Joint segmentation of multivariate Poissonian time series. Application to burst and transient source experiments. - Nicolas Dobigeon; Jean-Yves Tourneret; Jeffrey D. Scargle (EUSIPCO, 2006)

Spectral Unmixing of Hyperspectral Images using a Hierarchical Bayesian Model. - Nicolas Dobigeon; Jean-Yves Tourneret (ICASSP (3), 2007)

Joint segmentation of wind speed and direction using a hierarchical model. - Nicolas Dobigeon; Jean-Yves Tourneret (Comput. Stat. Data Anal., 2007)

Joint Segmentation of Piecewise Constant Autoregressive Processes by Using a Hierarchical Model and a Bayesian Sampling Approach. - Nicolas Dobigeon; Jean-Yves Tourneret; Manuel Davy (IEEE Trans. Signal Process., 2007)

Joint Segmentation of Multivariate Astronomical Time Series: Bayesian Sampling With a Hierarchical Model. - Nicolas Dobigeon; Jean-Yves Tourneret; Jeffrey D. Scargle (IEEE Trans. Signal Process., 2007)

Bayesian linear unmixing of hyperspectral images corrupted by colored Gaussian noise with unknown covariance matrix. - Nicolas Dobigeon; Jean-Yves Tourneret; Alfred O. Hero III (ICASSP, 2008)

Semi-Supervised Linear Spectral Unmixing Using a Hierarchical Bayesian Model for Hyperspectral Imagery. - Nicolas Dobigeon; Jean-Yves Tourneret; Chein-I Chang (IEEE Trans. Signal Process., 2008)

Bayesian sparse image reconstruction for MRFM. - Nicolas Dobigeon; Alfred O. Hero III; Jean-Yves Tourneret (ICASSP, 2009)

An NCM-based Bayesian algorithm for hyperspectral unmixing. - Olivier Eches; Nicolas Dobigeon; Jean-Yves Tourneret (WHISPERS, 2009)

Material identification on martian hyperspectral images using bayesian source separation. - Frédéric Schmidt; Saïd Moussaoui; Nicolas Dobigeon (WHISPERS, 2009)

Bayesian separation of spectral sources under non-negativity and full additivity constraints. - Nicolas Dobigeon; Saïd Moussaoui; Jean-Yves Tourneret; Cédric Carteret (Signal Process., 2009)

Hierarchical Bayesian Sparse Image Reconstruction With Application to MRFM. - Nicolas Dobigeon; Alfred O. Hero III; Jean-Yves Tourneret (IEEE Trans. Image Process., 2009)

Joint Bayesian endmember extraction and linear unmixing for hyperspectral imagery. - Nicolas Dobigeon; Saïd Moussaoui; Martial Coulon; Jean-Yves Tourneret; Alfred O. Hero III (IEEE Trans. Signal Process., 2009)

A reversible-jump mcmc algorithm for estimating the number of endmembers in the normal compositional model application to the unmixing of hyperspectral images. - Olivier Eches; Nicolas Dobigeon; Jean-Yves Tourneret (ICASSP, 2010)

A partially collapsed Gibbs sampler for parameters with local constraints. - Georg Kail; Jean-Yves Tourneret; Franz Hlawatsch; Nicolas Dobigeon (ICASSP, 2010)

Markov random fields for joint unmixing and segmentation of hyperspectral images. - Olivier Eches; Nicolas Dobigeon; Jean-Yves Tourneret (WHISPERS, 2010)

Accuracy and performance of optimized Bayesian Source Separation for hyperspectral unmixing. - Frédéric Schmidt; Albrecht Schmidt 003; Erwan Tréguier; Maël Guiheneuf; Saïd Moussaoui; Nicolas Dobigeon (WHISPERS, 2010)

Estimating the Number of Endmembers in Hyperspectral Images Using the Normal Compositional Model and a Hierarchical Bayesian Algorithm. - Olivier Eches; Nicolas Dobigeon; Jean-Yves Tourneret (IEEE J. Sel. Top. Signal Process., 2010)

Algorithmes bayésiens pour le démélange supervisé, semi-supervisé et non-supervisé d'images hyperspectrales. - Nicolas Dobigeon; Saïd Moussaoui; Martial Coulon; Jean-Yves Tourneret; Alfred O. Hero III (Traitement du Signal, 2010)

Implementation Strategies for Hyperspectral Unmixing Using Bayesian Source Separation. - Frédéric Schmidt; Albrecht Schmidt 003; Erwan Tréguier; Maël Guiheneuf; Saïd Moussaoui; Nicolas Dobigeon (IEEE Trans. Geosci. Remote. Sens., 2010)

Bayesian Estimation of Linear Mixtures Using the Normal Compositional Model. Application to Hyperspectral Imagery. - Olivier Eches; Nicolas Dobigeon; Corinne Mailhes; Jean-Yves Tourneret (IEEE Trans. Image Process., 2010)

Bayesian orthogonal component analysis for sparse representation. - Nicolas Dobigeon; Jean-Yves Tourneret (IEEE Trans. Signal Process., 2010)

Bayesian estimation of a subspace. - Olivier Besson; Nicolas Dobigeon; Jean-Yves Tourneret (ACSCC, 2011)

Bayesian compressed sensing in ultrasound imaging. - Celine Quinsac; Nicolas Dobigeon; Adrian Basarab; Denis Kouame; Jean-Yves Tourneret (CAMSAP, 2011)

Myopic sparse image reconstruction with application to MRFM. - Se Un Park; Nicolas Dobigeon; Alfred O. Hero III (Computational Imaging, 2011)

Segmentation of ultrasound images using a spatially coherent generalized Rayleigh mixture model. - Marcelo Pereyra; Nicolas Dobigeon; Hadj Batatia; Jean-Yves Tourneret (EUSIPCO, 2011)

Supervised nonlinear spectral unmixing using a polynomial post nonlinear model for hyperspectral imagery. - Yoann Altmann; Abderrahim Halimi; Nicolas Dobigeon; Jean-Yves Tourneret (ICASSP, 2011)

A Bernoulli-Gaussian model for gene factor analysis. - Cecile Bazot; Nicolas Dobigeon; Jean-Yves Tourneret; Alfred O. Hero III (ICASSP, 2011)

Variational methods for spectral unmixing of hyperspectral images. - Olivier Eches; Nicolas Dobigeon; Jean-Yves Tourneret; Hichem Snoussi (ICASSP, 2011)

Labeling skin tissues in ultrasound images using a generalized Rayleigh mixture model. - Marcelo Pereyra; Nicolas Dobigeon; Hadj Batatia; Jean-Yves Tourneret (ICASSP, 2011)

Nonlinear unmixing of hyperspectral images using radial basis functions and orthogonal least squares. - Yoann Altmann; Nicolas Dobigeon; Jean-Yves Tourneret; Steve McLaughlin 001 (IGARSS, 2011)

A post nonlinear mixing model for hyperspectral images unmixing. - Yoann Altmann; Abderrahim Halimi; Nicolas Dobigeon; Jean-Yves Tourneret (IGARSS, 2011)

Unmixing hyperspectral images using the generalized bilinear model. - Abderrahim Halimi; Yoann Altmann; Nicolas Dobigeon; Jean-Yves Tourneret (IGARSS, 2011)

Bilinear models for nonlinear unmixing of hyperspectral images. - Yoann Altmann; Nicolas Dobigeon; Jean-Yves Tourneret (WHISPERS, 2011)

Joint spectral classification and unmixing using adaptative pixel neighborhoods. - Olivier Eches; Jón Atli Benediktsson; Nicolas Dobigeon; Jean-Yves Tourneret (WHISPERS, 2011)

Accuracy and performance of linear unmixing techniques for detecting minerals on OMEGA/Mars express. - Frédéric Schmidt; Sébastien Bourguignon; Stéphane Le Mouélic; Nicolas Dobigeon; Céline Theys; Erwan Tréguier (WHISPERS, 2011)

Enhancing Hyperspectral Image Unmixing With Spatial Correlations. - Olivier Eches; Nicolas Dobigeon; Jean-Yves Tourneret (IEEE Trans. Geosci. Remote. Sens., 2011)

Nonlinear Unmixing of Hyperspectral Images Using a Generalized Bilinear Model. - Abderrahim Halimi; Yoann Altmann; Nicolas Dobigeon; Jean-Yves Tourneret (IEEE Trans. Geosci. Remote. Sens., 2011)

Minimum Mean Square Distance Estimation of a Subspace. - Olivier Besson; Nicolas Dobigeon; Jean-Yves Tourneret (IEEE Trans. Signal Process., 2011)

Inférence bayésienne dans des problèmes inverses, myopes et aveugles en traitement du signal et des images. - Nicolas Dobigeon (2012)

Variational semi-blind sparse image reconstruction with application to MRFM. - Se Un Park; Nicolas Dobigeon; Alfred O. Hero III (Computational Imaging, 2012)

Bayesian linear unmixing of time-evolving gene expression data using a hidden Markov model. - Cecile Bazot; Nicolas Dobigeon; Jean-Yves Tourneret; Alfred O. Hero III (EUSIPCO, 2012)

Regularized Bayesian compressed sensing in ultrasound imaging. - Nicolas Dobigeon; Adrian Basarab; Denis Kouame; Jean-Yves Tourneret (EUSIPCO, 2012)

Unsupervised nonlinear unmixing of hyperspectral images using Gaussian processes. - Yoann Altmann; Nicolas Dobigeon; Steve McLaughlin 001; Jean-Yves Tourneret (ICASSP, 2012)

Bayesian subspace estimation using CS decomposition. - Olivier Besson; Nicolas Dobigeon; Jean-Yves Tourneret (ICASSP, 2012)

Detecting nonlinear mixtures in hyperspectral images. - Yoann Altmann; Nicolas Dobigeon; Jean-Yves Tourneret (WHISPERS, 2012)

Hyperspectral Unmixing Overview: Geometrical, Statistical, and Sparse Regression-Based Approaches. - José M. Bioucas-Dias; Antonio Plaza; Nicolas Dobigeon; Mario Parente; Qian Du 001; Paul D. Gader; Jocelyn Chanussot (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2012)

Supervised Nonlinear Spectral Unmixing Using a Postnonlinear Mixing Model for Hyperspectral Imagery. - Yoann Altmann; Abderrahim Halimi; Nicolas Dobigeon; Jean-Yves Tourneret (IEEE Trans. Image Process., 2012)

Semi-Blind Sparse Image Reconstruction With Application to MRFM. - Se Un Park; Nicolas Dobigeon; Alfred O. Hero III (IEEE Trans. Image Process., 2012)

Segmentation of Skin Lesions in 2-D and 3-D Ultrasound Images Using a Spatially Coherent Generalized Rayleigh Mixture Model. - Marcelo Pereyra; Nicolas Dobigeon; Hadj Batatia; Jean-Yves Tourneret (IEEE Trans. Medical Imaging, 2012)

CS Decomposition Based Bayesian Subspace Estimation. - Olivier Besson; Nicolas Dobigeon; Jean-Yves Tourneret (IEEE Trans. Signal Process., 2012)

Blind Deconvolution of Sparse Pulse Sequences Under a Minimum Distance Constraint: A Partially Collapsed Gibbs Sampler Method. - Georg Kail; Jean-Yves Tourneret; Franz Hlawatsch; Nicolas Dobigeon (IEEE Trans. Signal Process., 2012)

Hyperspectral Image Unmixing Using a Multiresolution Sticky HDP. - Roni Mittelman; Nicolas Dobigeon; Alfred O. Hero III (IEEE Trans. Signal Process., 2012)

Bayesian unsupervised unmixing of hyperspectral images using a post-nonlinear model. - Yoann Altmann; Nicolas Dobigeon; Jean-Yves Tourneret (EUSIPCO, 2013)

A robust test for nonlinear mixture detection in hyperspectral images. - Yoann Altmann; Nicolas Dobigeon; Jean-Yves Tourneret; José Carlos M. Bermudez (ICASSP, 2013)

Bayesian estimation for the multifractality parameter. - Herwig Wendt; Nicolas Dobigeon; Jean-Yves Tourneret; Patrice Abry (ICASSP, 2013)

Nonlinear hyperspectral unmixing using Gaussian processes. - Yoann Altmann; Nicolas Dobigeon; Jean-Yves Tourneret; Steve McLaughlin 001 (WHISPERS, 2013)

Robust nonnegative matrix factorization for nonlinear unmixing of hyperspectral images. - Nicolas Dobigeon; Cédric Févotte (WHISPERS, 2013)

Unsupervised Bayesian linear unmixing of gene expression microarrays. - Cecile Bazot; Nicolas Dobigeon; Jean-Yves Tourneret; Aimee K. Zaas; Geoffrey S. Ginsburg; Alfred O. Hero III (BMC Bioinform., 2013)

Nonlinearity Detection in Hyperspectral Images Using a Polynomial Post-Nonlinear Mixing Model. - Yoann Altmann; Nicolas Dobigeon; Jean-Yves Tourneret (IEEE Trans. Image Process., 2013)

Adaptive Markov Random Fields for Joint Unmixing and Segmentation of Hyperspectral Images. - Olivier Eches; Jón Atli Benediktsson; Nicolas Dobigeon; Jean-Yves Tourneret (IEEE Trans. Image Process., 2013)

Estimating the Granularity Coefficient of a Potts-Markov Random Field Within a Markov Chain Monte Carlo Algorithm. - Marcelo Pereyra; Nicolas Dobigeon; Hadj Batatia; Jean-Yves Tourneret (IEEE Trans. Image Process., 2013)

Nonlinear Spectral Unmixing of Hyperspectral Images Using Gaussian Processes. - Yoann Altmann; Nicolas Dobigeon; Steve McLaughlin 001; Jean-Yves Tourneret (IEEE Trans. Signal Process., 2013)

Hybrid bayesian variational scheme to handle parameter selection in total variation signal denoising. - Jordan Frécon; Nelly Pustelnik; Nicolas Dobigeon; Herwig Wendt; Patrice Abry (EUSIPCO, 2014)

Fusion of multispectral and hyperspectral images based on sparse representation. - Qi Wei 002; José M. Bioucas-Dias; Nicolas Dobigeon; Jean-Yves Tourneret (EUSIPCO, 2014)

Residual component analysis of hyperspectral images for joint nonlinear unmixing and nonlinearity detection. - Yoann Altmann; Nicolas Dobigeon; Steve McLaughlin 001; Jean-Yves Tourneret (ICASSP, 2014)

A hierarchical sparsity-smoothness Bayesian model for ℓ0 + ℓ1 + ℓ2 regularization. - Lotfi Chaâri; Hadj Batatia; Nicolas Dobigeon; Jean-Yves Tourneret (ICASSP, 2014)

Bayesian fusion of hyperspectral and multispectral images. - Qi Wei 002; Nicolas Dobigeon; Jean-Yves Tourneret (ICASSP, 2014)

Inverse problem formulation for regularity estimation in images. - Nelly Pustelnik; Patrice Abry; Herwig Wendt; Nicolas Dobigeon (ICIP, 2014)

Bayesian fusion of multispectral and hyperspectral images with unknown sensor spectral response. - Qi Wei 002; Nicolas Dobigeon; Jean-Yves Tourneret (ICIP, 2014)

Sampling from a multivariate Gaussian distribution truncated on a simplex: A review. - Yoann Altmann; Steve McLaughlin 001; Nicolas Dobigeon (SSP, 2014)

Nonlinear unmixing of vegetated areas: A model comparison based on simulated and real hyperspectral data. - Nicolas Dobigeon; Laurent Tits; Ben Somers; Yoann Altmann; Pol Coppin (WHISPERS, 2014)

Proceedings of the second "international Traveling Workshop on Interactions between Sparse models and Technology" (iTWIST'14). - Laurent Jacques; Christophe De Vleeschouwer; Yannick Boursier; Prasad Sudhakar; C. De Mol; Aleksandra Pizurica; Sandrine Anthoine; Pierre Vandergheynst; Pascal Frossard; Cagdas Bilen; Srdan Kitic; Nancy Bertin; et al. (CoRR, 2014)

Variational semi-blind sparse deconvolution with orthogonal kernel bases and its application to MRFM. - Se Un Park; Nicolas Dobigeon; Alfred O. Hero III (Signal Process., 2014)

Computing the Cramer-Rao Bound of Markov Random Field Parameters: Application to the Ising and the Potts Models. - Marcelo Pereyra; Nicolas Dobigeon; Hadj Batatia; Jean-Yves Tourneret (IEEE Signal Process. Lett., 2014)

Nonlinear Unmixing of Hyperspectral Images: Models and Algorithms. - Nicolas Dobigeon; Jean-Yves Tourneret; Cédric Richard; José C. M. Bermudez; Steve McLaughlin 001; Alfred O. Hero III (IEEE Signal Process. Mag., 2014)

A Comparison of Nonlinear Mixing Models for Vegetated Areas Using Simulated and Real Hyperspectral Data. - Nicolas Dobigeon; Laurent Tits; Ben Somers; Yoann Altmann; Pol Coppin (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2014)

Residual Component Analysis of Hyperspectral Images - Application to Joint Nonlinear Unmixing and Nonlinearity Detection. - Yoann Altmann; Nicolas Dobigeon; Steve McLaughlin 001; Jean-Yves Tourneret (IEEE Trans. Image Process., 2014)

Unsupervised Post-Nonlinear Unmixing of Hyperspectral Images Using a Hamiltonian Monte Carlo Algorithm. - Yoann Altmann; Nicolas Dobigeon; Jean-Yves Tourneret (IEEE Trans. Image Process., 2014)

Fuse: A fast multi-band image fusion algorithm. - Qi Wei 002; Nicolas Dobigeon; Jean-Yves Tourneret (CAMSAP, 2015)

Unmixing multitemporal hyperspectral images accounting for endmember variability. - Abderrahim Halimi; Nicolas Dobigeon; Jean-Yves Tourneret; Steve McLaughlin 001; Paul Honeine (EUSIPCO, 2015)

A perturbed linear mixing model accounting for spectral variability. - Pierre-Antoine Thouvenin; Nicolas Dobigeon; Jean-Yves Tourneret (EUSIPCO, 2015)

A Bayesian approach for the joint estimation of the multifractality parameter and integral scale based on the Whittle approximation. - Sébastien Combrexelle; Herwig Wendt; Patrice Abry; Nicolas Dobigeon; Stephen McLaughlin 001; Jean-Yves Tourneret (ICASSP, 2015)

A new Bayesian unmixing algorithm for hyperspectral images mitigating endmember variability. - Abderrahim Halimi; Nicolas Dobigeon; Jean-Yves Tourneret; Paul Honeine (ICASSP, 2015)

Hyperspectral unmixing accounting for spatial correlations and endmember variability. - Abderrahim Halimi; Nicolas Dobigeon; Jean-Yves Tourneret; Paul Honeine (WHISPERS, 2015)

Bayesian fusion of multispectral and hyperspectral images using a block coordinate descent method. - Qi Wei 002; Nicolas Dobigeon; Jean-Yves Tourneret (WHISPERS, 2015)

Hyperspectral pansharpening: a review. - Laëtitia Loncan; Luís B. Almeida; José M. Bioucas-Dias; Xavier Briottet; Jocelyn Chanussot; Nicolas Dobigeon; Sophie Fabre; Wenzhi Liao; Giorgio A. Licciardi; Miguel Simões; Jean-Yves Tourneret; Miguel Angel Veganzones; et al. (CoRR, 2015)

Local regularity, wavelet leaders and total variation based procedures for texture segmentation. - Nelly Pustelnik; Herwig Wendt; Patrice Abry; Nicolas Dobigeon (CoRR, 2015)

Fast Spectral Unmixing based on Dykstra's Alternating Projection. - Qi Wei 002; José M. Bioucas-Dias; Nicolas Dobigeon; Jean-Yves Tourneret (CoRR, 2015)

Toward Fast Transform Learning. - Olivier Chabiron; François Malgouyres; Jean-Yves Tourneret; Nicolas Dobigeon (Int. J. Comput. Vis., 2015)

Bayesian Fusion of Multi-Band Images. - Qi Wei 002; Nicolas Dobigeon; Jean-Yves Tourneret (IEEE J. Sel. Top. Signal Process., 2015)

Hyperspectral and Multispectral Image Fusion Based on a Sparse Representation. - Qi Wei 002; José M. Bioucas-Dias; Nicolas Dobigeon; Jean-Yves Tourneret (IEEE Trans. Geosci. Remote. Sens., 2015)

Bayesian Estimation of the Multifractality Parameter for Image Texture Using a Whittle Approximation. - Sébastien Combrexelle; Herwig Wendt; Nicolas Dobigeon; Jean-Yves Tourneret; Stephen McLaughlin 001; Patrice Abry (IEEE Trans. Image Process., 2015)

Nonlinear Hyperspectral Unmixing With Robust Nonnegative Matrix Factorization. - Cédric Févotte; Nicolas Dobigeon (IEEE Trans. Image Process., 2015)

Unsupervised Unmixing of Hyperspectral Images Accounting for Endmember Variability. - Abderrahim Halimi; Nicolas Dobigeon; Jean-Yves Tourneret (IEEE Trans. Image Process., 2015)

Fast Fusion of Multi-Band Images Based on Solving a Sylvester Equation. - Qi Wei 002; Nicolas Dobigeon; Jean-Yves Tourneret (IEEE Trans. Image Process., 2015)

High-resolution hyperspectral image fusion based on spectral unmixing. - Qi Wei 002; Simon J. Godsill; José M. Bioucas-Dias; Nicolas Dobigeon; Jean-Yves Tourneret (FUSION, 2016)

Unmixing multitemporal hyperspectral images with variability: An online algorithm. - Pierre-Antoine Thouvenin; Nicolas Dobigeon; Jean-Yves Tourneret (ICASSP, 2016)

Blind model-based fusion of multi-band and panchromatic images. - Qi Wei 002; José M. Bioucas-Dias; Nicolas Dobigeon; Jean-Yves Tourneret; Simon J. Godsill (MFI, 2016)

Democratic prior for anti-sparse coding. - Clement Elvira; Pierre Chainais; Nicolas Dobigeon (SSP, 2016)

Joint segmentation of multiple images with shared classes: A Bayesian nonparametrics approach. - Jessica Sodjo; Audrey Giremus; François Caron; Jean-François Giovannelli; Nicolas Dobigeon (SSP, 2016)

Robust Fusion of Multi-Band Images with Different Spatial and Spectral Resolutions for Change Detection. - Vinicius Ferraris; Nicolas Dobigeon; Qi Wei 002; Marie Chabert (CoRR, 2016)

Bayesian selection for the regularization parameter in TVl0 denoising problems. - Jordan Frécon; Nelly Pustelnik; Nicolas Dobigeon; Herwig Wendt; Patrice Abry (CoRR, 2016)

Multi-Band Image Fusion Based on Spectral Unmixing. - Qi Wei 002; José M. Bioucas-Dias; Nicolas Dobigeon; Jean-Yves Tourneret; Marcus Chen; Simon J. Godsill (CoRR, 2016)

R-FUSE: Robust Fast Fusion of Multi-Band Images Based on Solving a Sylvester Equation. - Qi Wei 002; Nicolas Dobigeon; Jean-Yves Tourneret; José M. Bioucas-Dias; Simon J. Godsill (CoRR, 2016)

R-FUSE: Robust Fast Fusion of Multiband Images Based on Solving a Sylvester Equation. - Qi Wei 002; Nicolas Dobigeon; Jean-Yves Tourneret; José M. Bioucas-Dias; Simon J. Godsill (IEEE Signal Process. Lett., 2016)

Combining Local Regularity Estimation and Total Variation Optimization for Scale-Free Texture Segmentation. - Nelly Pustelnik; Herwig Wendt; Patrice Abry; Nicolas Dobigeon (IEEE Trans. Computational Imaging, 2016)

Multiband Image Fusion Based on Spectral Unmixing. - Qi Wei 002; José M. Bioucas-Dias; Nicolas Dobigeon; Jean-Yves Tourneret; Marcus Chen; Simon J. Godsill (IEEE Trans. Geosci. Remote. Sens., 2016)

Detection and Correction of Glitches in a Multiplexed Multichannel Data Stream - Application to the MADRAS Instrument. - Herwig Wendt; Nicolas Dobigeon; Jean-Yves Tourneret; Mathieu Albinet; Christophe Goldstein; Nadia Karouche (IEEE Trans. Geosci. Remote. Sens., 2016)

Online Unmixing of Multitemporal Hyperspectral Images Accounting for Spectral Variability. - Pierre-Antoine Thouvenin; Nicolas Dobigeon; Jean-Yves Tourneret (IEEE Trans. Image Process., 2016)

Fast Single Image Super-Resolution Using a New Analytical Solution for ℓ2-ℓ2 Problems. - Ningning Zhao; Qi Wei 002; Adrian Basarab; Nicolas Dobigeon; Denis Kouame; Jean-Yves Tourneret (IEEE Trans. Image Process., 2016)

Hyperspectral Unmixing With Spectral Variability Using a Perturbed Linear Mixing Model. - Pierre-Antoine Thouvenin; Nicolas Dobigeon; Jean-Yves Tourneret (IEEE Trans. Signal Process., 2016)

Unmixing dynamic PET images with a PALM algorithm. - Yanna Cruz Cavalcanti; Thomas Oberlin; Nicolas Dobigeon; Clovis Tauber (EUSIPCO, 2017)

Unmixing multitemporal hyperspectral images accounting for smooth and abrupt variations. - Pierre-Antoine Thouvenin; Nicolas Dobigeon; Jean-Yves Tourneret (EUSIPCO, 2017)

Bayesian nonparametric subspace estimation. - Clement Elvira; Pierre Chainais; Nicolas Dobigeon (ICASSP, 2017)

Change detection between multi-band images using a robust fusion-based approach. - Vinicius Ferraris; Nicolas Dobigeon; Qi Wei 002; Marie Chabert (ICASSP, 2017)

Bayesian-driven criterion to automatically select the regularization parameter in the ℓ1-Potts model. - Jordan Frécon; Nelly Pustelnik; Nicolas Dobigeon; Herwig Wendt; Patrice Abry (ICASSP, 2017)

Fast hyperspectral unmixing in presence of sparse multiple scattering nonlinearities. - Abderrahim Halimi; José M. Bioucas-Dias; Nicolas Dobigeon; Gerald S. Buller; Steve McLaughlin 001 (ICASSP, 2017)

A generalized Swendsen-Wang algorithm for Bayesian nonparametric joint segmentation of multiple images. - Jessica Sodjo; Audrey Giremus; Nicolas Dobigeon; Jean-François Giovannelli (ICASSP, 2017)

Unmixing dynamic PET images for voxel-based kinetic component analysis. - Yanna Cruz Cavalcanti; Thomas Oberlin; Nicolas Dobigeon; Simon Stute; Maria Ribeiro; Clovis Tauber (CoRR, 2017)

A Split-and-Merge Approach for Hyperspectral Band Selection. - Shaheera Rashwan; Nicolas Dobigeon (IEEE Geosci. Remote. Sens. Lett., 2017)

Robust Fusion of Multiband Images With Different Spatial and Spectral Resolutions for Change Detection. - Vinicius Ferraris; Nicolas Dobigeon; Qi Wei 002; Marie Chabert (IEEE Trans. Computational Imaging, 2017)

Fast Hyperspectral Unmixing in Presence of Nonlinearity or Mismodeling Effects. - Abderrahim Halimi; José M. Bioucas-Dias; Nicolas Dobigeon; Gerald S. Buller; Stephen McLaughlin 001 (IEEE Trans. Computational Imaging, 2017)

Bayesian Antisparse Coding. - Clement Elvira; Pierre Chainais; Nicolas Dobigeon (IEEE Trans. Signal Process., 2017)

Bayesian Selection for the ℓ2-Potts Model Regularization Parameter: 1-D Piecewise Constant Signal Denoising. - Jordan Frécon; Nelly Pustelnik; Nicolas Dobigeon; Herwig Wendt; Patrice Abry (IEEE Trans. Signal Process., 2017)

A Bayesian Model for Joint Unmixing and Robust Classification of Hyperspectral Images. - Adrien Lagrange; Mathieu Fauvel; Stéphane May; Nicolas Dobigeon (ICASSP, 2018)

A Comparative Study of Fusion-Based Change Detection Methods for Multi-Band Images with Different Spectral and Spatial Resolutions. - Vinicius Ferraris; Naoto Yokoya; Nicolas Dobigeon; Marie Chabert (IGARSS, 2018)

Lidar-Driven Spatial Regularization for Hyperspectral Unmixing. - Tatsumi Uezato; Mathieu Fauvel; Nicolas Dobigeon (IGARSS, 2018)

Sparse Bayesian Binary logistic Regression using the Split-and-Augmented Gibbs sampler. - Maxime Vono; Nicolas Dobigeon; Pierre Chainais (MLSP, 2018)

Reconstruction Of Partially Sampled EELS Images. - Étienne Monier; Thomas Oberlin; Nathalie Brun; Marcel Tencé; Maria de Frutos; Nicolas Dobigeon (WHISPERS, 2018)

A multiple endmember mixing model to handle spectral variability in hyperspectral unmixing. - Tatsumi Uezato; Mathieu Fauvel; Nicolas Dobigeon (WHISPERS, 2018)

Reconstruction of partially sampled multi-band images - Application to STEM-EELS imaging. - Étienne Monier; Thomas Oberlin; Nathalie Brun; Marcel Tencé; Marta de Frutos; Nicolas Dobigeon (CoRR, 2018)

Coupled dictionary learning for unsupervised change detection between multi-sensor remote sensing images. - Vinicius Ferraris; Nicolas Dobigeon; Yanna Cruz Cavalcanti; Thomas Oberlin; Marie Chabert (CoRR, 2018)

Factor analysis of dynamic PET images: beyond Gaussian noise. - Yanna Cruz Cavalcanti; Thomas Oberlin; Nicolas Dobigeon; Simon Stute; Maria-Joao Ribeiro; Clovis Tauber (CoRR, 2018)

Unmixing dynamic PET images with variable specific binding kinetics. - Yanna Cruz Cavalcanti; Thomas Oberlin; Nicolas Dobigeon; Simon Stute; Maria Ribeiro; Clovis Tauber (Medical Image Anal., 2018)

Foreword to the Special Issue on Quality Improvements of Remote Sensing Data. - Huanfeng Shen; Xiuping Jia; José M. Bioucas-Dias; Nicolas Dobigeon; Yi Cui; Fabio Pacifici (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2018)

Reconstruction of Partially Sampled Multiband Images - Application to STEM-EELS Imaging. - Étienne Monier; Thomas Oberlin; Nathalie Brun; Marcel Tencé; Marta de Frutos; Nicolas Dobigeon (IEEE Trans. Computational Imaging, 2018)

A Hierarchical Bayesian Model Accounting for Endmember Variability and Abrupt Spectral Changes to Unmix Multitemporal Hyperspectral Images. - Pierre-Antoine Thouvenin; Nicolas Dobigeon; Jean-Yves Tourneret (IEEE Trans. Computational Imaging, 2018)

Detecting Changes Between Optical Images of Different Spatial and Spectral Resolutions: A Fusion-Based Approach. - Vinicius Ferraris; Nicolas Dobigeon; Qi Wei 002; Marie Chabert (IEEE Trans. Geosci. Remote. Sens., 2018)

Hyperspectral Image Unmixing With LiDAR Data-Aided Spatial Regularization. - Tatsumi Uezato; Mathieu Fauvel; Nicolas Dobigeon (IEEE Trans. Geosci. Remote. Sens., 2018)

Data Set: Hyperspectral image unmixing with LiDAR data-aided spatial regularization. - Tatsumi Uezato; Mathieu Fauvel; Nicolas Dobigeon (Zenodo, 2018)

Matrix Cofactorization for Joint Unmixing and Classification of Hyperspectral Images. - Adrien Lagrange; Mathieu Fauvel; Stéphane May; José M. Bioucas-Dias; Nicolas Dobigeon (EUSIPCO, 2019)

Unmixing Dynamic Pet Images: Combining Spatial Heterogeneity and Non-gaussian Noise. - Yanna Cruz Cavalcanti; Thomas Oberlin; Nicolas Dobigeon; Cédric Févotte; Simon Stute; Clovis Tauber (ICASSP, 2019)

Bayesian Image Restoration under Poisson Noise and Log-concave Prior. - Maxime Vono; Nicolas Dobigeon; Pierre Chainais (ICASSP, 2019)

Efficient Sampling through Variable Splitting-inspired Bayesian Hierarchical Models. - Maxime Vono; Nicolas Dobigeon; Pierre Chainais (ICASSP, 2019)

A Bayesian Nonparametric Model for Unsupervised Joint Segmentation of a Collection of Images. - Jessica Sodjo; Audrey Giremus; Nicolas Dobigeon; François Caron (IEEE Access, 2019)

Coupled dictionary learning for unsupervised change detection between multimodal remote sensing images. - Vinicius Ferraris; Nicolas Dobigeon; Yanna Cruz Cavalcanti; Thomas Oberlin; Marie Chabert (Comput. Vis. Image Underst., 2019)

Non-linear unmixing of hyperspectral images using multiple-kernel self-organising maps. - Shaheera Rashwan; Nicolas Dobigeon; Walaa M. Sheta; Hanan A. Hassan (IET Image Process., 2019)

Hierarchical Bayesian image analysis: From low-level modeling to robust supervised learning. - Adrien Lagrange; Mathieu Fauvel; Stéphane May; Nicolas Dobigeon (Pattern Recognit., 2019)

Partially Asynchronous Distributed Unmixing of Hyperspectral Images. - Pierre-Antoine Thouvenin; Nicolas Dobigeon; Jean-Yves Tourneret (IEEE Trans. Geosci. Remote. Sens., 2019)

Hyperspectral Unmixing With Spectral Variability Using Adaptive Bundles and Double Sparsity. - Tatsumi Uezato; Mathieu Fauvel; Nicolas Dobigeon (IEEE Trans. Geosci. Remote. Sens., 2019)

Factor Analysis of Dynamic PET Images: Beyond Gaussian Noise. - Yanna Cruz Cavalcanti; Thomas Oberlin; Nicolas Dobigeon; Cédric Févotte; Simon Stute; Maria-Joao Ribeiro; Clovis Tauber (IEEE Trans. Medical Imaging, 2019)

Split-and-Augmented Gibbs Sampler - Application to Large-Scale Inference Problems. - Maxime Vono; Nicolas Dobigeon; Pierre Chainais (IEEE Trans. Signal Process., 2019)

Successive Nonnegative Projection Algorithm for Linear Quadratic Mixtures. - Christophe Kervazo; Nicolas Gillis; Nicolas Dobigeon (EUSIPCO, 2020)

Unsupervised Change Detection for Multimodal Remote Sensing Images via Coupled Dictionary Learning and Sparse Coding. - Vinicius Ferraris; Nicolas Dobigeon; Yanna Cruz Cavalcanti; Thomas Oberlin; Marie Chabert (ICASSP, 2020)

Fusion of hyperspectral and multispectral infrared astronomical images. - Claire Guilloteau; Thomas Oberlin; Olivier Berné; Nicolas Dobigeon (SAM, 2020)

Fast reconstruction of atomic-scale STEM-EELS images from sparse sampling. - Étienne Monier; Thomas Oberlin; Nathalie Brun; Xiaoyan Li; Marcel Tencé; Nicolas Dobigeon (CoRR, 2020)

Matrix cofactorization for joint representation learning and supervised classification - Application to hyperspectral image analysis. - Adrien Lagrange; Mathieu Fauvel; Stéphane May; José M. Bioucas-Dias; Nicolas Dobigeon (Neurocomputing, 2020)

Robust fusion algorithms for unsupervised change detection between multi-band optical images - A comprehensive case study. - Vinicius Ferraris; Nicolas Dobigeon; Marie Chabert (Inf. Fusion, 2020)

Hierarchical Sparse Nonnegative Matrix Factorization for Hyperspectral Unmixing with Spectral Variability. - Tatsumi Uezato; Mathieu Fauvel; Nicolas Dobigeon (Remote. Sens., 2020)

Hyperspectral and Multispectral Image Fusion Under Spectrally Varying Spatial Blurs - Application to High Dimensional Infrared Astronomical Imaging. - Claire Guilloteau; Thomas Oberlin; Olivier Berné; Nicolas Dobigeon (IEEE Trans. Computational Imaging, 2020)

Matrix Cofactorization for Joint Spatial-Spectral Unmixing of Hyperspectral Images. - Adrien Lagrange; Mathieu Fauvel; Stéphane May; Nicolas Dobigeon (IEEE Trans. Geosci. Remote. Sens., 2020)

Asymptotically Exact Data Augmentation: Models, Properties, and Algorithms. - Maxime Vono; Nicolas Dobigeon; Pierre Chainais (J. Comput. Graph. Stat., 2021)

Provably Robust Blind Source Separation of Linear-Quadratic Near-Separable Mixtures. - Christophe Kervazo; Nicolas Gillis; Nicolas Dobigeon (SIAM J. Imaging Sci., 2021)

Sliced-Wasserstein normalizing flows: beyond maximum likelihood training. - Florentin Coeurdoux; Nicolas Dobigeon; Pierre Chainais (ESANN, 2022)

A Bayesian Estimation Formulation to Voxel-Based Lesion-Symptom Mapping. - Mame Diarra Fall; Nicolas Dobigeon; Pascal Auzou (EUSIPCO, 2022)

Informed Spatial Regularizations For Fast Fusion Of Astronomical Images. - Claire Guilloteau; Thomas Oberlin; Olivier Berné; Nicolas Dobigeon (ICIP, 2022)

Learning Optimal Transport Between Two Empirical Distributions with Normalizing Flows. - Florentin Coeurdoux; Nicolas Dobigeon; Pierre Chainais (ECML/PKDD (5), 2022)

CD-GAN: a robust fusion-based generative adversarial network for unsupervised change detection between heterogeneous images. - Jin-Ju Wang; Nicolas Dobigeon; Marie Chabert; Ding-Cheng Wang; Jie Huang 005; Ting-Zhu Huang (CoRR, 2022)

Weighted Residual NMF With Spatial Regularization for Hyperspectral Unmixing. - Taner Ince; Nicolas Dobigeon (IEEE Geosci. Remote. Sens. Lett., 2022)

Fast Hyperspectral Unmixing Using a Multiscale Sparse Regularization. - Taner Ince; Nicolas Dobigeon (IEEE Geosci. Remote. Sens. Lett., 2022)

High-Dimensional Gaussian Sampling: A Review and a Unifying Approach Based on a Stochastic Proximal Point Algorithm. - Maxime Vono; Nicolas Dobigeon; Pierre Chainais (SIAM Rev., 2022)

A 3-D-CNN Framework for Hyperspectral Unmixing With Spectral Variability. - Min Zhao; Shuaikai Shi; Jie Chen 022; Nicolas Dobigeon (IEEE Trans. Geosci. Remote. Sens., 2022)

A Fast Spatial-Spectral NMF for Hyperspectral Unmixing. - Taner Ince; Nicolas Dobigeon (IEEE Geosci. Remote. Sens. Lett., 2023)

Spatial-Spectral Multiscale Sparse Unmixing for Hyperspectral Images. - Taner Ince; Nicolas Dobigeon (IEEE Geosci. Remote. Sens. Lett., 2023)

Compartment model-based nonlinear unmixing for kinetic analysis of dynamic PET images. - Yanna Cruz Cavalcanti; Thomas Oberlin; Vinicius Ferraris; Nicolas Dobigeon; Maria Ribeiro; Clovis Tauber (Medical Image Anal., 2023)

Probabilistic Simplex Component Analysis by Importance Sampling. - Nerya Granot; Tzvi Diskin; Nicolas Dobigeon; Ami Wiesel (IEEE Signal Process. Lett., 2023)

Guided Deep Generative Model-Based Spatial Regularization for Multiband Imaging Inverse Problems. - Min Zhao; Nicolas Dobigeon; Jie Chen 022 (IEEE Trans. Image Process., 2023)

Bayesian Formulation of Regularization by Denoising - Model and Monte Carlo Sampling. - Elhadji C. Faye; Mame Diarra Fall; Aladine Chetouani; Nicolas Dobigeon (MMSP, 2024)

On-the-Fly Spectral Unmixing for Real-Time Hyperspectral Data Analysis. - Hugues Kouakou; José Henrique de Morais Goulart; Raffaele Vitale; Thomas Oberlin; David Rousseau; Cyril Ruckebusch; Nicolas Dobigeon (WHISPERS, 2024)

RFI-DRUnet: Restoring dynamic spectra corrupted by radio frequency interference - Application to pulsar observations. - Xiao Zhang; Ismaël Cognard; Nicolas Dobigeon (Astron. Comput., 2024)

CD-GAN: A robust fusion-based generative adversarial network for unsupervised remote sensing change detection with heterogeneous sensors. - Jin-Ju Wang; Nicolas Dobigeon; Marie Chabert; Ding-Cheng Wang; Ting-Zhu Huang; Jie Huang 005 (Inf. Fusion, 2024)

AE-RED: A Hyperspectral Unmixing Framework Powered by Deep Autoencoder and Regularization by Denoising. - Min Zhao; Jie Chen 022; Nicolas Dobigeon (IEEE Trans. Geosci. Remote. Sens., 2024)

Plug-and-Play Split Gibbs Sampler: Embedding Deep Generative Priors in Bayesian Inference. - Florentin Coeurdoux; Nicolas Dobigeon; Pierre Chainais (IEEE Trans. Image Process., 2024)

Normalizing flow sampling with Langevin dynamics in the latent space. - Florentin Coeurdoux; Nicolas Dobigeon; Pierre Chainais (Mach. Learn., 2024)

Regularization by Denoising: Bayesian Model and Langevin-Within-Split Gibbs Sampling. - Elhadji C. Faye; Mame Diarra Fall; Nicolas Dobigeon (IEEE Trans. Image Process., 2025)

Determined Blind Source Separation with Sinkhorn Divergence-based Optimal Allocation of the Source Power. - Jianyu Wang; Shanzheng Guan; Nicolas Dobigeon; Jingdong Chen (CoRR, 2025)

Joint Tensor and Inter-View Low-Rank Recovery for Incomplete Multiview Clustering. - Jianyu Wang; Zhengqiao Zhao; Nicolas Dobigeon; Jingdong Chen (CoRR, 2025)

Determined blind source separation via modeling adjacent frequency band correlations in speech signals. - Jianyu Wang; Shanzheng Guan; Zhengqiao Zhao; Nicolas Dobigeon; Jingdong Chen (CoRR, 2025)