Molijn, R.[Ramses]
* 2019: Crop Monitoring Using Sentinel-1 Data: A Case Study from The Netherlands
Molijn, R.A.[Ramses A.]
* 2018: Vegetation Characterization through the Use of Precipitation-Affected SAR Signals
* 2018: Vegetation Characterization through the Use of Precipitation-Affected SAR Signals
* 2019: Sugarcane Productivity Mapping through C-Band and L-Band SAR and Optical Satellite Imagery
* 2021: On the Value of Sentinel-1 InSAR Coherence Time-Series for Vegetation Classification
Molin, A.[Adam]
* 2021: Multi-Vehicle Control Framework With Application to Automated Valet Parking, A
Molin, J.P.[Jose P.]
* 2017: Method to Obtain Orange Crop Geometry Information Using a Mobile Terrestrial Laser Scanner and 3D Modeling, A
* 2020: Effect of X-Ray Tube Configuration on Measurement of Key Soil Fertility Attributes with XRF
* 2021: Sugarcane Yield Mapping Using High-Resolution Imagery Data and Machine Learning Technique
Includes: Molin, J.P.[Jose P.] Molin, J.P.[José P.] Molin, J.P.[José Paulo]
Molin, R.D.[Ricardo Dal]
* 2022: Potential of Convolutional Neural Networks for Forest Mapping Using Sentinel-1 Interferometric Short Time Series
* 2026: Rainforest Monitoring Using Deep Learning and Short Time Series of Sentinel-1 IW Data
Molina Abril, H.[Helena]
* 2008: Advanced Homology Computation of Digital Volumes Via Cell Complexes
* 2008: Integral Operators for Computing Homology Generators at Any Dimension
* 2009: Cell AT-Models for Digital Volumes
* 2009: Decomposing Cavities in Digital Volumes into Products of Cycles
* 2009: Homological Computation Using Spanning Trees
* 2009: Homological Tree-Based Strategies for Image Analysis
* 2011: Homological-Based Description of Subdivided n-D Objects, A
* 2012: Homological optimality in Discrete Morse Theory through chain homotopies
* 2012: Triangle Mesh Compression and Homological Spanning Forests
* 2015: Connectivity calculus of fractal polyhedrons
* 2016: Special issue on GeToHa
* 2019: Computing the Component-Labeling and the Adjacency Tree of a Binary Digital Image in Near Logarithmic-Time
* 2019: Generating Second Order (Co)homological Information within AT-Model Context
* 2019: Homological Region Adjacency Tree for a 3D Binary Digital Image via HSF Model
* 2019: Topological Homogeneity for Electron Microscopy Images
* 2020: Generating (co)homological information using boundary scale
* 2020: Parallel connected-Component-Labeling based on homotopy trees
* 2021: Building Hierarchical Tree Representations Using Homological-Based Tools
* 2022: On the Topological Disparity Characterization of Square-Pixel Binary Image Data by a Labeled Bipartite Graph
Includes: Molina Abril, H.[Helena] Molina-Abril, H.[Helena]
19 for Molina Abril, H.
Molina Bakhos, F.A.[Francisco A.]
* 2025: NTIRE 2025 Ambient Lighting Normalization Challenge Report
* 2025: PromptNorm: Image Geometry Guides Ambient Light Normalization
Includes: Molina Bakhos, F.A.[Francisco A.] Molina-Bakhos, F.A.[Francisco A.]
Molina Cabello, M.A.[Miguel A.]
* 2019: Foreground detection by probabilistic modeling of the features discovered by stacked denoising autoencoders in noisy video sequences
* 2020: Deep Autoencoder Architectures For Foreground Object Detection In Video Sequences Based On Probabilistic Mixture Models
* 2020: Effect of Noise and Brightness on Convolutional Deep Neural Networks, The
* 2020: Impact of Linear Motion Blur on the Object Recognition Efficiency of Deep Convolutional Neural Networks, The
* 2020: Performance of Deep Learning and Traditional Techniques in Single Image Super-resolution of Noisy Images
* 2021: Adaptive estimation of optimal color transformations for deep convolutional network based homography estimation
* 2021: Dealing with Scarce Labelled Data: Semi-supervised Deep Learning with Mix Match for Covid-19 Detection Using Chest X-ray Images
* 2021: effect of image enhancement algorithms on convolutional neural networks, The
Includes: Molina Cabello, M.A.[Miguel A.] Molina-Cabello, M.A.[Miguel A.] Molina-Cabello, M.A.
8 for Molina Cabello, M.A.
Molina Cantero, A.J.[Alberto Jesus]
* 2022: LIDAR Signature Based Node Detection and Classification in Graph Topological Maps for Indoor Navigation
Includes: Molina Cantero, A.J.[Alberto Jesus] Molina-Cantero, A.J.[Alberto Jesús]
Molina Carmona, R.
* 2006: Three-Dimensional Mapping from Stereo Images with Geometrical Rectification
Molina Carpio, J.[Jorge]
* 2024: Soil Salinity Mapping of Plowed Agriculture Lands Combining Radar Sentinel-1 and Optical Sentinel-2 with Topographic Data in Machine Learning Models
* 2026: Machine-Learning Crop-Type Mapping Sensitivity to Feature Selection and Hyperparameter Tuning
Includes: Molina Carpio, J.[Jorge] Molina-Carpio, J.[Jorge]
Molina Gamez, M.
* 1996: Sparse Groups: A Polynomial Middle-Level Approach for Object Recognition
Includes: Molina Gamez, M. Molina-Gamez, M.
Molina Garcia Pardo, J.M.[Jose Maria]
* 2021: Millimeter Wave MISO-OFDM Transmissions in an Intra-Wagon Environment
* 2022: Wireless Channel Analysis Between 25 and 40 GHz in an Intra-Wagon Environment for 5G Using a Ray-Tracing Tool
Includes: Molina Garcia Pardo, J.M.[Jose Maria] Molina-García-Pardo, J.M.[José-María]
Molina Garcia, J.[Javier]
* 2020: effective fragile watermarking scheme for color image tampering detection and self-recovery, An
Includes: Molina Garcia, J.[Javier] Molina-Garcia, J.[Javier]
Molina Giraldo, S.[Santiago]
* 2013: Video Segmentation Framework by Dynamic Background Modelling
* 2014: Correntropy-Based Adaptive Learning to Support Video Surveillance Systems
* 2016: Background modeling using Object-based Selective Updating and Correntropy adaptation
Includes: Molina Giraldo, S.[Santiago] Molina-Giraldo, S.[Santiago] Molina-Giraldo, S.
Molina Lopez, J.M.[Jose M.]
* 2011: MIJ2K: Enhanced video transmission based on conditional replenishment of JPEG2000 tiles with motion compensation
Molina Martinez, J.M.[Jose Miguel]
* 2019: Comparison of Different Classifiers and the Majority Voting Rule for the Detection of Plum Fruits in Garden Conditions
* 2022: Comparison of Classic Classifiers, Metaheuristic Algorithms and Convolutional Neural Networks in Hyperspectral Classification of Nitrogen Treatment in Tomato Leaves
Includes: Molina Martinez, J.M.[Jose Miguel] Molina-Martínez, J.M.[José Miguel]
Molina Masferrer, M.G.[Mario Giovanni]
* 2026: Comparison of Open Access Global DEMs for Geomorphological Applications in Coastal Areas Using LiDAR Data
Includes: Molina Masferrer, M.G.[Mario Giovanni] Molina-Masferrer, M.G.[Mario Giovanni]
Molina Molina, J.C.[J. Carlos]
* 2020: Autonomous Underwater Monitoring System for Detecting Life on the Seabed by Means of Computer Vision Cloud Services
Includes: Molina Molina, J.C.[J. Carlos] Molina-Molina, J.C.[J. Carlos]
Molina Moreno, M.
* 2019: Efficient Scale-Adaptive License Plate Detection System
Includes: Molina Moreno, M. Molina-Moreno, M.
Molina Perez, G.[Gabriel]
* 2025: Detecting Flooded Areas Using Sentinel-1 SAR Imagery
Includes: Molina Perez, G.[Gabriel] Molina-Pérez, G.[Gabriel]
Molina Tanco, L.
* 2006: Pyramid segmentation algorithms revisited
* 2007: Construction of Bounded Irregular Pyramids with a Union-Find Decimation Process, The
* 2007: Real-time object tracking using bounded irregular pyramids
* 2009: Fast gesture recognition based on a two-level representation
Includes: Molina Tanco, L. Molina-Tanco, L.
Molina Valero, J.A.[Juan Alberto]
* 2021: Estimating Stand and Fire-Related Surface and Canopy Fuel Variables in Pine Stands Using Low-Density Airborne and Single-Scan Terrestrial Laser Scanning Data
* 2025: Obtaining the Highest Quality from a Low-Cost Mobile Scanner: A Comparison of Several Pipelines with a New Scanning Device
Includes: Molina Valero, J.A.[Juan Alberto] Molina-Valero, J.A.[Juan Alberto]
Molina Villegas, A.[Alejandro]
* 2020: Adaptive Geoparsing Method for Toponym Recognition and Resolution in Unstructured Text
Includes: Molina Villegas, A.[Alejandro] Molina-Villegas, A.[Alejandro]
Molina, A.
* 1995: Bayesian Image Restoration in Astronomy: Application to Images of the Recent Collision of Comet Shoemaker-Levy-9 with Jupiter
Molina, A.L.[Antonio Lopez]
* 2016: Interpolation of GPS and Geological Data Using InSAR Deformation Maps: Method and Application to Land Subsidence in the Alto Guadalentín Aquifer (SE Spain)
Includes: Molina, A.L.[Antonio Lopez] Molina, A.L.[Antonio López]
Molina, C.
* 2007: 3D Videoconferencing System with 2D Backwards Compatibility, A
* 2018: A2CPS: A Vehicle-Centric Safety Conceptual Framework for Autonomous Transport Systems
* 2020: First Evidences of Ionospheric Plasma Depletions Observations Using GNSS-R Data from CYGNSS
* 2022: Preliminary Study on Ionospheric Scintillation Anomalies Detected Using GNSS-R Data from NASA CYGNSS Mission as Possible Earthquake Precursors, A
* 2023: First Results on the Systematic Search of Land Surface Temperature Anomalies as Earthquakes Precursors
* 2026: Ionospheric Scintillation Anomalies from COSMIC-2 GNSS-RO from 2019 and 2024 as Potential Earthquake Precursors
Includes: Molina, C. Molina, C.[Carlos]
Molina, C.B.S.T.
* 2020: Systematic Literature Review About the Impact of Artificial Intelligence on Autonomous Vehicle Safety, A
Molina, D.E.[D. Espinoza]
* 2009: Cramer-Rao Bound-Based Evaluation of Texture Extraction from SAR Images
* 2012: Evaluation of Bayesian Despeckling and Texture Extraction Methods Based on Gauss-Markov and Auto-Binomial Gibbs Random Fields: Application to TerraSAR-X Data
Molina, E.[Edgardo]
* 2007: LDV Sensing and Processing for Remote Hearing in a Multimodal Surveillance System
* 2014: Persistent Aerial Video Registration and Fast Multi-View Mosaicing
Includes: Molina, E.[Edgardo] Molina, E.
Molina, F.
* 2003: 3-D object shape recovering system for active scenes using colour disordered patterns, A
* 2004: Disordered patterns projection for 3D motion recovering
* 2005: 3D Feature Tracking Using a Dynamic Structured Light System
Includes: Molina, F. Molina, F.[Fernando]
Molina, G.G.[G. Garcia]
* 2008: Binary Biometrics: An Analytic Framework to Estimate the Bit Error Probability under Gaussian Assumption
* 2010: Binary Biometrics: An Analytic Framework to Estimate the Performance Curves Under Gaussian Assumption
Molina, I.
* 2001: Foveal Image Segmentation using Hierarchical Irregular Tessellations
* 2012: Improving Wishart Classification of Polarimetric SAR Data Using the Hopfield Neural Network Optimization Approach
* 2020: GNSS-Reflectometry and Remote Sensing of Soil Moisture: A Review of Measurement Techniques, Methods, and Applications
* 2020: Soil Moisture Content from GNSS Reflectometry Using Dielectric Permittivity from Fresnel Reflection Coefficients
* 2021: Effect of Atmospheric Corrections on NDVI: Intercomparability of Landsat 8, Sentinel-2, and UAV Sensors
* 2021: Remote Sensing Approach for Surface Urban Heat Island Modeling in a Tropical Colombian City Using Regression Analysis and Machine Learning Algorithms, A
* 2021: Sentinel-2 and WorldView-3 atmospheric correction and signal normalization based on ground-truth spectroradiometric measurements
* 2022: Calibration and Validation of CYGNSS Reflectivity through Wetlands' and Deserts' Dielectric Permittivity
* 2022: Object-Oriented Change Detection Method Based on Spectral-Spatial-Saliency Change Information and Fuzzy Integral Decision Fusion for HR Remote Sensing Images
Includes: Molina, I. Molina, Í. Molina, I.[Iñigo] Molina, I.[Inigo]
9 for Molina, I.
Molina, J.[Jeyson]
* 2013: Image Preprocessing Assessment Detecting Low Contrast Regions under Non-homogeneous Light Conditions
* 2013: Real-time user independent hand gesture recognition from time-of-flight camera video using static and dynamic models
* 2014: natural and synthetic corpus for benchmarking of hand gesture recognition systems, A
* 2014: synthetic training framework for providing gesture scalability to 2.5D pose-based hand gesture recognition systems, A
* 2016: Absolute and relative height-pixel accuracy of SRTM-GL1 over the South American Andean Plateau
* 2017: Role of Climate Variability and Human Activity on Poopó Lake Droughts between 1990 and 2015 Assessed Using Remote Sensing Data
* 2020: Time-Series of Vegetation Indices (VNIR/SWIR) Derived from Sentinel-2 (A/B) to Assess Turgor Pressure in Kiwifruit
Includes: Molina, J.[Jeyson] Molina, J.[Javier] Molina, J.[Jorge] Molina, J.[Julio]
7 for Molina, J.
Molina, J.F.[Juan F.]
* 2015: Classification of Low-Level Atmospheric Structures Based on a Pyramid Representation and a Machine Learning Method
Molina, J.L.[Jose Luis]
* 2018: Flood Hazard Assessment Supported by Reduced Cost Aerial Precision Photogrammetry
* 2018: HidroMap: A New Tool for Irrigation Monitoring and Management Using Free Satellite Imagery
* 2019: Assessment of Green Infrastructure in Riparian Zones Using Copernicus Programme
Includes: Molina, J.L.[Jose Luis] Molina, J.L.[José-Luis]
Molina, J.M.
* 2004: Aircraft identification integrated into an airport surface surveillance video system
* 2005: Multitarget Tracking Video System Based on Fuzzy and Neuro-Fuzzy Techniques, A
* 2006: Extending surveillance systems capabilities using BDI cooperative sensor agents
* 2007: Bottom-up/top-down coordination in a multiagent visual sensor network
* 2007: Comparison Between Genetic Algorithms and the Baum-Welch Algorithm in Learning HMMs for Human Activity Classification
* 2007: Set of Methods for Spontaneous ICH Segmentation and Tracking from CT Head Images
* 2007: Video tracking system optimization using evolution strategies
* 2008: Advanced algorithms for real-time video tracking with multiple targets
* 2008: multi-agent architecture to support active fusion in a visual sensor network, A
* 2009: Context-Based Reasoning Using Ontologies to Adapt Visual Tracking in Surveillance
* 2009: Creating Human Activity Recognition Systems Using Pareto-based Multiobjective Optimization
* 2009: Visual data association for real-time video tracking using genetic and estimation of distribution algorithms
Includes: Molina, J.M. Molina, J.M.[José M.] Molina, J.M.[Jose M.] Molina, J.M.[José Manuel]
12 for Molina, J.M.
Molina, J.P.[Jose P.]
* 2010: Usability evaluation of virtual reality interaction techniques for positioning and manoeuvring in reduced, manipulation-oriented environments
* 2013: empirical evaluation of different haptic feedback for shape and texture recognition, An
* 2013: empirical evaluation of different haptic feedback for shape and texture recognition, An
* 2016: Involving multiple fingers in exploring a haptic surface: an evaluation study
Includes: Molina, J.P.[Jose P.] Molina, J.P.[José P.] Molina, J.P.[Jose Pascual]
Molina, L.C.[Luis C.]
* 2000: Behavior Analysis of Fractal Features for Texture Description in Digital Images: an Experimental Study
Molina, M.[Martin]
* 1998: Knowledge-based Spatiotemporal Linear Abstraction
* 2022: Trading-off Information Modalities in Zero-shot Classification
* 2023: Overcoming Domain Shift in Neural Networks for Accurate Plant Counting in Aerial Images
* 2023: Zero-shot Classification at Different Levels of Granularity
Includes: Molina, M.[Martin] Molina, M.[Matías]
Molina, P.
* 2012: Searching Lost People with UAVs: The System and Results of the Close-Search Project
* 2013: Navigation and Remote Sensing Payloads and Methods of the Sarvant Unmanned Aerial System
* 2014: Perigeo Project: Inertial and Imaging Sensors Processing, Integration and Validation on UAV Platforms for Space Navigation, The
* 2014: Unmanned aerial systems for photogrammetry and remote sensing: A review
* 2015: Method for Simultaneous Aerial and Terrestrial Geodata Acquisition for Corridor Mapping, A
* 2016: mapkite: A New Paradigm For Simultaneous Aerial And Terrestrial Geodata Acquisition And Mapping
* 2016: Precision Analysis of Point-and-Scale Photogrammetric Measurements for Corridor Mapping: Preliminary Results
* 2017: First Results of a Tandem Terrestrial-Unmanned Aerial mapKITE System with Kinematic Ground Control Points for Corridor Mapping
* 2019: Corridor Mapping of Sandy Coastal Foredunes with UAS Photogrammetry and Mobile Laser Scanning
Includes: Molina, P. Molina, P.[Pere]
9 for Molina, P.
Molina, P.X.[Patricio Xavier]
* 2016: Spatially-Explicit Testing of a General Aboveground Carbon Density Estimation Model in a Western Amazonian Forest Using Airborne LiDAR
Molina, R.
* 1992: On the Bayesian deconvolution of planets
* 1994: Automatic Characterization of Spiral and Elliptic Galaxies from Digital Images
* 1994: On the Hierarchical Bayesian Approach to Image Restoration: Applications to Astronomical Images
* 1995: Bayesian Image Restoration in Astronomy: Application to Images of the Recent Collision of Comet Shoemaker-Levy-9 with Jupiter
* 1995: Method for Invariant Pattern-Recognition Using the Scale-Vector Representation of Planar Curves, A
* 1995: New Approach to 2D Shapes Characterization, A
* 1996: Restoration of Severely Blurred High Range Images Using Compound Models
* 1998: Reduction of blocking artifacts in block transformed compressed color images
* 1998: Two Bayesian image restoration algorithms from partially-known blurs
* 1999: Bayesian and Regularization Methods for Hyperparameter Estimation in Image Restoration
* 1999: Hyperparameter Estimation for Emission Computed Tomography Data
* 2000: Bayesian Approach for the Estimation and Transmission of Regularization Parameters for Reducing Blocking Artifacts, A
* 2000: Hierarchical Bayesian Image Restoration from Partially Known Blurs
* 2000: Restoration of severely blurred high range images using stochastic and deterministic relaxation algorithms in compound Gauss-Markov random fields
* 2001: Bayesian High-resolution Reconstruction of Low-resolution Compressed Video
* 2002: general multichannel image restoration method using compound models, A
* 2003: Bayesian multichannel image restoration using compound Gauss-Markov random fields
* 2003: Bayesian Parameter Estimation in Image Reconstruction from Subsampled Blurred Observations
* 2003: Parameter Estimation in Bayesian High-Resolution Image Reconstruction with Multisensors
* 2004: Bayesian Resolution Enhancement of Compressed Video
* 2004: High-resolution images from compressed low-resolution video: Motion estimation and observable pixels
* 2004: Motion estimation in high resolution image reconstruction from compressed video sequences
* 2004: Parameter estimation in Bayesian reconstruction of SPECT images: An aid in nuclear medicine diagnosis
* 2005: Bayesian Reconstruction for Transmission Tomography with Scale Hyperparameter Estimation
* 2005: Bayesian Reconstruction of Color Images Acquired with a Single CCD
* 2006: Blind Deconvolution Using a Variational Approach to Parameter, Image, and Blur Estimation
* 2006: Parameter Estimation in Bayesian Reconstruction of Multispectral Images using Super Resolution Techniques
* 2006: Transmission Tomography Reconstruction Using Compound Gauss-Markov Random Fields and Ordered Subsets
* 2007: 3D Reconstruction and Mapping from Stereo Pairs with Geometrical Rectification
* 2007: From Global to Local Bayesian Parameter Estimation in Image Restoration using Variational Distribution Approximations
* 2007: Nonstationary Blind Image Restoration using Variational Methods
* 2007: Rectified Reconstruction from Stereo Pairs and Robot Mapping
* 2007: Super Resolution of Images and Video
* 2007: Total Variation Image Restoration and Parameter Estimation using Variational Posterior Distribution Approximation
* 2008: Blind restoration of blurred photographs via AR modelling and MCMC
* 2008: Parameter Estimation in TV Image Restoration Using Variational Distribution Approximation
* 2008: Total variation super resolution using a variational approach
* 2009: Bayesian Blind Deconvolution From Differently Exposed Image Pairs
* 2009: Compressive sensing of light fields
* 2009: Image restoration by mixture modelling of an overcomplete linear representation
* 2009: Local Bayesian image restoration using variational methods and Gamma-Normal distributions
* 2009: Parameter Estimation in Bayesian Super-Resolution Image Reconstruction from Low Resolution Rotated and Translated Images
* 2009: Variational Bayesian Blind Deconvolution Using a Total Variation Prior
* 2010: Bayesian Blind Deconvolution From Differently Exposed Image Pairs
* 2010: Bayesian Compressive Sensing Using Laplace Priors
* 2010: Sparse Bayesian image restoration
* 2010: Using the Kullback-Leibler divergence to combine image priors in Super-Resolution image reconstruction
* 2010: Variational Bayesian Image Restoration With a Product of Spatially Weighted Total Variation Image Priors
* 2011: Bayesian TV denoising of SAR images
* 2011: novel iterative image restoration algorithm using nonstationary image priors, A
* 2011: Variational Bayesian Super Resolution
* 2012: Bayesian Blind Deconvolution with General Sparse Image Priors
* 2012: Compressive Light Field Sensing
* 2012: Compressive sampling with unknown blurring function: Application to passive millimeter-wave imaging
* 2012: Sparse Bayesian blind image deconvolution with parameter estimation
* 2013: Compressive Blind Image Deconvolution
* 2014: Automated Recovery of Compressedly Observed Sparse Signals From Smooth Background
* 2014: Bayesian Active Remote Sensing Image Classification
* 2014: Fast iteratively reweighted least squares for Lp regularized image deconvolution and reconstruction
* 2014: Learning filters in Gaussian process classification problems
* 2014: Toward Dynamic Scene Understanding by Hierarchical Motion Pattern Mining
* 2014: Variational Bayesian Methods For Multimedia Problems
* 2015: Audiovisual Fusion: Challenges and New Approaches
* 2015: Image super-resolution from compressed sensing observations
* 2015: Variational Dirichlet Blur Kernel Estimation
* 2016: Bayesian logistic regression with sparse general representation prior for multispectral image classification
* 2016: Joint Data Filtering and Labeling Using Gaussian Processes and Alternating Direction Method of Multipliers
* 2016: Multiframe blind deconvolution of passive millimeter wave images using variational dirichlet blur kernel estimation
* 2017: Bayesian K-SVD Using Fast Variational Inference
* 2017: Greedy Bayesian double sparsity dictionary learning
* 2017: Passive millimeter wave image classification with large scale Gaussian processes
* 2017: Robust and Low-Rank Representation for Fast Face Identification With Occlusions
* 2017: Spike and slab variational inference for blind image deconvolution
* 2018: Blind Color Deconvolution of Histopathological Images Using a Variational Bayesian Approach
* 2018: Generative Adversarial Networks and Perceptual Losses for Video Super-Resolution
* 2018: Hard Exudate Detection Using Local Texture Analysis and Gaussian Processes
* 2018: Heterogeneous SoC-based acceleration of MPEG-7 compliance image retrieval process
* 2018: Remote Sensing Image Classification With Large-Scale Gaussian Processes
* 2018: Using Deep Neural Networks for Inverse Problems in Imaging: Beyond Analytical Methods
* 2018: Variational Gaussian process for multisensor classification problems
* 2019: Deep CNNs for Object Detection Using Passive Millimeter Sensors
* 2019: Efficient Fine-Tuning of Neural Networks for Artifact Removal in Deep Learning for Inverse Imaging Problems
* 2019: GAN-Based Video Super-Resolution With Direct Regularized Inversion of the Low-Resolution Formation Model
* 2019: Generative Adversarial Networks and Perceptual Losses for Video Super-Resolution
* 2019: Learning from crowds with variational Gaussian processes
* 2020: Deep Gaussian processes for biogeophysical parameter retrieval and model inversion
* 2020: Parameter-Free Gaussian PSF Model for Extended Depth of Field in Brightfield Microscopy
* 2020: Super Gaussian Priors for Blind Color Deconvolution of Histological Images
* 2020: Variational Bayesian Blind Color Deconvolution of Histopathological Images
* 2021: Contribution to Deep Learning Approaches for Automatic Classification of Volcano-Seismic Events: Deep Gaussian Processes, A
* 2022: Scalable Variational Gaussian Processes for Crowdsourcing: Glitch Detection in LIGO
* 2023: Deep Bayesian Blind Color Deconvolution of Histological Images
* 2023: Deep Robust Image Restoration Using the Moore-Penrose Blur Inverse
* 2023: Probabilistic Modeling of Inter- and Intra-observer Variability in Medical Image Segmentation
* 2024: Bayesian Blind Image Deconvolution using an Hyperbolic-Secant prior
* 2024: Introducing instance label correlation in multiple instance learning. Application to cancer detection on histopathological images
* 2024: Real-Time Lightweight Video Super-Resolution With RRED-Based Perceptual Constraint
* 2025: Improved Inland Water Level Estimates with Sentinel-6 Fully Focused SAR Processing: A Case Study in the Ebre River Basin
* 2025: LCNet: Lightweight Cycle Network Driven by Physical and Deep Prior for Compressed Sensing
* 2026: Probabilistic smooth attention for deep multiple instance learning in medical imaging
Includes: Molina, R. Molina, R.[Rafael] Molina, R.[Romina] Molina, R.[Robert]
100 for Molina, R.
Molinara, M.[Mario]
* 2003: Automatic classification of clustered microcalcifications by a multiple expert system
* 2004: Detection of microcalcifications clusters in mammograms through TS-MRF segmentation and SVM-based classification
* 2005: Algorithms for Detecting Clusters of Microcalcifications in Mammograms
* 2005: Estimating the ROC Curve of Linearly Combined Dichotomizers
* 2005: SVM Based Regression Schemes for Instruments Fault Accommodation in Automotive Systems
* 2006: AUC-Based Linear Combination of Dichotomizers
* 2006: Exploiting AUC for optimal linear combinations of dichotomizers
* 2007: Facing Imbalanced Classes through Aggregation of Classifiers
* 2008: Dynamic Programming approach for segmenting digital planar curves into line segments and circular arcs, A
* 2009: Towards a Linear Combination of Dichotomizers by Margin Maximization
* 2011: Exploring Cascade Classifiers for Detecting Clusters of Microcalcifications
* 2012: ranking-based cascade approach for unbalanced data, A
* 2013: Boosting-Based Approach to Refine the Segmentation of Masses in Mammography, A
* 2017: Retinal Vessel Segmentation Through Denoising and Mathematical Morphology
* 2017: Spatial Enhancement by Dehazing for Detection of Microcalcifications with Convolutional Nets
* 2018: Improving the Automated Detection of Calcifications Using Adaptive Variance Stabilization
* 2019: Combining Convolutional Neural Networks for Multi-context Microcalcification Detection in Mammograms
* 2019: Handwriting Analysis to Support Alzheimer's Disease Diagnosis: A Preliminary Study
* 2019: Minimizing Training Data for Reliable Writer Identification in Medieval Manuscripts
* 2019: Page-Based Reject Option for Writer Identification in Medieval Books, A
* 2019: Two-Step System Based on Deep Transfer Learning for Writer Identification in Medieval Books, A
* 2019: Using Handwriting Features to Characterize Cognitive Impairment
* 2020: end-to-end deep learning system for medieval writer identification, An
* 2020: IoT-ready solution for automated recognition of water contaminants, An
* 2020: Pattern recognition and artificial intelligence techniques for cultural heritage
* 2020: What is the minimum training data size to reliably identify writers in medieval manuscripts?
* 2021: Artificial intelligence for distributed smart systems
* 2021: Deep Transfer Learning for Alzheimer's disease detection
* 2023: End-to-end Asbestos Roof Detection on Orthophotos Using Transformer-based Yolo Deep Neural Network
Includes: Molinara, M.[Mario] Molinara, M.
29 for Molinara, M.
Molinari, B.[Bianca]
* 2021: Assessing Spatial Variation in Algal Productivity in a Tropical River Floodplain Using Satellite Remote Sensing
Molinari, C.[Cristiano]
* 2017: Dealing with video source identification in social networks
Molinari, D.
* 2015: PROUD: Public Road Urban Driverless-Car Test
* 2019: Automatic Creation of Large Scale Object Databases from Web Resources: A Case Study in Robot Vision
Includes: Molinari, D. Molinari, D.[Dario]
Molinari, F.
* 2012: Completely Automated Multiresolution Edge Snapper: A New Technique for an Accurate Carotid Ultrasound IMT Measurement: Clinical Validation and Benchmarking on a Multi-Institutional Database
* 2022: Feature-versus deep learning-based approaches for the automated detection of brain tumor with magnetic resonance images: A comparative study
* 2024: cyto-Knet: An instance segmentation approach for multiple myeloma plasma cells using conditional kernels
* 2026: ShortNeXt: A novel method for accurate classification of colorectal cancer histopathology images
Includes: Molinari, F. Molinari, F.[Filippo]
Molinari, M.[Massimiliano]
* 2014: Vertical Measurements in Oblique Aerial Imagery
* 2019: Information Modeling and Landscape: Intervention Methodology For Reading Complex Systems
* 2019: Towards A Digital Archaeological Archive: the Case Study of The Artefacts of the Area of Fori Imperiali
* 2019: Traces of The Past: Informative Tools for The Reconstruction Of Aurelian Walls in Rione Testaccio, The
Includes: Molinari, M.[Massimiliano] Molinari, M.
Molinari, M.E.[Monia Elisa]
* 2015: First Comprehensive Accuracy Assessment of GlobeLand30 at a National Level: Methodology and Results, The
* 2016: Automated Grass-based Procedure To Assess The Geometrical Accuracy Of The Openstreetmap Paris Road Network, An
* 2016: Do Open Geodata Actually Have The Quality They Declare? The Case Study Of Milan, Italy
* 2016: Land User And Land Cover Maps Of Europe: A Webgis Platform
* 2016: Positional Accuracy Assessment Of The Openstreetmap Buildings Layer Through Automatic Homologous Pairs Detection: The Method And A Case Study
* 2018: Coherent Change Detection for Multipass SAR
* 2018: Coherent Change Detection For Repeated-pass Interferometric SAR Images: An Application To Earthquake Damage Assessment on Buildings
* 2018: Measuring Urban Land Cover Influence on Air Temperature through Multiple Geo-Data: The Case of Milan, Italy
* 2020: High-resolution SAR Coherent Change Detection In Urban Environment
* 2020: Novel Index for Temporal Stability Analysis In Space and Time Of SAR-derived Scenes, A
* 2021: Multitemporal InSAR Coherence Analysis and Methods for Sand Mitigation
* 2021: Novel Procedure for Generation of SAR-derived ZTD Maps for Weather Prediction: Application to South Africa Use Case, A
Includes: Molinari, M.E.[Monia Elisa] Molinari, M.E.
12 for Molinari, M.E.
Molinari, P.[Paolo]
* 2018: Multi-Temporal Image Analysis for Fluvial Morphological Characterization with Application to Albanian Rivers
Molinari, R.
* 2016: Theoretical Limitations of Allan Variance-based Regression for Time Series Model Estimation
* 2017: Study of the Allan Variance for Constant-Mean Nonstationary Processes, A
Molinaro, C.[Cristian]
* 2025: Defending a city from multi-drone attacks: A sequential Stackelberg security games approach
Molinaro, M.
* 2023: CAESAR Project for the ASI Space Weather Infrastructure, The
* 2023: Time-constrained learning
Includes: Molinaro, M. Molinaro, M.[Marco]
Molinaro, N.[Nunzia]
* 2023: Respiratory Feature Extraction for Contactless Breathing Pattern Recognition Using a Single Digital Camera
Molinaroli, E.[Emanuela]
* 2020: Spatial and Temporal Changes of Tidal Inlet Using Object-Based Image Analysis of Multibeam Echosounder Measurements: A Case from the Lagoon of Venice, Italy
Molinelli, D.
* 1996: Motion and Color Based Video Indexing and Retrieval
Molinelli, L.
* 2002: Evaluation of reproducibility for manual and semi-automated feature extraction in CT and MR images
Moliner, E.[Eloi]
* 2024: Noise Morphing for Audio Time Stretching
Moliner, O.[Olivier]
* 2021: Better Prior Knowledge Improves Human-Pose-Based Extrinsic Camera Calibration
* 2022: Bootstrapped Representation Learning for Skeleton-Based Action Recognition
* 2024: Geometry-Biased Transformer for Robust Multi-View 3D Human Pose Reconstruction
Molineros, J.[Jose]
* 1997: Computer Vision-Based Augmented Reality for Guiding Manual Assembly
* 2001: Real-Time Tracking of Multiple Objects Using Fiducials for Augmented Reality
* 2012: Monocular Rear-View Obstacle Detection Using Residual Flow
Molines, X.
* 2001: Active Contours Network to Straighten Distorted Text Lines
Molinet, F.
* 2006: Investigations on the Polarimetric Behavior of a Target Near the Soil
Molini, A.
* 2017: Global climatic drivers of vegetation based on wavelet analysis
Molini, V.[Vasco]
* 2019: Mapping Framework to Characterize Land Use in the Sudan-Sahel Region from Dense Stacks of Landsat Data, A
Molinie, G.[Gilles]
* 2012: Raindrops size from video and image processing
Molinier, M.[Matthieu]
* 2005: 3D-Connected Components Analysis for Traffic Monitoring in Image Sequences Acquired from a Helicopter
* 2007: Detecting Man-Made Structures and Changes in Satellite Imagery With a Content-Based Information Retrieval System Built on Self-Organizing Maps
* 2010: Polarimetric SAR Data in Land Cover Mapping in Boreal Zone
* 2016: Relasphone: Mobile and Participative In Situ Forest Biomass Measurements Supporting Satellite Image Mapping
* 2017: Automatic Cloud and Shadow Detection in Optical Satellite Imagery Without Using Thermal Bands: Application to Suomi NPP VIIRS Images over Fennoscandia
* 2018: Binary patterns encoded convolutional neural networks for texture recognition and remote sensing scene classification
* 2019: new fully convolutional neural network for semantic segmentation of polarimetric SAR imagery in complex land cover ecosystem, A
* 2020: Thin cloud removal in optical remote sensing images based on generative adversarial networks and physical model of cloud distortion
* 2021: Deep Learning Based Thin Cloud Removal Fusing Vegetation Red Edge and Short Wave Infrared Spectral Information for Sentinel-2A Imagery
* 2021: Deep Neural Networks with Transfer Learning for Forest Variable Estimation Using Sentinel-2 Imagery in Boreal Forest
Includes: Molinier, M.[Matthieu] Molinier, M.
10 for Molinier, M.
Molinier, T.
* 2010: Measurement of laboratory fire spread experiments by stereovision
* 2010: Stereovision based algorithm for measuring fire spreading characteristics
* 2012: Estimating the surface and volume of laboratory-scale wildfire fuel using computer vision
* 2012: Image processing and vision for the study and the modeling of spreading fires
Molino, A.
* 2003: Implementation of a SPIHT coprocessor memory issues and hardware implications
* 2005: Optimized Cordic Core for Frequency-Domain Motion Estimation
* 2006: Scalable phase extraction methods for phase plane motion estimation
Molinov, S.
* 2003: Fast and robust dense stereo correspondence by column segmentation
Molisch, A.F.
* 2014: Vehicle-to-Vehicle Propagation Models With Large Vehicle Obstructions
* 2015: Measurement-Based Stochastic Model for High-Speed Railway Channels, A
* 2015: Time- and Frequency-Varying K -Factor of Non-Stationary Vehicular Channels for Safety-Relevant Scenarios
* 2016: High-Accuracy Localization for Assisted Living: 5G systems will turn multipath channels from foe to friend
* 2018: Survey on the Impact of Multipath on Wideband Time-of-Arrival Based Localization, A
* 2020: 5G Key Technologies for Smart Railways
* 2026: Context-Conditioned Spatio-Temporal Predictive Learning for Reliable V2V Channel Prediction
Includes: Molisch, A.F. Molisch, A.F.[Andreas F.]
7 for Molisch, A.F.
Molisse, G.[Giulia]
* 2023: Insuring Alpine Grasslands against Drought-Related Yield Losses Using Sentinel-2 Satellite Data
Molitor, C.[Cullen]
* 2025: Monitoring Maize Yield Variability over Space and Time with Unsupervised Satellite Imagery Features
Molitor, D.[Daniel]
* 2022: Projections of Climate Change Impacts on Flowering-Veraison Water Deficits for Riesling and Muller-Thurgau in Germany
Molitor, N.
* 2020: Detection of radioactive waste sites in the Chornobyl exclusion zone using UAV-based lidar data and multispectral imagery