Welland, G.V.
* 1995: Human Face Perception in Degraded Images
Wellbrock, N.B.[Nicholas B.]
* 2023: Introducing ICEDAP: An Iterative Coastal Embayment Delineation and Analysis Process with Applications for the Management of Coastal Change
Welle, T.[Torsten]
* 2022: Mapping Dominant Tree Species of German Forests
Wellekens, C.J.
* 1990: Links between Markov models and multilayer perceptrons
Wellenreuther, M.[Maren]
* 2021: Deep Convolutional Neural Networks for Fish Weight Prediction from Images
Wellens, J.
* 2017: Assessment of AquaCrop for winter wheat using satellite derived fCover data
* 2017: Potato monitoring in Belgium with WatchITGrow
* 2019: Using Multi-Temporal Landsat Images and Support Vector Machine to Assess the Changes in Agricultural Irrigated Areas in the Mogtedo Region, Burkina Faso
* 2022: Early Prediction of Coffee Yield in the Central Highlands of Vietnam Using a Statistical Approach and Satellite Remote Sensing Vegetation Biophysical Variables
* 2022: In-Depth Assessment of the Drivers Changing China's Crop Production Using an LMDI Decomposition Approach, An
* 2023: Crop Phenology Modelling Using Proximal and Satellite Sensor Data
* 2024: Mapping the Spatiotemporal Dynamics of Cropland Abandonment and Recultivation across the Yangtze River Basin
Includes: Wellens, J. Wellens, J.[Joost]
7 for Wellens, J.
Weller, A.[Adrian]
* 2021: Orthogonal Over-Parameterized Training
* 2022: Structural Causal 3D Reconstruction
* 2022: Towards Principled Disentanglement for Domain Generalization
* 2023: Pairwise Similarity Learning is SimPLE
* 2023: Self-Guided Belief Propagation: A Homotopy Continuation Method
* 2023: SphereFace Revived: Unifying Hyperspherical Face Recognition
Weller, C.
* 2016: Potential Of UAV-based Laser Scanner And Multispectral Camera Data In Building Inspection
Weller, D.E.[Donald E.]
* 2006: Comparison of Automated Watershed Delineations: Effects on Land Cover Areas, Percentages, and Relationships to Nutrient Discharge
Weller, D.S.
* 2013: Non-Cartesian MRI Reconstruction With Automatic Regularization Via Monte-Carlo SURE
* 2013: Sparsity-Promoting Calibration for GRAPPA Accelerated Parallel MRI Reconstruction
* 2014: Augmented Lagrangian with Variable Splitting for Faster Non-Cartesian L_1-SPIRiT MR Image Reconstruction
* 2014: Phase retrieval of sparse signals using optimization transfer and ADMM
* 2016: Analysis-form sparse phase retrieval using variable-splitting
* 2016: Comparison-Based Image Quality Assessment for Selecting Image Restoration Parameters
* 2016: Denoising method selection by comparison-based image quality assessment
* 2016: Edge-based texture granularity detection
* 2016: Reconstruction with dictionary learning for accelerated parallel magnetic resonance imaging
* 2017: Content-aware neuron image enhancement
* 2019: Content-Aware Enhancement of Images With Filamentous Structures
* 2019: Structure-Based Intensity Propagation for 3-D Brain Reconstruction With Multilayer Section Microscopy
Includes: Weller, D.S. Weller, D.S.[Daniel S.]
12 for Weller, D.S.
Weller, G.[Gert]
* 2019: Detecting sleep in drivers during highly automated driving: the potential of physiological parameters
Weller, H.
* 2016: Researching Knowledge Concerns in Virtual Historical Architecture
Weller, J.[Jamie]
* 2021: Cardiac Modeling for Multisystem Inflammatory Syndrome in Children (MIS-C, PIMS-TS)
Weller, M.[Markus]
* 2022: Towards NGGM: Laser Tracking Instrument for the Next Generation of Gravity Missions
Weller, R.
* 2015: Validation Methods for Digital Road Maps in Predictive Control
* 2024: Effects of Markers in Training Datasets on the Accuracy of 6D Pose Estimation
Includes: Weller, R. Weller, R.[Rene]
Welles, B.F.
* 2020: Multiparty Visual Co-Occurrences for Estimating Personality Traits in Group Meetings
Welles, K.B.[Kenneth Brakeley]
* 2005: Method and system for calibrating relative fields of view of multiple cameras
Includes: Welles, K.B.[Kenneth Brakeley] Welles, II, K.B.[Kenneth Brakeley]
Welling, M.
* 2000: Towards Automatic Discovery of Object Categories
* 2000: Unsupervised Learning of Models for Recognition
* 2000: Viewpoint-Invariant Learning and Detection of Human Heads
* 2001: Positive tensor factorization
* 2005: Combining Generative Models and Fisher Kernels for Object Recognition
* 2008: Hybrid Generative-Discriminative Visual Categorization
* 2008: Incremental learning of nonparametric Bayesian mixture models
* 2008: Unsupervised learning of visual taxonomies
* 2011: Generalized darting Monte Carlo
* 2011: Integrating local classifiers through nonlinear dynamics on label graphs with an application to image segmentation
* 2011: Unsupervised Organization of Image Collections: Taxonomies and Beyond
* 2013: Lazy Man's Approach to Benchmarking: Semisupervised Classifier Evaluation and Recalibration, A
* 2019: Data-Free Quantization Through Weight Equalization and Bias Correction
* 2020: Guided Variational Autoencoder for Disentanglement Learning
* 2021: Predictive Coding with Topographic Variational Autoencoders
* 2023: Efficient Neural PDE-Solvers using Quantization Aware Training
Includes: Welling, M. Welling, M.[Max]
16 for Welling, M.
Welling, M.M.
* 2020: Extending the Hybrid Surgical Guidance Concept With Freehand Fluorescence Tomography
Wellington, C.
* 2005: Learning a Terrain Model for Autonomous Navigation in Rough Terrain
* 2021: 3D Point Cloud Processing and Learning for Autonomous Driving: Impacting Map Creation, Localization, and Perception
* 2022: Convolutions for Spatial Interaction Modeling
Includes: Wellington, C. Wellington, C.[Carl]
Wellington, C.K.[Carl K.]
* 2019: LaserNet: An Efficient Probabilistic 3D Object Detector for Autonomous Driving
Wellington, M.J.[Michael J.]
* 2021: High-Dimensional Satellite Image Compositing and Statistics for Enhanced Irrigated Crop Mapping
* 2022: Modelling Within-Season Variation in Light Use Efficiency Enhances Productivity Estimates for Cropland
Wellington, S.L.J.[Sylvia Lilly Jebarani]
* 2021: Digital image steganalysis: A survey on paradigm shift from machine learning to deep learning based techniques
* 2022: Universal steganalysis of spatial content-independent and content-adaptive steganographic algorithms using normalized feature derived from empirical mode decomposed components
Wellman, M.P.
* 1993: Explaining explaining away
* 1998: Generalized Queries on Probabilistic Context-Free Grammars
Wellmann, F.[Florian]
* 2021: Surface Velocity Response of a Tropical Glacier to Intra and Inter Annual Forcing, Cordillera Blanca, Peru, The
Wellmann, T.[Thilo]
* 2020: Linking the Remote Sensing of Geodiversity and Traits Relevant to Biodiversity: Part II: Geomorphology, Terrain and Surfaces
* 2022: Remote Sensing of Geomorphodiversity Linked to Biodiversity: Part III: Traits, Processes and Remote Sensing Characteristics
* 2024: Ecosystem Integrity Remote Sensing - Modelling and Service Tool - ESIS/Imalys
Wellmon, C.[Chad]
* 2017: Feature Learning for Footnote-Based Document Image Classification
* 2017: Footnote-Based Document Image Classification
Wells, A.
* 2006: Patient-Specific Bronchoscopy Visualization Through BRDF Estimation and Disocclusion Correction
* 2021: Lumbar Spine CT synthesis from MR images using CycleGAN - a preliminary study
Includes: Wells, A. Wells, A.[Adam]
Wells, A.F.[Aaron F.]
* 2018: Regional Patterns and Asynchronous Onset of Ice-Wedge Degradation since the Mid-20th Century in Arctic Alaska
* 2021: Characterizing Wetland Inundation and Vegetation Dynamics in the Arctic Coastal Plain Using Recent Satellite Data and Field Photos
Wells, A.K.A.[Allen K.A.]
* 1991: system and method for superimposing images, A
Wells, B.
* 2006: Evaluation Measure of Image Segmentation Based on Object Centres, An
Wells, C.E.[Christina E.]
* 2006: Detecting and Measuring Fine Roots in Minirhizotron Images Using Matched Filtering and Local Entropy Thresholding
* 2010: Rapid automated detection of roots in minirhizotron images
Wells, C.J.
* 1990: Fast dictionary look-up for contextual word recognition
Wells, D.[Darren]
* 2012: Tissue-level segmentation and tracking of cells in growing plant roots
Wells, D.M.
* 2017: Deep Learning for Multi-task Plant Phenotyping
Wells, G.[Gordon]
* 1996: Promising Research: Vision-Based Robot Positioning Using Neural Networks
Wells, G.J.
* 2001: Constructing Web-based legacy index card archives-architectural design issues and initial data acquisition
Wells, J.[Jonathan]
* 2007: 3D Body Scanning and Healthcare Applications
Wells, J.R.[Jonathan R.]
* 2014: LiNearN: A new approach to nearest neighbour density estimator
* 2019: new simple and efficient density estimator that enables fast systematic search, A
Wells, J.W.[Joshua W.]
* 2017: Error-Resilient Video Encoding Using Parallel Independent Signature Processing
Wells, K.[Kevin]
* 2017: Movement correction in DCE-MRI through windowed and reconstruction dynamic mode decomposition
Wells, K.C.[Kelley C.]
* 2022: Nitrous Oxide Profiling from Infrared Radiances (NOPIR): Algorithm Description, Application to 10 Years of IASI Observations and Quality Assessment
Wells, N.D.[Nicholas D.]
* 1989: Method of coding a video signal for transmission in a restricted bandwidth
Wells, P.N.T.
* 2000: Fusion of 2-D Images Using Their Multiscale Edges
Wells, R.[Reuben]
* 2017: Poppy Crop Height and Capsule Volume Estimation from a Single UAS Flight
Wells, R.B.
* 2003: printer model using signal processing techniques, A
Wells, R.G.
* 2000: LROC analysis of detector-response compensation in SPECT
* 2005: Comparison of Human and Model Observers in Multislice LROC Studies, A
* 2017: Validation of a Multimodality Flow Phantom and Its Application for Assessment of Dynamic SPECT and PET Technologies
Wells, R.O.
* 1998: New Class of Biorthogonal Wavelet Systems for Image Transform Coding, A
* 1999: New Hierarchical Scheme for Approximating the Continuous Wavelet Transform with Applications to Edge Detection, A
* 2000: Modelling the Autocorrelation of Wavelet Coefficients for Image Denoising
* 2004: Reversible data-embedding with a hierarchical structure
Includes: Wells, R.O. Wells, Jr., R.O.
Wells, R.S.
* 1984: Extremes in the Complexity of Computing Metric Distance Between Partitions
* 2017: Integral Curvature Representation and Matching Algorithms for Identification of Dolphins and Whales
Wells, R.V.[Robert V.]
* 2000: Method and apparatus for generating virtual views of sporting events
Wells, T.[Timothy]
* 2022: Image-Aided LiDAR Mapping Platform and Data Processing Strategy for Stockpile Volume Estimation
* 2022: Salt Stockpile Inventory Management Using LiDAR Volumetric Measurements
Wells, W.[William]
* 2009: SIFT-Rank: Ordinal description for invariant feature correspondence
Wells, W.A.
* 2015: Real-Time Electrical Impedance Variations in Women With and Without Breast Cancer
* 2021: Modeling and Synthesis of Breast Cancer Optical Property Signatures With Generative Models
Includes: Wells, W.A. Wells, W.A.[Wendy A.]
Wells, W.M.
* 1986: Efficient Synthesis of Gaussian Filters by Cascaded Uniform Filters
* 1987: Visual Estimation of 3-D Line Segments from Motion: A Mobile Robot Vision System
* 1989: Visual Estimation of 3-D Line Segments from Motion: A Mobile Robot Vision System
* 1991: MAP Model Matching
* 1992: Posterior Marginal Pose Estimation
* 1992: Statistical Object Recognition
* 1993: Statistical Object Recognition with the Expectation-Maximization Algorithm in Range-Derived Features
* 1994: Automated Registration for Visualization in Surgery
* 1994: Automatic Registration Method for Frameless Stereotaxy, Image Guided Surgery and Enhanced Reality Visualization, An
* 1994: Multiresolution Statistical Object Recognition
* 1995: Adaptive segmentation of MRI data
* 1995: Alignment by Maximization of Mutual Information
* 1995: Alignment by Maximization of Mutual Information
* 1995: Evaluating and Validating an Automated Registration System for Enhanced Reality Visualization in Surgery
* 1996: Adaptive segmentation of MRI data
* 1996: Alignment and Tracking Using Graphics Hardware
* 1996: Automatic Registration Method for Frameless Stereotaxy, Image Guided Surgery and Enhanced Reality Visualization, An
* 1996: Utilizing Segmented MRI Data in Image-Guided Surgery
* 1997: Alignment by Maximization of Mutual Information
* 1997: Markov Random-Field Segmentation of Brain MR-Images
* 1997: Multiple View 2D-3D Mutual Information Registration
* 1997: Statistical Approaches to Feature-Based Object Recognition
* 1998: Object Detection and Localization by Dynamic Template Warping
* 1998: Object Localization by Dynamic Template Warping
* 1999: Object Modeling Using Tomography and Photography
* 2000: Computer Vision Methods for Image Guided Surgery
* 2000: Object Detection and Localization by Dynamic Template Warping
* 2001: 2D-3D Rigid Registration of X-Ray Fluoroscopy and CT Images Using Mutual Information and Sparsely Sampled Histogram Estimators
* 2001: integrated visualization system for surgical planning and guidance using image fusion and an open MR, An
* 2001: Model-Based Curve Evolution Technique for Image Segmentation
* 2003: Multi-modal image registration by minimizing Kullback-Leibler distance between expected and observed joint class histograms
* 2003: shape-based approach to the segmentation of medical imagery using level sets, A
* 2004: Simultaneous Truth and Performance Level Estimation (STAPLE): An Algorithm for the Validation of Image Segmentation
* 2004: Unified Statistical and Information Theoretic Framework for Multi-modal Image Registration, A
* 2005: Efficient Population Registration of 3D Data
* 2005: Expectation Maximization Approach for Integrated Registration, Segmentation, and Intensity Correction, An
* 2005: Shape Based Segmentation of Anatomical Structures in Magnetic Resonance Images
* 2006: Multi-modal Image Registration Using Dirichlet-Encoded Prior Information
* 2007: Hierarchical Algorithm for MR Brain Image Parcellation, A
* 2008: Modeling of anatomical information in clustering of white matter fiber trajectories using Dirichlet distribution
* 2009: On the optimality of mutual information as an image registration objective function
* 2010: Bayesian Estimation of Deformation and Elastic Parameters in Non-rigid Registration
* 2010: mutual-information scale-space for image feature detection and feature-based classification of volumetric brain images, A
* 2012: Bayesian Characterization of Uncertainty in Multi-modal Image Registration
* 2012: MRI Confirmed Prostate Tissue Classification with Laplacian Eigenmaps of Ultrasound RF Spectra
* 2012: Robust non-rigid registration and characterization of uncertainty
* 2013: Uncertainty-Driven Efficiently-Sampled Sparse Graphical Models for Concurrent Tumor Segmentation and Atlas Registration
* 2014: Application of Tolerance Limits to the Characterization of Image Registration Performance
* 2014: Deformable Registration of Feature-Endowed Point Sets Based on Tensor Fields
* 2014: Probabilistic Diffeomorphic Registration: Representing Uncertainty
* 2015: Quantitative Susceptibility Mapping by Inversion of a Perturbation Field Model: Correlation With Brain Iron in Normal Aging
* 2016: Editorial on Special Issue on Probabilistic Models for Biomedical Image Analysis
* 2016: Inferring Disease Status by Non-parametric Probabilistic Embedding
* 2017: Active Mean Fields for Probabilistic Image Segmentation: Connections with Chan-Vese and Rudin-Osher-Fatemi Models
* 2018: Phantomless Auto-Calibration and Online Calibration Assessment for a Tracked Freehand 2-D Ultrasound Probe
* 2019: Automatic Needle Segmentation and Localization in MRI With 3-D Convolutional Neural Networks: Application to MRI-Targeted Prostate Biopsy
* 2020: Confidence Calibration and Predictive Uncertainty Estimation for Deep Medical Image Segmentation
* 2020: Keypoint Transfer for Fast Whole-Body Segmentation
* 2022: Deep Diffusion MRI Registration (DDMReg): A Deep Learning Method for Diffusion MRI Registration
* 2022: Efficient Pairwise Neuroimage Analysis Using the Soft Jaccard Index and 3D Keypoint Sets
Includes: Wells, W.M. Wells, III, W.M. Wells, III, W.M.[William M.] Wells, W.M.[William M.] Wells III, W.M.[William M.]
60 for Wells, W.M.
Wellstein, C.[Camilla]
* 2021: Surface Tradeoffs and Elevational Shifts at the Largest Italian Glacier: A Thirty-Years Time Series of Remotely-Sensed Images