Research activities

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Publications and communications

Complete static list: here. Complete interactive list: here.
Other lists: IRIT database, Google Scholar profile, HAL, BibBase.

Note: my Erdõs number is 3. To find a pathway: MathSciNet.

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Research interests

• Statistical signal and image processing.
• Inverse problems in signal and image processing.
• Computational imaging: restoration, fusion, super-resolution.
• Myopic and blind source separation, matrix factorization.
• Dictionary learning, sparse & democratic representations, sparse & anti-sparse coding.
• Subspace estimation, manifold learning.

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(favorite) Tools and methods

• Bayesian inference [1] [2], hierarchical models.
• Latent variable models, hidden Markov models, (Potts) Markov random fields.
• Bayesian nonparametrics, (hierarchical) Dirichlet processes, Gaussian processes.
• Asymptotically exact data augmentation (AXDA), approximate Bayesian computation (ABC).
• Markov chain Monte Carlo (MCMC) algorithms: Metropolis-Hastings, (partially collapsed) Gibbs samplers, reversible jump algorithms, Hamiltonian Monte Carlo, proximal-MALA, split-and-augmented Gibbs sampler.
• Variational Bayesian methods, mean-field approximation.

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Applications (research map)

For more details (simulation results, Matlab codes, papers...), click on the links when available.

Hyperspectral and multispectral image fusion for infrared astronomical data

Multiband image fusion under spectrally variant spatial blurs (see also here).

STEM-EELS microspectroscopy

Fast reconstruction of EELS images from sparse sampling. Unsupervised identification of material signatures.

Sparse binary logistic regression

Classification of handwritten digits, based on the split-and-augmented Gibbs sampler.

Change detection between remote sensing images

Analyzing multi-band images with different spatial and spectral resolutions.

TV-L₀ and TV-L₁ denoising of 1D signal

Unsupervised selection of the regularization parameter.

Textured image analysis

Local regularity based image segmentation, scale-free textures, multifractal analysis.

Image super-resolution

Fast resolution, L₂-, L₁- and TV-regularizations.

Anti-sparse coding

Democratic representations, PAPR reduction.

Multiband image fusion

Hyperspectral pansharpening, multispectral/hyperspectral image fusion (see also here).

Ultrasound imaging

Fast acquisition and compressed sensing. Unsupervised classification of skin lesions.

Subspace estimation

Natural metric on the Grassmann manifold, directional statistics.

Detection of glitches in multiplexed multichannel data streams

Correction of multi-channel imaging, application to the MADRAS images.

Sparse coding of natural images

Sparse representation and dictionary learning.

Gene expression factor analysis

Unsupervised identification of disease signature (e.g., influenza).

Hyperspectral image unmixing

Endmember extraction, inversion. Nonlinear mixture detection. Handling spectral variability.

Magnetic Resonance Force Microscopy (MRFM) imagery

Sparse image reconstruction, myopic (semi-blind) deconvolution.

Spectrochemical analysis

Bayesian blind source separation under constraints.

Joint segmentation of autoregressive processes

Segmentation of stereo speech signals. Detection of "arc-tracking" phenomenon.

Joint segmentation of multivariate astronomical time series

Segmentation of real data obtained by the NASA Compton Gamma Ray Observatory's BATSE.
Detection of the changes in the brightness of the gamma-ray burst (GRB) sources.

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Research group

List of (current and past) M.Sc./Ph.D. students and post-doctoral fellows here.

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Collaborations

• Patrice ABRY, ENS Lyon, Physics Dept., France.
• Véronique ACHARD, ONERA Toulouse, France.
• Adrian BASARAB, University of Toulouse, IRIT, France.
• Hadj BATATIA, University of Toulouse, IRIT/INP-ENSEEIHT, France.
• José C. M. BERMUDEZ, Federal Univ. Santa Catarina, Brazil.
• Olivier BERNÉ, University of Toulouse, IRAP, France.
• Olivier BESSON, University of Toulouse, ISAE, France.
• Jose M. BIOUCAS-DIAS, Instituto Superior Ténico, Portugal.
• Nathalie BRUN, University of Paris-Sud 11, LPS Lab., France.
• François CARON, University of Oxford, UK.
• Cédric CARTERET, University of Nancy, LCPME, France.
• Marie CHABERT, University of Toulouse, IRIT/INP-ENSEEIHT, France
• Pierre CHAINAIS, Ecole Centrale Lille, CRIStAL, France
• Chein-I CHANG, University of Maryland Baltimore County, USA.
• Jie CHEN, Northwestern Polytechnical University, China.
• Aladine CHETOUANI, University of Orléans, PRISME, France.
• Ismael COGNARD, University of Orléans, LPCE2E, France.
• Martial COULON, University of Toulouse, IRIT/INP-ENSEEIHT, France.
• Manuel DAVY, LAGIS, Lille, France.
• Mame Diarra FALL, University of Orléans, IDP, France.
• Mathieu FAUVEL, University of Toulouse, CESBIO, France.
• Cédric FÉVOTTE, University of Toulouse, IRIT, France.
• Nicolas GILLIS, University of Mons, Belgium.
• Jean-François GIOVANELLI, University of Bordeaux, IMS, France.
• Audrey GIREMUS, University of Bordeaux, IMS, France.
• Alfred O. HERO, University of Michigan, EECS Dept., USA.
• Franz HLAWATSCH, Vienna University of Technology, Austria.
• Denis KOUAMÉ, University of Toulouse, IRIT, France.
• Taner INCE, University of Gazantiep, Turkey.
• David LABAT, University of Toulouse, GET, France.
• Henri LANTERI, University of Nice, Lagrange Lab., France.
• François MALGOUYRES, University of Toulouse, IMT, France.
• Corinne MAILHES, University of Toulouse, IRIT/INP-ENSEEIHT, France.
• Steve McLAUGHLIN, Heriot-Watt University, Edinburgh.
• Saïd MOUSSAOUI, IRCCyN/ECN, France.
• Marcelo PEREYRA, University of Bristol, UK.
• Nelly PUSTELNIK, ENS Lyon, Physics Dept., France.
• Cédric RICHARD, University of Nice, Lagrange Lab., France.
• Cyril RUCKEBUSCH, University of Lille, LASIRE, France.
• Daniel RUGAR, IBM Almaden Research Center, USA.
• Jeffrey D. SCARGLE, NASA Ames Research Center, USA.
• Frédéric SCHMIDT, University of Paris-Sud 11, IDES Lab., France.
• Walaa SHETA, Informatics Research Institute, Alexandria, Egypt.
• Hichem SNOUSSI, Troyes University of Technology, France.
• Ben SOMERS, KU Leuven, Belgium.
• Clovis TAUBER, University of Tours, UMRS INSERM U930, France.
• Céline THEYS, University of Nice, Lagrange Lab., France.
• Thomas OBERLIN, University of Toulouse, IRIT/INP-ENSEEIHT, France.
• Jean-Yves TOURNERET, University of Toulouse, IRIT/INP-ENSEEIHT, France.
• Herwig WENDT, University of Toulouse, IRIT/INP-ENSEEIHT, France.
• Ami WIESEL, Hebrew University of Jerusalem, Israel.
• Naoto YOKOYA, University of Tokyo, RIKEN AIP, Japan.

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Research projects

• Mont'Prospect 2.0 - Methodological renewal of the archaeological prospection of highlands
  Funded by CNRS through the MITI (2023-2024).
  Partners: TRACES, FRAMESPA, CESBIO, CNES.
• FUSIONJWST - Fusion of large scale astronomical data
  Funded by CNRS through the 80|Prime Program (2023-2026).
  Partners: IRAP (Univ. Toulouse), ISAE (Univ. Toulouse).
• CUBE - Structural brain connectomes assessment using portable low-field MRI
  Funded by ANR (French National Research Agency) (2023-2026).
  Partners: Toulouse University Hospital, Tonic (INSERM/Univ. Toulouse), Thales Services Numériques, CNES.
• IMAGIN - Active molecular imaging and unmixing
  Funded by ANR (French National Research Agency) (2021-2024).
  Partners: LASIRE (CNRS/Univ. Lille), LARIS (Univ. Angers).
• AI4IMSKA - Hybrid AI for interference mitigation in SKA data
  Funded by CNRS through the 80|Prime Program (2021-2024).
  Partners: LPC2E (Univ. Orléans), LESIA (CNRS/Univ. Paris).
• AI Research Chair on Fusion-based inference from heterogeneous data
  Funded by ANITI (2019-2023).
  Partners: Toulouse INP, ISAE-SUPAERO, CNRS, CESBIO, CNES, NXP.
• ARSIS - Acquisition et reconstruction de spectres-images en mode random scanning
  Funded by CNRS through the Imag'in program (2017).
  Partner: STEM group at LPS (CNRS/Univ. of Paris-Sud 11).
• Acquisition de spectres-images en mode random scanning
  Funded by CNRS through the METSA network (2017).
• MULTIFRACS - Multifractal theory and methods for large size multivariate systems - Applications to scale free analysis of brain dynamics analysis
  Funded by ANR (French National Research Agency) (2017-2020).
  Partners: Physics Lab. (CNRS/ENS Lyon), LAMA (CNRS/UPEC) and Neurospin (CEA Saclay).
• FACTORY - New paradigms for latent factor estimation
  Funded by ERC Consolidator Grant (P.I.: Cédric Févotte) (2016-2021).
  
• DEPICT - From pixelwise unmixing to thematic classification
  Funded by CNES and Occitanie Region (2016-2019).
  Partners: CNES and Dynafor (INRA/INP Toulouse).
• MapInvPlnt - Monitoring the Water Hyacinth Using Hyperspectral Imagery
  Funded by EU FP7 through the ERANETMED JC-WATER ANR program (2016-2018).
  Partners: MuCSAT (Alexandria, Egypt), NARSS (Cairo, Egypt), IT (Lisboa, Portugal).
• MUESLI - MUltiscale mapping of Ecosystem Services by very high spatial resolution hyperspectraL and LiDAR remote sensing Imagery
  Funded by University of Toulouse through the Thematic Strategic Actions (2015-2017).
  Partners: Dynafor (INRA/INP), CESBIO (CNRS/CNES/IRD/UPS).
• BNPSI - Bayesian nonparametric methods for signal and image processing
  Funded by ANR (French National Research Agency) (2013-2017).
  Partners: ALEA group (INRIA), IMS (CNRS/Bordeaux INP), LAGIS (CNRS/EC Lille), CEA LIST.
• HYPANEMA - HYPerspectral data ANalysis with NonlinEar unMixing Algorithm
  Funded by ANR (French National Research Agency) (2012-2015).
  Partners: Lagrange Lab. (CNRS/UNSA), GIPSA-lab (CNRS/Grenoble INP), ICD (CNRS/UTT Troyes).
• ESTOMAT - Order estimation in Matrix factorization models
  Funded by CNRS through the PEPS-Rupture program (2011-2012).
  Partner: Cédric Févotte at LTCI (CNRS/Telecom ParisTech).
• MADONNA - Acquisition of hyperspectral and lidar data with airborne sensors
  Funded by INP Toulouse (2010-2011).
  Partners: DYNAFOR (INRA/INP Toulouse), Purpan Agricult. Eng. School (Toulouse).
• MCMC methods for hyperspectral image analysis
  Funded by GdR-ISIS through the "Young Researcher" program (2007-2008).
  Partners: ADTSI Team, IRCCyN (CNRS/ECN, France).

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Industrial partnerships

• Pansharpening and image fusion (2017-2018)
  Partner: CNES.
• Hyperpectral image denoising (2016-2017)
  Partner: CNES.
• Nonlinear mixture detection in hyperspectral images (2013-2014)
  Partner: CNES.
• Dictionary learning for remote sensing image analysis (2011-2012)
  Partner: CNES.
• Complementary algorithms for MADRAS data reconstruction (2012)
  Partners: CLS and CNES.
• Algorithm for MADRAS data reconstruction (2012)
  Partners: CLS and CNES.
• TDOA and FDOA measurement deinterleaving (2009-2010)
  Partner: CNES.