Nicolas Dobigeon

ORCID

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 101

Top Venues

CoRR

ICASSP

IEEE Trans. Geosci. Remote. Sens.

IEEE Trans. Image Process.

Publications

Xiao Zhang, Ismaël Cognard, Nicolas Dobigeon
RFI-DRUnet: Restoring dynamic spectra corrupted by radio frequency interference - Application to pulsar observations. CoRR (2024)
Elhadji C. Faye, Mame Diarra Fall, Nicolas Dobigeon
Regularization by denoising: Bayesian model and Langevin-within-split Gibbs sampling. CoRR (2024)
Jin-Ju Wang, Nicolas Dobigeon, Marie Chabert, Ding-Cheng Wang, Ting-Zhu Huang, Jie Huang
CD-GAN: A robust fusion-based generative adversarial network for unsupervised remote sensing change detection with heterogeneous sensors. Inf. Fusion 107 (2024)
Xiao Zhang, Ismaël Cognard, Nicolas Dobigeon
RFI-DRUnet: Restoring dynamic spectra corrupted by radio frequency interference - Application to pulsar observations. Astron. Comput. 47 (2024)
Min Zhao, Jie Chen, Nicolas Dobigeon
AE-RED: A Hyperspectral Unmixing Framework Powered by Deep Autoencoder and Regularization by Denoising. IEEE Trans. Geosci. Remote. Sens. 62 (2024)
Florentin Coeurdoux, Nicolas Dobigeon, Pierre Chainais
Plug-and-Play Split Gibbs Sampler: Embedding Deep Generative Priors in Bayesian Inference. IEEE Trans. Image Process. 33 (2024)
Min Zhao, Nicolas Dobigeon, Jie Chen
Guided Deep Generative Model-Based Spatial Regularization for Multiband Imaging Inverse Problems. IEEE Trans. Image Process. 32 (2023)
Florentin Coeurdoux, Nicolas Dobigeon, Pierre Chainais
Normalizing flow sampling with Langevin dynamics in the latent space. CoRR (2023)
Taner Ince, Nicolas Dobigeon
A Fast Spatial-Spectral NMF for Hyperspectral Unmixing. IEEE Geosci. Remote. Sens. Lett. 20 (2023)
Min Zhao, Jie Chen, Nicolas Dobigeon
AE-RED: A Hyperspectral Unmixing Framework Powered by Deep Autoencoder and Regularization by Denoising. CoRR (2023)
Nerya Granot, Tzvi Diskin, Nicolas Dobigeon, Ami Wiesel
Probabilistic Simplex Component Analysis by Importance Sampling. IEEE Signal Process. Lett. 30 (2023)
Florentin Coeurdoux, Nicolas Dobigeon, Pierre Chainais
Plug-and-Play split Gibbs sampler: embedding deep generative priors in Bayesian inference. CoRR (2023)
Min Zhao, Nicolas Dobigeon, Jie Chen
Guided Deep Generative Model-based Spatial Regularization for Multiband Imaging Inverse Problems. CoRR (2023)
Taner Ince, Nicolas Dobigeon
Spatial-Spectral Multiscale Sparse Unmixing for Hyperspectral Images. IEEE Geosci. Remote. Sens. Lett. 20 (2023)
Yanna Cruz Cavalcanti, Thomas Oberlin, Vinicius Ferraris, Nicolas Dobigeon, Maria Ribeiro, Clovis Tauber
Compartment model-based nonlinear unmixing for kinetic analysis of dynamic PET images. Medical Image Anal. 84 (2023)
Taner Ince, Nicolas Dobigeon
Fast Hyperspectral Unmixing Using a Multiscale Sparse Regularization. IEEE Geosci. Remote. Sens. Lett. 19 (2022)
Maxime Vono, Nicolas Dobigeon, Pierre Chainais
High-Dimensional Gaussian Sampling: A Review and a Unifying Approach Based on a Stochastic Proximal Point Algorithm. SIAM Rev. 64 (1) (2022)
Florentin Coeurdoux, Nicolas Dobigeon, Pierre Chainais
Sliced-Wasserstein normalizing flows: beyond maximum likelihood training. ESANN (2022)
Florentin Coeurdoux, Nicolas Dobigeon, Pierre Chainais
Learning Optimal Transport Between Two Empirical Distributions with Normalizing Flows. ECML/PKDD (5) (2022)
Taner Ince, Nicolas Dobigeon
Weighted Residual NMF With Spatial Regularization for Hyperspectral Unmixing. IEEE Geosci. Remote. Sens. Lett. 19 (2022)
Florentin Coeurdoux, Nicolas Dobigeon, Pierre Chainais
Learning Optimal Transport Between two Empirical Distributions with Normalizing Flows. CoRR (2022)
Mame Diarra Fall, Nicolas Dobigeon, Pascal Auzou
A Bayesian Estimation Formulation to Voxel-Based Lesion-Symptom Mapping. EUSIPCO (2022)
Jin-Ju Wang, Nicolas Dobigeon, Marie Chabert, Ding-Cheng Wang, Jie Huang, Ting-Zhu Huang
CD-GAN: a robust fusion-based generative adversarial network for unsupervised change detection between heterogeneous images. CoRR (2022)
Claire Guilloteau, Thomas Oberlin, Olivier Berné, Nicolas Dobigeon
Informed Spatial Regularizations For Fast Fusion Of Astronomical Images. ICIP (2022)
Min Zhao, Shuaikai Shi, Jie Chen, Nicolas Dobigeon
A 3-D-CNN Framework for Hyperspectral Unmixing With Spectral Variability. IEEE Trans. Geosci. Remote. Sens. 60 (2022)
Florentin Coeurdoux, Nicolas Dobigeon, Pierre Chainais
Sliced-Wasserstein normalizing flows: beyond maximum likelihood training. CoRR (2022)
Maxime Vono, Nicolas Dobigeon, Pierre Chainais
Asymptotically Exact Data Augmentation: Models, Properties, and Algorithms. J. Comput. Graph. Stat. 30 (2) (2021)
Christophe Kervazo, Nicolas Gillis, Nicolas Dobigeon
Provably Robust Blind Source Separation of Linear-Quadratic Near-Separable Mixtures. SIAM J. Imaging Sci. 14 (4) (2021)
Adrien Lagrange, Mathieu Fauvel, Stéphane May, José M. Bioucas-Dias, Nicolas Dobigeon
Matrix cofactorization for joint representation learning and supervised classification - Application to hyperspectral image analysis. Neurocomputing 385 (2020)
Tatsumi Uezato, Mathieu Fauvel, Nicolas Dobigeon
Hierarchical Sparse Nonnegative Matrix Factorization for Hyperspectral Unmixing with Spectral Variability. Remote. Sens. 12 (14) (2020)
Claire Guilloteau, Thomas Oberlin, Olivier Berné, Nicolas Dobigeon
Hyperspectral and Multispectral Image Fusion Under Spectrally Varying Spatial Blurs - Application to High Dimensional Infrared Astronomical Imaging. IEEE Trans. Computational Imaging 6 (2020)
Adrien Lagrange, Mathieu Fauvel, Stéphane May, Nicolas Dobigeon
Matrix Cofactorization for Joint Spatial-Spectral Unmixing of Hyperspectral Images. IEEE Trans. Geosci. Remote. Sens. 58 (7) (2020)
Vinicius Ferraris, Nicolas Dobigeon, Yanna Cruz Cavalcanti, Thomas Oberlin, Marie Chabert
Unsupervised Change Detection for Multimodal Remote Sensing Images via Coupled Dictionary Learning and Sparse Coding. ICASSP (2020)
Étienne Monier, Thomas Oberlin, Nathalie Brun, Xiaoyan Li, Marcel Tencé, Nicolas Dobigeon
Fast reconstruction of atomic-scale STEM-EELS images from sparse sampling. CoRR (2020)
Christophe Kervazo, Nicolas Gillis, Nicolas Dobigeon
Successive Nonnegative Projection Algorithm for Linear Quadratic Mixtures. EUSIPCO (2020)
Claire Guilloteau, Thomas Oberlin, Olivier Berné, Nicolas Dobigeon
Fusion of hyperspectral and multispectral infrared astronomical images. SAM (2020)
Vinicius Ferraris, Nicolas Dobigeon, Marie Chabert
Robust fusion algorithms for unsupervised change detection between multi-band optical images - A comprehensive case study. Inf. Fusion 64 (2020)
Christophe Kervazo, Nicolas Gillis, Nicolas Dobigeon
Provably robust blind source separation of linear-quadratic near-separable mixtures. CoRR (2020)
Pierre-Antoine Thouvenin, Nicolas Dobigeon, Jean-Yves Tourneret
Partially Asynchronous Distributed Unmixing of Hyperspectral Images. IEEE Trans. Geosci. Remote. Sens. 57 (4) (2019)
Adrien Lagrange, Mathieu Fauvel, Stéphane May, José M. Bioucas-Dias, Nicolas Dobigeon
Matrix Cofactorization for Joint Representation Learning and Supervised Classification - Application to Hyperspectral Image Analysis. CoRR (2019)
Maxime Vono, Nicolas Dobigeon, Pierre Chainais
Split-and-Augmented Gibbs Sampler - Application to Large-Scale Inference Problems. IEEE Trans. Signal Process. 67 (6) (2019)
Adrien Lagrange, Mathieu Fauvel, Stéphane May, Nicolas Dobigeon
Matrix cofactorization for joint spatial-spectral unmixing of hyperspectral images. CoRR (2019)
Yanna Cruz Cavalcanti, Thomas Oberlin, Nicolas Dobigeon, Cédric Févotte, Simon Stute, Maria-Joao Ribeiro, Clovis Tauber
Factor Analysis of Dynamic PET Images: Beyond Gaussian Noise. IEEE Trans. Medical Imaging 38 (9) (2019)
Tatsumi Uezato, Mathieu Fauvel, Nicolas Dobigeon
Hyperspectral Unmixing With Spectral Variability Using Adaptive Bundles and Double Sparsity. IEEE Trans. Geosci. Remote. Sens. 57 (6) (2019)
Vinicius Ferraris, Nicolas Dobigeon, Yanna Cruz Cavalcanti, Thomas Oberlin, Marie Chabert
Coupled dictionary learning for unsupervised change detection between multimodal remote sensing images. Comput. Vis. Image Underst. 189 (2019)
Maxime Vono, Nicolas Dobigeon, Pierre Chainais
Asymptotically exact data augmentation: models, properties and algorithms. CoRR (2019)
Yanna Cruz Cavalcanti, Thomas Oberlin, Nicolas Dobigeon, Cédric Févotte, Simon Stute, Clovis Tauber
Unmixing Dynamic Pet Images: Combining Spatial Heterogeneity and Non-gaussian Noise. ICASSP (2019)
Jessica Sodjo, Audrey Giremus, Nicolas Dobigeon, François Caron
A Bayesian Nonparametric Model for Unsupervised Joint Segmentation of a Collection of Images. IEEE Access 7 (2019)
Adrien Lagrange, Mathieu Fauvel, Stéphane May, José M. Bioucas-Dias, Nicolas Dobigeon
Matrix Cofactorization for Joint Unmixing and Classification of Hyperspectral Images. EUSIPCO (2019)
Maxime Vono, Nicolas Dobigeon, Pierre Chainais
Bayesian Image Restoration under Poisson Noise and Log-concave Prior. ICASSP (2019)
Maxime Vono, Nicolas Dobigeon, Pierre Chainais
Efficient Sampling through Variable Splitting-inspired Bayesian Hierarchical Models. ICASSP (2019)
Shaheera Rashwan, Nicolas Dobigeon, Walaa M. Sheta, Hanan A. Hassan
Non-linear unmixing of hyperspectral images using multiple-kernel self-organising maps. IET Image Process. 13 (12) (2019)
Adrien Lagrange, Mathieu Fauvel, Stéphane May, Nicolas Dobigeon
Hierarchical Bayesian image analysis: From low-level modeling to robust supervised learning. Pattern Recognit. 85 (2019)
Claire Guilloteau, Thomas Oberlin, Olivier Berné, Nicolas Dobigeon
Hyperspectral and multispectral image fusion under spectrally varying spatial blurs - Application to high dimensional infrared astronomical imaging. CoRR (2019)
Vinicius Ferraris, Nicolas Dobigeon, Qi Wei, Marie Chabert
Detecting Changes Between Optical Images of Different Spatial and Spectral Resolutions: A Fusion-Based Approach. IEEE Trans. Geosci. Remote. Sens. 56 (3) (2018)
Tatsumi Uezato, Mathieu Fauvel, Nicolas Dobigeon
Hyperspectral Image Unmixing With LiDAR Data-Aided Spatial Regularization. IEEE Trans. Geosci. Remote. Sens. 56 (7) (2018)
Adrien Lagrange, Mathieu Fauvel, Stéphane May, Nicolas Dobigeon
A Bayesian Model for Joint Unmixing and Robust Classification of Hyperspectral Images. ICASSP (2018)
Vinicius Ferraris, Naoto Yokoya, Nicolas Dobigeon, Marie Chabert
A Comparative Study of Fusion-Based Change Detection Methods for Multi-Band Images with Different Spectral and Spatial Resolutions. IGARSS (2018)
Étienne Monier, Thomas Oberlin, Nathalie Brun, Marcel Tencé, Marta de Frutos, Nicolas Dobigeon
Reconstruction of partially sampled multi-band images - Application to STEM-EELS imaging. CoRR (2018)
Vinicius Ferraris, Nicolas Dobigeon, Marie Chabert
Robust fusion algorithms for unsupervised change detection between multi-band optical images - A comprehensive case study. CoRR (2018)
Étienne Monier, Thomas Oberlin, Nathalie Brun, Marcel Tencé, Maria de Frutos, Nicolas Dobigeon
Reconstruction Of Partially Sampled EELS Images. WHISPERS (2018)
Tatsumi Uezato, Mathieu Fauvel, Nicolas Dobigeon
Lidar-Driven Spatial Regularization for Hyperspectral Unmixing. IGARSS (2018)
Étienne Monier, Thomas Oberlin, Nathalie Brun, Marcel Tencé, Marta de Frutos, Nicolas Dobigeon
Reconstruction of Partially Sampled Multiband Images - Application to STEM-EELS Imaging. IEEE Trans. Computational Imaging 4 (4) (2018)
Pierre-Antoine Thouvenin, Nicolas Dobigeon, Jean-Yves Tourneret
A Hierarchical Bayesian Model Accounting for Endmember Variability and Abrupt Spectral Changes to Unmix Multitemporal Hyperspectral Images. IEEE Trans. Computational Imaging 4 (1) (2018)
Maxime Vono, Nicolas Dobigeon, Pierre Chainais
Sparse Bayesian Binary logistic Regression using the Split-and-Augmented Gibbs sampler. MLSP (2018)
Tatsumi Uezato, Mathieu Fauvel, Nicolas Dobigeon
A multiple endmember mixing model to handle spectral variability in hyperspectral unmixing. WHISPERS (2018)
Huanfeng Shen, Xiuping Jia, José M. Bioucas-Dias, Nicolas Dobigeon, Yi Cui, Fabio Pacifici
Foreword to the Special Issue on Quality Improvements of Remote Sensing Data. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 11 (3) (2018)
Vinicius Ferraris, Nicolas Dobigeon, Yanna Cruz Cavalcanti, Thomas Oberlin, Marie Chabert
Coupled dictionary learning for unsupervised change detection between multi-sensor remote sensing images. CoRR (2018)
Yanna Cruz Cavalcanti, Thomas Oberlin, Nicolas Dobigeon, Simon Stute, Maria Ribeiro, Clovis Tauber
Unmixing dynamic PET images with variable specific binding kinetics. Medical Image Anal. 49 (2018)
Yanna Cruz Cavalcanti, Thomas Oberlin, Nicolas Dobigeon, Simon Stute, Maria-Joao Ribeiro, Clovis Tauber
Factor analysis of dynamic PET images: beyond Gaussian noise. CoRR (2018)
Pierre-Antoine Thouvenin, Nicolas Dobigeon, Jean-Yves Tourneret
Unmixing multitemporal hyperspectral images accounting for smooth and abrupt variations. EUSIPCO (2017)
Jordan Frécon, Nelly Pustelnik, Nicolas Dobigeon, Herwig Wendt, Patrice Abry
-Potts Model Regularization Parameter: 1-D Piecewise Constant Signal Denoising. IEEE Trans. Signal Process. 65 (19) (2017)
Jessica Sodjo, Audrey Giremus, Nicolas Dobigeon, Jean-François Giovannelli
A generalized Swendsen-Wang algorithm for Bayesian nonparametric joint segmentation of multiple images. ICASSP (2017)
Shaheera Rashwan, Nicolas Dobigeon
A Split-and-Merge Approach for Hyperspectral Band Selection. IEEE Geosci. Remote. Sens. Lett. 14 (8) (2017)
Jordan Frécon, Nelly Pustelnik, Nicolas Dobigeon, Herwig Wendt, Patrice Abry
Bayesian-driven criterion to automatically select the regularization parameter in the ℓ1-Potts model. ICASSP (2017)
Adrien Lagrange, Mathieu Fauvel, Stéphane May, Nicolas Dobigeon
Hierarchical Bayesian image analysis: from low-level modeling to robust supervised learning. CoRR (2017)
Clement Elvira, Pierre Chainais, Nicolas Dobigeon
Bayesian nonparametric subspace estimation. ICASSP (2017)
Yanna Cruz Cavalcanti, Thomas Oberlin, Nicolas Dobigeon, Clovis Tauber
Unmixing dynamic PET images with a PALM algorithm. EUSIPCO (2017)
Abderrahim Halimi, José M. Bioucas-Dias, Nicolas Dobigeon, Gerald S. Buller, Stephen McLaughlin
Fast Hyperspectral Unmixing in Presence of Nonlinearity or Mismodeling Effects. IEEE Trans. Computational Imaging 3 (2) (2017)
Yanna Cruz Cavalcanti, Thomas Oberlin, Nicolas Dobigeon, Simon Stute, Maria Ribeiro, Clovis Tauber
Unmixing dynamic PET images for voxel-based kinetic component analysis. CoRR (2017)
Vinicius Ferraris, Nicolas Dobigeon, Qi Wei, Marie Chabert
Robust Fusion of Multiband Images With Different Spatial and Spectral Resolutions for Change Detection. IEEE Trans. Computational Imaging 3 (2) (2017)
Clement Elvira, Pierre Chainais, Nicolas Dobigeon
Bayesian Antisparse Coding. IEEE Trans. Signal Process. 65 (7) (2017)
Vinicius Ferraris, Nicolas Dobigeon, Qi Wei, Marie Chabert
Change detection between multi-band images using a robust fusion-based approach. ICASSP (2017)
Abderrahim Halimi, José M. Bioucas-Dias, Nicolas Dobigeon, Gerald S. Buller, Steve McLaughlin
Fast hyperspectral unmixing in presence of sparse multiple scattering nonlinearities. ICASSP (2017)
Qi Wei, José M. Bioucas-Dias, Nicolas Dobigeon, Jean-Yves Tourneret, Marcus Chen, Simon J. Godsill
Multi-Band Image Fusion Based on Spectral Unmixing. CoRR (2016)
Jordan Frécon, Nelly Pustelnik, Nicolas Dobigeon, Herwig Wendt, Patrice Abry
Bayesian selection for the regularization parameter in TVl0 denoising problems. CoRR (2016)
Vinicius Ferraris, Nicolas Dobigeon, Qi Wei, Marie Chabert
Robust Fusion of Multi-Band Images with Different Spatial and Spectral Resolutions for Change Detection. CoRR (2016)
Jessica Sodjo, Audrey Giremus, François Caron, Jean-François Giovannelli, Nicolas Dobigeon
Joint segmentation of multiple images with shared classes: A Bayesian nonparametrics approach. SSP (2016)
Clement Elvira, Pierre Chainais, Nicolas Dobigeon
Democratic prior for anti-sparse coding. SSP (2016)
Qi Wei, Simon J. Godsill, José M. Bioucas-Dias, Nicolas Dobigeon, Jean-Yves Tourneret
High-resolution hyperspectral image fusion based on spectral unmixing. FUSION (2016)
Nelly Pustelnik, Herwig Wendt, Patrice Abry, Nicolas Dobigeon
Combining Local Regularity Estimation and Total Variation Optimization for Scale-Free Texture Segmentation. IEEE Trans. Computational Imaging 2 (4) (2016)
Qi Wei, José M. Bioucas-Dias, Nicolas Dobigeon, Jean-Yves Tourneret, Simon J. Godsill
Blind model-based fusion of multi-band and panchromatic images. MFI (2016)
Ningning Zhao, Qi Wei, Adrian Basarab, Nicolas Dobigeon, Denis Kouame, Jean-Yves Tourneret
Problems. IEEE Trans. Image Process. 25 (8) (2016)
Vinicius Ferraris, Nicolas Dobigeon, Qi Wei, Marie Chabert
Detecting Changes Between Optical Images of Different Spatial and Spectral Resolutions: a Fusion-Based Approach. CoRR (2016)
Pierre-Antoine Thouvenin, Nicolas Dobigeon, Jean-Yves Tourneret
Online Unmixing of Multitemporal Hyperspectral Images Accounting for Spectral Variability. IEEE Trans. Image Process. 25 (9) (2016)
Qi Wei, Nicolas Dobigeon, Jean-Yves Tourneret, José M. Bioucas-Dias, Simon J. Godsill
R-FUSE: Robust Fast Fusion of Multiband Images Based on Solving a Sylvester Equation. IEEE Signal Process. Lett. 23 (11) (2016)
Qi Wei, José M. Bioucas-Dias, Nicolas Dobigeon, Jean-Yves Tourneret, Marcus Chen, Simon J. Godsill
Multiband Image Fusion Based on Spectral Unmixing. IEEE Trans. Geosci. Remote. Sens. 54 (12) (2016)
Pierre-Antoine Thouvenin, Nicolas Dobigeon, Jean-Yves Tourneret
Unmixing multitemporal hyperspectral images with variability: An online algorithm. ICASSP (2016)
Pierre-Antoine Thouvenin, Nicolas Dobigeon, Jean-Yves Tourneret
Hyperspectral Unmixing With Spectral Variability Using a Perturbed Linear Mixing Model. IEEE Trans. Signal Process. 64 (2) (2016)
Qi Wei, Nicolas Dobigeon, Jean-Yves Tourneret, José M. Bioucas-Dias, Simon J. Godsill
R-FUSE: Robust Fast Fusion of Multi-Band Images Based on Solving a Sylvester Equation. CoRR (2016)

Nicolas Dobigeon.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Nicolas Dobigeon