Grab, T.[Thomas]
* 2023: AI-Prepared Autonomous Freshwater Monitoring and Sea Ground Detection by an Autonomous Surface Vehicle
Graba, F.[Fares]
* 2014: Non-additive imprecise image super-resolution
* 2017: Non-Additive Imprecise Image Super-Resolution in a Semi-Blind Context
Grabau, J.D.
* 2017: Right Ventricular Strain, Torsion, and Dyssynchrony in Healthy Subjects Using 3D Spiral Cine DENSE Magnetic Resonance Imaging
Grabbe, S.[Shon]
* 2023: Probabilistic Wildfire Segmentation Using Supervised Deep Generative Model from Satellite Imagery
Grabe, N.
* 2018: Tumor Cell Load and Heterogeneity Estimation From Diffusion-Weighted MRI Calibrated With Histological Data: an Example From Lung Cancer
Grabel, P.[Philipp]
* 2021: Guided Representation Learning for the Classification of Hematopoietic Cells
* 2022: Analysis of automatically generated embedding guides for cell classification
* 2022: Automatic Embedding Interventions for the Classification of Hematopoietic Cells
* 2022: Spatial Maturity Regression for the Classification of Hematopoietic Cells
Includes: Grabel, P.[Philipp] Gräbel, P.[Philipp] (Maybe also Graebel, P.)
Graber, C.
* 2020: Dynamic Neural Relational Inference
* 2020: Dynamic Neural Relational Inference for Forecasting Trajectories
* 2021: Panoptic Segmentation Forecasting
* 2021: Panoptic Segmentation Forecasting
* 2022: Joint Forecasting of Panoptic Segmentations with Difference Attention
* 2022: Joint Forecasting of Panoptic Segmentations with Difference Attention
Includes: Graber, C. Graber, C.[Colin]
Graber, G.[Gottfried]
* 2008: Convex Formulation of Continuous Multi-label Problems, A
* 2011: Online 3D reconstruction using convex optimization
* 2012: Dense reconstruction on-the-fly
* 2015: Efficient minimal-surface regularization of perspective depth maps in variational stereo
* 2016: Real-Time Intensity-Image Reconstruction for Event Cameras Using Manifold Regularisation
Graber, H.C.
* 2013: Analysis of Internal Wave Signatures in Marine Radar Data
* 2013: Descalloping Postprocessor for ScanSAR Images of Ocean Scenes, A
* 2014: Understanding Internal Wave-Wave Interaction Patterns Observed in Satellite Images of the Mid-Atlantic Bight
* 2015: Advanced Remote Sensing of Internal Waves by Spaceborne Along-Track InSAR: A Demonstration With TerraSAR-X
* 2015: New Approach to Ocean Wave Parameter Estimates From C-Band ScanSAR Images, A
* 2015: Tropical Cyclone Winds Retrieved From C-Band Cross-Polarized Synthetic Aperture Radar
Graber, H.L.
* 1997: Optical imaging of anatomical maps derived from magnetic resonance images using time-independent optical sources
* 2002: Imaging of spatiotemporal coincident states by DC optical tomography
Graber, N.[Nathan]
* 2023: Successful Integration of UAV Aeromagnetic Mapping with Terrestrial Methane Emissions Surveys in Orphaned Well Remediation
Grabham, D.[Dan]
* 2011: Beyond Kinect: Microsoft's vision for next-gen interfaces
Grabiec, M.[Mariusz]
* 2019: Quality Assessment and Glaciological Applications of Digital Elevation Models Derived from Space-Borne and Aerial Images over Two Tidewater Glaciers of Southern Spitsbergen
* 2023: Changes in the Structure of the Snow Cover of Hansbreen (S Spitsbergen) Derived from Repeated High-Frequency Radio-Echo Sounding
* 2023: Comparison of Three Methods for Distinguishing Glacier Zones Using Satellite SAR Data
* 2023: Quantifying Changes in Extent and Velocity of the Hornbreen/Hambergbreen Glacial System (SW, Spitsbergen) Based on Timeseries of Multispectral Satellite Imagery
Grabinger, L.[Lisa]
* 2024: Causal Models to Support Scenario-Based Testing of ADAS
Grabinski, J.[Julia]
* 2022: FrequencyLowCut Pooling: Plug and Play Against Catastrophic Overfitting
* 2023: On the unreasonable vulnerability of transformers for image restoration - and an easy fix
Grabisch, M.[Michel]
* 2023: Interpreting the Contribution of Sensors in Blind Source Extraction by Means of Shapley Values
Grabler, F.[Floraine]
* 2007: Parsing Images of Architectural Scenes
Grabli, S.[Stephane]
* 2003: Procedural Approach to Style for NPR Line Drawing from 3D model, A
* 2019: High-Quality Face Capture Using Anatomical Muscles
Includes: Grabli, S.[Stephane] Grabli, S.[Stéphane]
Grabner, A.[Alexander]
* 2018: 3D Pose Estimation and 3D Model Retrieval for Objects in the Wild
* 2019: GP2C: Geometric Projection Parameter Consensus for Joint 3D Pose and Focal Length Estimation in the Wild
* 2019: Location Field Descriptors: Single Image 3D Model Retrieval in the Wild
* 2020: Geometric Correspondence Fields: Learned Differentiable Rendering for 3d Pose Refinement in the Wild
Includes: Grabner, A.[Alexander] Grabner, A.
Grabner, H.[Helmut]
* 2005: Conservative Visual Learning for Object Detection with Minimal Hand Labeling Effort
* 2005: On-line Conservative Learning for Person Detection
* 2006: Fast Approximated SIFT
* 2006: On-line Boosting and Vision
* 2006: Real-Time Tracking via On-line Boosting
* 2007: 3D Teacher for Car Detection in Aerial Images, A
* 2007: Eigenboosting: Combining Discriminative and Generative Information
* 2007: Flea, Do You Remember Me?
* 2007: Learning Features for Tracking
* 2008: 3D tracking in unknown environments using on-line keypoint learning for mobile augmented reality
* 2008: On-line boosting-based car detection from aerial images
* 2008: Semi-supervised boosting using visual similarity learning
* 2008: Semi-supervised On-Line Boosting for Robust Tracking
* 2008: SERBoost: Semi-supervised Boosting with Expectation Regularization
* 2008: Training sequential on-line boosting classifier for visual tracking
* 2008: Visual on-line learning in distributed camera networks
* 2009: Beyond semi-supervised tracking: Tracking should be as simple as detection, but not simpler than recognition
* 2009: Classifier grids for robust adaptive object detection
* 2009: Hunting Nessie: Real-time abnormality detection from webcams
* 2009: Mining from large image sets
* 2009: Segmentation-based Urban Traffic Scene Understanding
* 2009: Tracker trees for unusual event detection
* 2010: Automatic Workflow Monitoring in Industrial Environments
* 2010: Cascaded Confidence Filtering for Improved Tracking-by-Detection
* 2010: Exploiting simple hierarchies for unsupervised human behavior analysis
* 2010: Object Flow: Learning Object Displacement
* 2010: Tools for semi-automatic monitoring of industrial workflows
* 2010: Tracking the invisible: Learning where the object might be
* 2011: Efficient 3D Object Detection using Multiple Pose-Specific Classifiers
* 2011: Improved person detection in industrial environments using multiple self-calibrated cameras
* 2011: Temporal Relations in Videos for Unsupervised Activity Analysis
* 2011: Transferring activities: Updating human behavior analysis
* 2011: Unsupervised workflow discovery in industrial environments
* 2011: What makes a chair a chair?
* 2012: Dynamic Objectness for Adaptive Tracking
* 2012: Exploiting Physical Inconsistencies for 3D Scene Understanding
* 2013: Consumer Depth Cameras for Computer Vision
* 2013: Interestingness of Images, The
* 2014: Creating Summaries from User Videos
* 2015: Video summarization by learning submodular mixtures of objectives
* 2020: Observer Dependent Lossy Image Compression
* 2022: Who wants to be a Click-Millionaire? On the Influence of Thumbnails and Captions
Includes: Grabner, H.[Helmut] Grabner, H.
42 for Grabner, H.
Grabner, M.[Markus]
* 2001: Virtual Habitat: Models of the Urban Outdoors
* 2002: Compressed Adaptive Multiresolution Encoding
* 2006: Fast Approximated SIFT
* 2006: Real-Time Tracking via On-line Boosting
* 2007: Flea, Do You Remember Me?
* 2007: Learning Features for Tracking
* 2008: 3D tracking in unknown environments using on-line keypoint learning for mobile augmented reality
* 2008: Efficient Tracking as Linear Program on Weak Binary Classifiers
* 2009: Variational Approach to Semiautomatic Generation of Digital Terrain Models, A
Includes: Grabner, M.[Markus] Grabner, M. Grabner, M.[Michael]
9 for Grabner, M.
Grabovskii, V.[Vasilii]
* 2022: Fluid Migration through Permafrost and the Pool of Greenhouse Gases in Frozen Soils of an Oil and Gas Field
Grabovskis, A.
* 2021: Skin Complications of Diabetes Mellitus Revealed by Polarized Hyperspectral Imaging and Machine Learning
* 2023: Photoplethysmography imaging algorithm for real-time monitoring of skin perfusion maps
Includes: Grabovskis, A. Grabovskis, A.[Andris]
Grabowski, A.
* 2011: Vision safety system based on cellular neural networks
Grabowski, B.[Bartosz]
* 2020: Effective Training of Deep Convolutional Neural Networks for Hyperspectral Image Classification through Artificial Labeling
* 2022: Improving Autoencoder Training Performance for Hyperspectral Unmixing with Network Reinitialisation
Grabowski, K.[Kamil]
* 2010: Reliable algorithm for iris segmentation in eye image
* 2011: Hardware Architecture Optimized for Iris Recognition
* 2012: reliable iris recognition algorithm based on reverse biorthogonal wavelet transform, A
* 2017: Estimation of measurement uncertainty in stereo vision system
Includes: Grabowski, K.[Kamil] Grabowski, K.
Grabowski, M.
* 2019: Through the Looking Glass(es): Impacts of Wearable Augmented Reality Displays on Operators in a Safety-Critical System
Grabowski, N.
* 1995: Inverse halftoning using binary permutation filters
Grabowski, T.J.[Thomas J.]
* 2006: Introduction to the Non-rigid Image Registration Evaluation Project (NIREP)
* 2014: Voxel Selection Framework in Multi-Voxel Pattern Analysis of fMRI Data for Prediction of Neural Response to Visual Stimuli
Includes: Grabowski, T.J.[Thomas J.] Grabowski, T.J.
Grabska, E.[Ewa]
* 2019: Forest Stand Species Mapping Using the Sentinel-2 Time Series
* 2020: Continuous Detection of Small-Scale Changes in Scots Pine Dominated Stands Using Dense Sentinel-2 Time Series
Grabski, W.
* 2015: Empty vehicles management as a method for reducing passenger waiting time in Personal Rapid Transit networks