Max Mignotte

Max Mignotte: MDS-based segmentation model for the fusion of contour and texture cues in natural images. Computer Vision and Image Understanding 116(9): 981-990 (2012)

Max Mignotte: A Bicriteria-Optimization-Approach-Based Dimensionality-Reduction Model for the Color Display of Hyperspectral Images. IEEE T. Geoscience and Remote Sensing 50(2): 501-513 (2012)

Max Mignotte: An Energy-Based Model for the Image Edge-Histogram Specification Problem. IEEE Transactions on Image Processing 21(1): 379-386 (2012)

Nicolas Widynski, Max Mignotte: A Particle Filter Framework for Contour Detection. ECCV (1) 2012: 780-793

Max Mignotte: A de-texturing and spatially constrained K-means approach for image segmentation. Pattern Recognition Letters 32(2): 359-367 (2011)

Max Mignotte: MDS-Based Multiresolution Nonlinear Dimensionality Reduction Model for Color Image Segmentation. IEEE Transactions on Neural Networks 22(3): 447-460 (2011)

Caroline Rougier, Edouard Auvinet, Jacqueline Rousseau, Max Mignotte, Jean Meunier: Fall Detection from Depth Map Video Sequences. ICOST 2011: 121-128

Nicolas Widynski, Max Mignotte: A contrario edge detection with edgelets. ICSIPA 2011: 421-426

Max Mignotte: A Multiresolution Markovian Fusion Model for the Color Visualization of Hyperspectral Images. IEEE T. Geoscience and Remote Sensing 48(12): 4236-4247 (2010)

Max Mignotte: A Label Field Fusion Bayesian Model and Its Penalized Maximum Rand Estimator for Image Segmentation. IEEE Transactions on Image Processing 19(6): 1610-1624 (2010)

Pierre-Marc Jodoin, Max Mignotte: Optical-flow based on an edge-avoidance procedure. Computer Vision and Image Understanding 113(4): 511-531 (2009)

Said Benameur, Max Mignotte, Jean Meunier, Jean-Paul Soucy: Image Restoration Using Functional and Anatomical Information Fusion with Application to SPECT-MRI Images. Int. J. Biomedical Imaging 2009 (2009)

Rachid Hedjam, Max Mignotte: A hierarchical graph-based markovian clustering approach for the unsupervised segmentation of textured color images. ICIP 2009: 1365-1368

Max Mignotte: A non-local regularization strategy for image deconvolution. Pattern Recognition Letters 29(16): 2206-2212 (2008)

Max Mignotte, Jean Meunier, Jean-Paul Soucy: DCT-Based Complexity Regularization for EM Tomographic Reconstruction. IEEE Trans. Biomed. Engineering 55(2): 801-805 (2008)

Max Mignotte: Segmentation by Fusion of Histogram-Based K-Means Clusters in Different Color Spaces. IEEE Transactions on Image Processing 17(5): 780-787 (2008)

Said Benameur, Max Mignotte, Jean-Paul Soucy, Jean Meunier: Spect image restoration via Recursive Inverse Filtering constrained by a probabilistic MRI atlas. ICIP 2008: 2984-2987

François Destrempes, Max Mignotte, Jean-François Angers: Localization of Shapes Using Statistical Models and Stochastic Optimization. IEEE Trans. Pattern Anal. Mach. Intell. 29(9): 1603-1615 (2007)

Pierre-Marc Jodoin, Max Mignotte, Janusz Konrad: Statistical Background Subtraction Using Spatial Cues. IEEE Trans. Circuits Syst. Video Techn. 17(12): 1758-1763 (2007)

Max Mignotte: Image Denoising by Averaging of Piecewise Constant Simulations of Image Partitions. IEEE Transactions on Image Processing 16(2): 523-533 (2007)

Pierre-Marc Jodoin, Max Mignotte, Christophe Rosenberger: Segmentation Framework Based on Label Field Fusion. IEEE Transactions on Image Processing 16(10): 2535-2550 (2007)

Pierre-Marc Jodoin, Max Mignotte: Markovian segmentation and parameter estimation on graphics hardware. J. Electronic Imaging 15(3): 033005 (2006)

Max Mignotte: A Segmentation-Based Regularization Term for Image Deconvolution. IEEE Transactions on Image Processing 15(7): 1973-1984 (2006)

François Destrempes, Jean-François Angers, Max Mignotte: Fusion of Hidden Markov Random Field Models and Its Bayesian Estimation. IEEE Transactions on Image Processing 15(10): 2920-2935 (2006)

Pierre-Marc Jodoin, Christophe Rosenberger, Max Mignotte: Detecting Half-Occlusion with a Fast Region-Based Fusion Procedure. BMVC 2006: 417-426

Pierre-Marc Jodoin, Max Mignotte, Janusz Konrad: Background Subtraction Framework Based on Local Spatial Distributions. ICIAR (1) 2006: 370-380

Pierre-Marc Jodoin, Max Mignotte, Janusz Konrad: Light and Fast Statistical Motion Detection Method Based on Ergodic Model. ICIP 2006: 1053-1056

Said Benameur, Max Mignotte, Jean-Paul Soucy, Jean Meunier: An Edge-Preserving Anatomical-Based Regularization Term for the Nas-Rif Restoration of Spect Images. ICIP 2006: 1177-1180

Pierre-Marc Jodoin, Max Mignotte: Optical-Flow Based on an Edge-Avoidance Procedure. ICIP 2006: 1253-1256

Said Benameur, Max Mignotte, François Destrempes, Jacques A. de Guise: Three-dimensional biplanar reconstruction of scoliotic rib cage using the estimation of a mixture of probabilistic prior models. IEEE Trans. Biomed. Engineering 52(10): 1713-1728 (2005)

Said Benameur, Max Mignotte, Hubert Labelle, Jacques A. de Guise: A hierarchical statistical modeling approach for the unsupervised 3-D biplanar reconstruction of the scoliotic spine. IEEE Trans. Biomed. Engineering 52(12): 2041-2057 (2005)

François Destrempes, Max Mignotte, Jean-François Angers: A stochastic method for Bayesian estimation of hidden Markov random field models with application to a color model. IEEE Transactions on Image Processing 14(8): 1096-1108 (2005)

Ahmed Id Oumohmed, Max Mignotte, Jian-Yun Nie: Semantic-Based Cross-Media Image Retrieval. ICAPR (2) 2005: 414-423

Pierre-Marc Jodoin, Jean-François St-Amour, Max Mignotte: Unsupervised Markovian Segmentation on Graphics Hardware. ICAPR (2) 2005: 444-454

Pierre-Marc Jodoin, Max Mignotte, Jean-François St-Amour: Markovian Energy-Based Computer Vision Algorithms on Graphics Hardware. ICIAP 2005: 592-603

Pierre-Marc Jodoin, Max Mignotte: Motion Segmentation Using a K-Nearest-Neighbor-Based Fusion Procedure of Spatial and Temporal Label Cues. ICIAR 2005: 778-788

Max Mignotte: An adaptive segmentation-based regularization term for image restoration. ICIP (1) 2005: 901-904

Max Mignotte: Nonparametric Multiscale Energy-Based Model and Its Application in Some Imagery Problems. IEEE Trans. Pattern Anal. Mach. Intell. 26(2): 184-197 (2004)

François Destrempes, Max Mignotte: A Statistical Model for Contours in Images. IEEE Trans. Pattern Anal. Mach. Intell. 26(5): 626-638 (2004)

Carmen Alvarez, Ahmed Id Oumohmed, Max Mignotte, Jian-Yun Nie: Toward Cross-Language and Cross-Media Image Retrieval. CLEF 2004: 676-687

Pierre-Marc Jodoin, Max Mignotte: Unsupervised motion detection using a markovian temporal model with global spatial constraints. ICIP 2004: 2591-2594

Said Benameur, Max Mignotte, François Destrempes, Jacques A. de Guise: Estimation of mixtures of probabilistic pca with stochastic em for the 3d biplanar reconstruction of scoliotic rib cage. ICIP 2004: 2949-2952

Pierre-Marc Jodoin, Max Mignotte: An energy-basfd framework using global spatial constraints for the stereo correspondence problem. ICIP 2004: 3001-3004

Said Benameur, Max Mignotte, Stefan Parent, Hubert Labelle, Wafa Skalli, Jacques A. de Guise: A hierarchical statistical modeling approach for the unsupervised 3D reconstruction of the scoliotic spine. ICIP (1) 2003: 561-564

Max Mignotte: Unsupervised statistical sketching for non-photorealistic rendering models. ICIP (3) 2003: 573-576

François Destrempes, Max Mignotte: Unsupervised texture segmentation using a statistical wavelet-based hierarchical multidata model. ICIP (2) 2003: 1053-1056

Max Mignotte, Jean Meunier, Jean-Paul Soucy, C. Janicki: Comparison of deconvolution techniques using a distribution mixture parameter estimation: Application in single photon emission computed tomography imagery. J. Electronic Imaging 11(1): 11-24 (2002)

Max Mignotte: A new and simple shape descriptor based on a non-parametric multiscale model. ICIP (1) 2002: 445-448

François Destrempes, Max Mignotte: Unsupervised detection of contours using a statistical model. ICIP (2) 2002: 757-760

Max Mignotte: Bayesian Rendering with Non-Parametric Multiscale Prior Model. ICPR (1) 2002: 247-251

François Destrempes, Max Mignotte: Unsupervised Statistical Method for Edgel Clustering With Applications to Shape Localization. ICVGIP 2002

Max Mignotte, Jean Meunier, Jean-Claude Tardif: Endocardial Boundary E timation and Tracking in Echocardiographic Images using Deformable Template and Markov Random Fields. Pattern Anal. Appl. 4(4): 256-271 (2001)

Said Benameur, Max Mignotte, Stefan Parent, Hubert Labelle, Wafa Skalli, Jacques A. de Guise: 3D Biplanar Reconstruction of Scoliotic Vertebrae Using Statistical Models. CVPR (2) 2001: 577-582

Max Mignotte, Christophe Collet, Patrick Pérez, Patrick Bouthemy: Markov Random Field and Fuzzy Logic Modeling in Sonar Imagery: Application to the Classification of Underwater Floor. Computer Vision and Image Understanding 79(1): 4-24 (2000)

Max Mignotte, Christophe Collet, Patrick Pérez, Patrick Bouthemy: Hybrid Genetic Optimization and Statistical Model-Based Approach for the Classification of Shadow Shapes in Sonar Imagery. IEEE Trans. Pattern Anal. Mach. Intell. 22(2): 129-141 (2000)

Koffi Yao, Max Mignotte, Christophe Collet, Pascal Galerne, Gilles Burel: Unsupervised segmentation using a self-organizing map and a noise model estimation in sonar imagery. Pattern Recognition 33(9): 1575-1584 (2000)

Max Mignotte, Jean Meunier: Three-dimensional blind deconvolution of SPECT images. IEEE Trans. Biomed. Engineering 47(2): 274-280 (2000)

Max Mignotte, Christophe Collet, Patrick Pérez, Patrick Bouthemy: Sonar image segmentation using an unsupervised hierarchical MRF model. IEEE Transactions on Image Processing 9(7): 1216-1231 (2000)

Max Mignotte, Christophe Collet, Patrick Pérez, Patrick Bouthemy: Three-Class Markovian Segmentation of High-Resolution Sonar Images. Computer Vision and Image Understanding 76(3): 191-204 (1999)

Max Mignotte, Jean Meunier: Deformable Template and Distribution Mixture-Based Data Modeling for the Endocardial Contour Tracking in an Echographic Sequence. CVPR 1999: 1225-1230