Mignard Debise, L.
* 2016: Principles of Light Field Imaging: Briefly revisiting 25 years of research
Includes: Mignard Debise, L. Mignard-Debise, L.
Migne, E.[Emmanuelle]
* 2021: Estimation of Bathymetry and Benthic Habitat Composition from Hyperspectral Remote Sensing Data (BIODIVERSITY) Using a Semi-Analytical Approach
Mignet, N.[Nathalie]
* 2014: Grading Cancer from Liver Histology Images Using Inter and Intra Region Spatial Relations
Migniot, C.[Cyrille]
* 2011: Automatic people segmentation with a template-driven graph cut
* 2013: 3D Human Tracking from Depth Cue in a Buying Behavior Analysis Context
* 2013: 3D Human Tracking in a Top View Using Depth Information Recorded by the Xtion Pro-Live Camera
* 2016: Hybrid 3D-2D human tracking in a top view
* 2019: Emotional State Recognition with Micro-expressions and Pulse Rate Variability
* 2019: Hand pose estimation and tracking in real and virtual interaction: A review
* 2024: SOAC: Spatio-Temporal Overlap-Aware Multi-Sensor Calibration using Neural Radiance Fields
7 for Migniot, C.
Mignon, A.[Alexis]
* 2012: PCCA: A new approach for distance learning from sparse pairwise constraints
Mignon, S.[Simon]
* 2025: Semi-Unbalanced Optimal Transport for Reference-Based Image Restoration and Synthesis
Mignone, G.[Graziana]
* 2023: Controllable Inversion of Black-Box Face Recognition Models via Diffusion
* 2023: Self-Supervised Effective Resolution Estimation with Adversarial Augmentations
Mignone, P.
* 2015: Multidomain Verification of Dynamic Signatures Using Local Stability Analysis
Mignosi, F.[Filippo]
* 2021: Integration of a BCI with a Hand Tracking System and a Motorized Robotic Arm to Improve Decoding of Brain Signals Related to Hand and Finger Movements
* 2023: Hand Tracking and Gesture Recognition by Multiple Contactless Sensors: A Survey
* 2024: Siamese network to assess scanner-related contrast variability in MRI
Mignot, A.
* 2002: MPEG-4 towards solid representation
* 2004: MPEG-4 Toward Solid Representation
Mignot, P.
* 1992: Multifractals, texture, and image analysis
Mignotte, M.[Max]
* 1999: Deformable Template and Distribution Mixture-based Data Modeling for the Endocardial Contour Tracking in an Echographic Sequence
* 1999: Three-Class Markovian Segmentation of High-Resolution Sonar Images
* 2000: Hybrid Genetic Optimization and Statistical Model-Based Approach for the Classification of Shadow Shapes in Sonar Imagery
* 2000: Markov Random Field and Fuzzy Logic Modeling in Sonar Imagery: Application to the Classification of Underwater Floor
* 2000: Sonar Image Segmentation Using an Unsupervised Hierarchical MRF Model
* 2000: Unsupervised segmentation using a self-organizing map and a noise model estimation in sonar imagery
* 2001: 3D Biplanar Reconstruction of Scoliotic Vertebrae Using Statistical Models
* 2001: Endocardial Boundary Estimation and Tracking in Echocardiographic Images using Deformable Template and Markov Random Fields
* 2002: Bayesian rendering with non-parametric multiscale prior model
* 2002: new and simple shape descriptor based on a non-parametric multiscale model, A
* 2002: Unsupervised detection of contours using a statistical model
* 2003: hierarchical statistical modeling approach for the unsupervised 3d reconstruction of the scoliotic spine, A
* 2003: Unsupervised statistical sketching for non-photorealistic rendering models
* 2003: Unsupervised texture segmentation using a statistical wavelet-based hierarchical multi data model
* 2004: energy-based framework using global spatial constraints for the stereo correspondence problem, An
* 2004: Estimation of mixtures of probabilistic PCA with stochastic EM for the 3d biplanar reconstruction of scoliotic rib cage
* 2004: Nonparametric multiscale energy-based model and its application in some imagery problems
* 2004: statistical model for contours in images, A
* 2004: Unsupervised Motion Detection Using a Markovian Temporal Model with Global Spatial Constraints
* 2005: Adaptive Segmentation-Based Regularization Term for Image Restoration, An
* 2005: Markovian Energy-Based Computer Vision Algorithms on Graphics Hardware
* 2005: Motion Segmentation Using a K-Nearest-Neighbor-Based Fusion Procedure of Spatial and Temporal Label Cues
* 2005: stochastic method for Bayesian estimation of hidden Markov random field models with application to a color model, A
* 2006: Background Subtraction Framework Based on Local Spatial Distributions
* 2006: Detecting Half-Occlusion with a Fast Region-Based Fusion Procedure
* 2006: Edge-Preserving Anatomical-Based Regularization Term for the Nas-Rif Restoration of SPECT Images, An
* 2006: Fusion of Hidden Markov Random Field Models and Its Bayesian Estimation
* 2006: Light and Fast Statistical Motion Detection Method Based on Ergodic Model
* 2006: Optical-flow based on an edge-avoidance procedure
* 2006: Segmentation-Based Regularization Term for Image Deconvolution, A
* 2007: Image Denoising by Averaging of Piecewise Constant Simulations of Image Partitions
* 2007: Localization of Shapes Using Statistical Models and Stochastic Optimization
* 2007: Post-Processing Deconvolution Step for Wavelet-Based Image Denoising Methods, A
* 2007: Segmentation Framework Based on Label Field Fusion
* 2007: Statistical Background Subtraction Using Spatial Cues
* 2008: non-local regularization strategy for image deconvolution, A
* 2008: Segmentation by Fusion of Histogram-Based K-Means Clusters in Different Color Spaces
* 2008: Spect image restoration via Recursive Inverse Filtering constrained by a probabilistic MRI atlas
* 2009: hierarchical graph-based markovian clustering approach for the unsupervised segmentation of textured color images, A
* 2009: Optical-flow based on an edge-avoidance procedure
* 2010: Label Field Fusion Bayesian Model and Its Penalized Maximum Rand Estimator for Image Segmentation, A
* 2010: Multiresolution Markovian Fusion Model for the Color Visualization of Hyperspectral Images, A
* 2011: de-texturing and spatially constrained K-means approach for image segmentation, A
* 2012: Bicriteria-Optimization-Approach-Based Dimensionality-Reduction Model for the Color Display of Hyperspectral Images, A
* 2012: Energy-Based Model for the Image Edge-Histogram Specification Problem, An
* 2012: MDS-based segmentation model for the fusion of contour and texture cues in natural images
* 2012: Particle Filter Framework for Contour Detection, A
* 2014: Local Symmetry Detection in Natural Images Using a Particle Filtering Approach
* 2014: MDS-based Multi-axial Dimensionality Reduction Model for Human Action Recognition
* 2014: Multi-Scale Particle Filter Framework for Contour Detection, A
* 2015: Superpixel and Entropy-Based Multi-atlas Fusion Framework for the Segmentation of X-ray Images
* 2016: GCE-based model for the fusion of multiples color image segmentations
* 2016: High-Frequency Spectral Energy Map Estimation Based Gait Analysis System Using a Depth Camera for Pathology Detection
* 2016: Iterative Classifiers Combination Model for Change Detection in Remote Sensing Imagery
* 2016: multi-objective approach based on TOPSIS to solve the image segmentation combination problem, A
* 2016: multidimensional scaling optimization and fusion approach for the unsupervised change detection problem in remote sensing images, A
* 2016: new multi-criteria fusion model for color textured image segmentation, A
* 2016: Spatio-temporal fastmap-based mapping for human action recognition
* 2016: Symmetry detection based on multiscale pairwise texture boundary segment interactions
* 2017: Multi-Objective Decision Making Approach for Solving the Image Segmentation Fusion Problem, A
* 2017: new change detector in heterogeneous remote sensing imagery, A
* 2017: Novel Fusion Approach Based on the Global Consistency Criterion to Fusing Multiple Segmentations, A
* 2017: Semantic image segmentation using the ICM algorithm
* 2018: Energy-Based Model Encoding Nonlocal Pairwise Pixel Interactions for Multisensor Change Detection, An
* 2019: MC-SSM: Nonparametric Semantic Image Segmentation With the ICM Algorithm
* 2020: Fractal Projection and Markovian Segmentation-Based Approach for Multimodal Change Detection, A
* 2020: Multimodal Change Detection in Remote Sensing Images Using an Unsupervised Pixel Pairwise-Based Markov Random Field Model
* 2021: Environmental Sound Classification Using Local Binary Pattern and Audio Features Collaboration
* 2021: Hierarchical Visual Feature-Based Approach For Image Sonification, A
Includes: Mignotte, M.[Max] Mignotte, M.
69 for Mignotte, M.