Barnaba, F.[Francesca]
* 2018: Satellite-based view of the aerosol spatial and temporal variability in the Córdoba region (Argentina) using over ten years of high-resolution data
* 2023: On the Interplay between Desert Dust and Meteorology Based on WRF-Chem Simulations and Remote Sensing Observations in the Mediterranean Basin
Barnabe, P.[Pierre]
* 2021: Cloud and Cloud-Shadow Detection for Applications in Mapping Small-Scale Mining in Colombia Using Sentinel-2 Imagery
Includes: Barnabe, P.[Pierre] Barnabé, P.[Pierre]
Barnabe, S.A.E.
* 2019: Ego-Semantic Labeling of Scene from Depth Image for Visually Impaired and Blind People
Includes: Barnabe, S.A.E. Barnabé, S.A.E.
Barnaby, C.
* 2018: Blood Stain Segmentation
Barnachon, M.[Mathieu]
* 2012: Human actions recognition from streamed Motion Capture
* 2013: real-time system for motion retrieval and interpretation, A
* 2014: Ongoing human action recognition with motion capture
Barnada, M.[Marc]
* 2015: Motion Priors Estimation for Robust Matching Initialization in Automotive Applications
Barnafi, N.
* 2018: Primal and Mixed Finite Element Methods for Deformable Image Registration Problems
* 2021: Adaptive Mesh Refinement in Deformable Image Registration: A Posteriori Error Estimates for Primal and Mixed Formulations
Includes: Barnafi, N. Barnafi, N.[Nicolas]
Barnaghi, P.[Payam]
* 2021: Verifying the Causes of Adversarial Examples
Barnard, A.[Andrew]
* 2020: Results from Verification of Reference Irradiance and Radiance Sources Laboratory Calibration Experiment Campaign
Barnard, C.J.
* 1996: Feature-Based Classification of Aerospace Radar Targets Using Neural Networks
Barnard, E.
* 1993: Related Approaches to Gradient-Based Thresholding
* 1996: Feature-Based Classification of Aerospace Radar Targets Using Neural Networks
Barnard, J.C.[James C.]
* 2021: Theoretical Uncertainty Analysis of Satellite Retrieved Aerosol Optical Depth Associated with Surface Albedo and Aerosol Optical Properties
Barnard, K.[Kobus]
* 1995: Color Constancy Under Varying Illumination
* 1995: Computational Color Constancy: Taking Theory into Practice
* 1996: Color Constancy for Scenes with Varying Illumination
* 1997: Color Constancy for Scenes with Varying Illumination
* 1998: Is machine colour constancy good enough?
* 1999: Method of Estimating Chromaticity of Illumination Using Neural Networks
* 1999: Practical Color Constancy
* 2000: Colour by Correlation in a Three-Dimensional Colour Space
* 2000: Improvements to Gamut Mapping Colour Constancy Algorithms
* 2001: Clustering Art
* 2001: Learning the Semantics of Words and Pictures
* 2001: Sensor sharpening for computational color constancy
* 2002: Camera characterization for color research
* 2002: Comparison of Computational Color Constancy Algorithms-Part I: Methodology and Experiments with Synthesized Data, A
* 2002: Comparison of Computational Color Constancy Algorithms-Part II: Experiments with Image Data, A
* 2002: Data Set for Colour Research, A
* 2002: Estimating the scene illumination chromaticity by using a neural network
* 2002: Object Recognition as Machine Translation: Learning a Lexicon for a Fixed Image Vocabulary
* 2003: effects of segmentation and feature choice in a translation model of object recognition, The
* 2004: Statistical Model for General Contextual Object Recognition, A
* 2005: Detecting, Localizing and Recovering Kinematics of Textured Animals
* 2005: Evaluating Image Retrieval
* 2006: Building Models of Animals from Video
* 2006: Cross Modal Disambiguation
* 2006: Statistical Inference of Biological Structure and Point Spread Functions in 3D Microscopy
* 2007: Inferring Grammar-based Structure Models from 3D Microscopy Data
* 2007: Reducing correspondence ambiguity in loosely labeled training data
* 2008: Evaluation of Localized Semantics: Data, Methodology, and Experiments
* 2008: Finding trails
* 2010: fast connected components labeling algorithm and its application to real-time pupil detection, A
* 2010: Improving and Aligning Speech with Presentation Slides
* 2011: generative statistical model for tracking multiple smooth trajectories, A
* 2011: Robust Spatiotemporal Matching of Electronic Slides to Presentation Videos
* 2011: Sampling bedrooms
* 2012: Bayesian geometric modeling of indoor scenes
* 2013: Bayesian 3D Tracking from Monocular Video
* 2013: Statistical Model for Recreational Trails in Aerial Images, A
* 2013: Understanding Bayesian Rooms Using Composite 3D Object Models
* 2015: Gaussian Process Shape Models for Bayesian Segmentation of Plant Leaves
* 2016: Branching Gaussian Processes with Applications to Spatiotemporal Reconstruction of 3D Trees
* 2018: Bayesian Approach to Subkilometer Crater Shape Analysis Using Individual HiRISE Images, A
* 2018: Multiple-Gaze Geometry: Inferring Novel 3D Locations from Gazes Observed in Monocular Video
* 2021: Asymmetric Contextual Modulation for Infrared Small Target Detection
* 2021: Attention as Activation
* 2021: Attentional Feature Fusion
* 2021: Attentional Local Contrast Networks for Infrared Small Target Detection
* 2021: Visual tracking of deepwater animals using machine learning-controlled robotic underwater vehicles
Includes: Barnard, K.[Kobus] Barnard, K. Barnard, K.[Kevin]
47 for Barnard, K.
Barnard, K.J.
* 1997: High Resolution Image Reconstruction from Digital Video with Global and Non-Global Scene Motion
* 1997: Joint MAP Registration and High Resolution Image Estimation Using a Sequence of Undersampled Images
* 1998: High Resolution Image Reconstruction from a Sequence of Rotated and Translated Frames and Its Application to an Infrared Imaging System
* 2016: Fourier Spectral Filter Array for Optimal Multispectral Imaging
Barnard, M.
* 2003: On automatic annotation of meeting databases
* 2004: Robust playfield segmentation using map adaptation
* 2005: Automatic Analysis of Multimodal Group Actions in Meetings
* 2005: Vision-Based Approach for Controlling User Interfaces of Mobile Devices, A
* 2006: Motion-Based Handwriting Recognition for Mobile Interaction
* 2008: Adaptive Motion-Based Gesture Recognition Interface for Mobile Phones
* 2008: On Bin Configuration of Shape Context Descriptors in Human Silhouette Classification
* 2009: Lipreading With Local Spatiotemporal Descriptors
* 2009: Unusual Activity Recognition in Noisy Environments
* 2010: Gradient field descriptor for sketch based retrieval and localization
* 2010: LP norm multiple kernel Fisher discriminant analysis for object and image categorisation
* 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: evaluation of bags-of-words and spatio-temporal shapes for action recognition, An
* 2013: Robust and Scalable Visual Category and Action Recognition System Using Kernel Discriminant Analysis With Spectral Regression, A
* 2014: Robust Multi-Speaker Tracking via Dictionary Learning and Identity Modeling
* 2015: Audio Assisted Robust Visual Tracking With Adaptive Particle Filtering
* 2016: Mean-Shift and Sparse Sampling-Based SMC-PHD Filtering for Audio Informed Visual Speaker Tracking
Includes: Barnard, M. Barnard, M.[Mark]
18 for Barnard, M.
Barnard, S.[Shanis]
* 2014: Kernelized Structural Classification for 3D Dogs Body Parts Detection
* 2020: Feasibility of a kneeling train to improve platform-train interface for passenger boarding and alighting
Includes: Barnard, S.[Shanis] Barnard, S.[Simon]
Barnard, S.T.
* 1979: Disparity Analysis of Images
* 1979: Image Correspondence Problem, The
* 1980: Automated Inspection Using Gray-Scale Statistics
* 1980: Automated Inspection Using Gray-Scale Statistics
* 1980: Disparity Analysis of Images
* 1981: Computational Stereo from an IU Perspective
* 1981: Lower-level Estimates and Interpretation of Visual Motion
* 1982: Computational Stereo
* 1982: Methods for Interpreting Perspective Images
* 1982: Modeling and Using Physical Constraints in Scene Analysis
* 1982: Modeling and Using Physical Constraints in Scene Analysis
* 1983: Interpreting Perspective Images
* 1983: Three-Dimensional Shape from Line Drawings
* 1983: Three-Dimensional Shape from Line Drawings
* 1984: Choosing a Basis for Perceptual Space
* 1986: Stochastic Approach to Stereo Vision, A
* 1987: Stereo Matching by Hierarchial, Microcanonical Annealing
* 1987: Stochastic Approach to Stereo Vision, A
* 1989: Stochastic Stereo Matching over Scale
* 1990: Computational and Biological Models of Stereo Vision
* 1990: Recent Progress in CYCLOPS: A System for Stereo Cartography
Includes: Barnard, S.T. Barnard, S.T.[Stephen T.]
21 for Barnard, S.T.
Barnard, Y.
* 2017: Infrastructure-Assisted Message Dissemination for Supporting Heterogeneous Driving Patterns
Barnathan, M.
* 2009: Representation and Classification Scheme for Tree-Like Structures in Medical Images: Analyzing the Branching Pattern of Ductal Trees in X-ray Galactograms, A
Barnawi, A.[Ahmed]
* 2021: Airborne LiDAR Assisted Obstacle Recognition and Intrusion Detection Towards Unmanned Aerial Vehicle: Architecture, Modeling and Evaluation
* 2023: Path Planning for Energy Management of Smart Maritime Electric Vehicles: A Blockchain-Based Solution
Barnden, L.R.
* 2003: Practical aspects of a data-driven motion correction approach for brain SPECT
Barnea, D.I.
* 1972: Class of Algorithms for Fast Digital Image Registration, A
Barnea, E.[Ehud]
* 2012: Computer vision for fruit harvesting robots: State of the art and challenges ahead
* 2014: Depth Based Object Detection from Partial Pose Estimation of Symmetric Objects
* 2018: Contextual Object Detection with a Few Relevant Neighbors
* 2018: Curve Reconstruction via the Global Statistics of Natural Curves
* 2019: Exploring the Bounds of the Utility of Context for Object Detection
Includes: Barnea, E.[Ehud] Barnea, E.
Barnea, O.
* 2001: Evaluation of center-line extraction algorithms in quantitative coronary angiography
Barnea, S.
* 2005: Automatic Image Sequence Registration Based on a Linear Solution and Scale Invariant Keypoint Matching
* 2007: Registration of Terrestrial Laser Scans via Image Based Features
* 2007: Supervised Approach for Object Extraction from Terrestrial Laser Point Clouds Demonstrated on Trees, A
* 2008: Keypoint based autonomous registration of terrestrial laser point-clouds
* 2008: Segmentation of Terrestrial Laser Scanning Data by Integrating Range and Image Content
* 2010: Geometry-image-intensity combined features for registration of terrestrial laser scans
* 2012: Extraction of Objects from Terrestrial Laser Scans by Integrating Geometry Image and Intensity Data with Demonstration on Trees
* 2013: Segmentation of terrestrial laser scanning data using geometry and image information
Includes: Barnea, S. Barnea, S.[Shahar]
8 for Barnea, S.
Barnefske, E.
* 2019: PCCT: a Point Cloud Classification Tool to Create 3d Training Data To Adjust and Develop 3d Convnet
* 2022: Evaluating the Quality of Semantic Segmented 3D Point Clouds
Includes: Barnefske, E. Barnefske, E.[Eike]
Barnell, M.
* 2002: architecture for sensor data fusion target tracking, An
* 2002: Using optical imagery to enhance radar tracking performance
Barner, F.
* 2009: Automated DSM based Georeferencing of CARTOSAT-1 Stereo Scenes
Barner, K.
* 2000: Joint Region Merging Criteria for Watershed-based Image Segmentation
* 2000: Nonlinear Image Interpolation Through Extended Permutation Filters
* 2006: Color Image Segmentation Using Watersheds and Joint Homogeneity-Edge Integrity Region Merging Criteria
* 2018: Smile Detection in the Wild Based on Transfer Learning
Barner, K.E.
* 1994: Rank Conditioned Rank Selection Filters for Signal Restoration
* 1995: Extended permutation filters and their application to image edge enhancement
* 1995: Permutation weighted order statistic filter lattices
* 1996: Extended Permutation Filters and Their Application to Edge Enhancement
* 1998: Wavelet-based multiresolution edge detection utilizing gray level edge maps
* 1999: Partition-Based Weighted Sum Filters for Image Restoration
* 2000: Multiresolution Permutation Filters Based on Decision Trees
* 2001: Fuzzy Ordering Theory and Its Use in Filter Generalization
* 2001: Special Issue on Nonlinear Signal and Image Processing: Part I
* 2002: Special Issue on Nonlinear Signal and Image Processing: Part II
* 2003: Fuzzy transformation and its applications
* 2003: Multiresolution permutation filter implementations based on acyclic connected graphs
* 2005: Subspace Partition Weighted Sum Filters for Image Restoration
* 2006: Despeckling Utilizing M-Estimators
* 2006: Fuzzy Rank LUM Filters
* 2006: fuzzy transformation and its applications in image processing, The
* 2006: Optimization of Partition-Based Weighted Sum Filters and Their Application to Image Denoising
* 2006: Polynomial Weighted Median Predictors for Image Sequences
* 2006: Quadratic Weighted Median Filters for Edge Enhancement of Noisy Images
* 2007: Computationally Efficient Super-Resolution Algorithm for Video Processing Using Partition Filters, A
* 2007: Polynomial Weighted Median Image Sequence Prediction
* 2007: Rayleigh-Maximum-Likelihood Filtering for Speckle Reduction of Ultrasound Images
* 2007: Texture-Based Infrared Image Segmentation by Combined Merging and Partitioning
* 2012: View: Visual Information Extraction Widget for improving chart images accessibility
* 2013: Kernel-based sparse representation for gesture recognition
* 2013: Locality Constrained Dictionary Learning for Nonlinear Dimensionality Reduction
* 2014: Classification of Histology Sections via Multispectral Convolutional Sparse Coding
* 2015: Stacked Predictive Sparse Decomposition for Classification of Histology Sections
* 2016: Label consistent recursive least squares dictionary learning for image classification
* 2016: Maximum Correntropy Based Dictionary Learning Framework for Physical Activity Recognition Using Wearable Sensors
* 2019: Inductive conformal predictor for convolutional neural networks: Applications to active learning for image classification
* 2020: Graph Neural Networks for Image Understanding Based on Multiple Cues: Group Emotion Recognition and Event Recognition as Use Cases
Includes: Barner, K.E. Barner, K.E.[Kenneth E.]
32 for Barner, K.E.
Barner, S.[Simon]
* 2008: Accelerating Integral Histograms Using an Adaptive Approach
Barnerias, C.
* 2006: Hedges and tree rows detection with E-Cognition for the use of the French national forest inventory
Barnes, A.
* 2014: Attenuation Correction Synthesis for Hybrid PET-MR Scanners: Application to Brain Studies
* 2016: PET Reconstruction With an Anatomical MRI Prior Using Parallel Level Sets
Barnes, B.B.
* 2013: Hybrid Cloud Detection Algorithm to Improve MODIS Sea Surface Temperature Data Quality and Coverage Over the Eastern Gulf of Mexico, A
* 2014: EOF-Based Algorithm to Estimate Chlorophyll a Concentrations in Taihu Lake from MODIS Land-Band Measurements: Implications for Near Real-Time Applications and Forecasting Models, An
* 2015: Cross-Sensor Continuity of Satellite-Derived Water Clarity in the Gulf of Mexico: Insights Into Temporal Aliasing and Implications for Long-Term Water Clarity Assessment
* 2019: Performance of POLYMER Atmospheric Correction of Ocean Color Imagery in the Presence of Absorbing Aerosols
* 2021: Sensitivity of Satellite Ocean Color Data to System Vicarious Calibration of the Long Near Infrared Band
Includes: Barnes, B.B. Barnes, B.B.[Brian B.]
Barnes, C.[Christopher]
* 2009: Better computer vision under video compression, an example using mean shift tracking
* 2009: Robust Surveillance on Compressed Video: Uniform Performance from High to Low Bitrates
* 2010: Generalized PatchMatch Correspondence Algorithm, The
* 2011: PatchMatch Randomized Matching Algorithm for Image Manipulation, The
* 2012: Decoupling Algorithms from Schedules for Easy Optimization of Image Processing Pipelines
* 2012: Target Tracking Using Residual Vector Quantization
* 2014: Camouflaging an Object from Many Viewpoints
* 2016: Airborne S-Band SAR for Forest Biophysical Retrieval in Temperate Mixed Forests of the UK
* 2017: Individual Tree Crown Delineation from Airborne Laser Scanning for Diseased Larch Forest Stands
* 2018: Halide: Decoupling Algorithms from Schedules For High-Performance Image Processing
* 2018: Learning to Detect Multiple Photographic Defects
* 2018: Where and Who? Automatic Semantic-Aware Person Composition
* 2019: Foreground-Aware Image Inpainting
* 2019: On the Continuity of Rotation Representations in Neural Networks
* 2019: Texture Mixer: A Network for Controllable Synthesis and Interpolation of Texture
* 2020: Unselfie: Translating Selfies to Neutral-pose Portraits in the Wild
* 2021: Modulated Periodic Activations for Generalizable Local Functional Representations
* 2021: TransFill: Reference-guided Image Inpainting by Merging Multiple Color and Spatial Transformations
* 2022: Deep 360° Optical Flow Estimation Based on Multi-projection Fusion
* 2022: Image Inpainting with Cascaded Modulation GAN and Object-Aware Training
* 2022: Inpainting at Modern Camera Resolution by Guided PatchMatch with Auto-curation
* 2022: Perceptual Artifacts Localization for Inpainting
* 2023: Automatic High Resolution Wire Segmentation and Removal
* 2023: GeoFill: Reference-Based Image Inpainting with Better Geometric Understanding
* 2023: Perceptual Artifacts Localization for Image Synthesis Tasks
* 2023: SimpSON: Simplifying Photo Cleanup with Single-Click Distracting Object Segmentation Network
Includes: Barnes, C.[Christopher] Barnes, C.[Connelly] Barnes, C.[Chloe] Barnes, C.
26 for Barnes, C.
Barnes, C.F.
* 1994: Adaptive successive approximation quantization of image waveforms with efficient codebook updates
* 1995: Image coding using entropy-constrained residual vector quantization
* 1996: Advances in Residual Vector Quantization: A Review
* 2006: Vector Quantization in SPIHT Image Codec
* 2007: Hurricane Disaster Assessments With Image-Driven Data Mining in High-Resolution Satellite Imagery
* 2007: Image-Driven Data Mining for Image Content Segmentation, Classification, and Attribution
* 2008: Slant Plane CSAR Processing Using Householder Transform
* 2018: In Situ Volumetric SAR
Includes: Barnes, C.F. Barnes, C.F.[Christopher F.]
8 for Barnes, C.F.
Barnes, C.H.W.[Crispin H. W.]
* 2023: Greening and Browning Trends on the Pacific Slope of Peru and Northern Chile
Barnes, C.S.
* 1996: Binary Decision Clustering for Neural-Network-Based Optical Character-Recognition
Barnes, C.W.
* 1966: Object Restoration in a Diffraction Limited Imaging System
Barnes, D.
* 1997: Characterization of dynamic 3-D PET imaging for functional brain mapping
* 2010: Combining support vector machines and information gain ranking for classification of Mars McMurdo panorama images
* 2012: new shape from shading technique with application to Mars Express HRSC images, A
* 2013: Fuzzy-rough feature selection aided support vector machines for Mars image classification
Includes: Barnes, D. Barnes, D.[Dave]
Barnes, D.K.[Dustin K.]
* 2020: SAT-CNN: A Small Neural Network for Object Recognition from Satellite Imagery
Barnes, E.[Eustace]
* 2023: Greening and Browning Trends on the Pacific Slope of Peru and Northern Chile
Barnes, E.M.
* 1997: Opportunities and Limitations for Image Based Remote Sensing in Precision Crop Management
Barnes, E.R.
* 2010: Near Real-Time Fuel-Optimal En Route Conflict Resolution
Barnes, G.
* 2017: new deep-learning approach for early detection of shape variations in autism using structural mri, A
* 2018: Towards Personalized Autism Diagnosis: Promising Results
* 2022: Georeferencing oblique PhenoCam imagery
* 2022: Understanding Autism Using Machine Learning: A Structural MRI Study
Includes: Barnes, G. Barnes, G.[Grenville] Barnes, G.[Gregory]
Barnes, G.A.
* 1994: Digital Image Processing
Barnes, G.N.
* 2017: novel CAD system for local and global early diagnosis of Alzheimer's disease based on PIB-PET scans, A
* 2018: Significant Region-Based Framework for Early Diagnosis of Alzheimer's Disease Using11C PiB-PET Scans
Barnes, J.[Josephine]
* 2010: Nonlinear Elastic Spline Registration: Evaluation with Longitudinal Huntington's Disease Data
* 2015: Bayesian Model Selection for Pathological Neuroimaging Data Applied to White Matter Lesion Segmentation
Includes: Barnes, J.[Josephine] Barnes, J.
Barnes, J.L.[Jennifer L.]
* 2019: Giving Ecological Meaning to Satellite-Derived Fire Severity Metrics across North American Forests
Barnes, L.[Laura]
* 2021: MEDIRL: Predicting the Visual Attention of Drivers via Maximum Entropy Deep Inverse Reinforcement Learning
Barnes, M.[Michael]
* 2009: Boosting minimalist classifiers for blemish detection in potatoes
* 2010: Minimalist AdaBoost for Blemish Identification in Potatoes
Barnes, M.J.
* 2014: Human-Agent Teaming for Multirobot Control: A Review of Human Factors Issues
* 2016: Effect of Agent Reasoning Transparency on Automation Bias: An Analysis of Response Performance, The
* 2020: IMPACT of Agent Transparency on Human Performance, The
Includes: Barnes, M.J. Barnes, M.J.[Michael J.]
Barnes, M.L.[Mallory Liebl]
* 2021: Detecting Winter Cover Crops and Crop Residues in the Midwest US Using Machine Learning Classification of Thermal and Optical Imagery
Barnes, N.
* 2011: Stereo Matching Using Sub-segmentation and Robust Higher-Order Graph Cut
* 2013: Exploiting Sparsity for Real Time Video Labelling
* 2016: Exploiting Large Image Sets for Road Scene Parsing
* 2017: Double-Guided Filtering: Image Smoothing with Structure and Texture Guidance
* 2017: DSD: Depth Structural Descriptor for Edge-Based Assistive Navigation
* 2017: HOSO: Histogram of Surface Orientation for RGB-D Salient Object Detection
* 2017: Photo-Realistic Simulation of Road Scene for Data-Driven Methods in Bad Weather
* 2018: Deep Multiple Instance Learning for Zero-Shot Image Tagging
* 2019: Real Image Denoising With Feature Attention
* 2019: Transductive Learning for Zero-Shot Object Detection
* 2020: Deep0Tag: Deep Multiple Instance Learning for Zero-Shot Image Tagging
* 2020: Fast Image Reconstruction with an Event Camera
* 2020: From Depth What Can You See? Depth Completion via Auxiliary Image Reconstruction
* 2020: UC-Net: Uncertainty Inspired RGB-D Saliency Detection via Conditional Variational Autoencoders
* 2022: Uncertainty Inspired RGB-D Saliency Detection
* 2023: Vicinity Vision Transformer
Includes: Barnes, N. Barnes, N.[Nick]
16 for Barnes, N.
Barnes, N.M.
* 1999: Knowledge-Based Shape-from-Shading
* 2000: Direction Control for an Active Docking Behaviour based on the Rotational Component of Log-Polar Optic Flow
* 2000: Vision guided circumnavigating autonomous robots
* 2002: Knowledge-based Vision-Guided Robots
* 2002: Towards log-polar fixation for mobile robots: Analysis of corner tracking on the log-polar camera
* 2004: Embodied categorisation for vision-guided mobile robots
* 2004: Fast Shape-based Road Sign Detection for a Driver Assistance System
* 2004: Non-linear voting in the space variant Hough transform
* 2004: Principal flow for tubular objects with non-circular cross-sections
* 2004: Real-time radial symmetry for speed sign detection
* 2005: Regular Polygon Detection
* 2007: Estimation of the Epipole using Optical Flow at Antipodal Points
* 2007: MAP ZDF segmentation and tracking using active stereo vision: Hand tracking case study
* 2007: MRF and Gaussian Curvature Based Shape Representation for Shape Matching, An
* 2008: Directions of egomotion from antipodal points
* 2008: Real-Time Speed Sign Detection Using the Radial Symmetry Detector
* 2008: Towards a Hazard Perception Assistance System using Visual Motion
* 2009: Applying Sum and Max Product Algorithms of Belief Propagation to 3D Shape Matching and Registration
* 2009: Identifying Anatomical Shape Difference by Regularized Discriminative Direction
* 2009: Perspective Invariant Angle Ordering
* 2009: Rotation Averaging with Application to Camera-Rig Calibration
* 2010: Asymmetric Totally-Corrective Boosting for Real-Time Object Detection
* 2010: Estimating Relative Camera Motion from the Antipodal-Epipolar Constraint
* 2010: Estimation of the Epipole using Optical Flow at Antipodal Points
* 2010: regular polygon detector, The
* 2010: Sparse Update for Loopy Belief Propagation: Fast Dense Registration for Large State Spaces
* 2010: Surface Extraction from Iso-disparity Contours
* 2010: Totally-Corrective Multi-class Boosting
* 2011: Laplacian Margin Distribution Boosting for Learning from Sparsely Labeled Data
* 2011: Simple and Practical Solution to the Rigid Body Motion Segmentation Problem Using a RGB-D Camera, A
* 2012: Glass object localization by joint inference of boundary and depth
* 2012: Learning Hough Forest with Depth-Encoded Context for Object Detection
* 2012: Maximal Cliques Based Rigid Body Motion Segmentation with a RGB-D Camera
* 2012: role of computer vision in prosthetic vision, The
* 2012: Unified Strategy for Landing and Docking Using Spherical Flow Divergence, A
* 2013: 1-Point Rigid Motion Estimation and Segmentation with a RGB-D Camera
* 2013: Glass object segmentation by label transfer on joint depth and appearance manifolds
* 2013: Learning Structured Hough Voting for Joint Object Detection and Occlusion Reasoning
* 2013: overview of vision processing in implantable prosthetic vision, An
* 2014: Data-driven road detection
* 2014: Large-scale semantic co-labeling of image sets
* 2015: Motion Segmentation of Truncated Signed Distance Function Based Volumetric Surfaces
* 2016: Efficient transductive semantic segmentation
* 2016: Learning Hough Transform with Latent Structures for Joint Object Detection and Pose Estimation
* 2016: Local Background Enclosure for RGB-D Salient Object Detection
* 2016: Semantic labeling for prosthetic vision
* 2017: Learning Camera Pose from Optical Colonoscopy Frames Through Deep Convolutional Neural Network (CNN)
* 2017: Learning RGB-D Salient Object Detection Using Background Enclosure, Depth Contrast, and Top-Down Features
* 2018: 3-D Shape Matching and Non-Rigid Correspondence for Hippocampi Based on Markov Random Fields
* 2018: Adversarial Training of Variational Auto-Encoders for High Fidelity Image Generation
* 2018: Continuous-Time Intensity Estimation Using Event Cameras
* 2018: Deep Texture and Structure Aware Filtering Network for Image Smoothing
* 2019: Silhouette-Assisted 3D Object Instance Reconstruction from a Cluttered Scene
* 2019: Unsupervised Primitive Discovery for Improved 3D Generative Modeling
* 2020: 3D Guided Weakly Supervised Semantic Segmentation
* 2020: Any-shot Object Detection
* 2020: Blended Convolution and Synthesis for Efficient Discrimination of 3D Shapes
* 2020: Deep Journey into Super-Resolution: A Survey, A
* 2020: From known to the unknown: Transferring knowledge to answer questions about novel visual and semantic concepts
* 2020: Geometry to the Rescue: 3D Instance Reconstruction from a Cluttered Scene
* 2020: Learning Noise-aware Encoder-decoder from Noisy Labels by Alternating Back-propagation for Saliency Detection
* 2020: Network-based structure flow estimation
* 2020: Reducing the Sim-to-real Gap for Event Cameras
* 2020: Representation Learning on Unit Ball with 3D Roto-translational Equivariance
* 2021: Accuracy vs. complexity: A trade-off in visual question answering models
* 2021: Dense-Resolution Network for Point Cloud Classification and Segmentation
* 2021: Learning Saliency From Single Noisy Labelling: A Robust Model Fitting Perspective
* 2021: Learning to Segment Dominant Object Motion from Watching Videos
* 2021: Question-Agnostic Attention for Visual Question Answering
* 2021: RGB-D Saliency Detection via Cascaded Mutual Information Minimization
* 2021: Semantic Segmentation for Real Point Cloud Scenes via Bilateral Augmentation and Adaptive Fusion
* 2021: Simultaneously Localize, Segment and Rank the Camouflaged Objects
* 2021: Weakly Supervised Video Salient Object Detection
* 2022: Densely Residual Laplacian Super-Resolution
* 2022: Depth Completion Auto-Encoder
* 2022: Efficient Gaussian Process Model on Class-Imbalanced Datasets for Generalized Zero-Shot Learning
* 2022: Geometric Back-Projection Network for Point Cloud Classification
* 2022: Inferring the Class Conditional Response Map for Weakly Supervised Semantic Segmentation
* 2022: Modeling Aleatoric Uncertainty for Camouflaged Object Detection
* 2022: Multi-Modal Transformer for RGB-D Salient Object Detection
* 2022: PU-Transformer: Point Cloud Upsampling Transformer
* 2022: Towards Open-Set Object Detection and Discovery
* 2023: All-Pairs Consistency Learning for Weakly Supervised Semantic Segmentation
* 2023: Energy-Based Prior for Generative Saliency, An
* 2023: Learning Audio-Visual Source Localization via False Negative Aware Contrastive Learning
* 2023: Model Calibration in Dense Classification with Adaptive Label Perturbation
* 2023: P2C: Self-Supervised Point Cloud Completion from Single Partial Clouds
* 2023: PnP-3D: A Plug-and-Play for 3D Point Clouds
* 2023: Toward Deeper Understanding of Camouflaged Object Detection
* 2024: Weakly-Supervised Contrastive Learning for Unsupervised Object Discovery
Includes: Barnes, N.M. Barnes, N.M.[Nick M.]
90 for Barnes, N.M.
Barnes, R.[Robert]
* 2024: Noninvasive Early Detection of Nutrient Deficiencies in Greenhouse-Grown Industrial Hemp Using Hyperspectral Imaging
Barnes, R.A.
* 1998: Calibration Strategy for the Earth Observing System (EOS)-AM1 Platform
Barnes, R.D.
* 2014: Simple, effective rate control for video distribution in heterogeneous intelligent transportation system networks
Barnes, R.E.[R. Eric]
* 2023: DBATES: Dataset for Discerning Benefits of Audio, Textual, and Facial Expression Features in Competitive Debate Speeches
Barnes, R.R.[Robert R.]
* 1982: Driver alert system
Barnes, W.E.
* 1980: Decomposition of Image Sequnces of Overlapping Homogeneous Transparent Radiating Objects
Barnes, W.L.
* 2005: Terra MODIS on-orbit spatial characterization and performance
* 2006: Terra MODIS On-Orbit Spectral Characterization and Performance
* 2007: Multiyear On-Orbit Calibration and Performance of Terra MODIS Reflective Solar Bands
* 2008: Multiyear On-Orbit Calibration and Performance of Terra MODIS Thermal Emissive Bands
* 2009: MODIS Onboard Blackbody Function and Performance
* 2010: On-Orbit Calibration and Performance of Aqua MODIS Reflective Solar Bands
* 2015: Terra and Aqua MODIS Thermal Emissive Bands On-Orbit Calibration and Performance
Includes: Barnes, W.L. Barnes, W.L.[William L.]
7 for Barnes, W.L.
Barnet, C.[Christopher]
* 2022: Evaluating Satellite Sounders for Monitoring the Tropical Cyclone Environment in Operational Forecasting
Barnet, C.D.
* 2008: Vertical Resolution Estimates in Version 5 of AIRS Operational Retrievals
* 2013: Methodology and Information Content of the NOAA NESDIS Operational Channel Selection for the Cross-Track Infrared Sounder (CrIS)
* 2018: Validation of Atmospheric Profile Retrievals From the SNPP NOAA-Unique Combined Atmospheric Processing System. Part 1: Temperature and Moisture
* 2018: Validation of Atmospheric Profile Retrievals from the SNPP NOAA-Unique Combined Atmospheric Processing System. Part 2: Ozone
* 2019: Uncertainty Characterization and Propagation in the Community Long-Term Infrared Microwave Combined Atmospheric Product System (CLIMCAPS)
* 2020: Adapting Satellite Soundings for Operational Forecasting within the Hazardous Weather Testbed
* 2023: Evaluating the Value of CrIS Shortwave-Infrared Channels in Atmospheric-Sounding Retrievals
Includes: Barnet, C.D. Barnet, C.D.[Christopher D.] Barnet, C.D.[Chris D.]
7 for Barnet, C.D.
Barnetson, J.[Jason]
* 2024: Validating Digital Earth Australia NBART for the Landsat 9 Underfly of Landsat 8
Barnett, A.[Alex]
* 2017: Rapid Solution of the Cryo-EM Reconstruction Problem by Frequency Marching
Barnett, A.H.[Alex H.]
* 2021: Recovering Missing Data in Coherent Diffraction Imaging
Barnett, A.J.[Alina Jade]
* 2022: Deformable ProtoPNet: An Interpretable Image Classifier Using Deformable Prototypes
Barnett, B.
* 1996: Motion-Compensated Visual-Pattern Image Sequence Coding for Full-Motion Multisession Videoconferencing on Multimedia Workstations
* 1999: stereo visual pattern image coding system, A
Barnett, J.
* 2014: Prelaunch Radiometric Calibration of the HIRDLS Flight Instrument: Results and Use in On-Orbit Data Processing
Barnett, J.A.
* 1991: Calculating Dempster-Shafer Plausibility
Barnett, J.J.
* 2006: Overview of the EOS Aura Mission
Barnett, K.
* 1989: Analysis of Thermal Infrared and Visual Images for Industrial Inspection Tasks
Barnett, M.[Michael]
* 2023: Decompose to Adapt: Cross-Domain Object Detection Via Feature Disentanglement
Barnett, R.
* 1998: Attack Operators for Digitally Watermarked Images
* 2014: Postreconstruction Nonlocal Means Filtering of Whole-Body PET With an Anatomical Prior
Barnett, S.J.
* 2017: Multiscale Shannon's Entropy Modeling of Orientation and Distance in Steel Fiber Micro-Tomography Data
Barneva, R.P.[Reneta P.]
* 2002: Object Discretizations in Higher Dimensions
* 2005: Number of Gaps in Binary Pictures, The
* 2006: Polyhedrization of Discrete Convex Volumes
* 2008: Linear Time Constant-Working Space Algorithm for Computing the Genus of a Digital Object
* 2008: Offset Approach to Defining 3D Digital Lines
* 2009: Advances in combinatorial image analysis
* 2009: Combining ubiquitous direction-sensitive digitizing with a multimedia electronic dictionary for enhanced understanding
* 2009: Guest editorial: Contemporary challenges in combinatorial image analysis
* 2009: Minimal Offsets That Guarantee Maximal or Minimal Connectivity of Digital Curves in nD
* 2009: Theoretical Issues of Cluster Pattern Interfaces
* 2010: Digital Stars and Visibility of Digital Objects
* 2012: Digital Geometry Algorithms
* 2020: Dealing with Noise in Cluster Pattern Interface
13 for Barneva, R.P.
Barney Smith, E.H.[Elisa H.]
* 2002: Relating Statistical Image Differences and Degradation Features
* 2003: Estimating degradation model parameters from character images
* 2004: Reports of the DAS02 working groups
* 2004: Statistical image differences, degradation features, and character distance metrics
* 2005: Text degradations and OCR training
* 2006: DIAL 2004 Working Group Report on Acquisition Quality Control
* 2007: Human Image Preference and Document Degradation Models
* 2008: Ballot mark detection
* 2009: Camera-Based Ballot Counter
* 2009: Pre-Processing of Degraded Printed Documents by Non-local Means and Total Variation
* 2009: Style-Based Ballot Mark Recognition
* 2011: Enhancement of historical printed document images by combining Total Variation regularization and Non-local Means filtering
* 2011: Evaluation of Voting with Form Dropout Techniques for Ballot Vote Counting
* 2011: Extending Page Segmentation Algorithms for Mixed-Layout Document Processing
* 2011: Towards Improved Paper-Based Election Technology
* 2015: Effects of clustering algorithms on typographic reconstruction
Includes: Barney Smith, E.H.[Elisa H.] Barney-Smith, E.H.
16 for Barney Smith, E.H.
Barney, D.
* 2006: Near-Lossless Compression of Hyperspectral Images
* 2012: Near-lossless and lossy compression of imaging spectrometer data: comparison of information extraction performance
Includes: Barney, D. Barney, D.[Dane]
Barngrover, C.[Christopher]
* 2011: JBoost Optimization of Color Detectors for Autonomous Underwater Vehicle Navigation
Barnhart, C.
* 2014: Comparing Optimal Relocation Operations With Simulated Relocation Policies in One-Way Carsharing Systems
Barnhart, T.B.[Theodore B.]
* 2013: Comparing Two Methods of Surface Change Detection on an Evolving Thermokarst Using High-Temporal-Frequency Terrestrial Laser Scanning, Selawik River, Alaska
Barnhart, W.D.[William D.]
* 2019: Global Earthquake Response with Imaging Geodesy: Recent Examples from the USGS NEIC
Barnhill, E.
* 2019: Fast Robust Dejitter and Interslice Discontinuity Removal in MRI Phase Acquisitions: Application to Magnetic Resonance Elastography
Barnhill, R.E.
* 1978: New Twist in Computer Aided Geometric Design, A
* 1983: Survey of the Representation and Design of Surfaces, A
* 1987: Surface/Surface Intersection
* 1990: marching method for parametric surface/surface intersection, A
Barnhill, S.D.[Stephen D.]
* 2006: Computer-aided image analysis
* 2008: Computer-aided image analysis
Barni, M.
* 1995: intelligent perception system for food quality inspection using color analysis, An
* 1995: Optimum linear approximation of the Euclidean norm to speed up vector median filtering
* 1995: vision system for automatic inspection of meat quality, A
* 1996: Unsupervised detection of straight lines through possibilistic clustering
* 1997: Color-Based Detection of Defects on Chicken Meat
* 1997: DCT-Based Watermark Recovering without Resorting to the Uncorrupted Original Image
* 1997: Fast Algorithm for 1-Norm Vector Median Filtering, A
* 1997: Integration of spatio-temporal information for motion detection by means of fuzzy reasoning
* 1997: Using a wavelet-based fractal feature to improve texture discrimination on SAR images
* 1998: Copyright Protection of Digital Images by Embedded Unperceivable Marks
* 1998: DCT Domain System for Robust Image Watermarking, A
* 1998: Mask building for perceptually hiding frequency embedded watermarks
* 1999: Exploiting the Cross-Correlation of RGB-channels for Rubust Watermarking of Color Images
* 1999: new possibilistic clustering algorithm for line detection in real world imagery, A
* 1999: Regularization of Optic Flow Estimates by Means of Weighted Vector Median Filtering
* 2000: Capacity of Full Frame DCT Image Watermarks
* 2000: Craters Detection Via Possibilistic Shell Clustering
* 2000: Multichannel M-filtering for Color Image Restoration
* 2000: Quasi-Euclidean Norm to Speed Up Vector Median Filtering, A
* 2001: From watermark detection to watermark decoding: a PPM approach
* 2001: Image authentication techniques for surveillance applications
* 2001: Image Segmentation and Region Filling for Virtual Restoration of Artworks
* 2001: improved H.263 video coder relying on weighted median filtering of motion vectors, An
* 2001: Improved wavelet-based watermarking through pixel-wise masking
* 2001: Information theoretic aspects in digital watermarking
* 2001: new decoder for the optimum recovery of nonadditive watermarks, A
* 2001: Text-based Geometric Normalization for Robust Watermarking of Digital Maps
* 2002: Multichannel watermarking of color images
* 2002: Robust Watermarking of Cartographic Images
* 2002: Special Issue: Emerging Applications of Multimedia Data Hiding
* 2003: New Self-Recovery Technique for Image Authentication, A
* 2005: Data hiding technologies for digital radiography
* 2005: Effectiveness of Exhaustive Search and Template Matching Against Watermark Desynchronization
* 2005: Improved Low-Complexity Intraband Lossless Compression of Hyperspectral Images by Means of Slepian-Wolf Coding
* 2005: Objective Evaluation of the Perceptual Quality of 3D Watermarking
* 2006: Joint near-lossless compression and watermarking of still images for authentication and tamper localization
* 2007: Watermarked 3-D Mesh Quality Assessment
* 2008: Detection of ±1 LSB steganography based on the amplitude of histogram local extrema
* 2008: Discrete cosine transform of encrypted images
* 2009: compressive-sensing based watermarking scheme for sparse image tampering identification, A
* 2009: Watermark Embedding and Recovery in the Presence of C-LPCD De-synchronization Attacks
* 2010: Error-Resilient and Low-Complexity Onboard Lossless Compression of Hyperspectral Images by Means of Distributed Source Coding
* 2010: Full-Reference Quality Metric for Geometrically Distorted Images, A
* 2010: Low-complexity lossy compression of hyperspectral images via informed quantization
* 2012: efficient protocol for private iris-code matching by means of garbled circuits, An
* 2012: Emerging cryptographic challenges in image and video processing
* 2012: fuzzy approach to deal with uncertainty in image forensics, A
* 2013: Counter-forensics of SIFT-based copy-move detection by means of keypoint classification
* 2014: Multiple parenting identification in image phylogeny
* 2014: Universal Counterforensics of Multiple Compressed JPEG Images
* 2015: Privacy Protection in Biometric-Based Recognition Systems: A marriage between cryptography and signal processing
* 2015: Second-Order Statistics Analysis to Cope With Contrast Enhancement Counter-Forensics
* 2018: CNN-Based Detection of Generic Contrast Adjustment with JPEG Post-Processing
* 2018: Improved Statistic for the Pooled Triangle Test Against PRNU-Copy Attack, An
* 2019: New Backdoor Attack in CNNS by Training Set Corruption Without Label Poisoning, A
* 2019: SEMBA: secure multi-biometric authentication
* 2020: Adversarial examples for replay attacks against CNN-based face recognition with anti-spoofing capability
* 2020: CNN-based steganalysis and parametric adversarial embedding:A game-theoretic framework
* 2020: Increased-confidence Adversarial Examples for Deep Learning Counter-forensics
* 2020: Primary Quantization Matrix Estimation of Double Compressed JPEG Images via CNN
* 2021: Master Key backdoor for universal impersonation attack against DNN-based face verification, A
* 2022: Improving Cost Learning for JPEG Steganography by Exploiting JPEG Domain Knowledge
* 2022: Integrity of Multimedia and Multimodal Data: From Capture to Use
* 2023: Open Set Classification of GAN-based Image Manipulations via a ViT-based Hybrid Architecture
* 2023: Universal BlackMarks: Key-Image-Free Blackbox Multi-Bit Watermarking of Deep Neural Networks
* 2024: One-Class Classifier for the Detection of GAN Manipulated Multi-Spectral Satellite Images, A
* 2024: siamese-based verification system for open-set architecture attribution of synthetic images, A
Includes: Barni, M. Barni, M.[Mauro]
67 for Barni, M.
Barnich, O.[Olivier]
* 2005: Design of Statistical Measures for the Assessment of Image Segmentation Schemes
* 2006: Robust Analysis of Silhouettes by Morphological Size Distributions
* 2009: Combining Color, Depth, and Motion for Video Segmentation
* 2009: Frontal-view gait recognition by intra- and inter-frame rectangle size distribution
* 2010: platform for the fast interpretation of movements and localization of users in 3D applications driven by a range camera, A
* 2010: Virtual Curtain for the Detection of Humans and Access Control, A
* 2011: ViBe: A Universal Background Subtraction Algorithm for Video Sequences
* 2021: Camera Calibration and Player Localization in SoccerNet-v2 and Investigation of their Representations for Action Spotting
Includes: Barnich, O.[Olivier] Barnich, O.
8 for Barnich, O.
Barnieh, B.A.[Beatrice Asenso]
* 2022: Calibration and Validation of SWAT Model by Using Hydrological Remote Sensing Observables in the Lake Chad Basin
Barniv, Y.
* 2006: Head motion anticipation for virtual-environment applications using kinematics and EMG energy
Barnoud, A.[Anne]
* 2021: Sea-Level Fingerprints Due to Present-Day Water Mass Redistribution in Observed Sea-Level Data
Barnsley, M.F.[Michael F.]
* 1993: Fractal Image Compression
* 2009: Measure-Valued Images, Associated Fractal Transforms, and the Affine Self-Similarity of Images
* 2011: How to Transform and Filter Images Using Iterated Function Systems
Includes: Barnsley, M.F.[Michael F.] Barnsley, M.F.
Barnsley, M.J.
* 2010: Improvements in Aerosol Optical Depth Estimation Using Multiangle CHRIS/PROBA Images
Barnum, P.C.[Peter C.]
* 2009: projector-camera system for creating a display with water drops, A
* 2010: Analysis of Rain and Snow in Frequency Space
* 2012: Fast reactive control for illumination through rain and snow
Includes: Barnum, P.C.[Peter C.] Barnum, P.C.
Barnwal, S.[Surbhi]
* 2021: Species-Level Classification and Mapping of a Mangrove Forest Using Random Forest: Utilisation of AVIRIS-NG and Sentinel Data
Barnwell, J.[John]
* 2006: Instant replay using high speed motion capture and projected overlay
Barnwell, P.[Peter]
* 1993: non-linear shape abstraction technique, A