Mose, J.[John]
* 2024: SIMBA: Split Inference: mechanisms, Benchmarks and Attacks
Mosebach, A.[Alina]
* 2022: Domain Adaptation for Unknown Image Distortions in Instance Segmentation
Mosegaard, J.[Jesper]
* 2017: Interactive directional subsurface scattering and transport of emergent light
Mosegui, A.[Alexa]
* 2021: Context-Aware Personality Inference in Dyadic Scenarios: Introducing the UDIVA Dataset
Includes: Mosegui, A.[Alexa] Moseguí, A.[Alexa]
Mosekilde, L.
* 1997: Reliability of an image analysis system for quantifying the radiographic trabecular pattern
Moseley, B.[Ben]
* 2021: Extreme Low-Light Environment-Driven Image Denoising over Permanently Shadowed Lunar Regions with a Physical Noise Model
Moseley, M.[Michael]
* 2022: Multi-task Deep Learning for Cerebrovascular Disease Classification and MRI-to-PET Translation
Moseley, M.E.
* 2010: Auto-Calibrated Parallel Imaging Reconstruction for Arbitrary Trajectories Using k-Space Sparse Matrices (kSPA)
Moseley, M.J.
* 2010: Maximum likelihood estimation of vessel parameters from scale space analysis
Moseley, R.R.[Richard R.]
* 1998: Autostereoscopic 3D display systems with observer tracking
Mosella Montoro, A.
* 2019: Residual Attention Graph Convolutional Network for Geometric 3D Scene Classification
* 2022: SkinningNet: Two-Stream Graph Convolutional Neural Network for Skinning Prediction of Synthetic Characters
Includes: Mosella Montoro, A. Mosella-Montoro, A. Mosella-Montoro, A.[Albert]
Mosella Montoro, F.V.C.A.[Francisco Vicente Carrasco Albert]
* 2024: Generalizable Human Gaussians for Sparse View Synthesis
Includes: Mosella Montoro, F.V.C.A.[Francisco Vicente Carrasco Albert] Mosella-Montoro, F.V.C.A.[Francisco Vicente Carrasco Albert]
Mosely, K.[Kene]
* 2024: Integrating SAR, Optical, and Machine Learning for Enhanced Coastal Mangrove Monitoring in Guyana
Mosenlechner, L.
* 2012: Cognition-Enabled Autonomous Robot Control for the Realization of Home Chore Task Intelligence
Moser, A.
* 2018: Clinical Valid Pain Database with Biomarker and Visual Information for Pain Level Analysis
Moser, B.
* 2008: Denoising techniques for raw 3D data of TOF cameras based on clustering and wavelets
* 2012: Discrepancy Norm as Fitness Function for Defect Detection on Regularly Textured Surfaces
* 2012: Image processing for three-dimensional scans generated by time-of-flight range cameras
* 2015: Trifocal system for high-quality inter-camera mapping and virtual view synthesis
* 2022: Less is More: Proxy Datasets in NAS approaches
Includes: Moser, B. Moser, B.[Bernhard] Moser, B.[Brian]
Moser, B.A.
* 2011: Similarity Measure for Image and Volumetric Data Based on Hermann Weyl's Discrepancy, A
Moser, B.B.[Brian B.]
* 2023: Hitchhiker's Guide to Super-Resolution: Introduction and Recent Advances
* 2025: Dynamic Attention-Guided Diffusion for Image Super-Resolution
* 2025: SpotDiffusion: A Fast Approach for Seamless Panorama Generation Over Time
* 2025: TKG-DM: Training-free Chroma Key Content Generation Diffusion Model
* 2025: When 512X512 is Not Enough: Local Degradation-Aware Multi-Diffusion for Extreme Image Super-Resolution
Includes: Moser, B.B.[Brian B.] Moser, B.B.[Brian Bernhard]
Moser, C.[Christophe]
* 2015: Digital confocal microscopy through a multimode fiber
* 2025: Solar Multimodal Transformer: Intraday Solar Irradiance Predictor Using Public Cameras and Time Series
Moser, E.[Ewald]
* 1999: Explorative signal processing in functional MR imaging
Moser, G.[Gabriele]
* 2004: Dictionary-Based Stochastic Expectation-Maximization for SAR Amplitude Probability Density Function Estimation
* 2004: SAR Amplitude Probability Density Function Estimation Based on a Generalized Gaussian Model
* 2005: Partially Supervised Classification of Remote Sensing Images Through SVM-Based Probability Density Estimation
* 2006: Dictionary-Based Stochastic Expectation-Maximization for SAR Amplitude Probability Density Function Estimation
* 2006: Generalized Minimum-Error Thresholding for Unsupervised Change Detection From SAR Amplitude Imagery
* 2006: SAR Amplitude Probability Density Function Estimation Based on a Generalized Gaussian Model
* 2006: Weight Parameter Optimization by the Ho-Kashyap Algorithm in MRF Models for Supervised Image Classification
* 2007: Extraction of Spectral Channels From Hyperspectral Images for Classification Purposes
* 2008: Conditional Copulas for Change Detection in Heterogeneous Remote Sensing Images
* 2009: Unsupervised Change Detection From Multichannel SAR Data by Markovian Data Fusion
* 2012: Assessment of hyperspectral MIVIS sensor capability for heterogeneous landscape classification
* 2012: Change detection with synthetic aperture radar images by Wilcoxon statistic likelihood ratio test
* 2012: Information Extraction From Remote Sensing Images for Flood Monitoring and Damage Evaluation
* 2013: Combining Support Vector Machines and Markov Random Fields in an Integrated Framework for Contextual Image Classification
* 2013: False discovery rate approach to image change detection
* 2013: Land-Cover Mapping by Markov Modeling of Spatial-Contextual Information in Very-High-Resolution Remote Sensing Images
* 2013: On the Method of Logarithmic Cumulants for Parametric Probability Density Function Estimation
* 2013: Textural-Contextual Model for Unsupervised Segmentation of Multipolarization Synthetic Aperture Radar Images, A
* 2014: New cascade model for hierarchical joint classification of multitemporal, multiresolution and multisensor remote sensing data
* 2014: Supervised Classification of Multisensor and Multiresolution Remote Sensing Images With a Hierarchical Copula-Based Approach
* 2015: Multimodal Classification of Remote Sensing Images: A Review and Future Directions
* 2016: Contextual multi-scale image classification on quadtree
* 2016: False Discovery Rate Approach to Unsupervised Image Change Detection
* 2016: Multiresolution Supervised Classification of Panchromatic and Multispectral Images by Markov Random Fields and Graph Cuts
* 2016: New Cascade Model for the Hierarchical Joint Classification of Multitemporal and Multiresolution Remote Sensing Data, A
* 2016: Polarimetric SAR Change Detection With the Complex Hotelling-Lawley Trace Statistic
* 2017: Clustering Approach to Heterogeneous Change Detection, A
* 2018: Decision Fusion With Multiple Spatial Supports by Conditional Random Fields
* 2018: Markovian Approach to Unsupervised Change Detection with Multiresolution and Multimodality SAR Data, A
* 2019: Causal Markov Mesh Hierarchical Modeling for the Contextual Classification of Multiresolution Satellite Images
* 2019: Unsupervised Image Regression for Heterogeneous Change Detection
* 2020: Crater Detection and Registration of Planetary Images Through Marked Point Processes, Multiscale Decomposition, and Region-Based Analysis
* 2021: Monitoring the Recovery after 2016 Hurricane Matthew in Haiti via Markovian Multitemporal Region-Based Modeling
* 2021: Multisensor and Multiresolution Remote Sensing Image Classification through a Causal Hierarchical Markov Framework and Decision Tree Ensembles
* 2022: Deep Image Translation With an Affinity-Based Change Prior for Unsupervised Multimodal Change Detection
* 2022: Fully Convolutional and Feedforward Networks for The Semantic Segmentation of Remotely Sensed Images
* 2022: Multimodal Fusion of Mobility Demand Data and Remote Sensing Imagery for Urban Land-Use and Land-Cover Mapping
* 2022: Registration of Multisensor Images through a Conditional Generative Adversarial Network and a Correlation-Type Similarity Measure
* 2023: goal-driven unsupervised image segmentation method combining graph-based processing and Markov random fields, A
* 2025: Deep Diffusion Models and Unsupervised Hyperspectral Unmixing for Realistic Abundance Map Synthesis
* 2026: Probabilistic Graphical Models Meet Deep Learning for Semantic Segmentation: Mathematical connections and recent developments
Includes: Moser, G.[Gabriele] Moser, G.
41 for Moser, G.
Moser, J.[Julia]
* 2010: Beyond Visualisation: 3D GIS Analyses for Virtual City Models
* 2013: Assessing Façade Visibility in 3D City Models for City Marketing
Moser, L.[Linda]
* 2016: Monitoring of the Lac Bam Wetland Extent Using Dual-Polarized X-Band SAR Data
Moser, M.[Michael]
* 2006: Scanning of Antonio Gaudi's original images of his draft for a church in Barcelona
* 2008: Enhanced Potential for the Analysis of Archaeological Finds Based on 3D Modeling
* 2010: Documentation Challenges In An International And Interdisciplinary Research Project
* 2011: GIS-Based Surface Analysis of Archaeological Finds
* 2015: Documentation of cultural heritage; techniques, potentials, and constraints
* 2015: Historic photos and TLS data fusion for the 3D reconstruction of a monastery altar ensemble
Includes: Moser, M.[Michael] Moser, M.
Moser, N.[Nicolas]
* 2022: Pedestrian Behavior Prediction for Automated Driving: Requirements, Metrics, and Relevant Features
Includes: Moser, N.[Nicolas] Möser, N.[Nicolas] (Maybe also Moeser, N.)
Moser, R.
* 1995: Recording, Processing, and Analysis of Digital High-Speed Sequences in Glottography
Moser, R.D.
* 2020: Patient-Specific Characterization of Breast Cancer Hemodynamics Using Image-Guided Computational Fluid Dynamics
Moser, S.
* 2009: Out-Of-Core topologically constrained simplification for city modeling from Digital Surface Models
Moser, U.
* 2020: In-Bore Receiver for Magnetic Resonance Imaging, An
Moser, V.
* 2020: Assessment of Algorithms to Estimate Respiratory Rate from the Remote Photoplethysmogram, An
Moses, C.[Cherith]
* 2024: Predictive Modelling of Land Cover Changes in the Greater Amanzule Peatlands Using Multi-Source Remote Sensing and Machine Learning Techniques
Moses, D.[Daniel]
* 2017: Using Convolutional Neural Networks and Transfer Learning for Bone Age Classification
* 2022: Vertebral Compression Fracture detection using Multiple Instance Learning and Majority Voting
Moses, D.A.
* 2014: Semi-Quantitative Analysis Model with Parabolic Modelling for DCE-MRI Sequences of Prostate, A
Moses, J.B.[Josephine Bedford]
* 2025: Measurement of urban vitality with time-lapsed street-view images and object-detection for scalable assessment of pedestrian-sidewalk dynamics
Moses, M.[Mefe]
* 2025: Effects of the October 2024 Storm over the Global Ionosphere
Moses, R.[Ren]
* 2025: Automated Detection of Pedestrian and Bicycle Lanes from High-Resolution Aerial Images by Integrating Image Processing and Artificial Intelligence (AI) Techniques
Moses, R.L.
* 1997: Attributed Scattering Centers for SAR ATR
* 1997: Feature Extraction using Attributed Scattering Center Models for Model-Based Automatic Target Recognition
* 1997: Parametric model for Synthetic Aperature Radar Measurements, A
* 1998: Feature Extraction using Attributed Scattering Center Models for Model-Based Automatic Target Recognition
* 1998: Parametric Attributed Scattering Center Model for SAR Automatic Target Recognition
* 1999: Performance estimation of model-based automatic target recognition using attributed scattering center features
* 2001: Model-based Bayesian feature matching with application to synthetic aperture radar target recognition
* 2005: Three-dimensional surface reconstruction from multistatic SAR images
* 2006: Motion measurement errors and autofocus in bistatic SAR
* 2009: Through-the-Wall SAR Attributed Scattering Center Feature Estimation
* 2010: Enhancement of Coupled Multichannel Images Using Sparsity Constraints
* 2011: Detecting Changes in Hyperspectral Imagery Using a Model-Based Approach
* 2012: Application of Model-Based Change Detection to Airborne VNIR/SWIR Hyperspectral Imagery
Includes: Moses, R.L. Moses, R.L.[Randloph L.] Moses, R.L.[Randy L.] Moses, R.L.[Randolph L.]
13 for Moses, R.L.
Moses, S.[Skip]
* 2023: Graph Learning From Signals With Smoothness Superimposed by Regressors
Moses, W.[Wesley]
* 2013: Future Retrievals of Water Column Bio-Optical Properties using the Hyperspectral Infrared Imager (HyspIRI)
Moses, W.J.[Wesley J.]
* 2019: Editorial for the Special Issue Remote Sensing of Water Quality
* 2022: Application of a PLS-Augmented ANN Model for Retrieving Chlorophyll-a from Hyperspectral Data in Case 2 Waters of the Western Basin of Lake Erie
Moses, Y.[Yael]
* 1991: Limitations of Non Model-Based Recognition Schemes
* 1992: Limitations of Non Model-Based Recognition Schemes
* 1993: Generalization across Changes in Illumination and Viewing Position in Upright and Inverted Faces
* 1994: Face Recognition: The Problem of Compensating for Changes in Illumination Direction
* 1995: Robust Real Time Tracking and Classification of Facial Expressions
* 1997: Face Recognition: The Problem of Compensating for Changes in Illumination Direction
* 1998: Generalization to Novel Views: Universal, Class-Based, and Model-Based Processing
* 1998: When is it Possible to Identify 3D Objects From Single Images Using Class Constraints?
* 1999: Shape Reconstruction of 3D Bilaterally Symmetric Surfaces
* 1999: When is it Possible to Identify 3D Objects From Single Images Using Class Constraints?
* 2000: Shape Reconstruction of 3D Bilaterally Symmetric Surfaces
* 2004: Probabilistic Multi-view Correspondence in a Distributed Setting with No Central Server
* 2004: Probabilistic Multi-view Correspondence in a Distributed Setting with No Central Server
* 2006: 3D Shape Recovery of Smooth Surfaces: Dropping the Fixed-Viewpoint Assumption
* 2006: Transitivity-based Removal of Correspondence Outliers for Motion Analysis
* 2007: Centralized and Distributed Multi-view Correspondence
* 2007: Centralized and Distributed Multi-view Correspondence
* 2008: Homography based multiple camera detection and tracking of people in a dense crowd
* 2009: 3D Shape Recovery of Smooth Surfaces: Dropping the Fixed-Viewpoint Assumption
* 2009: Piecewise-consistent color mappings of images acquired under various conditions
* 2010: Multi-view Scene Flow Estimation: A View Centered Variational Approach
* 2010: Tracking in a Dense Crowd Using Multiple Cameras
* 2010: Video Synchronization Using Temporal Signals from Epipolar Lines
* 2011: Geometrically consistent stereo seam carving
* 2012: Photo Sequencing
* 2013: Multi-view Scene Flow Estimation: A View Centered Variational Approach
* 2013: Space-Time Tradeoffs in Photo Sequencing
* 2013: Stereo Seam Carving a Geometrically Consistent Approach
* 2014: Photo Sequencing
* 2014: Viewpoint-independent book spine segmentation
* 2015: Multi-strand Graph for a PTZ Tracker, The
* 2016: Temporal Epipolar Regions
* 2016: Using Spatial Order to Boost the Elimination of Incorrect Feature Matches
* 2017: Detecting moving regions in CrowdCam images
* 2018: Efficient Sliding Window Computation for NN-Based Template Matching
* 2018: Multi-strand Graph for a PTZ Tracker, The
* 2019: Estimating the Number of Correct Matches Using Only Spatial Order
Includes: Moses, Y.[Yael] Moses, Y. Moses, Y.[Yoram]
37 for Moses, Y.