Fish, A.
* 2013: Hardware Implementation of a Digital Watermarking System for Video Authentication
Fish, B.[Barry]
* 2000: Augmented Geophysical Data Interpretation Through Automated Velocity Picking in Semblance Velocity Images
* 2002: Augmented Geophysical Data Interpretation Through Automated Velocity Picking in Semblance Velocity Images
Fish, C.
* 2014: Radiometer Calibration Using Colocated GPS Radio Occultation Measurements
Fish, D.A.
* 1996: Scanning Singular-Value-Decomposition Method for Restoration of Images with Space-Variant Blur
Fish, E.[Edward]
* 2021: Rethinking Genre Classification With Fine Grained Semantic Clustering
Fish, R.K.
* 2003: Multilevel classification of milling tool wear with confidence estimation
Fish, V.L.[Vincent L.]
* 2016: Computational Imaging for VLBI Image Reconstruction
Fishani, F.J.[Farnoosh Javadi]
* 2023: Learning Domain-Adaptive Landmark Detection-Based Self-Supervised Video Synchronization for Remote Sensing Panorama
Fishbach, A.
* 2004: Spectral sound gap filling
Fishbain, B.[Barak]
* 2007: Depth Map Quantization: How Much is Sufficient?
* 2007: Real-time 2D to 3D video conversion
* 2007: Real-time stabilization of long range observation system turbulent video
* 2008: Depth Map Manipulation for 3D Visualization
* 2009: Nonuniform sampling, image recovery from sparse data and the discrete sampling theorem
* 2010: Guest editorial of the special issue on real-time vision-based motion analysis and intelligent transportation systems
* 2013: new approach for real-time target tracking in videos, A
* 2016: competitive study of the pseudoflow algorithm for the minimum s-t cut problem in vision applications, A
* 2016: Special issue on real-time image and video processing for pattern recognition systems and applications
Includes: Fishbain, B.[Barak] Fishbain, B.
9 for Fishbain, B.
Fishbaugh, J.[James]
* 2019: Spatiotemporal Modeling for Image Time Series with Appearance Change: Application to Early Brain Development
* 2021: Segmentation-Renormalized Deep Feature Modulation for Unpaired Image Harmonization
Fishbine, B.H.[Brian H.]
* 1990: System for generating rolled fingerprint images
* 1993: Method and apparatus for capturing skin print images
Fishbine, G.M.[Glenn M.]
* 1989: Methods for digitally noise averaging and illumination equalizing fingerprint images
* 1990: System for generating rolled fingerprint images
* 1993: Method and apparatus for capturing skin print images
Fishel, M.
* 2018: Integrating Vision and Language for First-Impression Personality Analysis
Fishell, W.G.[Wallace G.]
* 1993: Airborne Reconnaissance XXIII
Fishelson, J.
* 2013: Evaluation of automated electric transportation deployment strategies: integrated against isolated
Fisher Gewirtzman, D.[Dafna]
* 2021: 3D Visibility Analysis for Evaluating the Attractiveness of Tourism Routes Computed from Social Media Photos
Includes: Fisher Gewirtzman, D.[Dafna] Fisher-Gewirtzman, D.[Dafna]
Fisher, A.[Adrian]
* 2013: Water Index for SPOT5 HRG Satellite Imagery, New South Wales, Australia, Determined by Linear Discriminant Analysis, A
* 2014: Cloud and Cloud-Shadow Detection in SPOT5 HRG Imagery with Automated Morphological Feature Extraction
* 2016: Large-Area, High-Resolution Tree Cover Mapping with Multi-Temporal SPOT5 Imagery, New South Wales, Australia
* 2016: Remote Sensing Measures Restoration Successes, but Canopy Heights Lag in Restoring Floodplain Vegetation
* 2022: Assessing the Accuracy of Landsat Vegetation Fractional Cover for Monitoring Australian Drylands
* 2022: Auto-Tuning of Attitude Control System for Heterogeneous Multirotor UAS
Includes: Fisher, A.[Adrian] Fisher, A.[Alex]
Fisher, A.L.
* 1985: Synchronizing Large VLSI Processor Arrays
* 1989: Computing the Hough Transform on a Scan Line Array Processor
Fisher, B.
* 2002: How can we exploit typical architectural structures to improve model recovery?
* 2012: Editorial for the Special Issue on 3D Data Processing, Visualization and Transmission
* 2018: DUGMA: Dynamic Uncertainty-Based Gaussian Mixture Alignment
Includes: Fisher, B. Fisher, B.[Bob]
Fisher, B.M.
* 2017: Preflight Spectral Calibration of the Orbiting Carbon Observatory 2
Fisher, C.
* 2013: Model-Driven Harmonic Parameterization of the Cortical Surface: HIP-HOP
Fisher, D.
* 1996: Iterative Optimization and Simplification of Hierarchical Clusterings
* 1998: Mita: An Information Extraction Approach to the Analysis of Free-Form Text in Life-Insurance Applications
* 2012: Stereo Derived Cloud Top Height Climatology Over Greenland From 20 Years Of The Along Track Scanning Radiometer (atsr) Instruments
* 2014: Automated Stereo Retrieval of Smoke Plume Injection Heights and Retrieval of Smoke Plume Masks From AATSR and Their Assessment With CALIPSO and MISR
* 2018: Shortwave IR Adaption of the Mid-Infrared Radiance Method of Fire Radiative Power (FRP) Retrieval for Assessing Industrial Gas Flaring Output
Includes: Fisher, D. Fisher, D.[Daniel]
Fisher, E.
* 1976: Context in word recognition
* 2002: Parameter Space Warping: Shape-Based Correspondence between Morphologically Different Objects
Fisher, F.
* 1999: SAR image processing using artificial intelligence planning
Fisher, G.[Gil]
* 1996: Apparatus and method for generating a screened reproduction of an image employing a non-periodic screen function
* 1996: Apparatus and technique for generating a screened reproduction of an image
* 2010: Visible and Infrared Remote Imaging of Hazardous Waste: A Review
Includes: Fisher, G.[Gil] Fisher, G.
Fisher, G.W.[Gregory W.]
* 1997: Optical image acquisition, analysis and processing for biomedical applications
Fisher, H.D.
* 1994: Wavelet-domain texture modeling for image compression
* 1996: Image Compression by Texture Modeling in the Wavelet Domain
Fisher, J.[John]
* 2004: Unified Statistical and Information Theoretic Framework for Multi-modal Image Registration, A
* 2009: Automatic registration of LIDAR and optical images of urban scenes
Fisher, J.B.
* 2011: Mapping forest canopy height globally with spaceborne lidar
* 2014: 1982-2010 Trends of Light Use Efficiency and Inherent Water Use Efficiency in African vegetation: Sensitivity to Climate and Atmospheric CO2 Concentrations
* 2016: Global Surface Net-Radiation at 5 km from MODIS Terra
* 2018: CubeSats Enable High Spatiotemporal Retrievals of Crop-Water Use for Precision Agriculture
* 2018: On the Desiccation of the South Aral Sea Observed from Spaceborne Missions
* 2018: Sensitivity of Evapotranspiration Components in Remote Sensing-Based Models
* 2018: Vegetation Water Use Based on a Thermal and Optical Remote Sensing Model in the Mediterranean Region of Doņana
* 2019: Advances in the Remote Sensing of Terrestrial Evaporation
* 2019: Impact of the Revisit of Thermal Infrared Remote Sensing Observations on Evapotranspiration Uncertainty: A Sensitivity Study Using AmeriFlux Data
* 2019: Merging the MODIS and Landsat Terrestrial Latent Heat Flux Products Using the Multiresolution Tree Method
* 2020: Characterizing spatiotemporal patterns of crop phenology across North America during 2000-2016 using satellite imagery and agricultural survey data
* 2020: ECOSTRESS and CIMIS: A Comparison of Potential and Reference Evapotranspiration in Riverside County, California
* 2021: Linking Remotely Sensed Carbon and Water Use Efficiencies with In Situ Soil Properties
* 2021: Novel NIR-Red Spectral Domain Evapotranspiration Model From the Chinese GF-1 Satellite: Application to the Huailai Agricultural Region of China, A
Includes: Fisher, J.B. Fisher, J.B.[Joshua B.]
14 for Fisher, J.B.
Fisher, J.L.
* 1990: Document Skew Detection Method Using Run-Length Encoding and the Hough Transform, A
* 1990: Rule-Based System for Document Image Segmentation, A
* 1995: Multifrequency eddy current image processing techniques for nondestructive evaluation
Fisher, J.T.[Jason T.]
* 2015: Mountain Habitats Segmentation and Change Detection Dataset, The
* 2024: Influences of Climate Variability on Land Use and Land Cover Change in Rural South Africa
Includes: Fisher, J.T.[Jason T.] Fisher, J.T.[Jolene T.]
Fisher, J.W.
* 1995: Nonlinear Extension of the Mace Filter, A
* 1997: Nonparametric Methodology for Information Theoretic Feature Extraction, A
* 1997: Unified, Multiresolution Framework for Automatic Target Recognition, A
* 1998: Flexible Histograms: A Multiresolution Target Discrimination Model
* 1998: Flexible Histograms: A Multiresolution Target Discrimination Model
* 1998: Sub-Aperature Extensions to the Flexible Histogram Approach for SAR ATR
* 1998: Target Discrimination in Synthetic Aperture Radar Using Artificial Neural Networks
* 1998: Target Prescreening Based on a Quadratic Gamma-Discriminator
* 1998: Unified, Multiresolution Framework for Automatic Target Recognition, A
* 2002: Face Recognition from Long-Term Observations
* 2002: Nonparametric methods for image segmentation using information theory and curve evolution
* 2002: Probabalistic Models and Informative Subspaces for Audiovisual Correspondence
* 2003: Incorporating complex statistical information in active contour-based image segmentation
* 2004: Combining Simple Models to Approximate Complex Dynamics
* 2005: Combining Object and Feature Dynamics in Probabilistic Tracking
* 2005: Combining Object and Feature Dynamics in Probabilistic Tracking
* 2005: Expectation Maximization Approach for Integrated Registration, Segmentation, and Intensity Correction, An
* 2005: Face Recognition with Image Sets Using Manifold Density Divergence
* 2005: Incorporating Object Tracking Feedback into Background Maintenance Framework
* 2005: nonparametric statistical method for image segmentation using information theory and curve evolution, A
* 2005: Shape Based Segmentation of Anatomical Structures in Magnetic Resonance Images
* 2007: Combining Object and Feature Dynamics in Probabilistic Tracking
* 2007: Detecting Cortical Surface Regions in Structural MR Data
* 2009: Analysis of Orientation and Scale in Smoothly Varying Textures
* 2009: Learning visual flows: A Lie algebraic approach
* 2010: Modeling and estimating persistent motion with geometric flows
* 2011: Efficient MCMC sampling with implicit shape representations
* 2012: Efficient topology-controlled sampling of implicit shapes
* 2012: Learning Deformations with Parallel Transport
* 2012: Low level vision via switchable Markov random fields
* 2012: Manifold guided composite of Markov random fields for image modeling
* 2013: Topology-Constrained Layered Tracking with Latent Flow
* 2013: Video Representation Using Temporal Superpixels, A
* 2014: Aerial Reconstructions via Probabilistic Data Fusion
* 2014: Bayesian Nonparametric Intrinsic Image Decomposition
* 2014: Mixture of Manhattan Frames: Beyond the Manhattan World, A
* 2015: Coarse-to-Fine Minimization of Some Common Nonconvexities
* 2015: fast method for inferring high-quality simply-connected superpixels, A
* 2015: Highly-Expressive Spaces of Well-Behaved Transformations: Keeping it Simple
* 2015: On the Link between Gaussian Homotopy Continuation and Convex Envelopes
* 2015: Semantically-Aware Aerial Reconstruction from Multi-modal Data
* 2015: Small-variance nonparametric clustering on the hypersphere
* 2016: Information-Driven Adaptive Structured-Light Scanners
* 2017: Efficient Global Point Cloud Alignment Using Bayesian Nonparametric Mixtures
* 2017: On the Role of Representations for Reasoning in Large-Scale Urban Scenes
* 2017: Transformations Based on Continuous Piecewise-Affine Velocity Fields
* 2018: Manhattan Frame Model: Manhattan World Inference in the Space of Surface Normals, The
* 2020: Nonparametric Object and Parts Modeling With Lie Group Dynamics
Includes: Fisher, J.W. Fisher, III, J.W.[John W.] Fisher, J.W.[John W.] Fisher, III, J.W.
48 for Fisher, J.W.
Fisher, K.[Kenton]
* 2023: Find My Astronaut Photo: Automated Localization and Georectification of Astronaut Photography
Fisher, M.[Mark]
* 2004: From Min Tree to Watershed Lake Tree: Evaluation
* 2004: From Min Tree to Watershed Lake Tree: Theory and Implementation
* 2006: adaptive algorithm for image restoration using combined penalty functions, An
* 2008: Wireless Capsule Endoscopy Color Video Segmentation
* 2009: Performance of a 2D-3D Image Registration System using (Lossy) Compressed X-ray CT
* 2014: Comparative performance of texton based vascular tree segmentation in retinal images
* 2015: Convolutional Neural Networks for Counting Fish in Fisheries Surveillance Video
* 2017: 3DMatch: Learning Local Geometric Descriptors from RGB-D Reconstructions
* 2018: 3D-CODED: 3D Correspondences by Deep Deformation
* 2018: Multi-content GAN for Few-Shot Font Style Transfer
* 2018: Papier-Mache Approach to Learning 3D Surface Generation, A
* 2018: Perceptual Measure for Deep Single Image Camera Calibration, A
* 2019: BAE-NET: Branched Autoencoder for Shape Co-Segmentation
* 2019: Photometric Mesh Optimization for Video-Aligned 3D Object Reconstruction
* 2019: Shape Unicode: A Unified Shape Representation
* 2019: UprightNet: Geometry-Aware Camera Orientation Estimation From Single Images
* 2020: COALESCE: Component Assembly by Learning to Synthesize Connections
* 2020: Coupling Explicit and Implicit Surface Representations for Generative 3d Modeling
* 2020: Deep Parametric Shape Predictions Using Distance Fields
* 2020: Modeling Artistic Workflows for Image Generation and Editing
* 2021: 3D Reconstruction by Parameterized Surface Mapping
* 2021: DECOR-GAN: 3D Shape Detailization by Conditional Refinement
* 2021: Improved Techniques for Training Single-Image GANs
* 2021: LayoutGMN: Neural Graph Matching for Structural Layout Similarity
* 2021: Neural Strokes: Stylized Line Drawing of 3D Shapes
* 2021: Video Pose Distillation for Few-Shot, Fine-Grained Sports Action Recognition
* 2022: APES: Articulated Part Extraction from Sprite Sheets
* 2022: CharacterGAN: Few-Shot Keypoint Character Animation and Reposing
* 2022: GLASS: Geometric Latent Augmentation for Shape Spaces
* 2022: Share with Thy Neighbors: Single-View Reconstruction by Cross-Instance Consistency
* 2022: Spotting Temporally Precise, Fine-Grained Events in Video
* 2023: DualVector: Unsupervised Vector Font Synthesis with Dual-Part Representation
* 2023: Motion stereo at sea: Dense 3D reconstruction from image sequences monitoring conveyor systems on board fishing vessels
* 2023: RenderDiffusion: Image Diffusion for 3D Reconstruction, Inpainting and Generation
* 2023: Unsupervised 3D Shape Reconstruction by Part Retrieval and Assembly
Includes: Fisher, M.[Mark] Fisher, M. Fisher, M.[Matthew]
35 for Fisher, M.
Fisher, M.H.[Mark H.]
* 1998: Segmentation using spatial-feature clustering from image sequences
* 1999: Using an Image Tree to Assist Stereo Matching
* 2001: Multiscale Color and Texture Invariants for Image Recognition
* 2001: Multiscale color invariants based on the human visual system
* 2002: Spatial-Feature Parametric Clustering Applied to Motion-Based Segmentation in Camouflage
* 2005: Improving ASM Search Using Mixture Models for Grey-Level Profiles
Includes: Fisher, M.H.[Mark H.] Fisher, M.H.
Fisher, M.S.[Matthew S.]
* 2008: Geometric pattern matching using dynamic feature combinations
Fisher, N.
* 2016: Automated Image Analysis on Insect Soups
Fisher, P.[Peter]
* 1998: Improved Modeling of Elevation Error with Geostatistics
* 2007: Higher Order Vagueness in Geographical Information: Empirical Geographical Population of Type-n Fuzzy Sets
* 2016: Methods to Quantify Regional Differences in Land Cover Change
Fisher, P.S.
* 2010: Lightweight SCTP for Partially Reliable Overlay Video Multicast Service for Mobile Terminals, A
* 2011: On Combining Fractional-Pixel Interpolation and Motion Estimation: A Cost-Effective Approach
Fisher, R.[Robert]
* 2016: Fine-grained Recognition in the Noisy Wild: Sensitivity Analysis of Convolutional Neural Networks Approaches
* 2021: Mapping Grasslands in Mixed Grassland Ecoregion of Saskatchewan Using Big Remote Sensing Data and Machine Learning
Includes: Fisher, R.[Robert] Fisher, R.[Ryan]
Fisher, R.A.
* 1924: On a distribution yielding the error functions of several well-known statistics
* 1936: Use of Multiple Measurements in Taxonomic Problems, The
* 1938: Statistical Utilization of Multiple Measurements, The
Fisher, R.B.[Robert B.]
* 1983: Using Surfaces and Object Models to Recognize Partially Obscured Objects
* 1986: Identity Independent Object Segmentation in 2 1/2D Sketch Data
* 1986: Recognizing Objects Using Surface Information and Object Models
* 1986: SMS: A Suggestive Modeling System for Object Recognition
* 1987: Geometric Reasoning for Computer Vision
* 1987: Model Invocation for Three Dimensional Scene Understanding
* 1987: Modeling Second-Order Volumetric Features
* 1987: Representing 3D Structures for Visual Recognition
* 1987: SMS: A Suggestive Modelling System for Object Recognition
* 1988: Predictive Computer Vision for Robotic Assembly
* 1988: Solving Geometric Constraints in a Parallel Network
* 1989: Experiments with a Network-Based Geometric Reasoning Engine
* 1989: From Surfaces to Objects: Computer Vision and Three Dimensional Scene Analysis
* 1990: Determining Back-Facing Curved Model Surfaces by Analysis at the Boundary
* 1990: Distributed Blackboard System for Vision Applications, A
* 1990: Evaluation of a real-time kinetic depth system
* 1990: Extracting Second-Order Topographic Surface Features From Range Data
* 1990: Geometric Constraints from Planar Surface Patch Matching
* 1990: Reducing Viewsphere Complexity
* 1991: Comparative Analysis of Algorithms for Determining the Peak Position of a Stripe to Subpixel Accuracy, A
* 1991: Computing with Uncertainty: Intervals versus Probabilities
* 1991: Design of the IMAGINE II Scene Analysis Program, The
* 1991: Geometric Reasoning in a Parallel Network
* 1991: Interval-Based Geometric Reasoning in a Parallel Network
* 1991: Recognition with Second-Order Topographic Surface Features
* 1991: WPFM: The Workspace Prediction and Fast Matching System
* 1992: Computing Surface-Based Representations from Range Images
* 1992: Fusion Through Interpretation
* 1992: Non-Wildcard Matching Beats The Interpretation Tree
* 1992: Practical Aspect-Graph Derivation Incorporating Feature Segmentation Performance
* 1992: Representation, Extraction and Recognition with Second-Order Topographic Surface Features
* 1992: Suggestive Modeling for Machine Vision
* 1993: Hierarchical Matching Beats The Non-Wildcard and Interpretation Tree Model Matching Algorithms
* 1993: IMAGINE: A 3-D Vision System
* 1993: Invariant Fitting of Arbitrary Single-Extremum Surfaces
* 1993: MIMD and SIMD Parallel Range Data Segmentation
* 1993: Recognition of Complex 3-D Objects from Range Data
* 1993: Rejection of Spurious Reflections in Structured Illumination Range Finders
* 1993: Segmentation of 3D Articulated Objects by Dynamic Grouping of Discontinuities
* 1993: Statistical Partial Constraints for 3D Model Matching and Pose Estimation Problems
* 1993: Visually Salient 3D Model Acquisition from Range Data
* 1994: Acquisition of consistent range data using local calibration
* 1994: Design and Application of Curves and Surfaces: Mathematics of Surfaces V
* 1994: Direct Calibration and Data Consistency in 3-D Laser Scanning
* 1994: Is Computer Vision Still AI?
* 1994: Lack-of-fit detection using the run-distribution test
* 1994: Performance Comparison of Ten Variations on the Interpretation-Tree Matching Algorithm
* 1995: Buyer's Guide to Conic Fitting, A
* 1995: Comparison of Four Algorithms for Estimating 3-D Rigid Transformations, A
* 1995: Comparison of Four Algorithms for Estimating 3-D Rigid Transformations, A
* 1995: Comparison of Four Algorithms for Estimating 3-D Rigid Transformations, A
* 1995: Convex Hulls, Occluding Contours, Aspect Graphs and the Hough Transform
* 1995: Equal-Distance Sampling of Superellipse Models
* 1995: Equal-Distance Sampling of Superellipse Models
* 1995: Experiments in Curvature-Based Segmentation of Range Data
* 1995: High-Level CAD Model Acquisition from Range Images
* 1995: Multi-Variate Cross-Correlation and Image Matching
* 1995: Multi-Variate Cross-Correlation and Image Matching
* 1995: Non-Polyhedral Landmark Recognition using 3D Depth Images and Partially Correct Models
* 1995: Non-Polyhedral Landmark Recognition using 3D Depth Images and Partially Correct Models
* 1996: Attention in Iconic Object Matching
* 1996: Attention in Iconic Object Matching
* 1996: Beyond the Hough Transform: Further Properties of the R-Theta Mapping and Their Applications
* 1996: Buyer's Guide to Conic Fitting, A
* 1996: Class-Based Recognition of 3D Objects Represented by Volumetric Primitives
* 1996: Class-Based Recognition of 3D Objects Represented by Volumetric Primitives
* 1996: Convex Hulls, Occluding Contours, Aspect Graphs and the Hough Transform
* 1996: Direct Least Squares Fitting of Ellipses
* 1996: Direct Least Squares Fitting of Ellipses
* 1996: Ellipse-Specific Direct Least-Square Fitting
* 1996: Ellipse-Specific Direct Least-Square Fitting
* 1996: Experimental Comparison of Range Image Segmentation Algorithms, An
* 1996: Hypermedia Image Processing Reference
* 1996: Model-Driven Grouping and Recognition of Generic Object Parts from a Single Image
* 1996: Part Segmentation from 2D Edge Images by the MDL Criterion
* 1996: Part Segmentation from 2D Edge Images by the MDL Criterion
* 1996: Recognition of Geons by Parametric Deformable Contour Models
* 1996: Recovery of Generic Solid Parts by Parametrically Deformable Aspects
* 1996: Simultaneous Registration of Multiple Range Views for Use in Reverse Engineering
* 1996: Simultaneous Registration of Multiple Range Views for Use in Reverse Engineering
* 1996: Surface Reflectance Recovery under Point Light Illumination
* 1996: Surface Reflectance Recovery under Point Light Illumination
* 1996: Training PDMs on models: the case of deformable superellipses
* 1996: Training PDMs on models: the case of deformable superellipses
* 1997: British-Machine-Vision-Conference 1996
* 1997: Calibration, Data Consistency and Model Acquisition with a 3-D Laser Striper
* 1997: Class-Based Recognition of 3D Objects Represented by Volumetric Primitives
* 1997: Constructing Models of Articulating Objects: Range Data Partitioning
* 1997: Constructing Models of Articulating Objects: Range Data Partitioning
* 1997: Estimating 3-D Rigid-Body Transformations: A Comparison of Four Major Algorithms
* 1997: Extracting Surface Patches from Complete Range Descriptions
* 1997: Extracting Surface Patches from Complete Range Descriptions
* 1997: High-Level CAD Model Acquisition from Range Images
* 1997: Improving model shape acquisition by incorporating geometric constraints
* 1997: Model-Driven Grouping and Recognition of Generic Object Parts from a Single Image
* 1997: Part Segmentation from 2D Edge Images by the MDL Criterion
* 1997: Segmentation of Range Data for the Automatic Construction of Models of Articulated Objects
* 1997: Segmentation of Range Data into Rigid Subsets using Planar Surface Patches
* 1997: Special Issue: British Machine Vision Conference 1995
* 1998: Best Next View Selection Algorithm Incorporating a Quality Criterion, A
* 1998: Calibration, Data Consistency and Model Acquisition with a 3-D Laser Striper
* 1998: CV-Online: The Evolving, Distributed, Non-Proprietary, On-Line Compendium of Computer Vision
* 1998: CV-Online: The Evolving, Distributed, Non-Proprietary, On-Line Compendium of Computer Vision
* 1998: Finding Surface Correspondence for Object Recognition and Registration Using Pairwise Geometric Histograms
* 1998: Integrating Iconic and Structured Matching
* 1998: Interactive Textbooks; Embedding Image Processing Operator Demonstrations in Text
* 1998: Modelling Objects Having Quadric Surfaces Incorporating Geometric Constraints
* 1998: Segmentation of Range Data into Rigid Subsets Using Surface Patches
* 1998: Simultaneous Registration of Multiple Range Views for Use in Reverse Engineering of CAD Models
* 1998: Towards object modelling by incorporating geometric constraints
* 1999: Construction of Articulated Models from Range Data
* 1999: Direct Least Square Fitting of Ellipses
* 1999: Faithful recovering of quadric surfaces from 3D range data
* 1999: Improving Second-order Surface Estimation
* 1999: Low-Cost Range Finder using a Visually Located, Structured Light Source, A
* 1999: next-best-view algorithm for 3D scene recovery with 5 degrees of freedom, A
* 1999: Object reconstruction by incorporating geometric constraints in reverse engineering
* 1999: Training PDMs on models: the case of deformable superellipses
* 2000: Faithful recovering of quadric surfaces from 3D range data by global fitting
* 2000: HIPR2: Free WWW-based Image Processing Teaching Materials with JAVA
* 2000: Viewpoint Estimation in Three-Dimensional Images Taken with Perspective Range Sensors
* 2001: Buyer's Guide to Euclidean Elliptical Cylindrical and Conical Surface Fitting, A
* 2001: Comparison of HK and SC curvature description methods
* 2001: Euclidean Fitting Revisited
* 2001: Reconstruction of surfaces behind occlusions in range images
* 2001: Shape Recovery and Analysis of Large Screw Threads
* 2002: Edge-constrained marching triangles
* 2002: Empirical calibration method for adding colour to range images
* 2002: Hierarchical Selectivity for Object-Based Visual Attention
* 2002: Improving architectural 3D reconstruction by plane and edge constraining
* 2002: Improving environment modelling by edge occlusion surface completion
* 2002: Parallel Evolutionary Registration of Range Data
* 2002: Quality Enhancement of Reconstructed 3D Models Using Coplanarity and Constraints
* 2002: Reconstruction of Planar Surfaces Behind Occlusions in Range Images
* 2002: Self-Organization of Randomly Placed Sensors
* 2002: Special Issue on Registration and Fusion of Range Images
* 2003: Colour texture fusion of multiple range images
* 2003: Object-based visual attention for computer vision
* 2003: Primal sketch feature extraction from a log-polar image
* 2003: Solving architectural modelling problems using knowledge
* 2004: CAVIAR Test Case Scenarios
* 2004: CVML: An XML-based computer vision markup language
* 2004: Decomposition of range images using markov random fields
* 2004: Environment Authentication Through 3D Structural Analysis
* 2004: Fusing multiple color images for texturing models
* 2005: Amodal volume completion: 3D visual completion
* 2005: Colour Constrained 4D Flow
* 2005: Comparison of target detection algorithms using adaptive background models
* 2005: Dictionary of Computer Vision and Image Processing
* 2005: Efficient Hidden Semi-Markov Model Inference for Structured Video Sequences
* 2005: Non-parametric 3D surface completion
* 2005: Performance evaluating the evaluator
* 2005: Visual quality measures for Characterizing Planar robot grasps
* 2006: Empirical Model for Saturation and Capacity in Classifier Spaces, An
* 2006: Hidden Markov Models for Optical Flow Analysis in Crowds
* 2006: Modelling Crowd Scenes for Event Detection
* 2006: Qualitative Characterization of Deforming Surfaces
* 2006: Scene recovery from many randomly distributed single pixel cameras
* 2007: Multiple color texture map fusion for 3D models
* 2007: Non Parametric Classification of Human Interaction
* 2008: computer vision model for visual-object-based attention and eye movements, A
* 2008: Semi-supervised Learning for Anomalous Trajectory Detection
* 2008: Three-Dimensional Surface Relief Completion Via Nonparametric Techniques
* 2008: Visual observation and analysis of animal and insect behavior
* 2009: Parametric Trajectory Representations for Behaviour Classification
* 2010: Accurate Feature Extraction and Control Point Correction for Camera Calibration with a Mono-Plane Target
* 2010: Automatic fish classification for underwater species behavior understanding
* 2010: BEHAVE video dataset: Ground truthed video for multi-person behavior classification, The
* 2011: Performance characterization of a high-speed stereo vision sensor for acquisition of time-varying 3D shapes
* 2012: filtering mechanism for normal fish trajectories, A
* 2012: hierarchical extension to 3D non-parametric surface relief completion, A
* 2012: Supporting ground-truth annotation of image datasets using clustering
* 2012: Underwater Live Fish Recognition Using a Balance-Guaranteed Optimized Tree
* 2013: Adaptive deblurring of surveillance video sequences that deteriorate over time
* 2013: Detecting abnormal fish trajectories using clustered and labeled data
* 2013: Detection of Abnormal Fish Trajectories Using a Clustering Based Hierarchical Classifier
* 2013: Dictionary of Computer Vision and Image Processing, Second Edition
* 2014: GMM improves the reject option in hierarchical classification for fish recognition
* 2015: Classifying imbalanced data sets using similarity based hierarchical decomposition
* 2015: Hierarchical classification with reject option for live fish recognition
* 2015: Real-time 3D semi-local surface patch extraction using GPGPU
* 2015: Special issue on animal and insect behaviour understanding in image sequences
* 2016: Coral classification with hybrid feature representations
* 2016: Fish4Knowledge: Collecting and Analyzing Massive Coral Reef Fish Video Data
* 2016: Recoding Color Transfer as A Color Homography
* 2017: Plane labeling trinocular stereo matching with baseline recovery
* 2018: 3D non-rigid registration using color: Color Coherent Point Drift
* 2018: Dual-modality Talking-metrics: 3D Visual-Audio Integrated Behaviometric Cues from Speakers
* 2018: Dynamic 3D reconstruction improvement via intensity video guided 4D fusion
* 2018: Extracting statistically significant behaviour from fish tracking data with and without large dataset cleaning
* 2018: Second Workshop on 3D Reconstruction Meets Semantics: Challenge Results Discussion, The
* 2019: 3D color homography model for photo-realistic color transfer re-coding
* 2019: 3D Visual passcode: Speech-driven 3D facial dynamics for behaviometrics
* 2019: Color Homography: Theory and Applications
* 2019: SDF-MAN: Semi-Supervised Disparity Fusion with Multi-Scale Adversarial Networks
* 2019: Semantic Segmentation of SLAR Imagery with Convolutional LSTM Selectional AutoEncoders
* 2019: UDFNET: Unsupervised Disparity Fusion with Adversarial Networks
* 2021: 3D Lip Event Detection via Interframe Motion Divergence at Multiple Temporal Resolutions
* 2021: Extracting Accurate Long-Term Behavior Changes from a Large Pig Dataset
* 2021: Ground-truthing Large Human Behavior Monitoring Datasets
* 2023: EatSense: Human centric, action recognition and localization dataset for understanding eating behaviors and quality of motion assessment
* 2023: multi-modal garden dataset and hybrid 3D dense reconstruction framework based on panoramic stereo images for a trimming robot, A
Includes: Fisher, R.B.[Robert B.] Fisher, R.B. Fisher, R.B.[Robert Burns]
202 for Fisher, R.B.
Fisher, S.[Steven]
* 2014: Synapse classification and localization in Electron Micrographs
Fisher, S.K.[Steven K.]
* 2012: Online parameter estimation in dynamic Markov Random Fields for image sequence analysis
* 2013: Robust Segmentation Based Tracing Using an Adaptive Wrapper for Inducing Priors
Includes: Fisher, S.K.[Steven K.] Fisher, S.K.
Fisher, T.[Thomas]
* 2022: Uncertainty-Aware Interpretable Deep Learning for Slum Mapping and Monitoring
Fisher, W.
* 2007: Face Detection Algorithm and Feature Performance on FRGC 2.0 Imagery
Fisher, Y.[Yuval]
* 1995: Fractal Image Compression: Theory and Applications
* 2000: MPEG-4's binary format for scene description
Fishgold, L.[Lewis]
* 2020: Accounting for Training Data Error in Machine Learning Applied to Earth Observations
Fishkel, F.
* 2006: Verification of Engineering Models Based on Bipartite Graph Matching for Inspection Applications
Fishkind, D.E.
* 2002: proof of the spherical homeomorphism conjecture for surfaces, A
* 2004: generalized spherical homeomorphism theorem for digital images, The
* 2016: Graph Matching: Relax at Your Own Risk
* 2019: Alignment strength and correlation for graphs
* 2019: Seeded graph matching
Includes: Fishkind, D.E. Fishkind, D.E.[Donniell E.]
Fishman, E.
* 2018: 3D Coarse-to-Fine Framework for Volumetric Medical Image Segmentation, A
* 2019: Prior-Aware Neural Network for Partially-Supervised Multi-Organ Segmentation
* 2019: Semi-Supervised 3D Abdominal Multi-Organ Segmentation Via Deep Multi-Planar Co-Training
Includes: Fishman, E. Fishman, E.[Elliot]
Fishman, E.K.
* 2018: Recurrent Saliency Transformation Network: Incorporating Multi-stage Visual Cues for Small Organ Segmentation
* 2019: Elastic Boundary Projection for 3D Medical Image Segmentation
* 2020: Deep Distance Transform for Tubular Structure Segmentation in CT Scans
* 2020: Recurrent Saliency Transformation Network for Tiny Target Segmentation in Abdominal CT Scans
* 2021: Learning Inductive Attention Guidance for Partially Supervised Pancreatic Ductal Adenocarcinoma Prediction
* 2021: Segmentation for Classification of Screening Pancreatic Neuroendocrine Tumors
Includes: Fishman, E.K. Fishman, E.K.[Elliot K.]
Fishman, J.[Jack]
* 2017: Unmanned Aerial System (UAS)-based phenotyping of soybean using multi-sensor data fusion and extreme learning machine
* 2018: Effects of Ambient Ozone on Soybean Biophysical Variables and Mineral Nutrient Accumulation
* 2019: Using Visual Ozone Damage Scores and Spectroscopy to Quantify Soybean Responses to Background Ozone
Fishman, R.[Richard]
* 2001: Linear Dual-Space Approach to 3D Surface Reconstruction from Occluding Contours using Algebraic Surfaces, A
Fishman, Z.[Zachary]
* 2021: AutoImplant 2020-First MICCAI Challenge on Automatic Cranial Implant Design
Fishner, D.H.
* 1994: Knowledge-Based Artificial Intelligence Systems in Aerospace and Industry
Fishwick, J.R.[James R.]
* 2018: Evaluating Operational AVHRR Sea Surface Temperature Data at the Coastline Using Benthic Temperature Loggers
* 2020: Sensitivity of Modeled CO2 Air-Sea Flux in a Coastal Environment to Surface Temperature Gradients, Surfactants, and Satellite Data Assimilation