Hage, B.[Boris]
* 2010: Programmable unitary spatial mode manipulation
Hage, C.[Clemens]
* 2014: pROST: a smoothed lp -norm robust online subspace tracking method for background subtraction in video
Hage, M.E.[Mhamad El]
* 2022: Multicriteria Accuracy Assessment of Digital Elevation Models (DEMs) Produced by Airborne P-Band Polarimetric SAR Tomography in Tropical Rainforests
Hagedoorn, M.[Michiel]
* 1999: Reliable and Efficient Pattern Matching Using an Affine Invariant Metric
* 1999: Robust Affine Invariant Metric on Boundary Patterns, A
Includes: Hagedoorn, M.[Michiel] Hagedoorn, M.
Hagege, A.A.
* 2011: In Vivo Quantitative Mapping of Myocardial Stiffening and Transmural Anisotropy During the Cardiac Cycle
* 2012: Mapping Myocardial Fiber Orientation Using Echocardiography-Based Shear Wave Imaging
Hagege, R.R.[Rami R.]
* 2008: Joint segmentation and registration of elastically deformable objects
* 2010: Decoupled Linear Estimation of Affine Geometric Deformations and Nonlinear Intensity Transformations of Images
* 2010: Parametric Estimation of Affine Transformations: An Exact Linear Solution
* 2014: Point matching via affine region expansion
* 2014: Scene appearance model based on spatial prediction
* 2015: Geometric Expansion for Local Feature Analysis and Matching
* 2016: 2D-3D Pose Estimation of Heterogeneous Objects Using a Region Based Approach
* 2016: Amplitude Modulated Video Camera: Light Separation in Dynamic Scenes
* 2017: Geometry and Radiometry Invariant Matched Manifold Detection
* 2017: Local Region Expansion: A Method for Analyzing and Refining Image Matches
* 2019: Dynamic Spatial Predicted Background for Video Surveillance
* 2019: Light Invariant Video Imaging for Improved Performance of Convolution Neural Networks
* 2020: Dynamic Spatial Predicted Background
Includes: Hagege, R.R.[Rami R.] Hagege, R.R.
13 for Hagege, R.R.
Hagel, D.
* 2013: On-Line Reconstruction of CAD Geometry
Hagelauer, A.
* 2016: Low-power analog smart camera sensor for edge detection
Hagele, J.
* 2016: Augmented Likelihood Image Reconstruction
Hagelman, R.[Ron]
* 2005: Visualizing Demographic Trajectories with Self-Organizing Maps
Hagelskjær, F.[Frederik]
* 2020: Pointvotenet: Accurate Object Detection And 6 DOF Pose Estimation In Point Clouds
* 2021: Bridging the Reality Gap for Pose Estimation Networks using Sensor-Based Domain Randomization
* 2022: Deep Learning Classification of Large-Scale Point Clouds: A Case Study on Cuneiform Tablets
* 2023: SpyroPose: SE(3) Pyramids for Object Pose Distribution Estimation
Hageman, N.S.
* 2009: Diffusion Tensor Imaging Tractography Algorithm Based on Navier-Stokes Fluid Mechanics, A
Hagemann, A.
* 1999: Biomechanical modeling of the human head for physically based, nonrigid image registration
* 2020: Bias Detection and Prediction of Mapping Errors in Camera Calibration
* 2022: Inferring Bias and Uncertainty in Camera Calibration
* 2022: Modeling dynamic target deformation in camera calibration
* 2023: Deep geometry-aware camera self-calibration from video
Includes: Hagemann, A. Hagemann, A.[Annika]
Hagemann, P.[Paul]
* 2021: Invertible Neural Networks Versus MCMC for Posterior Reconstruction in Grazing Incidence X-ray Fluorescence
Hagemann, S.[Stefan]
* 2020: 35 Years of Vegetation and Lake Dynamics in the Pechora Catchment, Russian European Arctic
* 2020: Assessment of Spatio-Temporal Landscape Changes from VHR Images in Three Different Permafrost Areas in the Western Russian Arctic
Hagen Zanker, A.[Alex]
* 2021: Urban Growth Derived from Landsat Time Series Using Harmonic Analysis: A Case Study in South England with High Levels of Cloud Cover
Includes: Hagen Zanker, A.[Alex] Hagen-Zanker, A.[Alex]
Hagen, C.[Christian]
* 2022: Trends in Lesser Prairie-Chicken Habitat Extent and Distribution on the Southern High Plains
Hagen, C.K.[Charlotte K.]
* 2022: Volumetric High-Resolution X-Ray Phase-Contrast Virtual Histology of Breast Specimens With a Compact Laboratory System
Hagen, E.
* 1992: Navigation by Optical Flow
* 1994: Towards An American Sign Language Interface
Hagen, F.[Ferry]
* 2006: Detecting Virulent Cells of Cryptococcus Neoformans Yeast: Clustering Experiments
Hagen, G.[Guy]
* 2021: Self-Supervised Poisson-Gaussian Denoising
Hagen, G.S.[Gregory S.]
* 2010: Total Variation Minimization with Separable Sensing Operator
Hagen, H.
* 2001: High-Quality Volume Rendering of Adaptive Mesh Refinement Data
* 2001: Tracking Closed Streamlines in Time-Dependent Planar Flows
* 2009: Generalization of Moment Invariants on 2D Vector Fields to Tensor Fields of Arbitrary Order and Dimension, A
* 2011: Volume-preserving FFD for programmable graphics hardware
* 2014: Fast and memory-efficient quantile filter for data in three and higher dimensions
* 2020: Automatic Viewpoint Estimation for Inspection Planning Purposes
* 2023: Synthetic Data for Defect Segmentation on Complex Metal Surfaces
Includes: Hagen, H. Hagen, H.[Hans]
7 for Hagen, H.
Hagen, J.O.[Jon Ove]
* 2007: Use of C-Band Ground Penetrating Radar to Determine Backscatter Sources Within Glaciers
Hagen, L.[Leif]
* 2020: Simple and effective cloud- and shadow-detection algorithms for Landsat and Worldview images
Hagen, M.[Matthew]
* 2022: Comprehensive Review of Modern Object Segmentation Approaches, A
Hagen, S.
* 2012: Detection of Large-Scale Forest Canopy Change in Pan-Tropical Humid Forests 2000-2009 With the SeaWinds Ku-Band Scatterometer
* 2012: High Resolution Mapping of Peatland Hydroperiod at a High-Latitude Swedish Mire
* 2015: Adjusting Lidar-Derived Digital Terrain Models in Coastal Marshes Based on Estimated Aboveground Biomass Density
Includes: Hagen, S. Hagen, S.[Scott]
Hagen, S.C.[Scott C.]
* 2013: Assessing the Performance of a Northern Gulf of Mexico Tidal Model Using Satellite Imagery
* 2018: Automated method for measuring the extent of selective logging damage with airborne LiDAR data
Includes: Hagen, S.C.[Scott C.] Hagen, S.C.
Hagenah, J.[Jannis]
* 2017: Combining Deformation Modeling and Machine Learning for Personalized Prosthesis Size Prediction in Valve-Sparing Aortic Root Reconstruction
Hagenauer, J.[Joachim]
* 1999: Channel coding and transmission aspects for wireless multimedia
* 1999: Error robust multiplexing for multimedia applications
* 1999: Joint source and channel decoding of compressed still images
* 2012: Urban vegetation detection using radiometrically calibrated small-footprint full-waveform airborne LiDAR data
Includes: Hagenauer, J.[Joachim] Hagenauer, J. Hagenauer, J.[Julian]
Hagenbuchner, M.[Markus]
* 2003: Using attributed plex grammars for the generation of image and graph databases
* 2005: supervised training algorithm for self-organizing maps for structures, A
* 2022: Sign Language Translation with Hierarchical Spatio-Temporal Graph Neural Network
Hagenburg, K.U.[Kai Uwe]
* 2007: Robust Variational Reconstruction from Multiple Views
* 2009: Lattice Boltzmann Model for Rotationally Invariant Dithering, A
* 2011: Novel Schemes for Hyperbolic PDEs Using Osmosis Filters from Visual Computing
* 2013: Fully Discrete Theory for Linear Osmosis Filtering, A
Includes: Hagenburg, K.U.[Kai Uwe] Hagenburg, K.U.[Kai U.]
Hagene, J.K.
* 2003: Analysis and classification of internal pipeline images
Hagengruber, A.
* 2021: Electromyography for Teleoperated Tasks in Weightlessness
Hagenmeyer, V.[Veit]
* 2021: Cuepervision: self-supervised learning for continuous domain adaptation without catastrophic forgetting
Hagens, R.[Ralf]
* 2018: Multi-view photometric stereo using surface deformation
Hagensieker, R.[Ron]
* 2018: Evaluation of Multi-Frequency SAR Images for Tropical Land Cover Mapping
Hager, G.
* 1988: Egomotion and the Stabilized World
* 1995: Calibration-Free Visual Control Using Projective Invariance
* 2009: Active background modeling: Actors on a stage
* 2014: Accurate Scale Estimation for Robust Visual Tracking
* 2014: Fundus Image Mosaicking for Information Augmentation in Computer-Assisted Slit-Lamp Imaging
* 2014: Visual Object Tracking VOT2014 Challenge Results, The
* 2015: Autonomous on-board Near Earth Object detection
* 2015: Coloring Channel Representations for Visual Tracking
* 2015: Convolutional Features for Correlation Filter Based Visual Tracking
* 2015: Learning Spatially Regularized Correlation Filters for Visual Tracking
* 2016: Adaptive Decontamination of the Training Set: A Unified Formulation for Discriminative Visual Tracking
* 2016: Combining Visual Tracking and Person Detection for Long Term Tracking on a UAV
* 2016: Thermal Infrared Visual Object Tracking VOT-TIR2016 Challenge Results, The
* 2016: Visual Object Tracking VOT2016 Challenge Results, The
* 2017: Discriminative Scale Space Tracking
* 2017: Visual Object Tracking VOT2017 Challenge Results, The
* 2021: Ninth Visual Object Tracking VOT2021 Challenge Results, The
* 2021: Practical Pose Trajectory Splines With Explicit Regularization
* 2022: Network Generalization Prediction for Safety Critical Tasks in Novel Operating Domains
* 2023: Mapping DNN Embedding Manifolds for Network Generalization Prediction
Includes: Hager, G. Hager, G.[Gregory] Häger, G.[Gustav] (Maybe also Haeger, G.)Hager, G.[Greg]
20 for Hager, G.
Hager, G.D.
* 1987: Searching for Information
* 1990: Automatic Sensor Search and Positioning for Geometric Tasks
* 1990: Task-Directed Sensor Fusion and Planning: A Computational Approach
* 1991: Computational Methods for Task-Directed Sensor Data Fusion and Planning
* 1993: Real-Time Vision-Based Robot Localization
* 1994: Real-Time Feature Tracking and Projective Invariance as a Basis for Hand-Eye Coordination
* 1994: Task-Directed Computation of Quantitative Decisions from Sensor Data
* 1996: Incremental Focus of Attention for Robust Visual Tracking
* 1996: Introduction to the Special Section on Vision-Based Control of Robot Manipulators
* 1996: Real Time Tracking of Image Regions with Changes in Geometry and Illumination
* 1996: SERVOMATIC: A Modular System for Robust Positioning Using Stereo Visual Servoing
* 1996: Tracker Fusion for Robustness in Visual Feature Tracking
* 1996: Tutorial on Visual Servo Control, A
* 1996: X Vision: Combining Image Warping and Geometric Constraints for Fast Visual Tracking
* 1997: Modular System for Robust Positioning Using Feedback from Stereo Vision, A
* 1998: Efficient Region Tracking with Parametric Models of Geometry and Illumination
* 1998: Joint Probabilistic Techniques for Tracking Multi-part Objects
* 1998: X Vision: A Portable Substrate for Real-Time Vision Applications
* 1999: Computational Vision at Yale
* 1999: Hierarchical Vision Architecture for Robotic Manipulation Tasks, A
* 1999: Incremental Focus of Attention for Robust Vision-Based Tracking
* 1999: Tracking in 3D: Image Variability Decomposition for Recovering Object Pose and Illumination
* 1999: What Tasks can be Performed with an Uncalibrated Stereo Vision System?
* 2000: Fast and Globally Convergent Pose Estimation from Video Images
* 2001: Probabilistic Data Association Methods for Tracking Complex Visual Objects
* 2002: Scene classification from dense disparity maps in indoor environments
* 2003: Advances in Computational Stereo
* 2003: VICs: A Modular Vision-Based HCI Framework
* 2004: Gesture Recognition Using 3D Appearance and Motion Features
* 2004: Image segmentation through energy minimization based subspace fusion
* 2004: Multiple kernel tracking with SSD
* 2004: Particle Filter without Dynamics for Robust 3D Face Tracking, A
* 2004: Probabilistic data association methods in visual tracking of groups
* 2004: Real-time 3D Surface Tracking and Its Applications
* 2004: VICs: A modular HCI framework using spatiotemporal dynamics
* 2005: Coherent Regions for Concise and Stable Image Description
* 2005: Two Level Approach for Scene Recognition, A
* 2006: Acquisition of three-dimensional images by an active stereo technique using locally unique patterns
* 2006: Efficient particle filtering using RANSAC with application to 3D face tracking
* 2007: Deformable Motion Tracking of Cardiac Structures (DEMOTRACS) for Improved MR Imaging
* 2007: Editorial: Special Issue on Vision and Robotics, Parts I and II
* 2007: Nonparametric Treatment for Location/Segmentation Based Visual Tracking, A
* 2008: Intraoperative Visualization of Anatomical Targets in Retinal Surgery
* 2008: Practical Paradigm and Platform for Video-Based Human-Computer Interaction, A
* 2008: Robust motion estimation and structure recovery from endoscopic image sequences with an Adaptive Scale Kernel Consensus estimator
* 2008: Ultrasound Elastography: A Dynamic Programming Approach
* 2009: Histograms of oriented optical flow and Binet-Cauchy kernels on nonlinear dynamical systems for the recognition of human actions
* 2009: Image description with features that summarize
* 2009: Intelligent frame selection for anatomic reconstruction from endoscopic video
* 2010: Adaptive and Generic Corner Detection Based on the Accelerated Segment Test
* 2010: Epipolar-Based Stereo Tracking Without Explicit 3D Reconstruction
* 2010: Generalized Kernel Consensus-Based Robust Estimator, A
* 2011: Meta Method for Image Matching, A
* 2011: Real-Time Regularized Ultrasound Elastography
* 2012: Color-based hybrid reconstruction for endoscopy
* 2012: Deformable Tracking of Textured Curvilinear Objects
* 2012: Robust Object Tracking in Crowd Dynamic Scenes Using Explicit Stereo Depth
* 2012: System for Video-Based Navigation for Endoscopic Endonasal Skull Base Surgery, A
* 2013: Dynamic Template Tracking and Recognition
* 2013: Evaluation of a System for High-Accuracy 3D Image-Based Registration of Endoscopic Video to C-Arm Cone-Beam CT for Image-Guided Skull Base Surgery
* 2013: Unified Detection and Tracking of Instruments during Retinal Microsurgery
* 2015: Beyond spatial pooling: Fine-grained representation learning in multiple domains
* 2015: Improved Model for Segmentation and Recognition of Fine-Grained Activities with Application to Surgical Training Tasks, An
* 2015: Thermal Infrared Visual Object Tracking VOT-TIR2015 Challenge Results, The
* 2015: VESICLE: Volumetric Evaluation of Synaptic Inferfaces using Computer Vision at Large Scale
* 2015: Visual Object Tracking VOT2015 Challenge Results, The
* 2016: Guest Editorial: Special Section on CVPR 2013
* 2016: Segmental Spatiotemporal CNNs for Fine-Grained Action Segmentation
* 2016: Temporal Convolutional Networks: A Unified Approach to Action Segmentation
* 2017: Deep Supervision with Shape Concepts for Occlusion-Aware 3D Object Parsing
* 2017: Regularizing face verification nets for pain intensity regression
* 2017: Temporal Convolutional Networks for Action Segmentation and Detection
* 2018: Evaluation and Stability Analysis of Video-Based Navigation System for Functional Endoscopic Sinus Surgery onIn VivoClinical Data
* 2018: Guide Me: Interacting with Deep Networks
* 2018: S3D: Stacking Segmental P3D for Action Quality Assessment
* 2018: Unified Framework for Multi-view Multi-class Object Pose Estimation, A
* 2019: Deep Supervision with Intermediate Concepts
* 2019: Semantic Stereo for Incidental Satellite Images
* 2019: Synthesizing Attributes with Unreal Engine for Fine-grained Activity Analysis
* 2019: Toward Computer Vision Systems That Understand Real-World Assembly Processes
* 2020: Anatomy-aware Siamese Network: Exploiting Semantic Asymmetry for Accurate Pelvic Fracture Detection in X-ray Images
* 2020: Dense Depth Estimation in Monocular Endoscopy With Self-Supervised Learning Methods
* 2020: Extremely Dense Point Correspondences Using a Learned Feature Descriptor
* 2020: Learning From Synthetic Animals
* 2020: Learning Geocentric Object Pose in Oblique Monocular Images
* 2020: Semantic Image Manipulation Using Scene Graphs
* 2021: Motion Guided Attention Fusion to Recognize Interactions from Videos
* 2021: Neighborhood Normalization for Robust Geometric Feature Learning
* 2021: Single View Geocentric Pose in the Wild
* 2022: Coarse-To-Fine Incremental Few-Shot Learning
* 2022: Learning from Synthetic Vehicles
* 2024: Embedding Task Structure for Action Detection
Includes: Hager, G.D. Hager, G.D.[Gregory D.] Hager, G.D.[Greg D.]
92 for Hager, G.D.
Hager, J.C.[Joseph C.]
* 1999: Classifying Facial Actions
* 1999: Measuring Facial Expressions by Computer Image Analysis
* 2002: Facial Action Coding System, The
Includes: Hager, J.C.[Joseph C.] Hager, J.C.
Hager, P.[Pascal]
* 2021: LightSpeed: A Compact, High-Speed Optical-Link-Based 3D Optoacoustic Imager
* 2023: Best of Both Worlds: Multimodal Contrastive Learning with Tabular and Imaging Data
Includes: Hager, P.[Pascal] Hager, P.[Paul]
Hager, S.[Stephanie]
* 2023: Learn2Reg: Comprehensive Multi-Task Medical Image Registration Challenge, Dataset and Evaluation in the Era of Deep Learning
Includes: Hager, S.[Stephanie] Häger, S.[Stephanie] (Maybe also Haeger, S.)
Hager, S.A.[Stacey A.]
* 2009: Comparison of Individual Tree and Forest Plot Height Derived from LiDAR and InSAR, A
Hager, S.P.[Sandra P.]
* 2021: Exploratory Assessment of Focused Septal Growth in Hypertrophic Cardiomyopathy, An
Hager, T.[Tobias]
* 2010: Automatic Detection and Segmentation of Focal Liver Lesions in Contrast Enhanced CT Images
Hager, W.[William]
* 2012: Fast Algorithms for Image Reconstruction with Application to Partially Parallel MR Imaging
Hager, W.W.[William W.]
* 2011: Gradient-Based Methods For Sparse Recovery
* 2012: Partially parallel image reconstruction using sensitivity encoding
Hageraats, S.[Selwin]
* 2023: Rapid tomato DUS trait analysis using an optimized mobile-based coarse-to-fine instance segmentation algorithm
Hagerman, D.[David]
* 2023: Masked Autoencoder for Self-Supervised Pre-training on Lidar Point Clouds
Hagerman, J.[Jennifer]
* 2020: Assessing Soil Cover Levels during the Non-Growing Season Using Multitemporal Satellite Imagery and Spectral Unmixing Techniques
Hagerty, J.J.[Justin J.]
* 2017: Towards a Planetary Spatial Data Infrastructure