Index for litt

Litt, A.H.[Arni H.] * 2023: Annual and Interannual Variability in the Diffuse Attenuation Coefficient and Turbidity in Urbanized Washington Lake from 2013 to 2022 Assessed Using Landsat-8/9

Litt, H.[Harold] * 2009: Estimating myocardial motion by 4D image warping
* 2010: Groupwise morphometric analysis based on high dimensional clustering
* 2011: Morphological Classification: Application to Cardiac MRI of Tetralogy of Fallot
* 2014: Regional Manifold Learning for Disease Classification
Includes: Litt, H.[Harold] Litt, H.

Litt, M.[Maria] * 1992: Method and apparatus for inspecting surfaces for contrast variations

Littidej, P.[Patiwat] * 2023: Machine-Learning-Based Forest Classification and Regression (FCR) for Spatial Prediction of Liver Fluke Opisthorchis viverrini (OV) Infection in Small Sub-Watersheds

Littin, S. * 2018: Optimization of Coil Element Configurations for a Matrix Gradient Coil

Little, C.[Charles] * 1999: 3D Imaging and Modeling for Crime Scene Documentation

Little, C.G. * 1969: Special Issue on Remote Environmental Sensing

Little, C.Q. * 2005: 2D Range Hausdorff Approach for 3D Face Recognition, A

Little, J. * 2006: Flatness and Orientation Signature for Modeling and Matching 3D Objects
* 2007: Surface Signature-Based Method for Modeling and Recognizing Free-Form Objects
* 2012: LOST: Longterm Observation of Scenes (with Tracks)
* 2012: Tools for richer crowd source image annotations
* 2019: Learning Sports Camera Selection From Internet Videos
* 2022: Extending the National Burned Area Composite Time Series of Wildfires in Canada
Includes: Little, J. Little, J.[Joshua] Little, J.[John]

Little, J.A. * 1995: Medical Image Registration Incorporating Deformations
* 1996: Deformations Incorporating Rigid Structures
* 1997: Deformations Incorporating Rigid Structures

Little, J.J. * 1979: Automatic Extraction of Irregular Network Digital Terrain Models
* 1979: Recursive Procedure for Finding the Intersection of Two Digital Curves, A
* 1982: Automatic Registration of Landsat MSS Images to Digital Elevation Models
* 1983: Interative Method for Reconstructing Convex Polyhedra from Extended Gaussian Images, An
* 1985: Determining Object Attitude from Extended Gaussian Images
* 1986: Parallel Algorithms for Computer Vision on the Connection Machine
* 1987: How to Program the Connection Machine for Computer Vision
* 1987: Parallel Algorithms for Computer Vision on the Connection Machine
* 1987: Parallel Algorithms for Computer Vision on the Connection Machine
* 1987: Parallel Optical Flow Computation
* 1988: Analysis of Differential and Matching Methods for Optical Flow
* 1988: Integrating Vision Modules on a Fine-Grained Parallel Machine
* 1988: Parallel Integration of Vision Modules
* 1988: Parallel Optical Flow Using Local Voting
* 1989: Algorithmic Techniques for Computer Vision on a Fine-Grained Parallel Machine
* 1989: Analysis of Differential and Matching Methods for Optical Flow
* 1989: Parallel Algorithm for Real-time Computation of Optical Flow, A
* 1989: Parallel Motion Algorithm Consistent with Psychophysics and Physiology, A
* 1990: Direct Evidence for Occlusion in Stereo and Motion
* 1990: Direct Evidence for Occlusion in Stereo and Motion
* 1990: Silt: the bit-parallel approach
* 1992: Spatial-Quefrency Approach to Optical Echo Analysis
* 1993: Silt: A distributed bit-parallel architecture for early vision
* 1993: Smart Buffer for Tracking Using Motion Data, A
* 1993: Visual Echo Analysis
* 1994: Complementary Data Fusion for Limited-Angle Tomography
* 1994: Cooperative analysis of multiple frames by visual echoes
* 1994: Unified Recognition and Stereo Vision System for Size Assessment of Fish, A
* 1994: Vision servers and their clients
* 1995: Describing Motion for Recognition
* 1995: Reflectance Function Estimation and Shape Recovery from Image Sequence of a Rotating Object
* 1996: Geometric and Photometric Constraints for Surface Recovery
* 1998: Recognizing People by Their Gait: The Shape of Motion
* 1998: Shape of Motion and the Perception of Human Gaits
* 1998: Shape of Motion and the Perception of Human Gaits
* 1998: Structural Lines for Triangulation of Terrain
* 1999: Reflectance and Shape from Images Using a Collinear Light Source
* 2000: Deforming Surface Features Lines in Intrinsic Coordinates
* 2000: Phase in Model-Free Perception of Gait
* 2000: Representation and Recognition of Complex Human Motion
* 2003: Bayesian clustering of optical flow fields
* 2003: Ordering Points for Incremental TIN Construction from DEMs
* 2003: Visual Capabilities in an Interactive Autonomous Robot
* 2004: Boosted Particle Filter: Multitarget Detection and Tracking, A
* 2004: Decision Theoretic Modeling of Human Facial Displays
* 2004: Segmenting correlation stereo range images using surface elements
* 2004: Value directed learning of gestures and facial displays
* 2005: Patchlets: Representing Stereo Vision Data with Surface Elements
* 2005: Photometric Stereo via Locality Sensitive High-Dimension Hashing
* 2006: Design and analysis of a framework for real-time vision-based SLAM using Rao-Blackwellised particle filters
* 2006: rho-SLAM: Stereo vision SLAM using the Rao-Blackwellised particle filter and a novel mixture proposal distribution
* 2006: Robust Visual Tracking for Multiple Targets
* 2006: Simultaneous Tracking and Action Recognition using the PCA-HOG Descriptor
* 2006: SRTM Data Finishing Process and Products, The
* 2007: Linear Programming Approach for Multiple Object Tracking, A
* 2007: OpenVL: Towards A Novel Software Architecture for Computer Vision
* 2007: Study of the Rao-Blackwellised Particle Filter for Efficient and Accurate Vision-Based SLAM, A
* 2007: Value-Directed Human Behavior Analysis from Video Using Partially Observable Markov Decision Processes
* 2008: Deforestation: Extracting 3D Bare-Earth Surface from Airborne LiDAR Data
* 2008: Optimizing Multiple Object Tracking and Best View Video Synthesis
* 2009: Automated Spatial-Semantic Modeling with Applications to Place Labeling and Informed Search
* 2009: Autonomous vision-based robotic exploration and mapping using hybrid maps and particle filters
* 2009: Hybrid Conditional Random Field for Estimating the Underlying Ground Surface From Airborne LiDAR Data, A
* 2009: Tracking and recognizing actions of multiple hockey players using the boosted particle filter
* 2010: Automated Place Classification Using Object Detection
* 2010: Curious George: An Integrated Visual Search Platform
* 2010: Multiple Viewpoint Recognition and Localization
* 2011: Explicit Occlusion Reasoning for 3D Object Detection
* 2011: Identifying players in broadcast sports videos using conditional random fields
* 2011: Place Classification Using Visual Object Categorization and Global Information
* 2011: Using Line and Ellipse Features for Rectification of Broadcast Hockey Video
* 2012: Combinational Subsequence Matching for Human Identification from General Actions
* 2012: Fine-Grained Categorization for 3D Scene Understanding
* 2013: Charlie Rides the Elevator, Integrating Vision, Navigation and Manipulation towards Multi-floor Robot Locomotion
* 2013: Incremental Learning for Video-Based Gait Recognition With LBP Flow
* 2013: Learning to Track and Identify Players from Broadcast Sports Videos
* 2014: 3D Pose from Motion for Cross-View Action Recognition via Non-linear Circulant Temporal Encoding
* 2014: Bayesian Optimization with an Empirical Hardness Model for approximate Nearest Neighbour Search
* 2014: CollageParsing: Nonparametric Scene Parsing by Adaptive Overlapping Windows
* 2014: Task-based control of articulated human pose detection for OpenVL
* 2014: Unlabelled 3D Motion Examples Improve Cross-View Action Recognition
* 2015: Bank of Quantization Models: A Data-Specific Approach to Learning Binary Codes for Large-Scale Retrieval Applications
* 2015: Improving scene attribute recognition using web-scale object detectors
* 2016: Efficient video-based retrieval of human motion with flexible alignment
* 2016: Exploiting Random RGB and Sparse Features for Camera Pose Estimation
* 2016: Factorized Binary Codes for Large-Scale Nearest Neighbor Search
* 2016: Learning Online Smooth Predictors for Realtime Camera Planning Using Recurrent Decision Trees
* 2016: Play and Learn: Using Video Games to Train Computer Vision Models
* 2016: Real-Time Human Motion Capture with Multiple Depth Cameras
* 2016: Revisiting Additive Quantization
* 2016: Scene parsing by nonparametric label transfer of content-adaptive windows
* 2016: Solving Multi-Codebook Quantization in the GPU
* 2016: SSP: Supervised Sparse Projections for Large-Scale Retrieval in High Dimensions
* 2017: Classification of Puck Possession Events in Ice Hockey
* 2017: Simple Yet Effective Baseline for 3d Human Pose Estimation, A
* 2017: Where should cameras look at soccer games: Improving smoothness using the overlapped hidden Markov model
* 2018: Camera Selection for Broadcasting Soccer Games
* 2018: Exploiting Temporal Information for 3D Human Pose Estimation
* 2018: Lightweight convolutional neural networks for player detection and classification
* 2018: LSQ++: Lower Running Time and Higher Recall in Multi-codebook Quantization
* 2018: Two-Point Method for PTZ Camera Calibration in Sports, A
* 2021: AutoRetouch: Automatic Professional Face Retouching
* 2022: ElePose: Unsupervised 3D Human Pose Estimation by Predicting Camera Elevation and Learning Normalizing Flows on 2D Poses
* 2022: Semi-Supervised Grounding Alignment for Multi-Modal Feature Learning
* 2024: Framework-agnostic Semantically-aware Global Reasoning for Segmentation
Includes: Little, J.J. Little, J.J.[James J.]
105 for Little, J.J.

Little, M.A.[Max A.] * 2022: Causal GraphSAGE: A robust graph method for classification based on causal sampling

Little, M.J. * 1984: VLSI Implementation of Systolic and 3-D Cellular Architectures for Image Processing

Little, M.M.[Michael M.] * 2018: Evaluating the Open Source Data Containers for Handling Big Geospatial Raster Data

Little, S.[Suzanne] * 2013: Action recognition based on sparse motion trajectories
* 2014: Empirical Exploration of Extreme SVM-RBF Parameter Values for Visual Object Classification
* 2014: Evaluation of Local Action Descriptors for Human Action Classification in the Presence of Occlusion, An
* 2015: Action recognition in video using a spatial-temporal graph-based feature representation
* 2016: Holistic features for real-time crowd behaviour anomaly detection
* 2017: Action localization in video using a graph-based feature representation
* 2017: Annotation System for Egocentric Image Media, An
* 2017: comparison between end-to-end approaches and feature extraction based approaches for Sign Language recognition, A
* 2017: Irish Sign Language Recognition Using Principal Component Analysis and Convolutional Neural Networks
* 2017: ResnetCrowd: A residual deep learning architecture for crowd counting, violent behaviour detection and crowd density level classification
* 2018: People, Penguins and Petri Dishes: Adapting Object Counting Models to New Visual Domains and Object Types Without Forgetting
* 2019: Fashion Police: Towards Semantic Indexing of Clothing Information in Surveillance Data
* 2021: Utilising Visual Attention Cues for Vehicle Detection and Tracking
Includes: Little, S.[Suzanne] Little, S.
13 for Little, S.

Little, T.D.C.[Thomas D.C.] * 1991: Spatio-Temporal Composition of Distributed Multimedia Objects for Value-Added Networks
* 1996: Survey of Technologies for Parsing and Indexing Digital Video, A
* 1997: Annotation Engine for Supporting Video Database Population, An
* 2012: Detection and Summarization of Salient Events in Coastal Environments
* 2012: Phase Transition of Message Propagation Speed in Delay-Tolerant Vehicular Networks
Includes: Little, T.D.C.[Thomas D.C.] Little, T.D.C.

Littlewort, G. * 2013: Hand Gestures for Intelligent Tutoring Systems: Dataset, Techniques and Evaluation
* 2014: discriminative parts based model approach for fiducial points free and shape constrained head pose normalisation in the wild, A
* 2014: discriminative parts based model approach for fiducial points free and shape constrained head pose normalisation in the wild, A
* 2014: Towards Automated Understanding of Student-Tutor Interactions Using Visual Deictic Gestures
Includes: Littlewort, G. Littlewort, G.[Gwen]

Littlewort, G.C. * 2002: approach to automatic recognition of spontaneous facial actions, An
* 2004: Dynamics of Facial Expression Extracted Automatically from Video
* 2005: Recognizing Facial Expression: Machine Learning and Application to Spontaneous Behavior
* 2006: Dynamics of Facial Expression Extracted Automatically from Video
* 2006: Fully Automatic Facial Action Recognition in Spontaneous Behavior
* 2007: Drowsy Driver Detection Through Facial Movement Analysis
* 2008: Computer Expression Recognition Toolbox
* 2009: Automatic coding of facial expressions displayed during posed and genuine pain
* 2009: Toward Practical Smile Detection
* 2010: Discrimination of Moderate and Acute Drowsiness Based on Spontaneous Facial Expressions
* 2011: Automated measurement of children's facial expressions during problem solving tasks
* 2011: computer expression recognition toolbox (CERT), The
* 2011: motion in emotion: A CERT based approach to the FERA emotion challenge, The
Includes: Littlewort, G.C. Littlewort, G.C.[Gwen C.]
13 for Littlewort, G.C.

Littman, A.[Arne] * 2011: Automatic Delineation of Left and Right Ventricles in Cardiac MRI Sequences Using a Joint Ventricular Model

Littman, R.[Rotem] * 2009: Automatically identifying join candidates in the Cairo Genizah
* 2011: Identifying Join Candidates in the Cairo Genizah

Littmann, A.[Arne] * 2009: Robust object detection using marginal space learning and ranking-based multi-detector aggregation: Application to left ventricle detection in 2D MRI images

Littmann, E. * 1996: Nonlinear Interaction of on and off Data Streams for the Detection of Visual Structure
* 1997: Adaptive Color Segmentation: A Comparison of Neural and Statistical-Methods

Littwin, E.[Etai] * 2015: Spherical embedding of inlier silhouette dissimilarities
* 2016: Complexity of multiverse networks and their multilayer generalization
* 2016: Multiverse Loss for Robust Transfer Learning, The
Includes: Littwin, E.[Etai] Littwin, E.

Littwin, G. * 2019: Deep Meta Functionals for Shape Representation

Index for "l"


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