Grau Bove, J.[Josep]
* 2018: Role of Heritage Data Science in Digital Heritage, The
Includes: Grau Bove, J.[Josep] Grau-Bove, J.[Josep]
Grau Chopite, J.[Javier]
* 2020: Deep Non-Line-of-Sight Reconstruction
Grau Muedra, G.[Goncal]
* 2017: Exploitation of SAR and Optical Sentinel Data to Detect Rice Crop and Estimate Seasonal Dynamics of Leaf Area Index
Includes: Grau Muedra, G.[Goncal] Grau-Muedra, G.[Gonçal]
Grau, A.
* 1992: Texture Parametrization Method For Image Segmentation
* 1997: Improved textured images segmentation using an energy functional
* 1998: Low Cost Architecture for Structure Measure Distance Computation
* 2004: Distance between 2d-scenes based on oriented matroid theory
* 2006: Learning Variability of Image Feature Appearance Using Statistical Methods
* 2006: Matching Images Features in a Wide Base Line with ICA Descriptors
* 2006: Model-Based Localization Method by Non-speech Sound Via Wavelet Transform and Dynamic Neural Network
* 2007: Robust Industrial Machine Sounds Identification Based on Frequency Spectrum Analysis
* 2008: Single Sound Source SLAM
Includes: Grau, A. Grau, A.[Antoni]
9 for Grau, A.
Grau, E.[Eloi]
* 2015: Discrete Anisotropic Radiative Transfer (DART 5) for Modeling Airborne and Satellite Spectroradiometer and LIDAR Acquisitions of Natural and Urban Landscapes
Grau, I.[Isel]
* 2013: Predicting HIV-1 Protease and Reverse Transcriptase Drug Resistance Using Fuzzy Cognitive Maps
* 2023: Presumably correct decision sets
* 2023: Presumably Correct Undersampling
Grau, J.[Joan]
* 2021: Improved Accuracy of Riparian Zone Mapping Using Near Ground Unmanned Aerial Vehicle and Photogrammetry Method
* 2021: Using Unmanned Aerial Vehicle and LiDAR-Derived DEMs to Estimate Channels of Small Tributary Streams
Grau, M.[Markus]
* 2023: Crowd-Driven Deep Learning Tracks Amazon Deforestation
Grau, O.
* 1995: Use of explicit knowledge for the reconstruction of 3-D object geometry
* 1997: Scene Analysis System for the Generation of 3D Models, A
* 1998: 3-D Modelling of Buildings using High-Level Knowledge
* 1998: Definitions of 3-D Model Objects
* 2002: 3D image sequence acquisition for TV and film production
* 2002: ORIGAMI project: advanced tools and techniques for high-end mixing and interaction between real and virtual content, The
* 2004: combined studio production system for 3-D capturing of live action and immersive actor feedback, A
* 2005: ORIGAMI Project: Advanced tools for creating and mixing real and virtual content in film and TV production, The
* 2005: Visual media production
* 2006: Multi-camera Radiometric Surface Modelling for Image-Based Re-lighting
* 2007: Bayesian Framework for Simultaneous Matting and 3D Reconstruction, A
* 2007: Dual-Mode Deformable Models for Free-Viewpoint Video of Sports Events
* 2007: Robust Free-Viewpoint Video System for Sport Scenes, A
* 2009: Virtual Graphics for Broadcast Production
* 2011: Fast volumetric visual hull computation
* 2011: Tools for 3D-TV programme production
* 2013: Applications of Face Analysis and Modeling in Media Production
* 2014: Object Disambiguation for Augmented Reality Applications
* 2015: Discrete Light Source Estimation from Light Probes for Photorealistic Rendering
* 2016: Learning to Select Long-Track Features for Structure-From-Motion and Visual SLAM
* 2016: VConv-DAE: Deep Volumetric Shape Learning Without Object Labels
* 2017: client-server architecture for real-time view-dependent streaming of free-viewpoint video, A
* 2022: Validation of Pedestrian Detectors by Classification of Visual Detection Impairing Factors
Includes: Grau, O. Grau, O.[Oliver]
23 for Grau, O.
Grau, R.[Ricardo]
* 2008: Correlation-Based Distance Function for Nearest Neighbor Classification, A
Grau, S.
* 2009: Adaptive Cutaway with Volume Context Preservation, An
* 2013: wise cursor: assisted selection in 3D serious games, The
Includes: Grau, S. Grau, S.[Sergi]
Grau, V.[Vicente]
* 1999: Outlining of the prostate using snakes with shape restrictions based on the wavelet transform
* 2004: Hierarchical image segmentation using a correspondence with a tree model
* 2004: Improved watershed transform for medical image segmentation using prior information
* 2006: Segmentation of trabeculated structures using an anisotropic Markov random field: application to the study of the optic nerve head in glaucoma
* 2007: Registration of Multiview Real-Time 3-D Echocardiographic Sequences
* 2011: Regionally Optimised Mathematical Models of Cardiac Myocyte Orientation in Rat Hearts
* 2012: Contrast-Independent Curvilinear Structure Detection in Biomedical Images
* 2013: Model-Based Vasculature Extraction From Optical Fluorescence Cryomicrotome Images
* 2015: Fuzzy Segmentation of the Left Ventricle in Cardiac MRI Using Physiological Constraints
* 2015: Sensitivity Analysis of Diffusion Tensor MRI in Simulated Rat Myocardium
* 2016: Anomalous Diffusion in Cardiac Tissue as an Index of Myocardial Microstructure
* 2016: Development of Real-Time Magnetic Resonance Imaging of Mouse Hearts at 9.4 Tesla: Simulations and First Application
* 2016: Graph Cuts-Based Registration Revisited: A Novel Approach for Lung Image Registration Using Supervoxels and Image-Guided Filtering
* 2017: Monte Carlo Simulations of Diffusion Weighted MRI in Myocardium: Validation and Sensitivity Analysis
* 2017: Reconstruction of 3D Cardiac MR Images from 2D Slices Using Directional Total Variation
* 2019: Segmentation of Vasculature From Fluorescently Labeled Endothelial Cells in Multi-Photon Microscopy Images
* 2019: SMOD - Data Augmentation Based on Statistical Models of Deformation to Enhance Segmentation in 2D Cine Cardiac MRI
* 2019: Ventricle Surface Reconstruction from Cardiac MR Slices Using Deep Learning
* 2020: Point-Cloud Method for Automated 3D Coronary Tree Reconstruction From Multiple Non-Simultaneous Angiographic Projections
Includes: Grau, V.[Vicente] Grau, V.
19 for Grau, V.
Grauer Gray, S.[Scott]
* 2009: Hierarchical belief propagation to reduce search space using CUDA for stereo and motion estimation
* 2014: Racking focus and tracking focus on live video streams: A stereo solution
Includes: Grauer Gray, S.[Scott] Grauer-Gray, S.[Scott]
Graul, D.W.[Donald W.]
* 1987: Satellite camera image navigation
* 1987: Spacecraft camera image registration
Grauman, K.
* 2001: Communication via Eye Blinks: Detection and Duration Analysis in Real Time
* 2003: Bayesian approach to image-based visual hull reconstruction, A
* 2003: Fast Contour Matching Using Approximate Earth Mover's Distance
* 2003: Inferring 3D Structure with a Statistical Image-Based Shape Model
* 2003: Inferring 3D Structure with a Statistical Image-Based Shape Model
* 2003: Statistical Image-Based Shape Model for Visual Hull Reconstruction and 3D Structure Inference, A
* 2004: Efficient Image Matching with Distributions of Local Invariant Features
* 2004: Fast Contour Matching Using Approximate Earth Mover's Distance
* 2004: Virtual Visual Hulls: Example-Based 3D Shape Estimation from a Single Silhouette
* 2004: Virtual Visual Hulls: Example-Based 3D Shape Inference from Silhouettes
* 2005: Avoiding the Streetlight Effect: Tracking by Exploring Likelihood Modes
* 2005: Efficient Image Matching with Distributions of Local Invariant Features
* 2005: Pyramid Match Kernel: Discriminative Classification with Sets of Image Features, The
* 2005: Pyramid Match Kernel: Discriminative Classification with Sets of Image Features, The
* 2006: Approximate Correspondences in High Dimensions
* 2006: Pyramid Match Kernel: Discriminative Classification with Sets of Image Features, The
* 2006: Unsupervised Learning of Categories from Sets of Partially Matching Image Features
* 2007: Active Learning with Gaussian Processes for Object Categorization
* 2007: Pyramid Match Hashing: Sub-Linear Time Indexing Over Partial Correspondences
* 2008: Fast image search for learned metrics
* 2008: Foreground Focus: Finding Meaningful Features in Unlabeled Images
* 2008: Keywords to visual categories: Multiple-instance learning for weakly supervised object categorization
* 2009: Fast Similarity Search for Learned Metrics
* 2009: Foreground Focus: Unsupervised Learning from Partially Matching Images
* 2009: Kernelized locality-sensitive hashing for scalable image search
* 2009: Observe locally, infer globally: A space-time MRF for detecting abnormal activities with incremental updates
* 2009: Shape discovery from unlabeled image collections
* 2009: What's it going to cost you?: Predicting effort vs. informativeness for multi-label image annotations
* 2010: Accounting for the Relative Importance of Objects in Image Retrieval
* 2010: Asymmetric region-to-image matching for comparing images with generic object categories
* 2010: Collect-cut: Segmentation with top-down cues discovered in multi-object images
* 2010: Far-sighted active learning on a budget for image and video recognition
* 2010: Gaussian Processes for Object Categorization
* 2010: Learning a hierarchy of discriminative space-time neighborhood features for human action recognition
* 2010: Object-graphs for context-aware category discovery
* 2010: Reading between the Lines: Object Localization Using Implicit Cues from Image Tags
* 2010: task-driven intelligent workspace system to provide guidance feedback, A
* 2010: Top-down pairwise potentials for piecing together multi-class segmentation puzzles
* 2011: Actively selecting annotations among objects and attributes
* 2011: Annotator rationales for visual recognition
* 2011: Boundary Preserving Dense Local Regions
* 2011: Clues from the beaten path: Location estimation with bursty sequences of tourist photos
* 2011: Cost-Sensitive Active Visual Category Learning
* 2011: Efficient region search for object detection
* 2011: Face Discovery with Social Context
* 2011: Interactively building a discriminative vocabulary of nameable attributes
* 2011: Key-segments for video object segmentation
* 2011: Large-Scale Live Active Learning: Training Object Detectors with Crawled Data and Crowds
* 2011: Learning the easy things first: Self-paced visual category discovery
* 2011: Relative attributes
* 2011: Sharing features between objects and their attributes
* 2012: Active Frame Selection for Label Propagation in Videos
* 2012: Discovering important people and objects for egocentric video summarization
* 2012: Discovering localized attributes for fine-grained recognition
* 2012: Efficient activity detection with max-subgraph search
* 2012: Geodesic flow kernel for unsupervised domain adaptation
* 2012: Kernelized Locality-Sensitive Hashing
* 2012: Learning the Relative Importance of Objects from Tagged Images for Retrieval and Cross-Modal Search
* 2012: Object-Graphs for Context-Aware Visual Category Discovery
* 2012: Reading between the Lines: Object Localization Using Implicit Cues from Image Tags
* 2012: Shape Sharing for Object Segmentation
* 2012: WhittleSearch: Image search with relative attribute feedback
* 2013: Active Learning of an Action Detector from Untrimmed Videos
* 2013: Attribute Adaptation for Personalized Image Search
* 2013: Attribute Pivots for Guiding Relevance Feedback in Image Search
* 2013: Deformable Spatial Pyramid Matching for Fast Dense Correspondences
* 2013: Implied Feedback: Learning Nuances of User Behavior in Image Search
* 2013: Object-Centric Spatio-Temporal Pyramids for Egocentric Activity Recognition
* 2013: Predicting Sufficient Annotation Strength for Interactive Foreground Segmentation
* 2013: Reconstructing a fragmented face from a cryptographic identification protocol
* 2013: Story-Driven Summarization for Egocentric Video
* 2013: Watching Unlabeled Video Helps Learn New Human Actions from Very Few Labeled Snapshots
* 2014: Beyond Comparing Image Pairs: Setwise Active Learning for Relative Attributes
* 2014: Decorrelating Semantic Visual Attributes by Resisting the Urge to Share
* 2014: Detecting Snap Points in Egocentric Video with a Web Photo Prior
* 2014: Editorial: Special Issue on Active and Interactive Methods in Computer Vision
* 2014: Fine-Grained Visual Comparisons with Local Learning
* 2014: Hashing Hyperplane Queries to Near Points with Applications to Large-Scale Active Learning
* 2014: Inferring Analogous Attributes
* 2014: Inferring Unseen Views of People
* 2014: Large-Scale Live Active Learning: Training Object Detectors with Crawled Data and Crowds
* 2014: Learning Kernels for Unsupervised Domain Adaptation with Applications to Visual Object Recognition
* 2014: Predicting the Location of interactees in Novel Human-Object Interactions
* 2014: Supervoxel-Consistent Foreground Propagation in Video
* 2014: Which Image Pairs Will Cosegment Well? Predicting Partners for Cosegmentation
* 2015: Action and Attention in First-person Vision
* 2015: Boundary Preserving Dense Local Regions
* 2015: Discovering Attribute Shades of Meaning with the Crowd
* 2015: Just Noticeable Differences in Visual Attributes
* 2015: Learning Image Representations Tied to Ego-Motion
* 2015: Predicting Important Objects for Egocentric Video Summarization
* 2015: WhittleSearch: Interactive Image Search with Relative Attribute Feedback
* 2016: Active Image Segmentation Propagation
* 2016: Crowdsourcing in Computer Vision
* 2016: Detecting Engagement in Egocentric Video
* 2016: Leaving Some Stones Unturned: Dynamic Feature Prioritization for Activity Detection in Streaming Video
* 2016: Look-Ahead Before You Leap: End-to-End Active Recognition by Forecasting the Effect of Motion
* 2016: Object-Centric Representation Learning from Unlabeled Videos
* 2016: Pano2Vid: Automatic Cinematography for Watching 360° Videos
* 2016: Pull the Plug? Predicting If Computers or Humans Should Segment Images
* 2016: Slow and Steady Feature Analysis: Higher Order Temporal Coherence in Video
* 2016: Summary Transfer: Exemplar-Based Subset Selection for Video Summarization
* 2016: Text detection in stores using a repetition prior
* 2016: Video Summarization with Long Short-Term Memory
* 2017: Detangling People: Individuating Multiple Close People and Their Body Parts via Region Assembly
* 2017: Efficient Activity Detection in Untrimmed Video with Max-Subgraph Search
* 2017: Fashion Forward: Forecasting Visual Style in Fashion
* 2017: FusionSeg: Learning to Combine Motion and Appearance for Fully Automatic Segmentation of Generic Objects in Videos
* 2017: Guest Editorial: Best of CVPR 2015
* 2017: Learning the Latent Look: Unsupervised Discovery of a Style-Coherent Embedding from Fashion Images
* 2017: Making 360° Video Watchable in 2D: Learning Videography for Click Free Viewing
* 2017: On-demand Learning for Deep Image Restoration
* 2017: Seeing Invisible Poses: Estimating 3D Body Pose from Egocentric Video
* 2017: Semantic Jitter: Dense Supervision for Visual Comparisons via Synthetic Images
* 2018: Attributes as Operators: Factorizing Unseen Attribute-Object Compositions
* 2018: BlockDrop: Dynamic Inference Paths in Residual Networks
* 2018: Compare and Contrast: Learning Prominent Visual Differences
* 2018: Creating Capsule Wardrobes from Fashion Images
* 2018: Im2Flow: Motion Hallucination from Static Images for Action Recognition
* 2018: Learning Compressible 360° Video Isomers
* 2018: Learning Image Representations Tied to Egomotion from Unlabeled Video
* 2018: Learning to Look Around: Intelligently Exploring Unseen Environments for Unknown Tasks
* 2018: Learning to Separate Object Sounds by Watching Unlabeled Video
* 2018: Predicting Foreground Object Ambiguity and Efficiently Crowdsourcing the Segmentation(s)
* 2018: Retrospective Encoders for Video Summarization
* 2018: ShapeCodes: Self-supervised Feature Learning by Lifting Views to Viewgrids
* 2018: Sidekick Policy Learning for Active Visual Exploration
* 2018: Snap Angle Prediction for 360° Panoramas
* 2018: Subjects and Their Objects: Localizing Interactees for a Person-Centric View of Importance
* 2018: VizWiz Grand Challenge: Answering Visual Questions from Blind People
* 2019: 2.5D Visual Sound
* 2019: Click Carving: Interactive Object Segmentation in Images and Videos with Point Clicks
* 2019: Co-Separating Sounds of Visual Objects
* 2019: End-to-End Policy Learning for Active Visual Categorization
* 2019: Extreme Relative Pose Estimation for RGB-D Scans via Scene Completion
* 2019: Fashion++: Minimal Edits for Outfit Improvement
* 2019: Grounded Human-Object Interaction Hotspots From Video
* 2019: Kernel Transformer Networks for Compact Spherical Convolution
* 2019: Less Is More: Learning Highlight Detection From Video Duration
* 2019: Pixel Objectness: Learning to Segment Generic Objects Automatically in Images and Videos
* 2019: Predicting How to Distribute Work Between Algorithms and Humans to Segment an Image Batch
* 2019: SpotTune: Transfer Learning Through Adaptive Fine-Tuning
* 2019: Thinking Outside the Pool: Active Training Image Creation for Relative Attributes
* 2020: Densifying Supervision for Fine-Grained Visual Comparisons
* 2020: Don't Judge an Object by Its Context: Learning to Overcome Contextual Bias
* 2020: Ego-Topo: Environment Affordances From Egocentric Video
* 2020: From Paris to Berlin: Discovering Fashion Style Influences Around the World
* 2020: Listen to Look: Action Recognition by Previewing Audio
* 2020: Occupancy Anticipation for Efficient Exploration and Navigation
* 2020: Proposal-based Video Completion
* 2020: Soundspaces: Audio-visual Navigation in 3d Environments
* 2020: ViBE: Dressing for Diverse Body Shapes
* 2020: Visualechoes: Spatial Image Representation Learning Through Echolocation
* 2020: You2Me: Inferring Body Pose in Egocentric Video via First and Second Person Interactions
* 2021: Anticipative Video Transformer
* 2021: Audio-Visual Floorplan Reconstruction
* 2021: Ego-Exo: Transferring Visual Representations from Third-person to First-person Videos
* 2021: Exploration of Embodied Visual Exploration, An
* 2021: Fashion IQ: A New Dataset Towards Retrieving Images by Natural Language Feedback
* 2021: From Culture to Clothing: Discovering the World Events Behind A Century of Fashion Images
* 2021: Learning Compressible 360° Video Isomers
* 2021: Modeling Fashion Influence From Photos
* 2021: Move2Hear: Active Audio-Visual Source Separation
* 2021: Multiview Pseudo-Labeling for Semi-supervised Learning from Video
* 2021: Semantic Audio-Visual Navigation
* 2021: VisualVoice: Audio-Visual Speech Separation with Cross-Modal Consistency
* 2022: Active Audio-Visual Separation of Dynamic Sound Sources
* 2022: Discovering Underground Maps from Fashion
* 2022: Ego4D: Around the World in 3,000 Hours of Egocentric Video
* 2022: Egocentric Activity Recognition and Localization on a 3D Map
* 2022: Learning Spherical Convolution for 360° Recognition
* 2022: PONI: Potential Functions for ObjectGoal Navigation with Interaction-free Learning
* 2022: Visual Acoustic Matching
* 2022: Zero Experience Required: Plug & Play Modular Transfer Learning for Semantic Visual Navigation
* 2023: Chat2Map: Efficient Scene Mapping from Multi-Ego Conversations
* 2023: Editorial: Special Section on Egocentric Perception
* 2023: Egocentric Video Task Translation
* 2023: HierVL: Learning Hierarchical Video-Language Embeddings
* 2023: NaQ: Leveraging Narrations as Queries to Supervise Episodic Memory
* 2023: Novel-View Acoustic Synthesis
* 2023: Visually-Guided Audio Spatialization in Video with Geometry-Aware Multi-task Learning
Includes: Grauman, K. Grauman, K.[Kristen]
181 for Grauman, K.