 | 2012 |
|---|
| 54 |       | 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) |
| 53 | | Max Mignotte:
An Energy-Based Model for the Image Edge-Histogram Specification Problem.
IEEE Transactions on Image Processing 21(1): 379-386 (2012) |
| 2011 |
|---|
| 52 | | Caroline Rougier,
Edouard Auvinet,
Jacqueline Rousseau,
Max Mignotte,
Jean Meunier:
Fall Detection from Depth Map Video Sequences.
ICOST 2011: 121-128 |
| 51 | | Nicolas Widynski,
Max Mignotte:
A contrario edge detection with edgelets.
ICSIPA 2011: 421-426 |
| 50 | | Max Mignotte:
MDS-Based Multiresolution Nonlinear Dimensionality Reduction Model for Color Image Segmentation.
IEEE Transactions on Neural Networks 22(3): 447-460 (2011) |
| 49 | | Max Mignotte:
A de-texturing and spatially constrained K-means approach for image segmentation.
Pattern Recognition Letters 32(2): 359-367 (2011) |
| 2010 |
|---|
| 48 | | 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) |
| 47 | | 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) |
| 2009 |
|---|
| 46 | | Rachid Hedjam,
Max Mignotte:
A hierarchical graph-based markovian clustering approach for the unsupervised segmentation of textured color images.
ICIP 2009: 1365-1368 |
| 45 | | Pierre-Marc Jodoin,
Max Mignotte:
Optical-flow based on an edge-avoidance procedure.
Computer Vision and Image Understanding 113(4): 511-531 (2009) |
| 44 | | 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) |
| 2008 |
|---|
| 43 | | 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 |
| 42 | | 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) |
| 41 | | Max Mignotte:
A non-local regularization strategy for image deconvolution.
Pattern Recognition Letters 29(16): 2206-2212 (2008) |
| 2007 |
|---|
| 40 | | Pierre-Marc Jodoin,
Max Mignotte,
Janusz Konrad:
Statistical Background Subtraction Using Spatial Cues.
IEEE Trans. Circuits Syst. Video Techn. 17(12): 1758-1763 (2007) |
| 39 | | 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) |
| 38 | | Pierre-Marc Jodoin,
Max Mignotte,
Christophe Rosenberger:
Segmentation Framework Based on Label Field Fusion.
IEEE Transactions on Image Processing 16(10): 2535-2550 (2007) |
| 37 | | Max Mignotte:
Image Denoising by Averaging of Piecewise Constant Simulations of Image Partitions.
IEEE Transactions on Image Processing 16(2): 523-533 (2007) |
| 2006 |
|---|
| 36 | | Pierre-Marc Jodoin,
Christophe Rosenberger,
Max Mignotte:
Detecting Half-Occlusion with a Fast Region-Based Fusion Procedure.
BMVC 2006: 417-426 |
| 35 | | Pierre-Marc Jodoin,
Max Mignotte,
Janusz Konrad:
Background Subtraction Framework Based on Local Spatial Distributions.
ICIAR (1) 2006: 370-380 |
| 34 | | Pierre-Marc Jodoin,
Max Mignotte,
Janusz Konrad:
Light and Fast Statistical Motion Detection Method Based on Ergodic Model.
ICIP 2006: 1053-1056 |
| 33 | | 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 |
| 32 | | Pierre-Marc Jodoin,
Max Mignotte:
Optical-Flow Based on an Edge-Avoidance Procedure.
ICIP 2006: 1253-1256 |
| 31 | | 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) |
| 30 | | Max Mignotte:
A Segmentation-Based Regularization Term for Image Deconvolution.
IEEE Transactions on Image Processing 15(7): 1973-1984 (2006) |
| 29 | | Pierre-Marc Jodoin,
Max Mignotte:
Markovian segmentation and parameter estimation on graphics hardware.
J. Electronic Imaging 15(3): 033005 (2006) |
| 2005 |
|---|
| 28 | | Ahmed Id Oumohmed,
Max Mignotte,
Jian-Yun Nie:
Semantic-Based Cross-Media Image Retrieval.
ICAPR (2) 2005: 414-423 |
| 27 | | Pierre-Marc Jodoin,
Jean-François St-Amour,
Max Mignotte:
Unsupervised Markovian Segmentation on Graphics Hardware.
ICAPR (2) 2005: 444-454 |
| 26 | | Pierre-Marc Jodoin,
Max Mignotte,
Jean-François St-Amour:
Markovian Energy-Based Computer Vision Algorithms on Graphics Hardware.
ICIAP 2005: 592-603 |
| 25 | | 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 |
| 24 | | Max Mignotte:
An adaptive segmentation-based regularization term for image restoration.
ICIP (1) 2005: 901-904 |
| 23 | | 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) |
| 2004 |
|---|
| 22 | | Carmen Alvarez,
Ahmed Id Oumohmed,
Max Mignotte,
Jian-Yun Nie:
Toward Cross-Language and Cross-Media Image Retrieval.
CLEF 2004: 676-687 |
| 21 | | Pierre-Marc Jodoin,
Max Mignotte:
Unsupervised motion detection using a markovian temporal model with global spatial constraints.
ICIP 2004: 2591-2594 |
| 20 |  | 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 |
| 19 | | Pierre-Marc Jodoin,
Max Mignotte:
An energy-basfd framework using global spatial constraints for the stereo correspondence problem.
ICIP 2004: 3001-3004 |
| 18 | | 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) |
| 17 | | François Destrempes,
Max Mignotte:
A Statistical Model for Contours in Images.
IEEE Trans. Pattern Anal. Mach. Intell. 26(5): 626-638 (2004) |
| 2003 |
|---|
| 16 | | 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 |
| 15 | | François Destrempes,
Max Mignotte:
Unsupervised texture segmentation using a statistical wavelet-based hierarchical multidata model.
ICIP (2) 2003: 1053-1056 |
| 14 | | Max Mignotte:
Unsupervised statistical sketching for non-photorealistic rendering models.
ICIP (3) 2003: 573-576 |
| 2002 |
|---|
| 13 | | Max Mignotte:
A new and simple shape descriptor based on a non-parametric multiscale model.
ICIP (1) 2002: 445-448 |
| 12 | | François Destrempes,
Max Mignotte:
Unsupervised detection of contours using a statistical model.
ICIP (2) 2002: 757-760 |
| 11 | | Max Mignotte:
Bayesian Rendering with Non-Parametric Multiscale Prior Model.
ICPR (1) 2002: 247-251 |
| 10 | | François Destrempes,
Max Mignotte:
Unsupervised Statistical Method for Edgel Clustering With Applications to Shape Localization.
ICVGIP 2002 |
| 9 | | 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) |
| 2001 |
|---|
| 8 | | 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 |
| 7 | | 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) |
| 2000 |
|---|
| 6 | | 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) |
| 5 | | 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) |
| 4 | | 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) |
| 3 | | 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) |
| 1999 |
|---|
| 2 | | 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 |
| 1 | | 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) |
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