Max Mignotte

116 papers A* 1A 1B 17C 1Misc 3Journal 65Unranked 28
YearRankTypeTitle / Venue / Authors
2023 J jnl
3D biplanar reconstruction of lower limbs using nonlinear statistical models.
Medical Biol. Eng. Comput.
Dac Cong Tai Nguyen, Said Benameur, Max Mignotte, Frédéric Lavoie
2023 J jnl
CoSOV1Net: A Cone- and Spatial-Opponent Primary Visual Cortex-Inspired Neural Network for Lightweight Salient Object Detection.
Sensors
Didier Ndayikengurukiye, Max Mignotte
2023 J jnl
Dataset and semantic based-approach for image sonification.
Multim. Tools Appl.
Ohini Kafui Toffa, Max Mignotte
2023 J jnl
Unsupervised registration of 3D knee implant components to biplanar X-ray images.
BMC Medical Imaging
Dac Cong Tai Nguyen, Said Benameur, Max Mignotte, Frédéric Lavoie
2022 J jnl
Salient Object Detection by LTP Texture Characterization on Opposing Color Pairs under SLICO Superpixel Constraint.
CoRR
Didier Ndayikengurukiye, Max Mignotte
2022 J jnl
Salient Object Detection by LTP Texture Characterization on Opposing Color Pairs under SLICO Superpixel Constraint.
J. Imaging
Didier Ndayikengurukiye, Max Mignotte
2021 J jnl
A Hierarchical Visual Feature-Based Approach For Image Sonification.
IEEE Trans. Multim.
Ohini Kafui Toffa, Max Mignotte
2021 J jnl
Environmental Sound Classification Using Local Binary Pattern and Audio Features Collaboration.
IEEE Trans. Multim.
Ohini Kafui Toffa, Max Mignotte
2020 J jnl
A Fractal Projection and Markovian Segmentation-Based Approach for Multimodal Change Detection.
IEEE Trans. Geosci. Remote. Sens.
Max Mignotte
2020 J jnl
Anomaly Feature Learning for Unsupervised Change Detection in Heterogeneous Images: A Deep Sparse Residual Model.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.
Redha Touati, Max Mignotte, Mohamed Dahmane
2020 J jnl
Deep Learning for Change Detection in Remote Sensing Images: Comprehensive Review and Meta-Analysis.
IEEE Access
Lazhar Khelifi, Max Mignotte
2020 J jnl
Deep Learning for Change Detection in Remote Sensing Images: Comprehensive Review and Meta-Analysis.
CoRR
Lazhar Khelifi, Max Mignotte
2020 J jnl
Multimodal Change Detection in Remote Sensing Images Using an Unsupervised Pixel Pairwise-Based Markov Random Field Model.
IEEE Trans. Image Process.
Redha Touati, Max Mignotte, Mohamed Dahmane
2020 J jnl
Unsupervised Learning Consensus Model for Dynamic Texture Videos Segmentation.
CoRR
Lazhar Khelifi, Max Mignotte
2019 J jnl
A Reliable Mixed-Norm-Based Multiresolution Change Detector in Heterogeneous Remote Sensing Images.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.
Redha Touati, Max Mignotte, Mohamed Dahmane
2019 J jnl
MC-SSM: Nonparametric Semantic Image Segmentation With the ICM Algorithm.
IEEE Trans. Multim.
Lazhar Khelifi, Max Mignotte
2019 — conf
Multimodal Change Detection Using a Convolution Model-Based Mapping.
IPTA
Redha Touati, Max Mignotte, Mohamed Dahmane
2018 B conf
A Consensus Framework for Segmenting Video with Dynamic Textures.
AVSS
Lazhar Khelifi, Max Mignotte
2018 J jnl
An Energy-Based Model Encoding Nonlocal Pairwise Pixel Interactions for Multisensor Change Detection.
IEEE Trans. Geosci. Remote. Sens.
Redha Touati, Max Mignotte
2018 J jnl
Superpixel and multi-atlas based fusion entropic model for the segmentation of X-ray images.
Medical Image Anal.
Dac Cong Tai Nguyen, Said Benameur, Max Mignotte, Frédéric Lavoie
2017 J jnl
A Multi-Objective Decision Making Approach for Solving the Image Segmentation Fusion Problem.
IEEE Trans. Image Process.
Lazhar Khelifi, Max Mignotte
2017 J jnl
A Novel Fusion Approach Based on the Global Consistency Criterion to Fusing Multiple Segmentations.
IEEE Trans. Syst. Man Cybern. Syst.
Lazhar Khelifi, Max Mignotte
2017 J jnl
A biologically inspired framework for contour detection.
Pattern Anal. Appl.
Max Mignotte
2017 — conf
A new change detector in heterogeneous remote sensing imagery.
IPTA
Redha Touati, Max Mignotte, Mohamed Dahmane
2017 J jnl
EFA-BMFM: A multi-criteria framework for the fusion of colour image segmentation.
Inf. Fusion
Lazhar Khelifi, Max Mignotte
2017 J jnl
Segmentation data visualizing and clustering.
Multim. Tools Appl.
Ayman Khlif, Max Mignotte
2017 B conf
Semantic image segmentation using the ICM algorithm.
ICIP
Lazhar Khelifi, Max Mignotte
2016 B conf
A multi-objective approach based on TOPSIS to solve the image segmentation combination problem.
ICPR
Lazhar Khelifi, Max Mignotte
2016 — conf
A multidimensional scaling optimization and fusion approach for the unsupervised change detection problem in remote sensing images.
IPTA
Redha Touati, Max Mignotte
2016 B conf
A new multi-criteria fusion model for color textured image segmentation.
ICIP
Lazhar Khelifi, Max Mignotte
2016 B conf
GCE-based model for the fusion of multiples color image segmentations.
ICIP
Lazhar Khelifi, Max Mignotte
2016 — conf
High-Frequency Spectral Energy Map Estimation Based Gait Analysis System Using a Depth Camera for Pathology Detection.
ICIAR
Didier Ndayikengurukiye, Max Mignotte
2016 J jnl
Iterative Classifiers Combination Model for Change Detection in Remote Sensing Imagery.
IEEE Trans. Geosci. Remote. Sens.
Rachid Hedjam, Margaret Kalacska, Max Mignotte, Hossein Ziaei Nafchi, Mohamed Cheriet
2016 B conf
Spatio-temporal fastmap-based mapping for human action recognition.
ICIP
Lilia Chorfi Belhadj, Max Mignotte
2016 J jnl
Symmetry detection based on multiscale pairwise texture boundary segment interactions.
Pattern Recognit. Lett.
Max Mignotte
2015 — conf
Superpixel and Entropy-Based Multi-atlas Fusion Framework for the Segmentation of X-ray Images.
ICIAP (2)
Dac Cong Tai Nguyen, Said Benameur, Max Mignotte, Frédéric Lavoie
2014 J jnl
A MultiScale Particle Filter Framework for Contour Detection.
IEEE Trans. Pattern Anal. Mach. Intell.
Nicolas Widynski, Max Mignotte
2014 J jnl
A label field fusion model with a variation of information estimator for image segmentation.
Inf. Fusion
Max Mignotte
2014 J jnl
A non-stationary MRF model for image segmentation from a soft boundary map.
Pattern Anal. Appl.
Max Mignotte
2014 — conf
Evaluating perceptual maps of asymmetries for gait symmetry quantification and pathology detection.
EMBC
Antoine Moevus, Max Mignotte, Jacques A. de Guise, Jean Meunier
2014 J jnl
Local Symmetry Detection in Natural Images Using a Particle Filtering Approach.
IEEE Trans. Image Process.
Nicolas Widynski, Antoine Moevus, Max Mignotte
2014 — conf
MDS-based Multi-axial Dimensionality Reduction Model for Human Action Recognition.
CRV
Redha Touati, Max Mignotte
2012 J jnl
A Bicriteria-Optimization-Approach-Based Dimensionality-Reduction Model for the Color Display of Hyperspectral Images.
IEEE Trans. Geosci. Remote. Sens.
Max Mignotte
2012 — conf
A Particle Filter Framework for Contour Detection.
ECCV (1)
Nicolas Widynski, Max Mignotte
2012 J jnl
An Energy-Based Model for the Image Edge-Histogram Specification Problem.
IEEE Trans. Image Process.
Max Mignotte
2012 — conf
An homomorphic filtering and expectation maximization approach for the point spread function estimation in ultrasound imaging.
Image Processing: Algorithms and Systems / Parallel Processing for Imaging Applications
Said Benameur, Max Mignotte, Frédéric Lavoie
2012 — conf
Analyzing gait pathologies using a depth camera.
EMBC
Hoang Anh Nguyen, Edouard Auvinet, Max Mignotte, Jacques A. de Guise, Jean Meunier
2012 J jnl
MDS-based segmentation model for the fusion of contour and texture cues in natural images.
Comput. Vis. Image Underst.
Max Mignotte
2012 J jnl
Non-local pairwise energy-based model for the high-dynamic-range image compression problem.
J. Electronic Imaging
Max Mignotte
2011 — conf
A contrario edge detection with edgelets.
ICSIPA
Nicolas Widynski, Max Mignotte
2011 J jnl
A de-texturing and spatially constrained K-means approach for image segmentation.
Pattern Recognit. Lett.
Max Mignotte
2011 — conf
Depth energy image for gait symmetry quantification.
EMBC
Caroline Rougier, Edouard Auvinet, Jean Meunier, Max Mignotte, Jacques A. de Guise
2011 C conf
Fall Detection from Depth Map Video Sequences.
ICOST
Caroline Rougier, Edouard Auvinet, Jacqueline Rousseau, Max Mignotte, Jean Meunier
2011 J jnl
MDS-Based Multiresolution Nonlinear Dimensionality Reduction Model for Color Image Segmentation.
IEEE Trans. Neural Networks
Max Mignotte
2011 B conf
Unsupervised segmentation of ultrasound images by fusion of spatio-frequential textural features.
Image Processing
Said Benameur, Max Mignotte, Frédéric Lavoie
2010 J jnl
A Label Field Fusion Bayesian Model and Its Penalized Maximum Rand Estimator for Image Segmentation.
IEEE Trans. Image Process.
Max Mignotte
2010 J jnl
A Multiresolution Markovian Fusion Model for the Color Visualization of Hyperspectral Images.
IEEE Trans. Geosci. Remote. Sens.
Max Mignotte
2010 J jnl
Fusion of regularization terms for image restoration.
J. Electronic Imaging
Max Mignotte
2009 B conf
A hierarchical graph-based markovian clustering approach for the unsupervised segmentation of textured color images.
ICIP
Rachid Hedjam, Max Mignotte
2009 J jnl
Image Restoration Using Functional and Anatomical Information Fusion with Application to SPECT-MRI Images.
Int. J. Biomed. Imaging
Said Benameur, Max Mignotte, Jean Meunier, Jean-Paul Soucy
2009 J jnl
Optical-flow based on an edge-avoidance procedure.
Comput. Vis. Image Underst.
Pierre-Marc Jodoin, Max Mignotte
2008 J jnl
A non-local regularization strategy for image deconvolution.
Pattern Recognit. Lett.
Max Mignotte
2008 J jnl
DCT-Based Complexity Regularization for EM Tomographic Reconstruction.
IEEE Trans. Biomed. Eng.
Max Mignotte, Jean Meunier, Jean-Paul Soucy
2008 J jnl
Segmentation by Fusion of Histogram-Based K-Means Clusters in Different Color Spaces.
IEEE Trans. Image Process.
Max Mignotte
2008 B conf
Spect image restoration via Recursive Inverse Filtering constrained by a probabilistic MRI atlas.
ICIP
Said Benameur, Max Mignotte, Jean-Paul Soucy, Jean Meunier
2007 J jnl
A Post-Processing Deconvolution Step for Wavelet-Based Image Denoising Methods.
IEEE Signal Process. Lett.
Max Mignotte
2007 J jnl
Image Denoising by Averaging of Piecewise Constant Simulations of Image Partitions.
IEEE Trans. Image Process.
Max Mignotte
2007 J jnl
Localization of Shapes Using Statistical Models and Stochastic Optimization.
IEEE Trans. Pattern Anal. Mach. Intell.
François Destrempes, Max Mignotte, Jean-François Angers
2007 J jnl
Segmentation Framework Based on Label Field Fusion.
IEEE Trans. Image Process.
Pierre-Marc Jodoin, Max Mignotte, Christophe Rosenberger
2007 J jnl
Statistical Background Subtraction Using Spatial Cues.
IEEE Trans. Circuits Syst. Video Technol.
Pierre-Marc Jodoin, Max Mignotte, Janusz Konrad
2006 J jnl
A Segmentation-Based Regularization Term for Image Deconvolution.
IEEE Trans. Image Process.
Max Mignotte
2006 B conf
An Edge-Preserving Anatomical-Based Regularization Term for the Nas-Rif Restoration of Spect Images.
ICIP
Said Benameur, Max Mignotte, Jean-Paul Soucy, Jean Meunier
2006 — conf
Background Subtraction Framework Based on Local Spatial Distributions.
ICIAR (1)
Pierre-Marc Jodoin, Max Mignotte, Janusz Konrad
2006 A conf
Detecting Half-Occlusion with a Fast Region-Based Fusion Procedure.
BMVC
Pierre-Marc Jodoin, Christophe Rosenberger, Max Mignotte
2006 J jnl
Fusion of Hidden Markov Random Field Models and Its Bayesian Estimation.
IEEE Trans. Image Process.
François Destrempes, Jean-François Angers, Max Mignotte
2006 B conf
Light and Fast Statistical Motion Detection Method Based on Ergodic Model.
ICIP
Pierre-Marc Jodoin, Max Mignotte, Janusz Konrad
2006 J jnl
Markovian segmentation and parameter estimation on graphics hardware.
J. Electronic Imaging
Pierre-Marc Jodoin, Max Mignotte
2006 B conf
Optical-Flow Based on an Edge-Avoidance Procedure.
ICIP
Pierre-Marc Jodoin, Max Mignotte
2005 J jnl
A hierarchical statistical modeling approach for the unsupervised 3-D biplanar reconstruction of the scoliotic spine.
IEEE Trans. Biomed. Eng.
Said Benameur, Max Mignotte, Hubert Labelle, Jacques A. de Guise
2005 J jnl
A stochastic method for Bayesian estimation of hidden Markov random field models with application to a color model.
IEEE Trans. Image Process.
François Destrempes, Max Mignotte, Jean-François Angers
2005 — conf
An adaptive segmentation-based regularization term for image restoration.
ICIP (1)
Max Mignotte
2005 Misc conf
Markovian Energy-Based Computer Vision Algorithms on Graphics Hardware.
ICIAP
Pierre-Marc Jodoin, Max Mignotte, Jean-François St-Amour
2005 — conf
Motion Segmentation Using a K-Nearest-Neighbor-Based Fusion Procedure of Spatial and Temporal Label Cues.
ICIAR
Pierre-Marc Jodoin, Max Mignotte
2005 — conf
Semantic-Based Cross-Media Image Retrieval.
ICAPR (2)
Ahmed Id Oumohmed, Max Mignotte, Jian-Yun Nie
2005 J jnl
Three-dimensional biplanar reconstruction of scoliotic rib cage using the estimation of a mixture of probabilistic prior models.
IEEE Trans. Biomed. Eng.
Said Benameur, Max Mignotte, François Destrempes, Jacques A. de Guise
2005 — conf
Unsupervised Markovian Segmentation on Graphics Hardware.
ICAPR (2)
Pierre-Marc Jodoin, Jean-François St-Amour, Max Mignotte
2004 J jnl
A Statistical Model for Contours in Images.
IEEE Trans. Pattern Anal. Mach. Intell.
François Destrempes, Max Mignotte
2004 B conf
An energy-basfd framework using global spatial constraints for the stereo correspondence problem.
ICIP
Pierre-Marc Jodoin, Max Mignotte
2004 J jnl
Detection of diffuse abnormal perfusion in SPECT using a normal brain atlas.
NeuroImage
Jean-Francois Laliberte, Jean Meunier, Max Mignotte, Jean-Paul Soucy
2004 B conf
Estimation of mixtures of probabilistic pca with stochastic em for the 3d biplanar reconstruction of scoliotic rib cage.
ICIP
Said Benameur, Max Mignotte, François Destrempes, Jacques A. de Guise
2004 J jnl
Nonparametric Multiscale Energy-Based Model and Its Application in Some Imagery Problems.
IEEE Trans. Pattern Anal. Mach. Intell.
Max Mignotte
2004 — conf
Toward Cross-Language and Cross-Media Image Retrieval.
CLEF (Working Notes)
Carmen Alvarez, Ahmed Id Oumohmed, Max Mignotte, Jian-Yun Nie
2004 — conf
Toward Cross-Language and Cross-Media Image Retrieval.
CLEF
Carmen Alvarez, Ahmed Id Oumohmed, Max Mignotte, Jian-Yun Nie
2004 B conf
Unsupervised motion detection using a markovian temporal model with global spatial constraints.
ICIP
Pierre-Marc Jodoin, Max Mignotte
2003 — conf
A hierarchical statistical modeling approach for the unsupervised 3D reconstruction of the scoliotic spine.
ICIP (1)
Said Benameur, Max Mignotte, Stefan Parent, Hubert Labelle, Wafa Skalli, Jacques A. de Guise
2003 B conf
Detection of abnormal diffuse perfusion in SPECT using a normal brain atlas.
Image Processing
Jean-Francois Laliberte, Jean Meunier, Max Mignotte, Jean-Paul Soucy
2003 — conf
Unsupervised statistical sketching for non-photorealistic rendering models.
ICIP (3)
Max Mignotte
2003 — conf
Unsupervised texture segmentation using a statistical wavelet-based hierarchical multidata model.
ICIP (2)
François Destrempes, Max Mignotte
2002 — conf
A new and simple shape descriptor based on a non-parametric multiscale model.
ICIP (1)
Max Mignotte
2002 — conf
Bayesian Rendering with Non-Parametric Multiscale Prior Model.
ICPR (1)
Max Mignotte
2002 J jnl
Comparison of deconvolution techniques using a distribution mixture parameter estimation: Application in single photon emission computed tomography imagery.
J. Electronic Imaging
Max Mignotte, Jean Meunier, Jean-Paul Soucy, Christian Janicki
2002 — conf
Unsupervised Statistical Method for Edgel Clustering With Applications to Shape Localization.
ICVGIP
François Destrempes, Max Mignotte
2002 — conf
Unsupervised detection of contours using a statistical model.
ICIP (2)
François Destrempes, Max Mignotte
2001 — conf
3D Biplanar Reconstruction of Scoliotic Vertebrae Using Statistical Models.
CVPR (2)
Said Benameur, Max Mignotte, Stefan Parent, Hubert Labelle, Wafa Skalli, Jacques A. de Guise
2001 J jnl
Endocardial Boundary E timation and Tracking in Echocardiographic Images using Deformable Template and Markov Random Fields.
Pattern Anal. Appl.
Max Mignotte, Jean Meunier, Jean-Claude Tardif
2000 B conf
Blind deconvolution of human brain SPECT images using a distribution mixture estimation.
Image Processing
Max Mignotte, Jean Meunier
2000 J jnl
Hybrid Genetic Optimization and Statistical Model-Based Approach for the Classification of Shadow Shapes in Sonar Imagery.
IEEE Trans. Pattern Anal. Mach. Intell.
Max Mignotte, Christophe Collet, Patrick Pérez, Patrick Bouthemy
2000 J jnl
Markov Random Field and Fuzzy Logic Modeling in Sonar Imagery: Application to the Classification of Underwater Floor.
Comput. Vis. Image Underst.
Max Mignotte, Christophe Collet, Patrick Pérez, Patrick Bouthemy
2000 J jnl
Sonar image segmentation using an unsupervised hierarchical MRF model.
IEEE Trans. Image Process.
Max Mignotte, Christophe Collet, Patrick Pérez, Patrick Bouthemy
2000 J jnl
Three-dimensional blind deconvolution of SPECT images.
IEEE Trans. Biomed. Eng.
Max Mignotte, Jean Meunier
2000 J jnl
Unsupervised segmentation using a self-organizing map and a noise model estimation in sonar imagery.
Pattern Recognit.
Koffi Yao, Max Mignotte, Christophe Collet, Pascal Galerne, Gilles Burel
1999 — conf
Bayesian inference and optimization strategies for some detection and classification problems in sonar imagery.
Electronic Imaging: Nonlinear Image Processing
Max Mignotte, Christophe Collet, Patrick Pérez, Patrick Bouthemy
1999 A* conf
Deformable Template and Distribution Mixture-Based Data Modeling for the Endocardial Contour Tracking in an Echographic Sequence.
CVPR
Max Mignotte, Jean Meunier
1999 J jnl
Three-Class Markovian Segmentation of High-Resolution Sonar Images.
Comput. Vis. Image Underst.
Max Mignotte, Christophe Collet, Patrick Pérez, Patrick Bouthemy
1998 Misc conf
Statistical model and genetic optimization: application to pattern detection in sonar images.
ICASSP
Max Mignotte, Christophe Collet, Patrick Pérez, Patrick Bouthemy
1997 Misc conf
Unsupervised Markovian segmentation of sonar images.
ICASSP
Max Mignotte, Christophe Collet, Patrick Pérez, Patrick Bouthemy