Based Semantic Line Labelling
* 1993: Combining Evidence in Dictionary Based Probabilistic Relaxation
* 1993: Contextual Postprocessing for Line Detection
* 1993: Detection of Specified Class of Cover in Landsat Imagery Using Features from Colour Histogram
* 1993: Estimation of Complex Multimodal Motion: An Approach Based on Robust Statistics and Hough Transform
* 1993: Generation, Verification and Localisation of Object Hypotheses based on Colour
* 1993: Gradient-Based Method For General Motion Estimation And Segmentation, A
* 1993: Hough Transform Algorithm with a 2D Hypothesis-Testing Kernel, A
* 1993: Junction Detection Using Probabilistic Relaxation
* 1993: Learning About A Scene Using an Active Vision System
* 1993: Morphological Approach to the Generalised 2-Stage Stock-Cutting Problem, A
* 1993: Optimisation Approach to Improving the Accuracy of the Hough Transform: Plane Orientations from Skew Symmetry, An
* 1993: Probabilistic Relaxation for Matching Problems in Computer Vision
* 1993: Recognition of Polyhedral Objects Using Triangle Pair Features
* 1993: Recognizing polyhedral objects from a single perspective view
* 1993: Scene Interpretation Module For An Active Vision System, A
* 1993: Stereo Correspondence from Junctions
* 1993: Supervised Segmentation Using a Multiresolution Data Representation
* 1993: Vanishing Point Detection
* 1994: Color Texture Analysis Using Color Histogram
* 1994: Detection of Defects in Colour Texture Surfaces
* 1994: Estimating Angles and Curvature Features in Grey Scale Images
* 1994: Estimation of Complex Multimodal Motion: An Approach Based on Robust Statistics and Hough Transform
* 1994: Floating Search Methods for Feature Selection with Nonmonotonic Criterion Functions
* 1994: Floating Search Methods in Feature-Selection
* 1994: Hypothesis Testing: A Framework for Analysing and Optimizing Hough Transform Performance
* 1994: Illumination Invariant Colour Recognition
* 1994: Illumination Invariant Colour Recognition
* 1994: Location of Objects in a Cluttered Scene Using Probabilistic Relaxation
* 1994: Matching of Road Segments Using Probabilistic Relaxation: A Hierarchical Approach
* 1994: Matching of Road Segments Using Probabilistic Relaxation: Reducing the Computational Requirements
* 1994: MFT Based Discrete Relaxation for Matching High Order Relational Structures
* 1994: Mixed Pixel Classification in Remote Sensing
* 1994: Multiresolution Motion Segmentation
* 1994: Non-Iterative Contextual Correspondence Matching
* 1994: Performance Measure for Boundary Detection Algorithms, A
* 1994: Projective Geometry Based Image Reconstruction: Limitations and Applicability Constraints
* 1994: Recognition of Cylindrical Objects Using Occluding Boundaries Obtained from Colour Based Segmentation
* 1994: Robust Motion Analysis
* 1994: Robust Motion Estimation and Multistage VQ for Sequence Compression
* 1994: Robust Skeletonisation and Object Recognition from Grey Images
* 1994: Simultaneous Learning of Decision Rules and Important Attributes for Classification Problems in Image-Analysis
* 1994: Using Focus of Attention with the Hough Transform for Accurate Line Parameter-Estimation
* 1995: Advances in the statistical methodology for the selection of image descriptors for visual pattern representation and classification
* 1995: Automatic Grading of Textured Ceramic Tiles
* 1995: Color-Based Object Recognition under Spectrally Nonuniform Illumination
* 1995: Combining symbolic with numeric attributes in multi-class object recognition problems
* 1995: Constraining probabilistic relaxation with symbolic attributes
* 1995: Estimation of curvature and tangent direction by median filtered differencing
* 1995: Feature Selection Based on Divergence for Empirical Class Densities
* 1995: Feature Selection Based on the Approximation of Class Densities by Finite Mixtures of Special Type
* 1995: Intentional Control of Camera Look Direction and Viewpoint in an Active Vision System
* 1995: Interest Operator Based on Perceptual Grouping, An
* 1995: Modelling Compatibility Coefficient Distributions for Probabilistic Feature-Labelling Schemes
* 1995: Motion Based Image Segmentation for Video Coding
* 1995: Motion Compensation: The Selection of Optimal Motion Estimation Technique and Quantization Levels
* 1995: New Algorithm for Probabilistic Relaxation Based on the Baum Eagon Theorem, A
* 1995: On Combining the Hough Transform and Multiresolution MRFs for Robust Analysis of Complex Motion
* 1995: On Representation and Matching of Multi-Coloured Objects
* 1995: Probabilistic Relaxation as an Optimiser
* 1995: Recognition of two dimensional objects based on a novel generalized Hough transform method
* 1995: Region Growing: A New Approach
* 1995: Spatial and feature space clustering: Applications in image analysis
* 1995: Spectral and Rank Order Approaches to Texture Analysis
* 1995: Structural Matching in Computer Vision Using Probabilistic Relaxation
* 1995: Structural Matching in Computer Vision Using Probabilistic Relaxation
* 1995: Texture Crack Detection
* 1995: Variable Block Size Video Coding with Motion Prediction and Motion Segmentation
* 1996: Bayesian and Neural Networks for Geographic Information-Processing
* 1996: Combining Classifiers
* 1996: Complex Feedback Strategies for Hypothesis Generation and Verification
* 1996: Complexity analysis of RBF networks for Pattern Recognition
* 1996: Defect Detection in Random Color Textures
* 1996: Divergence Based Feature-Selection for Multimodal Class Densities
* 1996: Error propagation analysis for edge postprocessing
* 1996: Error Propagation for 2D-to-3D Matching with Application to Underwater Navigation
* 1996: Error Sensitivity Assessment of Vision Algorithms Based on Direct Error Propagation
* 1996: Exploiting Temporal Context in Vision-Based Navigation
* 1996: Fuzzy Non-Iterative ARG Labeling with Multiple Interpretations
* 1996: hybrid codec for very low bit rate video coding, A
* 1996: Iterative Morphology for Fault Detection in Stochastic Textures
* 1996: Labelling 2-D Geometric Primitives Using Probabilistic Relaxation: Reducing the Computational Requirements
* 1996: Minimum Complexity PDF Estimation for Correlated Data
* 1996: Mixed Pixel Classification with the Randomized Hough Transform
* 1996: Multi-pass Feedback Control for Object Recognition
* 1996: On Accurate and Robust Estimation of Fundamental Matrix
* 1996: Performance Measure for Boundary Detection Algorithms, A
* 1996: Probabilistic Feature-Labeling Schemes: Modeling Compatibility Coefficient Distributions
* 1996: Robust and Efficient Shape Indexing through Curvature Scale Space
* 1996: Techniques for the Interpretation of Thermal Paint Coated Samples
* 1996: Using Grammars for Scene Interpretation
* 1996: Video Coding Using Affine Motion Compensated Prediction
* 1997: Automatic Watershed Segmentation of Randomly Textured Color Images
* 1997: Combining Evidence in Personal Identity Verification Systems
* 1997: Comparison of Color Texture Attributes Selected by Statistical Feature Selection and Neural Network Methods, A
* 1997: Compensation of the Systematic Errors of the CCD Camera
* 1997: Fast Face Localisation and Verification
* 1997: Genetic Optimization of the Image Feature-Extraction Process
* 1997: Mixed Pixel Classification with Robust Statistics
* 1997: Mixture-Models with Higher-Order Moments
* 1997: new approach to computation of curvature scale space image for shape similarity retrieval, A
* 1997: Object Recognition Using a Tag
* 1997: Optimizing Line Finder Using a Hough Transform Algorithm, An
* 1997: Reliable Classification of Chrysanthemum Leaves Through Curvature Scale Space
* 1997: Robust Line-Segment Extraction Using Genetic Algorithms
* 1997: Robust Unmixing of Large Sets of Mixed Pixels
* 1997: Shape Similarity Retrieval Using a Height Adjustment Curvature Scale Space Image
* 1997: Strategies for Combining Classifiers Employing Shared and Distinct Pattern Representations
* 1997: Towards Optimal Zoom for Automatic Target Recognition
* 1997: Weighting Factors in Multiple Expert Fusion
* 1998: Choosing an Optimal Neural Network Size to aid a Search Through a Large Image Database
* 1998: Classification of Sets of Mixed Pixels with the Hypothesis-Testing Hough Transform
* 1998: Combining Classifiers: A Theoretical Framework
* 1998: Error Guided Design of a 3D Vision System
* 1998: Error Sensitivity Assessment of Vision Algorithms
* 1998: Histogram Based Segmentation in a Perceptually Uniform Color Space
* 1998: Hypothesis Selection for Scene Interpretation Using Grammatical Models of Scene Evolution
* 1998: Improved JPEG Coding for Remote Sensing
* 1998: Markov Random Field Approach for Interpreting Thermochromic Paint, A
* 1998: Model Complexity Validation for PDF Estimation Using Gaussian Mixtures
* 1998: Noniterative Probabilistic Method for Contextual Correspondence Matching, A
* 1998: Nonlinear Motion Estimation Using The Supercoupling Approach
* 1998: On Accurate and Robust Estimation of Fundamental Matrix
* 1998: On Combining Classifiers
* 1998: On the Correspondence Problem for Wide Angular Separation of Noncoplanar Points
* 1998: On the Foundations of Probabilistic Relaxation with Product Support
* 1998: Progressive Probabilistic Hough Transform
* 1998: Recognition Using Labelled Objects
* 1998: Region Growing: A New Approach
* 1998: Saliency-Based Robust Correlation for Real-time Face Registration and Verification
* 1998: Selection of Speaker Independent Feature for a Speaker Verification System
* 1998: Strategies for Weighted Combination of Classifiers Employing Shared and Distinct Pattern Representations
* 1998: Using background memory for efficient video coding
* 1998: Weighted Combination of Classifiers Employing Shared and Distinct Representations, A
* 1999: Adaptive texture representation methods for automatic target recognition
* 1999: Audio-Visual Person Verification
* 1999: Curvature Scale Space Image in Shape Similarity Retrieval
* 1999: Effective Implementation of Linear Discriminant Analysis for Face Recognition and Verification
* 1999: Experimental Evaluation of Expert Fusion Strategies
* 1999: Fast Face Localisation and Verification
* 1999: Feedback Control Strategies for Object Recognition
* 1999: Learning Salient Features For Real-Time Face Verification
* 1999: On Camera Calibration for Scene Model Acquisition and Maintenance Using an Active Vision System
* 1999: Progressive Probabilistic Hough Transform for Line Detection
* 1999: Shape representation and recognition based on invariant unary and binary relations
* 1999: Support Vector Machines for Face Authentication
* 1999: XM2VTSDB: The Extended M2VTS Database
* 2000: Adaptive Subspace Map for Texture Segmentation, The
* 2000: Colour Image Retrieval and Object Recognition Using the Multimodal Neighbourhood Signature
* 2000: Combining multiple classifiers by averaging or by multiplying?
* 2000: Comparative Study of Different Segmentation Approaches for Audio Track Indexing, A
* 2000: Comparison of Face Verification Results on the XM2VTS Database
* 2000: Coping with 3D Artifacts in Video Sequences
* 2000: Data and Decision Level Fusion of Temporal Information for Automatic Target Recognition
* 2000: Defining Quantisation Strategies and a Perceptual Similarity Measure for Texture-based Annotation and Retrieval
* 2000: Edge Postprocessing Using Probabilistic Relaxation
* 2000: Enhancing CSS-based shape retrieval for objects with shallow concavities
* 2000: Fast Unit Selection Algorithm for Neural Network Design
* 2000: Improving the Performance of the Product Fusion Strategy
* 2000: Learning Support Vectors for Face Verification and Recognition
* 2000: Multimodal Signature Method: An Efficiency and Sensitivity Study, The
* 2000: Object Recognition using the Invariant Pixel-Set Signature
* 2000: On Matching Scores for LDA-based Face Verification
* 2000: On the generalised stock-cutting problem
* 2000: Probabilistic PCA and ICA Subspace Mixture Models for Image Segmentation
* 2000: Probabilistic relaxation and the Hough transform
* 2000: Region-Based Object Recognition: Pruning Multiple Representations and Hypotheses
* 2000: Robust Detection of Lines Using the Progressive Probabilistic Hough Transform
* 2000: Using Gradient Information to Enhance the Progressive Probabilistic Hough Transform
* 2000: Video Shot Cut Detection using Adaptive Thresholding
* 2001: Detection and description of human running behaviour in sports video multimedia database
* 2001: Empirical evaluation of a calibration chart detector
* 2001: Face Identification and Verification via ECOC
* 2001: Face Verification Using Error Correcting Output Codes
* 2001: Face Verification via ECOC
* 2001: Generation of Semantic Cues for Sports Video Annotation
* 2001: Gradient based progressive probabilistic Hough transform
* 2001: On Matching Algorithms for the Recognition of Objects in Cluttered Background
* 2001: Real Time Segmentation of Lip Pixels for Lip Tracker Initialization
* 2001: Recognition of polyhedral objects using triplets of projected spatial edges based on a single perspective image
* 2001: Segmentation of Lip Pixels for Lip Tracker Initialisation
* 2001: Spatial clustering of pixels in the mouth area of face images
* 2001: Using contextual information for image retrieval
* 2002: active mesh based tracker for improved feature correspondences, An
* 2002: Automatic sports classification
* 2002: Colour-based model pruning for efficient ARG object recognition
* 2002: Colour-based object recognition for video annotation
* 2002: Combining face verification experts
* 2002: comparative study of two object recognition methods, A
* 2002: Component-based LDA Face Descriptor for Image Retrieval
* 2002: Elastic transformation of the image pixel grid for similarity based face identification
* 2002: Fast exhaustive robust matching
* 2002: Modelling and segmentation of lip area in face images
* 2002: Modified product fusion
* 2002: Multimodal Neighborhood Signature for Modeling Object Color Appearance and Applications in Object Recognition and Image Retrieval, The
* 2002: Orientation Correlation
* 2002: Recognising human running behaviour in sports video sequences
* 2002: Support object classifiers with rigid and elastic kernel functions for face identification
* 2002: Support Vector Machines for Face Authentication
* 2002: Using relaxation technique for region-based object recognition
* 2003: Application of Characteristic Function Method in Target Detection
* 2003: BANCA Database and Evaluation Protocol, The
* 2003: Comparative Study of Automatic Face Verification Algorithms on the BANCA Database, A
* 2003: Discriminant Analysis by Locally Linear Transformations
* 2003: Face description based on decomposition and combining of a facial space with LDA
* 2003: Face Verification Competition on the XM2VTS Database
* 2003: Face Verification Via Error Correcting Output Codes
* 2003: Hypotheses-Driven Affine Invariant Localization of Faces in Verification Systems
* 2003: Independent component analysis in a facial local residue space
* 2003: Locally Optimized RANSAC
* 2003: Morphologically Optimal Strategy for Classifier Combinaton: Multiple Expert Fusion as a Tomographic Process, A
* 2003: Multimedia System Architecture for Automatic Annotation of Sports Videos, A
* 2003: Multiple Classifier System Approach to Affine Invariant Object Recognition, A
* 2003: Sum versus vote fusion in multiple classifier systems
* 2003: Using a pictorial dictionary as a high level user interface for visual information retrieval
* 2004: Affine-invariant face detection and localization using GMM-based feature detector and enhanced appearance model
* 2004: analytical algorithm for determining the generalized optimal set of discriminant vectors, An
* 2004: comparison of photometric normalisation algorithms for face verification, A
* 2004: Decision Fusion for Face Authentication
* 2004: Decision Making in the LDA Space: Generalised Gradient Direction Metric
* 2004: Face Authentication Competition on the BANCA Database
* 2004: Face authentication test on the BANCA database
* 2004: Face verification system architecture using smart cards
* 2004: Fast Branch & Bound Algorithms for Optimal Feature Selection
* 2004: Hierarchical decision making scheme for sports video categorisation with temporal post-processing
* 2004: Independent component analysis in a local facial residue space for face recognition
* 2004: Mosaics from Arbitrary Stereo Video Sequences
* 2004: Multiple classifier combination for face-based identity verification
* 2004: Multiple Classifier System Approach to Model Pruning in Object Recognition
* 2004: new direct LDA (D-LDA) algorithm for feature extraction in face recognition, A
* 2004: New Kernel Direct Discriminant Analysis (KDDA) Algorithm for Face Recognition, A
* 2004: Performance versus Computational Complexity Trade-Off in Face Verification
* 2004: Periodic human motion description for sports video databases
* 2005: 3D Assisted Face Recognition: A Survey of 3D Imaging, Modelling and Recognition Approaches
* 2005: Component-based LDA face description for image retrieval and MPEG-7 standardisation
* 2005: Composite Support Vector Machines with Extended Discriminative Features for Accurate Face Detection
* 2005: Face Recognition Using Active Near-IR Illumination
* 2005: Fast robust correlation
* 2005: Feature-Based Affine-Invariant Localization of Faces
* 2005: Locally Linear Discriminant Analysis for Multimodally Distributed Classes for Face Recognition with a Single Model Image
* 2005: Memory Architecture and Contextual Reasoning Framework for Cognitive Vision, A
* 2005: Object Evidence Extraction Using Simple Gabor Features and Statistical Ranking
* 2005: Object recognition by symmetrised graph matching using relaxation labelling with an inhibitory mechanism
* 2005: Photometric Normalisation for Face Verification
* 2005: Scenario Based Performance Optimisation in Face Verification Using Smart Cards
* 2005: Tennis Ball Tracking Algorithm for Automatic Annotation of Tennis Match, A
* 2005: Unsupervised Symbol Grounding and Cognitive Bootstrapping in Cognitive Vision
* 2006: Accurate Face Localisation for Faces under Active Near-IR Illumination
* 2006: Ambient Illumination Variation Removal by Active Near-IR Imaging
* 2006: Comparative Study of Face Representations in the Frequency Domain, A
* 2006: Confidence Based Gating of Multiple Face Authentication Experts
* 2006: Database Size Effects on Performance on a Smart Card Face Verification System
* 2006: Design and Fusion of Pose-Invariant Face-Identification Experts
* 2006: Face Recognition Using Angular LDA and SVM Ensembles
* 2006: Feature selection based on the training set manipulation
* 2006: General Pose Face Recognition Using Frontal Face Model
* 2006: Gesture Spotting in Low-Quality Video with Features Based on Curvature Scale Space
* 2006: Illumination Insensitive Representation for Face Verification in the Frequency Domain, An
* 2006: Improving human activity detection by combining multi-dimensional motion descriptors with boosting
* 2006: Incremental Learning of Locally Orthogonal Subspaces for Set-based Object Recognition
* 2006: Information Fusion for Local Gabor Features Based Frontal Face Verification
* 2006: Learning Discriminative Canonical Correlations for Object Recognition with Image Sets
* 2006: Maximum A Posteriori Probability Viterbi Data Association Algorithm for Ball Tracking in Sports Video, A
* 2006: Novel Data Association Algorithm for Object Tracking in Clutter with Application to Tennis Video Analysis, A
* 2006: On Optimisation of Smart Card Face Verification Systems
* 2006: Performance Characterisation of Face Recognition Algorithms and Their Sensitivity to Severe Illumination Changes
* 2006: Photometric Normalisation for Component-based Face Verification
* 2006: Robust Player Gesture Spotting and Recognition in Low-Resolution Sports Video
* 2006: Visual Bootstrapping for Unsupervised Symbol Grounding
* 2007: 2D face pose normalisation using a 3D morphable model
* 2007: All Pairs Shortest Path Formulation for Multiple Object Tracking with Application to Tennis Video Analysis
* 2007: Discriminative Learning and Recognition of Image Set Classes Using Canonical Correlations
* 2007: Evaluation of point localisation and similarity fusion methods for gabor jet-based face verification
* 2007: Illumination Invariant Face Recognition: A Survey
* 2007: Improving Biometric Device Interoperability by Likelihood Ratio-based Quality Dependent Score Normalization
* 2007: Improving Stability of Feature Selection Methods
* 2007: Incremental Linear Discriminant Analysis Using Sufficient Spanning Set Approximations
* 2007: Introduction to the Special Issue on Biometrics: Progress and Directions
* 2007: Lip Contour Segmentation Using Kernel Methods and Level Sets
* 2007: Method for Estimating Authentication Performance over Time, with Applications to Face Biometrics, A
* 2007: Motion Compensation for Face Recognition Based on Active Differential Imaging
* 2007: Multi-scale Local Binary Pattern Histograms for Face Recognition
* 2007: Multispectral Local Binary Pattern Histogram for Component-based Color Face Verification
* 2007: Object Localisation Using Generative Probability Model for Spatial Constellation and Local Image Features
* 2007: On the Use of Log-Likelihood Ratio Based Model-Specific Score Normalisation in Biometric Authentication
* 2007: Predicting Biometric Authentication System Performance Across Different Application Conditions: A Bootstrap Enhanced Parametric Approach
* 2007: Quality Controlled Multimodal Fusion of Biometric Experts
* 2007: SVM-Based Selection of Colour Space Experts for Face Authentication
* 2008: Entropy-Based Approach to the Hierarchical Acquisition of Perception-Action Capabilities, An
* 2008: Estimation of Missing Values in Multimodal Biometric Fusion
* 2008: family of methods for quality-based multimodal biometric fusion using generative classifiers, A
* 2008: Feature condensing algorithm for feature selection
* 2008: Gesture spotting for low-resolution sports video annotation
* 2008: Image Feature Localization by Multiple Hypothesis Testing of Gabor Features
* 2008: Layered Data Association Using Graph-Theoretic Formulation with Application to Tennis Ball Tracking in Monocular Sequences
* 2008: On using error bounds to optimize cost-sensitive multimodal biometric authentication
* 2008: Selection and Fusion of Similarity Measure Based Classifiers Using Support Vector Machines
* 2008: Subsurface scattering deconvolution for improved NIR-visible facial image correlation
* 2009: 3-D assisted generative model for facial texture super-resolution, A
* 2009: 3D-Assisted Facial Texture Super-resolution
* 2009: Adaptive client-impostor centric score normalization: A case study in fingerprint verification
* 2009: Biometric Menagerie Index for Characterising Template/Model-Specific Variation, A
* 2009: Challenges and Research Directions for Adaptive Biometric Recognition Systems
* 2009: Designing a smart-card-based face verification system: Empirical investigation
* 2009: Face Recognition with LWIR Imagery Using Local Binary Patterns
* 2009: Face Verification Using Colour Kernels
* 2009: Face Video Competition
* 2009: Hierarchical Image Matching for Pose-invariant Face Recognition
* 2009: Influence of compression on 3D face recognition
* 2009: linear-complexity reparameterisation strategy for the hierarchical bootstrapping of capabilities within perception-action architectures, A
* 2009: Multiscale) Local Phase Quantisation histogram discriminant analysis with score normalisation for robust face recognition
* 2009: Pose-Invariant Face Matching Using MRF Energy Minimization Framework
* 2009: Robust Statistical Estimation Applied to Automatic Lip Segmentation
* 2009: Visual category recognition using Spectral Regression and Kernel Discriminant Analysis
* 2010: Ball event recognition using hmm for automatic tennis annotation
* 2010: Fusion of visible and synthesised near infrared information for face authentication
* 2010: Group-specific score normalization for biometric systems
* 2010: Lattice-Based Anomaly Rectification for Sport Video Annotation
* 2010: LP norm multiple kernel Fisher discriminant analysis for object and image categorisation
* 2010: Model and Score Adaptation for Biometric Systems: Coping With Device Interoperability and Changing Acquisition Conditions
* 2010: multimodal biometric test bed for quality-dependent, cost-sensitive and client-specific score-level fusion algorithms, A
* 2010: Multiscenario Multienvironment BioSecure Multimodal Database (BMDB), The
* 2010: On Combining Local DCT with Preprocessing Sequence for Face Recognition under Varying Lighting Conditions
* 2010: On design and optimization of face verification systems that are smart-card based
* 2010: On the Results of the First Mobile Biometry (MOBIO) Face and Speaker Verification Evaluation
* 2010: On-line Learning of Mutually Orthogonal Subspaces for Face Recognition by Image Sets
* 2010: Quality-Based Score Normalization With Device Qualitative Information for Multimodal Biometric Fusion
* 2010: Sparse representation of (Multiscale) histograms for face recognition robust to registration and illumination problems
* 2010: University of Surrey Visual Concept Detection System at ImageCLEF@ICPR: Working Notes, The
* 2010: University of Surrey Visual Concept Detection System at ImageCLEF@ICPR: Working Notes, The
* 2011: Augmented Kernel Matrix vs Classifier Fusion for Object Recognition
* 2011: Energy Normalization for Pose-Invariant Face Recognition Based on MRF Model Image Matching
* 2011: evaluation of bags-of-words and spatio-temporal shapes for action recognition, An
* 2011: Evaluation of face recognition system in heterogeneous environments (visible vs NIR)
* 2011: Face recognition using multi-scale local phase quantisation and Linear Regression Classifier
* 2011: Incremental Linear Discriminant Analysis Using Sufficient Spanning Sets and Its Applications
* 2011: Pose-invariant face recognition by matching on multi-resolution MRFs linked by supercoupling transform
* 2011: Transductive transfer learning for action recognition in tennis games
* 2012: Automatic annotation of court games with structured output learning
* 2012: Automatic face annotation by multilinear AAM with Missing Values
* 2012: Blur kernel estimation to improve recognition of blurred faces
* 2012: Differential Edit Distance: A Metric for Scene Segmentation Evaluation
* 2012: discriminative parametric approach to video-based score-level fusion for biometric authentication, A
* 2012: intrinsic coordinate system for 3D face registration, An
* 2012: Inverse random under sampling for class imbalance problem and its application to multi-label classification
* 2012: Multi-modal region selection approach for training object detectors
* 2012: Multilabel classification using heterogeneous ensemble of multi-label classifiers
* 2012: Resolution-Aware 3D Morphable Model
* 2012: Texture and shape in fluorescence pattern identification for auto-immune disease diagnosis
* 2012: Unified Framework for Biometric Expert Fusion Incorporating Quality Measures, A
* 2013: Multiscale Local Phase Quantization for Robust Component-Based Face Recognition Using Kernel Fusion of Multiple Descriptors
* 2013: Robust and Scalable Visual Category and Action Recognition System Using Kernel Discriminant Analysis With Spectral Regression, A
* 2013: user-specific and selective multimodal biometric fusion strategy by ranking subjects, A
* 2014: Adaptive Transductive Transfer Machine
* 2014: Automatic annotation of tennis games: An integration of audio, vision, and learning
* 2014: Domain Anomaly Detection in Machine Perception: A System Architecture and Taxonomy
* 2014: Dynamic Texture Recognition Using Multiscale Binarized Statistical Image Features
* 2014: Fast pose invariant face recognition using super coupled multiresolution Markov Random Fields on a GPU
* 2014: HEp-2 fluorescence pattern classification
* 2014: How many more images do we need? Performance prediction of bootstrapping for image classification
* 2014: Multilevel Chinese Takeaway Process and Label-Based Processes for Rule Induction in the Context of Automated Sports Video Annotation
* 2014: Robust Multi-Speaker Tracking via Dictionary Learning and Identity Modeling
* 2014: Transductive Transfer Machine
* 2014: user-specific and selective multimodal biometric fusion strategy by ranking subjects, A
* 2015: Algorithm to estimate biometric performance change over time
* 2015: Audio Assisted Robust Visual Tracking With Adaptive Particle Filtering
* 2015: Cascaded Collaborative Regression for Robust Facial Landmark Detection Trained Using a Mixture of Synthetic and Real Images With Dynamic Weighting
* 2015: Fitting 3D Morphable Face Models using local features
* 2015: Full ranking as local descriptor for visual recognition: A comparison of distance metrics on S_n
* 2015: Novel Markov Logic Rule Induction Strategy for Characterizing Sports Video Footage, A
* 2015: Random Cascaded-Regression Copse for Robust Facial Landmark Detection
* 2015: Report on the FG 2015 Video Person Recognition Evaluation
* 2015: When Face Recognition Meets with Deep Learning: An Evaluation of Convolutional Neural Networks for Face Recognition
* 2016: 3D Morphable Face Models and Their Applications
* 2016: BeamECOC: A local search for the optimization of the ECOC matrix
* 2016: Face Recognition Using a Unified 3D Morphable Model
* 2016: Generating commentaries for tennis videos
* 2016: Mean-Shift and Sparse Sampling-Based SMC-PHD Filtering for Audio Informed Visual Speaker Tracking
* 2016: SALIC: Social Active Learning for Image Classification
* 2017: 3D Morphable Models as Spatial Transformer Networks
* 2017: decision cognizant Kullback-Leibler divergence, A
* 2017: Dynamic Attention-Controlled Cascaded Shape Regression Exploiting Training Data Augmentation and Fuzzy-Set Sample Weighting
* 2017: Efficient 3D morphable face model fitting
* 2017: Face Detection, Bounding Box Aggregation and Pose Estimation for Robust Facial Landmark Localisation in the Wild
* 2017: Real-Time 3D Face Fitting and Texture Fusion on In-the-Wild Videos
* 2017: Special section: CIARP 2015
* 2018: Articulated motion and deformable objects
* 2018: Error sensitivity analysis of Delta divergence-a novel measure for classifier incongruence detection
* 2018: Evaluation of Dense 3D Reconstruction from 2D Face Images in the Wild
* 2018: Gaussian mixture 3D morphable face model
* 2018: Infrared and Visible Image Fusion using a Deep Learning Framework
* 2018: Multiple Manifolds Metric Learning with Application to Image Set Classification
* 2018: Non-negative Subspace Representation Learning Scheme for Correlation Filter Based Tracking
* 2018: Person Re-Identification with Vision and Language
* 2018: Riemannian kernel based Nyström method for approximate infinite-dimensional covariance descriptors with application to image set classification
* 2018: Robust Pedestrian Detection for Semi-automatic Construction of a Crowded Person Re-Identification Dataset
* 2018: Semi-supervised Adversarial Learning to Generate Photorealistic Face Images of New Identities from 3D Morphable Model
* 2018: Semi-supervised Hashing for Semi-Paired Cross-View Retrieval
* 2018: Sixth Visual Object Tracking VOT2018 Challenge Results, The
* 2018: Wing Loss for Robust Facial Landmark Localisation with Convolutional Neural Networks
* 2019: Discriminative Supervised Hashing for Cross-Modal Similarity Search
* 2019: Dual Attention MobDenseNet(DAMDNet) for Robust 3D Face Alignment
* 2019: Joint Group Feature Selection and Discriminative Filter Learning for Robust Visual Object Tracking
* 2019: Learning Adaptive Discriminative Correlation Filters via Temporal Consistency Preserving Spatial Feature Selection for Robust Visual Object Tracking
* 2019: Mining Hard Augmented Samples for Robust Facial Landmark Localization With CNNs
* 2019: More About Covariance Descriptors for Image Set Coding: Log-Euclidean Framework Based Kernel Matrix Representation
* 2019: Seventh Visual Object Tracking VOT2019 Challenge Results, The
* 2019: sparse regularized nuclear norm based matrix regression for face recognition with contiguous occlusion, A
* 2019: Sparse subspace clustering via smoothed LP minimization
* 2019: Spatial Residual Layer and Dense Connection Block Enhanced Spatial Temporal Graph Convolutional Network for Skeleton-Based Action Recognition
* 2019: VisDrone-SOT2019: The Vision Meets Drone Single Object Tracking Challenge Results
* 2020: accelerated correlation filter tracker, An
* 2020: Covariance descriptors on a Gaussian manifold and their application to image set classification
* 2020: Discriminative block-diagonal covariance descriptors for image set classification
* 2020: Learning Low-Rank and Sparse Discriminative Correlation Filters for Coarse-to-Fine Visual Object Tracking
* 2020: MDLatLRR: A Novel Decomposition Method for Infrared and Visible Image Fusion
* 2020: Noise-robust dictionary learning with slack block-Diagonal structure for face recognition
* 2020: Rectified Wing Loss for Efficient and Robust Facial Landmark Localisation with Convolutional Neural Networks
* 2020: Stacking Ensemble for Anomaly Based Client-Specific Face Spoofing Detection, A
* 2021: 2D progressive fusion module for action recognition
* 2021: Adaptive Channel Selection for Robust Visual Object Tracking with Discriminative Correlation Filters
* 2021: Adaptive Context-Aware Discriminative Correlation Filters for Robust Visual Object Tracking
* 2021: Angular Sparsemax for Face Recognition
* 2021: Client-specific anomaly detection for face presentation attack detection
* 2021: Complementary Discriminative Correlation Filters Based on Collaborative Representation for Visual Object Tracking
* 2021: Dynamic information enhancement for video classification
* 2021: Fast Discrete Cross-Modal Hashing Based on Label Relaxation and Matrix Factorization
* 2021: Flatter Loss for Bias Mitigation in Cross-dataset Facial Age Estimation, A
* 2021: Graph Embedding Multi-Kernel Metric Learning for Image Set Classification With Grassmannian Manifold-Valued Features
* 2021: Learning Alternating Deep-Layer Cascaded Representation
* 2021: MOON: Multi-hash codes joint learning for cross-media retrieval
* 2021: Ninth Visual Object Tracking VOT2021 Challenge Results, The
* 2021: Particle Swarm and Pattern Search Optimisation of An Ensemble of Face Anomaly Detectors
* 2021: Subspace Clustering via Joint Unsupervised Feature Selection
* 2021: Visual Semantic Information Pursuit: A Survey
* 2022: Developing a generic framework for anomaly detection
* 2022: Differentiable neural architecture learning for efficient neural networks
* 2022: Distribution Cognisant Loss for Cross-Database Facial Age Estimation With Sensitivity Analysis
* 2022: DreamNet: A Deep Riemannian Manifold Network for SPD Matrix Learning
* 2022: Face spoofing detection ensemble via multistage optimisation and pruning
* 2022: Graph2Net: Perceptually-Enriched Graph Learning for Skeleton-Based Action Recognition
* 2022: Novel Ground Metric for Optimal Transport-Based Chronological Age Estimation, A
* 2022: Robust Visual Object Tracking Via Adaptive Attribute-Aware Discriminative Correlation Filters
* 2022: Target-Cognisant Siamese Network for Robust Visual Object Tracking
* 2022: Tenth Visual Object Tracking VOT2022 Challenge Results, The
* 2022: Two-Stage Supervised Discrete Hashing for Cross-Modal Retrieval
* 2023: Action Probability Calibration for Efficient Naturalistic Driving Action Localization
* 2023: Constrained Structure Learning for Scene Graph Generation
* 2023: Deep Order-Preserving Learning With Adaptive Optimal Transport Distance
* 2023: Fast Self-Guided Multi-View Subspace Clustering
* 2023: GMML is All You Need
* 2023: Group Masked Model Learning for General Audio Representation
* 2023: Keep an eye on faces: Robust face detection with heatmap-Assisted spatial attention and scale-Aware layer attention
* 2023: LRRNet: A Novel Representation Learning Guided Fusion Network for Infrared and Visible Images
* 2023: Neural Belief Propagation for Scene Graph Generation
* 2023: NPT-Loss: Demystifying Face Recognition Losses With Nearest Proxies Triplet
* 2023: Toward Robust Visual Object Tracking With Independent Target-Agnostic Detection and Effective Siamese Cross-Task Interaction
* 2024: Deep Metric Learning on the SPD Manifold for Image Set Classification
* 2024: Distillation, Ensemble and Selection for Building a Better and Faster Siamese Based Tracker
* 2024: Edwin Hancock
* 2024: Feature enhancement and coarse-to-fine detection for RGB-D tracking
* 2024: Importance Weighted Structure Learning for Scene Graph Generation
* 2024: Motion Complement and Temporal Multifocusing for Skeleton-Based Action Recognition
* 2024: RAgE: Robust Age Estimation Through Subject Anchoring With Consistency Regularisation
* 2024: Scene adaptive mechanism for action recognition
Includes: Kittler, J.V.[Josef V.] Kittler, J.V. Kittler, J.V.[Joseph V.]
537 for Kittler, J.V.
Kitts, B.[Brendan]
* 2002: Large-scale Mining, Discovery and Visualization of WWW User Clickpaths
Kittur, P.[Priyanka]
* 2023: Review on Anti-Spoofing: Face Manipulation and Liveness Detection, A