Index for graf

Graf, A. * 2002: View-based dynamic object recognition based on human perception
* 2003: Recognition with local features: the kernel recipe
* 2016: Combining Sun-Induced Chlorophyll Fluorescence and Photochemical Reflectance Index Improves Diurnal Modeling of Gross Primary Productivity
Includes: Graf, A. Graf, A.[Alexander]

Graf, A.B.A.[Arnulf B.A.] * 2002: Gender Classification of Human Faces

Graf, B.[Birgit] * 2011: Going into depth: Evaluating 2D and 3D cues for object classification on a new, large-scale object dataset

Graf, C. * 2019: Mass Movements of An Alpine Rock Glacier

Graf, E.[Erich] * 2023: Monocular Depth Estimation Challenge, The

Graf, E.W. * 2017: Local Depth Edge Detection in Humans and Deep Neural Networks
* 2023: Second Monocular Depth Estimation Challenge, The
Includes: Graf, E.W. Graf, E.W.[Erich W.]

Graf, F.[Felix] * 2010: Counting Lymphocytes in Histopathology Images Using Connected Components
* 2011: Robust segmentation of relevant regions in low depth of field images
Includes: Graf, F.[Felix] Graf, F.[Franz]

Graf, H.[Holger] * 2008: 3D Eye Position Based Interaction within Hierarchically Represented Images
* 2008: Similarity Measure of the Visual Features Using the Constrained Hierarchical Clustering for Content Based Image Retrieval
* 2009: Automatic skeleton extraction and splitting of target objects
* 2010: Real-time 3D reconstruction and pose estimation for human motion analysis
* 2011: X3dom as Carrier of the Virtual Heritage
* 2013: Augmented reality supporting user-centric building information management
* 2018: Augmented Reality Views: Discussing the Utility of Visual Elements by Mediation Means in Industrial AR from a Design Perspective
* 2018: CAE/VR Integration: A Qualitative Assessment of Advanced Visualization for Interactive Conceptual Simulations (ICS) in Industrial Use
* 2018: Virtual Reality Based Space Operations: A Study of ESA's Potential for VR Based Training and Simulation
Includes: Graf, H.[Holger] Graf, H.
9 for Graf, H.

Graf, H.F. * 2013: Microwave Radiometric Remote Sensing of Volcanic Ash Clouds From Space: Model and Data Analysis

Graf, H.P. * 1992: Image Recognition with an Analog Neural-Net Chip
* 1993: Image skeletonization method
* 1995: Analysis of complex and noisy check images
* 1995: Image Recognition with an Analog Neural-Net Chip
* 1995: new frame interpolation scheme for talking head sequences, A
* 1995: Speech-assisted lip synchronization in audio-visual communications
* 1996: Multi-modal system for locating heads and faces
* 1996: Robust face feature analysis for automatic speechreading and character animation
* 1998: image transform approach for HMM based automatic lipreading, An
* 1998: Method for locating a subject's lips in a facial image
* 1999: Multi-modal method for locating objects in images
* 2000: Audio-Visual Unit Selection for the Synthesis of Photo-Realistic Talking-Heads
* 2000: Face Analysis for the Synthesis of Photo-Realistic Talking Heads
* 2000: Robust multi-modal method for recognizing objects
* 2001: Sample-based Synthesis of Talking Heads
* 2001: Virtual Light: Digitally-generated Lighting for Video Conferencing Applications
* 2002: Visual prosody: facial movements accompanying speech
* 2003: Audio-visual selection process for the synthesis of photo-realistic talking-head animations
* 2003: Lifelike talking faces for interactive services
* 2007: System and method for triphone-based unit selection for visual speech synthesis
* 2008: Grading nuclear pleomorphism on histological micrographs
* 2008: System and method for triphone-based unit selection for visual speech synthesis
* 2018: Attend and Interact: Higher-Order Object Interactions for Video Understanding
* 2020: 15 Keypoints Is All You Need
* 2020: S3VAE: Self-Supervised Sequential VAE for Representation Disentanglement and Data Generation
* 2022: COMPOSER: Compositional Reasoning of Group Activity in Videos with Keypoint-Only Modality
Includes: Graf, H.P. Graf, H.P.[Hans P.] Graf, H.P.[Hans Peter]
26 for Graf, H.P.

Graf, K.C. * 1994: Perspective Terrain Visualization: A Fusion of Remote Sensing, GIS, and Computer Graphics

Graf, L.[Lukas] * 2018: Accuracy Assessment of Digital Terrain Model Dataset Sources for Hydrogeomorphological Modelling in Small Mediterranean Catchments
* 2020: Semantic Segmentation of Sentinel-2 Imagery for Mapping Irrigation Center Pivots

Graf, M.[Manuel] * 2011: Quadrature Nodes Meet Stippling Dots
* 2022: Image Registration Model in Electron Backscatter Diffraction, An
* 2023: Wasserstein Gradient Flows of the Discrepancy with Distance Kernel on the Line
Includes: Graf, M.[Manuel] Gräf, M.[Manuel] (Maybe also Graef, M.)

Graf, N.[Norbert] * 2016: Robust Interactive Multi-label Segmentation with an Advanced Edge Detector

Graf, P.[Peter] * 2022: Modular and Transferable Reinforcement Learning Framework for the Fleet Rebalancing Problem, A

Graf, R.[Renata] * 2018: Impact of the Parameterisation of Physiographic Features of Urbanised Catchment Areas on the Spatial Distribution of Components of the Water Balance Using the WetSpass Model, The

Graf, S.[Simone] * 2005: Analytically Solving Radial Distortion Parameters
* 2005: Re-Projective vs. Projective Camera Calibration: Effects on 3D-Reconstruction
* 2006: Closed Form Solution for Monocular Re-Projective 3D Pose Estimation of Regular Planar Patterns, A
Includes: Graf, S.[Simone] Graf, S.

Graf, T. * 2003: IR Pedestrian Detection for Advanced Driver Assistance Systems
* 2004: Extracting road features from color images using a cognitive approach
* 2004: High accuracy stereo vision system for far distance obstacle detection
* 2004: multi-resolution approach for infrared vision-based pedestrian detection, A
* 2005: Model-Based Validation Approaches and Matching Techniques for Automotive Vision Based Pedestrian Detection
* 2007: Online Extrinsic Parameters Calibration for Stereovision Systems Used in Far-Range Detection Vehicle Applications
* 2008: Color image segmentation in HSI space for automotive applications
* 2010: Survey of Pedestrian Detection for Advanced Driver Assistance Systems
Includes: Graf, T. Graf, T.[Thorsten]
8 for Graf, T.

Grafe, K. * 2016: 2D Images Recorded With a Single-Sided Magnetic Particle Imaging Scanner
Includes: Grafe, K. Gräfe, K. (Maybe also Graefe, K.)

Grafe, M. * 2011: Virtual Reality and Augmented Reality in Industry

Grafendorfer, T. * 2006: Rapid Polarizing Field Cycling in Magnetic Resonance Imaging
* 2016: Depletion-Mode GaN HEMT Q-Spoil Switches for MRI Coils

Graff, B. * 2007: Methodology for Automated Vector-to-Image Registration, A

Graff, C.A. * 2020: Forecasting Daily Wildfire Activity Using Poisson Regression

Graff, M.[Mario] * 2013: Genetic Programming of Prototypes for Pattern Classification
* 2017: simple approach to multilingual polarity classification in Twitter, A
* 2019: Appearance model update based on online learning and soft-biometrics traits for people re-identification in multi-camera environments

Graff, R. * 2015: Bema: A multimodal interface for expert experiential analysis of political assemblies at the Pnyx in ancient Greece

Graffieti, G.[Gabriele] * 2021: Avalanche: an End-to-End Library for Continual Learning
* 2021: Towards Artifacts-Free Image Defogging
* 2022: Incremental Training of Face Morphing Detectors

Graffigna, V.[Victoria] * 2022: Comprehensive Study on the Tropospheric Wet Delay and Horizontal Gradients during a Severe Weather Event
* 2022: Wide-Area GNSS Corrections for Precise Positioning and Navigation in Agriculture
* 2023: Assessment of GRAS Ionospheric Measurements for Ionospheric Model Assimilation
* 2023: Correlation between Ionospheric Electron Density Variations Derived from Swarm Satellite Observations and Seismic Activity at the Australian-Pacific Tectonic Plate Boundary, The
* 2023: Real-Time Tomographic Inversion of Truncated Ionospheric GNSS Radio Occultations
* 2023: Topside Ionospheric Tomography Exclusively Based on LEO POD GPS Carrier Phases: Application to Autonomous LEO DCB Estimation
Includes: Graffigna, V.[Victoria] Graffigna, V.

Graffigne, C. * 1988: Blind Texture Segmentation
* 1990: Boundary Detection by Constrained Optimization
* 1992: Deformable Region Model Using Stochastic Processes Applied to Echocardiographic Images, A
* 1992: Non-supervised segmentation using multi-level Markov random fields
* 1992: Stochastic Segmentation of Ultrasound Images
* 1994: hierarchical method for detection of moving objects, A
* 1994: Segmentation of echocardiographic images with Markov random fields
* 1996: Segmentation of Multibeam Acoustic Imagery in the Exploration of the Deep Sea-Bottom
* 1997: Continuous Label Bayesian Segmentation, Applications to Medical Brain Images
* 2001: 3D biological object detection and labeling in multidimensional microscopy imaging
* 2001: Contextual performance prediction for low-level image analysis algorithms
* 2003: 3-D aggregated object detection and labeling from multivariate confocal microscopy images: A model validation approach
12 for Graffigne, C.

Graffunder, A. * 2007: Real-Time System for Adaptive Video Streaming Based on SVC

Grafl, A.[Andreas] * 2013: Practical Approach for Extracting Tree Models in Forest Environments Based on Equirectangular Projections of Terrestrial Laser Scans, A

Grafl, M.[Michael] * 2013: Scalable Media Coding Enabling Content-Aware Networking
* 2014: MPEG-M: A digital media ecosystem for interoperable applications

Grafsgaard, J. * 2018: Generative Multimodal Models of Nonverbal Synchrony in Close Relationships

Grafton, M.[Miles] * 2021: Evaluation of Point Hyperspectral Reflectance and Multivariate Regression Models for Grapevine Water Status Estimation
* 2022: Evaluation of the Use of UAV-Derived Vegetation Indices and Environmental Variables for Grapevine Water Status Monitoring Based on Machine Learning Algorithms and SHAP Analysis
* 2023: Assessing the Leaf Blade Nutrient Status of Pinot Noir Using Hyperspectral Reflectance and Machine Learning Models
* 2023: Using Remote and Proximal Sensing Data and Vine Vigor Parameters for Non-Destructive and Rapid Prediction of Grape Quality

Grafton, S.[Scott] * 2010: Anatomical parts-based regression using non-negative matrix factorization
* 2011: Generalized subspace based high dimensional density estimation
* 2011: Probabilistic subspace-based learning of shape dynamics modes for multi-view action recognition
* 2012: Intra-class multi-output regression based subspace analysis

Grafton, S.T.[Scott T.] * 2020: Counterfactual Vision-and-Language Navigation via Adversarial Path Sampler
* 2021: StressNet: Detecting Stress in Thermal Videos
* 2022: M3L: Language-based Video Editing via Multi-Modal Multi-Level Transformers
* 2023: ReeBundle: A Method for Topological Modeling of White Matter Pathways Using Diffusion MRI

Grafulla Gonzalez, B.[Beatriz] * 2006: Physical optics modelling of millimetre-wave personnel scanners
Includes: Grafulla Gonzalez, B.[Beatriz] Grafulla-González, B.[Beatriz]

Index for "g"


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