Hoogeboom, H.
* 2008: Selection of DNA Markers
Hoogeboom, P.
* 2007: Signal Processing for FMCW SAR
* 2015: Future Ocean Scatterometry: On the Use of Cross-Polar Scattering to Observe Very High Winds
* 2016: Polarimetric Bias Correction of Practical Planar Scanned Antennas for Meteorological Applications
* 2017: Novel Radar-Based Visibility Estimator, A
* 2017: Small Reflectors for Ground Motion Monitoring With InSAR
* 2019: UAV-Aided Weather Radar Calibration
Hoogeman, M.[Mischa]
* 2018: Evaluation of Multi-metric Registration for Online Adaptive Proton Therapy of Prostate Cancer
Hoogenboom, R.
* 1996: Face detection using local maxima
Hoogendam, Y.Y.
* 2012: Automated Brain Structure Segmentation Based on Atlas Registration and Appearance Models
Hoogendijk, K.[Kees]
* 2021: Water Vapor Retrievals from Spectral Direct Irradiance Measured with an EKO MS-711 Spectroradiometer: Intercomparison with Other Techniques
Hoogendoorn, C.[Corne]
* 2007: Bilinear Models for Spatio-Temporal Point Distribution Analysis: Application to Extrapolation of Whole Heart Cardiac Dynamics
* 2009: Bilinear Models for Spatio-Temporal Point Distribution Analysis: Application to Extrapolation of Left Ventricular, Biventricular and Whole Heart Cardiac Dynamics
* 2011: Effect of Scar Development on Fast Electrophysiological Models of the Human Heart: In-Silico Study on Atlas-Based Virtual Populations
* 2011: Sensitivity Analysis of Mesh Warping and Subsampling Strategies for Generating Large Scale Electrophysiological Simulation Data
* 2013: High-Resolution Atlas and Statistical Model of the Human Heart From Multislice CT, A
* 2014: Statistical Personalization of Ventricular Fiber Orientation Using Shape Predictors
* 2015: Predictive Model of Vertebral Trabecular Anisotropy From Ex Vivo Micro-CT, A
* 2016: Algorithm for the Segmentation of Highly Abnormal Hearts Using a Generic Statistical Shape Model, An
* 2021: National Mapping of New Zealand Pasture Productivity Using Temporal Sentinel-2 Data
Includes: Hoogendoorn, C.[Corne] Hoogendoorn, C.[Corné] Hoogendoorn, C. Hoogendoorn, C.[Coby]
9 for Hoogendoorn, C.
Hoogendoorn, S.
* 2014: Potential impacts of ecological adaptive cruise control systems on traffic and environment
* 2019: Extended Linear Quadratic Model Predictive Control Approach for Multi-Destination Urban Traffic Networks, An
* 2022: Optimized Speed Trajectories for Cyclists, Based on Personal Preferences and Traffic Light Information: A Stochastic Dynamic Programming Approach
* 2023: Framework for Network-Constrained Tracking of Cyclists and Pedestrians
Includes: Hoogendoorn, S. Hoogendoorn, S.[Serge]
Hoogendoorn, S.P.
* 2004: ADAS safety impacts on rural and urban highways
* 2005: Outline Extraction of a Motorway from Helicopter Image Sequence
* 2006: Optical flow based vehicle tracking strengthened by statistical decisions
* 2008: Energy Function Behavior in Optimization Based Image Sequence Stabilization in Presence of Moving Objects
* 2009: Continuous Traffic Flow Modeling of Driver Support Systems in Multiclass Traffic With Intervehicle Communication and Drivers in the Loop
* 2011: Theoretical Framework for Traffic Speed Estimation by Fusing Low-Resolution Probe Vehicle Data, A
* 2012: Real-Time Lagrangian Traffic State Estimator for Freeways
* 2014: Empirical analysis of the causes of stop-and-go waves at sags
* 2015: Improving the road network performance with dynamic route guidance by considering the indifference band of road users
* 2015: Optimization of Evacuation Traffic Management With Intersection Control Constraints
* 2016: Cooperative Car-Following Control: Distributed Algorithm and Impact on Moving Jam Features
* 2019: Efficient Freeway MPC by Parameterization of ALINEA and a Speed-Limited Area
* 2019: Hierarchical Control Framework for Coordination of Intersection Signal Timings in All Traffic Regimes, A
* 2020: Linear MPC-Based Urban Traffic Control Using the Link Transmission Model
* 2024: Improving Traffic Efficiency With Lane Guidance Based on Desired Speeds
Includes: Hoogendoorn, S.P. Hoogendoorn, S.P.[Serge P.]
15 for Hoogendoorn, S.P.
Hoogeveen, R.M.
* 1999: Model-based quantitation of 3-D magnetic resonance angiographic images
Hoogi, A.
* 2017: Adaptive Estimation of Active Contour Parameters Using Convolutional Neural Networks and Texture Analysis
* 2022: Self-attention Capsule Network for Tissue Classification in Case of Challenging Medical Image Statistics
Includes: Hoogi, A. Hoogi, A.[Assaf]
Hoogland, J.[Jan]
* 2001: Panoramic imaging arrangement I
Hoogs, A.
* 1991: On Using CAD Models to Compute the Pose of Curved 3D Objects
* 1992: On Using CAD Models to Compute the Pose of Curved 3D Objects
* 1994: Segmentation Characterization for Change Detection
* 1995: Segmentation modeling
* 1995: Using Scene Context to Model Segmentations
* 1996: Model-Based Learning of Segmentations
* 1996: Pose Refinement Using a Parameter Hierarchy
* 1997: Analysis of learning using segmentation models
* 1998: Image Understanding at Lockheed Martin Management and Data Systems
* 2000: Integrated Boundary and Region Approach to Perceptual Grouping, An
* 2001: Grouping Using Regions: A Consistency Study
* 2002: Classification of 3D macro texture using perceptual observables
* 2003: common set of perceptual observables for grouping, figure-ground discrimination, and texture classification, A
* 2003: Video content annotation using visual analysis and a large semantic knowledgebase
* 2004: Learning to segment images using region-based perceptual features
* 2004: Overview of the 2004 Workshop on Perceptual Organization in Computer Vision, An
* 2006: Image Comparison by Compound Disjoint Information
* 2006: Industry and Object Recognition: Applications, Applied Research and Challenges
* 2006: Object Boundary Detection in Images using a Semantic Ontology
* 2008: Evaluation of Localized Semantics: Data, Methodology, and Experiments
* 2010: Image Comparison by Compound Disjoint Information with Applications to Perceptual Visual Quality Assessment, Image Registration and Tracking
* 2012: Video Surveillance: Past, Present, and Now the Future
* 2013: Minimum Error Vanishing Point Detection Approach for Uncalibrated Monocular Images of Man-Made Environments, A
* 2013: System and algorithms on detection of objects embedded in perspective geometry using monocular cameras
* 2014: Complex algorithm optimization through probabilistic search of its configuration tree
* 2014: Efficient Online Hierarchical Supervoxel Segmentation Algorithm for Time-critical Applications, An
* 2014: KWIVER: An open source cross-platform video exploitation framework
* 2014: Personalized Economy of Images in Social Forums: An Analysis on Supply, Consumption, and Saliency
* 2014: Real-time heads-up display detection in video
* 2015: end-to-end system for content-based video retrieval using behavior, actions, and appearance with interactive query refinement, An
* 2016: Image-oriented economic perspective on user behavior in multimedia social forums: An analysis on supply, consumption, and saliency
* 2016: Tattoo detection and localization using region-based deep learning
* 2017: C3D-Based Convolutional Neural Network for Frame Dropping Detection in a Single Video Shot, A
* 2017: Compact image representation by binary component analysis
* 2017: Open-Source Platform for Underwater Image and Video Analytics, An
* 2017: Reflection correspondence for exposing photograph manipulation
* 2019: Deep Neural Networks in Fully Connected CRF for Image Labeling with Social Network Metadata
* 2020: DOA-GAN: Dual-Order Attentive Generative Adversarial Network for Image Copy-Move Forgery Detection and Localization
* 2022: Cascade Transformers for End-to-End Person Search
* 2022: Discover and Mitigate Unknown Biases with Debiasing Alternate Networks
* 2022: Doppelgänger Saliency: Towards More Ethical Person Re-Identification
* 2022: X-MIR: EXplainable Medical Image Retrieval
* 2023: Open Set Action Recognition via Multi-Label Evidential Learning
* 2024: FishTrack23: An Ensemble Underwater Dataset for Multi-Object Tracking
Includes: Hoogs, A. Hoogs, A.[Anthony]
44 for Hoogs, A.
Hoogs, A.J.[Anthony J.]
* 1994: Model-Supported Exploitation as a Framework for Image Understanding
* 1994: RADIUS Testbed Database: Issues and Design, The
* 1996: Database Support for Exploitation Image Understanding
* 1996: Integration of Image Understanding Exploitation Algorithms in the RADIUS Testbed
* 1997: Combining Geometric and Appearance Models for Change Detection
* 1997: Database Support for Exploitation Image Understanding
* 1997: Image Understanding at Lockheed Martin Valley Forge
* 1997: Integration of Image Understanding Exploitation Algorithms in the RADIUS Testbed
* 1997: Model-Supported Exploitation as a Framework for Image Understanding
* 1997: RADIUS Phase II Program, The
* 1997: RADIUS Phase II Program, The
* 1997: RADIUS Testbed Database: Issues and Design, The
* 1997: User Interface Representation for Image Understanding
* 2004: Bayesian object-level change detection in grayscale imagery
* 2004: Detecting rare events in video using semantic primitives with HMM
* 2005: Unified Framework for Tracking through Occlusions and across Sensor Gaps, A
* 2006: Evaluation of Algorithms for Tracking Multiple Objects in Video
* 2006: Event Recognition with Fragmented Object Tracks
* 2006: Joint Recognition of Complex Events and Track Matching
* 2006: Moving Object Segmentation using Scene Understanding
* 2006: Multi-Object Tracking Through Simultaneous Long Occlusions and Split-Merge Conditions
* 2006: Recognition and Segmentation of Scene Content using Region-Based Classification
* 2007: Moving Vehicle Registration and Super-Resolution
* 2008: Detecting Semantic Group Activities Using Relational Clustering
* 2008: Evaluation of compression schemes for wide area video
* 2008: Learning Motion Patterns in Surveillance Video using HMM Clustering
* 2009: Functional scene element recognition for video scene analysis
* 2010: Content-Based Retrieval of Functional Objects in Video Using Scene Context
* 2010: Track Initialization in Low Frame Rate and Low Resolution Videos
* 2010: Unsupervised Learning of Activities in Video Using Scene Context
* 2010: Unsupervised Learning of Functional Categories in Video Scenes
* 2011: large-scale benchmark dataset for event recognition in surveillance video, A
* 2011: large-scale benchmark dataset for event recognition in surveillance video, A
* 2012: Human Action Recognition in Large-Scale Datasets Using Histogram of Spatiotemporal Gradients
* 2012: Learning and recognizing complex multi-agent activities with applications to american football plays
* 2013: Pyramid Coding for Functional Scene Element Recognition in Video Scenes
* 2014: Complex Activity Recognition Using Granger Constrained DBN (GCDBN) in Sports and Surveillance Video
* 2014: Real-time multi-target tracking at 210 megapixels/second in Wide Area Motion Imagery
* 2019: Multi-Modal Detection Fusion on a Mobile UGV for Wide-Area, Long-Range Surveillance
* 2021: MEVA: A Large-Scale Multiview, Multimodal Video Dataset for Activity Detection
* 2022: From Leaderboard To Operations: DIVA Transition Experiences
* 2023: MEVID: Multi-view Extended Videos with Identities for Video Person Re-Identification
* 2023: Reconstructing Humpty Dumpty: Multi-feature Graph Autoencoder for Open Set Action Recognition
Includes: Hoogs, A.J.[Anthony J.] Hoogs, A.J.
43 for Hoogs, A.J.