Index for burg

Burg, A. * 2012: Analysis and VLSI Implementation of EWA Rendering for Real-Time HD Video Applications

Burg, A.P.[Andreas P.] * 2011: FPGA-based processing pipeline for high-definition stereo video, An

Burg, R.I. * 2007: Principal Component Analysis of Remote Sensing of Aerosols Over Oceans

Burg, S. * 2011: Grouping/degrouping point process, a point process driven by geometrical and topological properties of a partition in regions

Burgain, P. * 2012: Optimizing Pushback Decisions to Valuate Airport Surface Surveillance Information
* 2014: Valuating Surface Surveillance Technology for Collaborative Multiple-Spot Control of Airport Departure Operations

Burgard, W.[Wolfram] * 1997: Active Mobile Robot Localization
* 1997: Probabilistic Approach for Concurrent Map Acquisition and Localization for Mobile Robots, A
* 1998: Experiences with an interactive museum tour-guide robot
* 1999: Experiences with an interactive museum tour-guide robot
* 1999: Using the Condensation Algorithm for Robust, Vision-based Mobile Robot Localization
* 2001: Tracking Multiple Moving Objects with a Mobile Robot
* 2002: System for Three-Dimensional Robotic Mapping of Underground Mines, A
* 2002: Using an Image Retrieval System for Vision-Based Mobile Robot Localization
* 2003: efficient FastSLAM algorithm for generating maps of large-scale cyclic environments from raw laser range measurements, An
* 2003: Utilizing Learned Motion Patterns to Robustly Track Persons
* 2005: Vision-Based 3D Object Localization Using Probabilistic Models of Appearance
* 2006: Multi level surface maps for outdoor terrain mapping and loop closing
* 2009: Nonlinear Constraint Network Optimization for Efficient Map Learning
* 2010: Learning Non-stationary System Dynamics Online Using Gaussian Processes
* 2020: Neural Ray Surfaces for Self-Supervised Learning of Depth and Ego-motion
* 2020: Self-Supervised Model Adaptation for Multimodal Semantic Segmentation
* 2021: Holistic Filter Pruning for Efficient Deep Neural Networks
* 2021: Learning to Track with Object Permanence
* 2021: Sparse Auxiliary Networks for Unified Monocular Depth Prediction and Completion
* 2023: CoVIO: Online Continual Learning for Visual-Inertial Odometry
* 2023: Learning and Aggregating Lane Graphs for Urban Automated Driving
* 2023: SkyEye: Self-Supervised Bird's-Eye-View Semantic Mapping Using Monocular Frontal View Images
Includes: Burgard, W.[Wolfram] Burgard, W.
22 for Burgard, W.

Burgbacher, J.[Johannes] * 2021: Transferable Model for Shape Optimization subject to Physical Constraints

Burgbacher, U. * 2017: Synthetic Word Gesture Generation for Stroke-Based Virtual Keyboards

Burgdorf, M.[Martin] * 2019: Onboard Radio Frequency Interference as the Origin of Inter-Satellite Biases for Microwave Humidity Sounders
* 2019: Uncertainty Quantified Fundamental Climate Data Record for Microwave Humidity Sounders, An
* 2020: Study of Lunar Microwave Radiation Based on Satellite Observations, A
* 2022: Calibrated Lunar Microwave Radiative Transfer Model Based on Satellite Observations, A

Burgdorf, M.J.[Martin J.] * 2020: Characterization of the High-Resolution Infrared Radiation Sounder Using Lunar Observations

Burgdorfer, N.[Nathaniel] * 2023: V-FUSE: Volumetric Depth Map Fusion with Long-Range Constraints

Burge, M.[Mark] * 1995: Extracting words and multi-part symbols in graphics rich documents
* 1996: Learning to recognize generic visual categories using a hybrid structural approach
* 1996: Recognition and Learning With Polymorphic Structural Components
* 1999: Ear Biometrics
* 2000: Ear Biometrics in Computer Vision
* 2015: Pushing the frontiers of unconstrained face detection and recognition: IARPA Janus Benchmark A
Includes: Burge, M.[Mark] Burge, M.

Burge, M.J.[Mark J.] * 2007: Digital Image Processing: An Algorithmic Approach Using Java
* 2009: Principles of Digital Image Processing: Core Algorithms
* 2009: Principles of Digital Image Processing: Fundamental Techniques
* 2013: Handbook of Iris Recognition
* 2013: Principles of Digital Image Processing: Advanced Methods

Burge, O.R.[Olivia R.] * 2020: National Scale 3D Mapping of Soil pH Using a Data Augmentation Approach

Burge, R.E. * 1981: Adaptive Transform Image Data Compression Scheme Incorporating Pattern Recognition Procedures, An
* 1982: Adaptive Bit Allocation for Image Compression
* 1985: On Different Methods Based on the Karhunen-Loeve Expansion and Used in Image Analysis
* 1986: Adaptive Asteroid Zonal Filter for Data Compression, An
* 1988: New Algorithm for Extracting the Interior of Bounded Regions Based on Chain Coding, A
* 1992: Automatic Detection of Targets Against Cluttered Backgrounds Using a Fractal-Oriented Statistical Analysis and Radon Transform

Burgel, F.[Florian] * 2021: Shape from Caustics: Reconstruction of 3D-Printed Glass from Simulated Caustic Images
Includes: Burgel, F.[Florian] Bürgel, F.[Florian] (Maybe also Buergel, F.)

Burger, A. * 2007: Using behavior analysis algorithms to anticipate security threats before they impact mission critical operations
* 2011: Naturalistic data sets for image and behavior analysis: normal versus anomalous events
* 2023: Empowering Wildlife Guardians: An Equitable Digital Stewardship and Reward System for Biodiversity Conservation Using Deep Learning and 3/4G Camera Traps
Includes: Burger, A. Burger, A.[André]

Burger, B.[Brice] * 2008: Multimodal Interaction Abilities for a Robot Companion
* 2013: Real-Time GPU-Based Ultrasound Simulation Using Deformable Mesh Models
Includes: Burger, B.[Brice] Burger, B.

Burger, C. * 2007: Fusion of Positron Emission Tomography (PET) and Gene Array Data: A New Approach for the Correlative Analysis of Molecular Biological and Clinical Data

Burger, F.[Fabian] * 2013: Unsupervised Segmentation of Anomalies in Sequential Data, Images and Volumetric Data Using Multiscale Fourier Phase-Only Analysis
* 2019: Geodetic Mass Balances and Area Changes of Echaurren Norte Glacier (Central Andes, Chile) between 1955 and 2015
* 2021: Let's Get Dirty: GAN Based Data Augmentation for Camera Lens Soiling Detection in Autonomous Driving
Includes: Burger, F.[Fabian] Bürger, F.[Fabian] (Maybe also Buerger, F.)Burger, F.[Flavia]

Burger, G. * 1988: Characterization and Featuring of Histological Section Images

Burger, H.C.[Harold Christopher] * 2011: Improving Denoising Algorithms via a Multi-scale Meta-procedure
* 2011: Removing noise from astronomical images using a pixel-specific noise model
* 2012: Image denoising: Can plain neural networks compete with BM3D?
* 2013: Learning How to Combine Internal and External Denoising Methods
* 2013: Machine Learning Approach for Non-blind Image Deconvolution, A
Includes: Burger, H.C.[Harold Christopher] Burger, H.C. Burger, H.C.[Harold C.]

Burger, I.A.[Irene A.] * 2023: Investigation of Stochastic Variance Reduction Algorithms for Relative Difference Penalized 3D PET Image Reconstruction, An

Burger, J.[Jacopo] * 2023: Extrinsic Calibration of Multiple Depth Cameras for 3d Face Reconstruction

Burger, M.[Martin] * 2004: Scene and Motion Reconstruction from Defocused and Motion-Blurred Images via Anisotropic Diffusion
* 2006: Iterative Total Variation Regularization with Non-Quadratic Fidelity
* 2008: Shape from Defocus via Diffusion
* 2009: Bregman-EM-TV Methods with Application to Optical Nanoscopy
* 2009: Cahn-Hilliard Inpainting And A Generalization For Grayvalue Images
* 2009: Total Variation Processing of Images with Poisson Statistics
* 2010: Bregmanized Nonlocal Regularization for Deconvolution and Sparse Reconstruction
* 2011: Primal and Dual Bregman Methods with Application to Optical Nanoscopy
* 2012: Atlas-Based Whole-Body PET-CT Segmentation Using a Passive Contour Distance
* 2012: Motion Correction in Dual Gated Cardiac PET Using Mass-Preserving Image Registration
* 2012: Variational Approach for Sharpening High Dimensional Images, A
* 2013: Variational Framework for Region-Based Segmentation Incorporating Physical Noise Models, A
* 2014: Color Bregman TV
* 2014: framework for automated cell tracking in phase contrast microscopic videos based on normal velocities, A
* 2014: Registration of Noisy Images via Maximum A-Posteriori Estimation
* 2015: Regularization with Sparse Vector Fields: From Image Compression to TV-type Reconstruction
* 2015: Spectral Representations of One-Homogeneous Functionals
* 2016: Infimal Convolution Regularisation Functionals of BV and L_p Spaces
* 2016: Model Based Viewpoint Planning For Terrestrial Laser Scanning From An Economic Perspective
* 2016: Nonlinear Spectral Analysis via One-Homogeneous Functionals: Overview and Future Prospects
* 2016: Spectral Decompositions Using One-Homogeneous Functionals
* 2017: Adaptive Regularization in Convex Composite Optimization for Variational Imaging Problems
* 2017: Bias Reduction in Variational Regularization
* 2017: Block compressive sensing of image and video with nonlocal Lagrangian multiplier and patch-based sparse representation
* 2017: intensity-based stochastic model for terrestrial laser scanners, An
* 2017: Nonlinear Spectral Image Fusion
* 2018: Variational Model for Joint Motion Estimation and Image Reconstruction, A
* 2019: Computing Nonlinear Eigenfunctions via Gradient Flow Extinction
* 2019: Total Variation Based Regularizer Promoting Piecewise-Lipschitz Reconstructions, A
* 2019: Unified Models for Second-Order TV-Type Regularisation in Imaging: A New Perspective Based on Vector Operators
* 2020: Adaptive Regularization of Some Inverse Problems in Image Analysis
* 2020: Remote Detection of Uranium Using Self-Focusing Intense Femtosecond Laser Pulses
* 2023: Hypergraph P-Laplacians, Scale Spaces, and Information Flow in Networks
* 2023: Resolution-invariant Image Classification Based on Fourier Neural Operators
Includes: Burger, M.[Martin] Burger, M. Burger, M.[Miloš]
34 for Burger, M.

Burger, P.[Peter] * 1988: Calculation of Surface Position and Orientation Using the Photometric Stereo Method
* 1991: Depth and Shape form Shading Using the Photometric Stereo Method
* 1992: Differential Algorithm for the Determination of Shape from Shading Using a Point Light Source
* 1995: 4 Dimensional modelling of the human heart
* 1995: Contour Fitting Using an Adaptive Spline Model
* 1995: Structure adaptive anisotropic filtering for magnetic resonance image enhancement
* 1996: Knowledge-Based Anisotropic Diffusion of Vector-Valued 4-Dimensional Cardiac MR Images
* 1996: Structure Adaptive Anisotropic Image Filtering
* 1997: Automatic tracking of the aorta in cardiovascular MR images using deformable models
* 1997: corner orientation detector, A
Includes: Burger, P.[Peter] Burger, P.
10 for Burger, P.

Burger, R.[Rogier] * 2024: Biomass Proxy: Unlocking Global Agricultural Monitoring through Fusion of Sentinel-1 and Sentinel-2, The

Burger, S.[Susanne] * 2007: CHIL RT07 Evaluation Data, The
* 2012: Beyond audio and video retrieval: Towards multimedia summarization

Burger, T.[Thomas] * 2006: Extracting Static Hand Gestures in Dynamic Context
* 2007: Cued Speech Gesture Recognition: A First Prototype Based on Early Reduction
* 2007: Sequential Belief-Based Fusion of Manual and Non-manual Information for Recognizing Isolated Signs
* 2009: belief-based sequential fusion approach for fusing manual signs and non-manual signals, A
* 2010: Dealing with Precise and Imprecise Decisions with a Dempster-Shafer Theory Based Algorithm in the Context of Handwritten Word Recognition
* 2011: Dempster-Shafer Based Rejection Strategy for Handwritten Word Recognition
* 2013: Unified Access to Media Metadata on the Web
* 2015: Dempster-Shafer Theory based combination of handwriting recognition systems with multiple rejection strategies, A
Includes: Burger, T.[Thomas] Burger, T.[Tobias]
8 for Burger, T.

Burger, W. * 1987: DRIVE: Dynamic Reasoning from Integrated Visual Evidence
* 1987: Estimation of Image Motion Using Wavefront Region Growing
* 1987: Qualitative Motion Understanding
* 1988: Approximation of Displacement Fields Using Wavefront Region Growing
* 1988: Dynamic Scene Understanding for Autonomous Mobile Robotics
* 1988: Qualitative Motion Detection and Tracking of Targets from a Mobile Platform
* 1989: On Computing a Fuzzy Focus of Expansion for Autonomous Navigation
* 1989: Qualitative Target Motion Detection and Tracking
* 1990: Estimating 3-D Egomotion from Perspective Image Sequences
* 1990: Qualitative Understanding of Scene Dynamics for Mobile Robots
* 1990: System for computing the self-motion of moving images devices
* 1991: Qualitative Approach to Dynamic Scene Understanding, A
* 1992: Qualitative Motion Understanding
* 1994: Signal-to-Symbol Conversion for Structural Object Recognition Using Hidden Markov Models
* 1996: Learning to recognize generic visual categories using a hybrid structural approach
* 1996: Recognition and Learning With Polymorphic Structural Components
* 1997: Learning Visual Ideals
* 1999: Ear Biometrics
* 2000: Ear Biometrics in Computer Vision
* 2007: Digital Image Processing: An Algorithmic Approach Using Java
* 2009: Principles of Digital Image Processing: Core Algorithms
* 2009: Principles of Digital Image Processing: Fundamental Techniques
* 2013: Principles of Digital Image Processing: Advanced Methods
Includes: Burger, W. Burger, W.[Wilhelm]
23 for Burger, W.

Burger, W.J.[William Jerome] * 2021: On the Geomagnetic Field Line Resonance Eigenfrequency Variations during Seismic Event
* 2023: Search for Electron Bursts in the Inner Van Allen Belts with the CSES and NOAA POES Satellites

Burgers, J.[Jan] * 2016: Historical manuscript dating based on temporal pattern codebook
* 2016: Image-based historical manuscript dating using contour and stroke fragments
* 2016: Multiple-Label Guided Clustering Algorithm for Historical Document Dating and Localization, A

Burges, C.[Chris] * 1996: Incorporating Invariances in Support Vector Learning Machines

Burges, C.J.C. * 1995: Analysis of complex and noisy check images
* 2003: Image compression with on-line and off-line learning

Burges, M.[Marvin] * 2024: CHAI: Craters in Historical Aerial Images

Burgess, A.[Annie] * 2020: Geoweaver: Advanced Cyberinfrastructure for Managing Hybrid Geoscientific AI Workflows

Burgess, A.E.[Arthur E.] * 2007: Signal detection in power-law noise: effect of spectrum exponents

Burgess, E.[Evan] * 2015: Mapping glacier flow speeds with synthetic aperture radar cross correlation

Burgess, G. * 2011: Photographic assessment of retroreflective film properties

Burgess, H.M.[Heidi M.] * 2020: Use of Unmanned Aerial Vehicles to Determine Differences in Vegetation Cover: A Tool for Monitoring Coastal Wetland Restoration Schemes, The

Burgess, J.H.[Jack H.] * 2018: Comparative Study of Three Non-Geostatistical Methods for Optimising Digital Elevation Model Interpolation, A

Burgess, M.[Matthew] * 2020: Positional Accuracy Assessment of Lidar Point Cloud from NAIP/3DEP Pilot Project

Burgess, M.A.[Matthew A.] * 2009: New Approach for Pass-point Generation from Aerial Video Imagery, A

Burgess, M.T. * 2020: Displacement Imaging for Focused Ultrasound Peripheral Nerve Neuromodulation

Burgess, N. * 1992: growing network classifier of 3D objects using multiple views, A
* 1993: Recognition by Constructive Neural Algorithms
* 1999: 3D listless zerotree coding for low bit rate video
Includes: Burgess, N. Burgess, N.[Neil]

Burgess, P.J.[Paul J.] * 2020: Deriving Wheat Crop Productivity Indicators Using Sentinel-1 Time Series

Burgess, S. * 1996: Content-Based Retrieval of Opthalmological Images
* 2012: Node localization in unsynchronized time of arrival sensor networks
* 2012: Pose estimation from minimal dual-receiver configurations
* 2017: Subcategory Classifiers for Multiple-Instance Learning and Its Application to Retinal Nerve Fiber Layer Visibility Classification
Includes: Burgess, S. Burgess, S.[Simon]

Burgess, T.F.R.[Timothy F.R.] * 2014: Reef-Scale Thermal Stress Monitoring of Coral Ecosystems: New 5-km Global Products from NOAA Coral Reef Watch
* 2016: Validation of Reef-Scale Thermal Stress Satellite Products for Coral Bleaching Monitoring
Includes: Burgess, T.F.R.[Timothy F.R.] Burgess, T.F.R.[Timothy F. R.]

Burget, L.[Lukas] * 2007: 2007 AMI(DA) System for Meeting Transcription, The
* 2022: Spelling-Aware Word-Based End-to-End ASR
Includes: Burget, L.[Lukas] Burget, L.[Lukáš]

Burget, R. * 2007: Layout Based Information Extraction from HTML Documents
* 2021: Planar 3D Transfer Learning for End to End Unimodal MRI Unbalanced Data Segmentation
Includes: Burget, R. Burget, R.[Radim]

Burgeth, B.[Bernhard] * 2003: Explanation for the Logarithmic Connection between Linear and Morphological Systems, An
* 2003: Median Filtering of Tensor-Valued Images
* 2004: Morphological Operations on Matrix-Valued Images
* 2005: Explanation for the Logarithmic Connection between Linear and Morphological System Theory, An
* 2005: Regularity and Scale-Space Properties of Fractional High Order Linear Filtering
* 2005: Relativistic Scale-Spaces
* 2005: Stability and Local Feature Enhancement of Higher Order Nonlinear Diffusion Filtering
* 2006: Curvature-Driven PDE Methods for Matrix-Valued Images
* 2006: Flexible Segmentation and Smoothing of DT-MRI Fields Through a Customizable Structure Tensor
* 2006: Nonlinear structure tensors
* 2007: Anisotropic Continuous-Scale Morphology
* 2007: Generic Approach to the Filtering of Matrix Fields with Singular PDEs, A
* 2007: Morphology for matrix data: Ordering versus PDE-based approach
* 2007: Scale Spaces on Lie Groups
* 2008: Generic Neighbourhood Filtering Framework for Matrix Fields, A
* 2009: Directional Rouy-Tourin Scheme for Adaptive Matrix-Valued Morphology, A
* 2009: PDE-Driven Adaptive Morphology for Matrix Fields
* 2009: Properties of Higher Order Nonlinear Diffusion Filtering
* 2011: Adaptive Continuous-Scale Morphology for Matrix Fields
* 2011: On Improving the Efficiency of Tensor Voting
* 2013: Morphology for Color Images via Loewner Order for Matrix Fields
* 2014: approach to color-morphology based on Einstein addition and Loewner order, An
* 2015: Adaptive Filters for Color Images: Median Filtering and Its Extensions
* 2015: Elementary Morphology for SO(2)- and SO(3)-Orientation Fields
* 2015: PDE-Based Color Morphology Using Matrix Fields
* 2016: Fast retinal vessel analysis
* 2017: Unified Approach to PDE-Driven Morphology for Fields of Orthogonal and Generalized Doubly-Stochastic Matrices, A
Includes: Burgeth, B.[Bernhard] Burgeth, B.
27 for Burgeth, B.

Burgett, S. * 1998: Copyright Labeling of Digitized Image Data

Burghardt, D. * 1999: Fast Snakes Algorithm Using the Tangent Angle Function, A
* 2005: Controlled Line Smoothing by Snakes
* 2009: Automated processing for map generalization using web services
* 2016: Automated Generalisation Within NMAS In 2016
* 2016: Supervised Approach to Delineate Built-Up Areas for Monitoring and Analysis of Settlements, A
* 2019: Analyzing and Visualizing Emotional Reactions Expressed by Emojis in Location-Based Social Media
* 2019: Mesh-Based Typification Method for Building Groups with Grid Patterns, A
* 2020: Case Study on Privacy-Aware Social Media Data Processing in Disaster Management
* 2020: Privacy-Aware Visualization of Volunteered Geographic Information (VGI) to Analyze Spatial Activity: A Benchmark Implementation
* 2021: Automatic Delineation of Urban Growth Boundaries Based on Topographic Data Using Germany as a Case Study
* 2021: Emojis as Contextual Indicants in Location-Based Social Media Posts
* 2021: Using Object Detection on Social Media Images for Urban Bicycle Infrastructure Planning: A Case Study of Dresden
* 2023: Using HyperLogLog to Prevent Data Retention in Social Media Streaming Data Analytics
Includes: Burghardt, D. Burghardt, D.[Dirk]
13 for Burghardt, D.

Burghardt, M.[Manuel] * 2021: Evaluation of DNN Architectures for Page Segmentation of Historical Newspapers, An

Burghardt, T. * 2006: Analysing animal behaviour in wildlife videos using face detection and tracking
* 2014: Online quality assessment of human motion from skeleton data
* 2015: Affinity Matting for Pixel-accurate Fin Shape Recovery from Great White Shark Imagery
* 2015: Automated Identification of Individual Great White Sharks from Unrestricted Fin Imagery
* 2015: Correspondence, Matching and Recognition
* 2015: Real-time RGB-D Tracking with Depth Scaling Kernelised Correlation Filters and Occlusion Handling
* 2015: Towards automating visual in-field monitoring of crop health
* 2016: Automatic individual holstein friesian cattle identification via selective local coat pattern matching in RGB-D imagery
* 2016: Calorie Counter: RGB-Depth Visual Estimation of Energy Expenditure at Home
* 2016: comparative study of pose representation and dynamics modelling for online motion quality assessment, A
* 2017: Automated Visual Fin Identification of Individual Great White Sharks
* 2017: Multiple human tracking in RGB-depth data: a survey
* 2017: Towards Automated Visual Monitoring of Individual Gorillas in the Wild
* 2017: Visual Localisation and Individual Identification of Holstein Friesian Cattle via Deep Learning
* 2018: Calorific Expenditure Estimation Using Deep Convolutional Network Features
* 2018: DeepKey: Towards End-to-End Physical Key Replication from a Single Photograph
* 2018: Energy expenditure estimation using visual and inertial sensors
* 2018: Semantically Selective Augmentation for Deep Compact Person Re-Identification
* 2019: Deep Compact Person Re-Identification with Distractor Synthesis via Guided DC-GANs
* 2019: DS-KCF: a real-time tracker for RGB-D data
* 2019: Great Ape Detection in Challenging Jungle Camera Trap Footage via Attention-Based Spatial and Temporal Feature Blending
* 2019: Sit-to-Stand Analysis in the Wild Using Silhouettes for Longitudinal Health Monitoring
* 2019: Who Goes There? Exploiting Silhouettes and Wearable Signals for Subject Identification in Multi-Person Environments
* 2020: Fusing Animal Biometrics with Autonomous Robotics: Drone-based Search and Individual ID of Friesian Cattle (Extended Abstract)
* 2020: Meta-learning with Context-Agnostic Initialisations
* 2021: Temporal-Relational CrossTransformers for Few-Shot Action Recognition
* 2022: Label a Herd in Minutes: Individual Holstein-Friesian Cattle Identification
* 2022: Small or Far Away? Exploiting Deep Super-Resolution and Altitude Data for Aerial Animal Surveillance
* 2023: Dynamic Curriculum Learning for Great Ape Detection in the Wild
* 2023: Use Your Head: Improving Long-Tail Video Recognition
* 2023: Video-SwinUNet: Spatio-temporal Deep Learning Framework for VFSS Instance Segmentation
* 2024: Deep Visual-Genetic Biometrics for Taxonomic Classification of Rare Species
Includes: Burghardt, T. Burghardt, T.[Tilo]
32 for Burghardt, T.

Burghelea, R.[Roxana] * 2008: Coherent Synchronization of a Chaotic Communication System Based on a QAM-4 Transmitter

Burghignoli, P.[Paolo] * 2007: Electromagnetic Propagation of GPR Signals in Martian Subsurface Scenarios Including Material Losses and Scattering

Burghila, D. * 2020: Overview on the Development and Evolution of Earth Observation Research And Applications Programmes for Agriculture and Environment During The Last Three Decades In Romania

Burgholzer, P.[Peter] * 2022: Surfing Virtual Waves to Thermal Tomography: From model- to deep learning-based reconstructions

Burghout, W.[Wilco] * 2018: Integrated framework for real-time urban network travel time prediction on sparse probe data
* 2019: Empty vehicle redistribution and fleet size in autonomous taxi systems

Burghouts, G.[Gertjan] * 2020: Spot What Matters: Learning Context Using Graph Convolutional Networks for Weakly-Supervised Action Detection
* 2023: Efficient Transfer by Robust Label Selection and Learning with Pseudo-Labels

Burghouts, G.J.[Gertjan J.] * 2005: Amsterdam Library of Object Images, The
* 2006: Color invariant object recognition using entropic graphs
* 2006: Color Textons for Texture Recognition
* 2006: Quasi-Periodic Spatiotemporal Filtering
* 2009: Material-specific adaptation of color invariant features
* 2009: Performance evaluation of local colour invariants
* 2011: Reasoning About Threats: From Observables to Situation Assessment
* 2012: Automated Textual Descriptions for a Wide Range of Video Events with 48 Human Actions
* 2012: Automatic Audio-Visual Fusion for Aggression Detection Using Meta-information
* 2012: Correlations between 48 human actions improve their detection
* 2012: Recognition of Long-Term Behaviors by Parsing Sequences of Short-Term Actions with a Stochastic Regular Grammar
* 2013: Activity recognition and localization on a truck parking lot
* 2013: comparative study on automatic audio-visual fusion for aggression detection using meta-information, A
* 2013: Improved action recognition by combining multiple 2D views in the bag-of-words model
* 2013: Spatio-temporal layout of human actions for improved bag-of-words action detection
* 2013: Spatio-temporal Saliency for Action Similarity
* 2014: Automated recognition of human activities in video streams in real time
* 2014: Complex threat detection: Learning vs. rules, using a hierarchy of features
* 2014: Instantaneous threat detection based on a semantic representation of activities, zones and trajectories
* 2014: Selection of negative samples and two-stage combination of multiple features for action detection in thousands of videos
* 2014: unified approach to the recognition of complex actions from sequences of zone-crossings, A
* 2016: Recognizing Stress Using Semantics and Modulation of Speech and Gestures
* 2020: Task-specific Novel Object Characterization
* 2022: Cluster Centers Provide Good First Labels for Object Detection
* 2022: Coarse-to-Fine Visual Question Answering by Iterative, Conditional Refinement
* 2023: Self-Guided Diffusion Models
Includes: Burghouts, G.J.[Gertjan J.] Burghouts, G.J.
26 for Burghouts, G.J.

Burgi, P.M. * 2021: Impact of Forest Disturbance on InSAR Surface Displacement Time Series
Includes: Burgi, P.M. Bürgi, P.M. (Maybe also Buergi, P.M.)

Burgi, P.Y. * 1998: Visual Motion Estimation and Prediction: A Probabilistic Network Model for Temporal Coherence
* 2002: Real Time Implementation of the Saliency-Based Model of Visual Attention on a SIMD Architecture, A
* 2004: Motion estimation based on the direction of intensity gradient
Includes: Burgi, P.Y. Burgi, P.Y.[Pierre-Yves]

Burgin, M. * 2011: Generalized Radar Backscattering Model Based on Wave Theory for Multilayer Multispecies Vegetation, A
* 2012: Potential of L-Band Radar for Retrieval of Canopy and Subcanopy Parameters of Boreal Forests
* 2014: Models of L-Band Radar Backscattering Coefficients Over Global Terrain for Soil Moisture Retrieval
* 2015: P-Band Radar Retrieval of Subsurface Soil Moisture Profile as a Second-Order Polynomial: First AirMOSS Results
* 2016: Assessment of the SMAP Passive Soil Moisture Product

Burgin, M.S. * 2016: Generalized Terrain Topography in Radar Scattering Models
* 2017: Comparative Study of the SMAP Passive Soil Moisture Product With Existing Satellite-Based Soil Moisture Products, A
* 2017: Optimal Nonnegative Eigenvalue Decomposition for the Freeman and Durden Three-Component Scattering Model, An
* 2020: Assessment and Validation of AirMOSS P-Band Root-Zone Soil Moisture Products

Burgin, W.[Walker] * 2009: Adventures in archiving and using three years of webcam images

Burgio, A. * 2017: 3d Modeling of Two Louteria Fragments By Image-based Approach

Burgmair, C. * 2018: Delay Compensation for Actuated Stereoscopic 360 Degree Telepresence Systems with Probabilistic Head Motion Prediction

Burgmann, R. * 2016: Use of a GPS-Derived Troposphere Model to Improve InSAR Deformation Estimates in the San Gabriel Valley, California
* 2018: InSAR Time Series Analysis of L-Band Wide-Swath SAR Data Acquired by ALOS-2
* 2018: Spatiotemporal Evolution of Postseismic Deformation Following the 2001 Mw7.8 Kokoxili, China, Earthquake from 7 Years of INSAR Observations
Includes: Burgmann, R. Bürgmann, R. (Maybe also Buergmann, R.)Bürgmann, R.[Roland] (Maybe also Buergmann, R.)

Burgmann, T.[Tatjana] * 2019: Matching of TerraSAR-X derived ground control points to optical image patches using deep learning
Includes: Burgmann, T.[Tatjana] Bürgmann, T.[Tatjana] (Maybe also Buergmann, T.)

Burgoon, J.K. * 2009: Detecting Concealment of Intent in Transportation Screening: A Proof of Concept
* 2010: Motion Profiles for Deception Detection Using Visual Cues
* 2013: Automated analysis of interactional synchrony using robust facial tracking and expression recognition
* 2015: Perinasal indicators of deceptive behavior
* 2023: Non-Invasive Measurement of Trust in Group Interactions
Includes: Burgoon, J.K. Burgoon, J.K.[Judee K.]

Burgos Artizzu, X.[Xavier] * 2013: Merging Pose Estimates Across Space and Time
* 2016: Three dimensional pose estimation of mouse from monocular images in compact systems
* 2019: Three-Dimensional Pose Estimation for Laboratory Mouse From Monocular Images
Includes: Burgos Artizzu, X.[Xavier] Burgos-Artizzu, X.[Xavier]

Burgos Artizzu, X.P.[Xavier P.] * 2008: vision-based method for weeds identification through the Bayesian decision theory, A
* 2010: Analysis of natural images processing for the extraction of agricultural elements
* 2012: Social behavior recognition in continuous video
* 2013: Robust Face Landmark Estimation under Occlusion
* 2014: Detecting Social Actions of Fruit Flies
* 2014: Distance Estimation of an Unknown Person from a Portrait
* 2015: Pose and Expression-Coherent Face Recovery in the Wild
Includes: Burgos Artizzu, X.P.[Xavier P.] Burgos-Artizzu, X.P.[Xavier P.]
7 for Burgos Artizzu, X.P.

Burgos Garcia, M. * 2007: Spatially Variant Apodization for Squinted Synthetic Aperture Radar Images
* 2009: Through-the-Wall Surveillance With Millimeter-Wave LFMCW Radars
Includes: Burgos Garcia, M. Burgos-García, M. Burgos-Garcia, M.

Burgos Gil, J.I.[Jose Ignacio] * 2008: Generic Self-calibration of Central Cameras from Two Real Rotational Flows
* 2011: Camera Self-calibration with Parallel Screw Axis Motion by Intersecting Imaged Horopters
* 2011: Generic Self-calibration of Central Cameras from Two Rotational Flows
Includes: Burgos Gil, J.I.[Jose Ignacio] Burgos Gil, J.I.[José Ignacio]

Burgos, D.F.[Diego Fernando] * 2016: Spatial Filtering Based on Differential Spectrum for Improving ML DOA Estimation Performance

Burgos, D.F.M. * 2019: Creation of a Virtual Reality Environment of a University Museum Using 3d Photogrammetric Models

Burgos, F.J.[Francisco J.] * 2014: Spectral LED-Based Tuneable Light Source for the Reconstruction of CIE Standard Illuminants

Burgos, F.M.[Francisco Moran] * 2011: Multi-resolution texture coding for multi-resolution 3D meshes
* 2015: Automatic video to point cloud registration in a structure-from-motion framework

Burgos, N. * 2014: Attenuation Correction Synthesis for Hybrid PET-MR Scanners: Application to Brain Studies
* 2017: Direct Parametric Reconstruction With Joint Motion Estimation/Correction for Dynamic Brain PET Data
* 2023: Data Augmentation in High Dimensional Low Sample Size Setting Using a Geometry-Based Variational Autoencoder
Includes: Burgos, N. Burgos, N.[Ninon]

Burgos, S. * 2015: Use of Very High-Resolution Airborne Images to Analyse 3D Canopy Architecture of a Vineyard

Burgosartizzu, X.P. * 2007: Design of a computer vision system for a differential spraying operation in precision agriculture using hebbian learning

Burgoyne, C.F. * 2006: Segmentation of trabeculated structures using an anisotropic Markov random field: application to the study of the optic nerve head in glaucoma

Burgstaller, M. * 2002: Robotic Three-Dimensional Measurement System for Complex Metal Parts Using Structured Light

Burgues, J.[Javier] * 2021: Aerial Mapping of Odorous Gases in a Wastewater Treatment Plant Using a Small Drone
Includes: Burgues, J.[Javier] Burgués, J.[Javier]

Burguet, J. * 2004: Realistic Models of Children Heads from 3D-MRI Segmentation and Tetrahedral Mesh Construction
* 2017: Towards a Spatio-Temporal Atlas of 3D Cellular Parameters During Leaf Morphogenesis

Burguete Lopez, A.[Arturo] * 2022: Real-time Hyperspectral Imaging in Hardware via Trained Metasurface Encoders
Includes: Burguete Lopez, A.[Arturo] Burguete-Lopez, A.[Arturo]

Index for "b"