Sébastien Bourguignon
Présentation
Professeur Ecole Centrale de Nantes Laboratoire des Sciences du Numérique de Nantes - équipe SIMS (Signal, Image et Son)
Publications
Publications
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Ensemble des solutions parcimonieuses exactes en démélange spectral : algorithme garanti et analyse des solutionsColloque GRETSI 2025, GRETSI, 2025, Strasbourg, France |
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Guaranteed Best Sparse Solutions for Spectral Unmixing15th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS), 2025, Barcelona, Spain |
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Branch-and-bound algorithm for exact ℓ0 -norm sparse spectral unmixingEUSIPCO 2025, EURASIP, Sep 2025, Palermo, Italy |
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La dualité convexe comme accélération d'un algorithme de Branch-and-Bound dédié à l'optimisation parcimonieuse23ème congrès annuel de la Société Française de Recherche Opérationnelle et d'Aide à la Décision, INSA Lyon, Feb 2022, Villeurbanne - Lyon, France |
Techniques for accelerating branch-and-bound algorithms dedicated to sparse optimizationEUROPT 19th Workshop on Advances in Continuous Optimization, Jul 2022, Lisbonne, Portugal |
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Branch-and-bound algorithm applied to sparse optimization problems: a study of some exploration strategiesEUROPT 2021, the 18th international workshop on continuous optimization, continuous optimization working group of EURO (The Association of European Operational Research Societies)., Jul 2021, Toulouse, France |
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Spectral unmixing with positivity, sparsity and group exclusivity constraintsEuropean Planetary Science Congress 2021, Sep 2021, Virtual meeting, France. ⟨10.5194/epsc2021-665⟩ |
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A Joint Inversion Approach of Capacitive and Resistive Measurements for the Estimation of Water Saturation Profiles in Concrete StructuresXV International Conference on Durability of Building Materials and Components (DBMC 2020), Oct 2020, Barcelone, Spain. ⟨10.23967/dbmc.2020.182⟩ |
Algorithme branch-and-bound pour l’approximation parcimonieuse en traitement du signal et en statistiques20è conférence ROADEF, Apr 2020, Montpellier, France |
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Sparse Branch and Bound for Exact Optimization of L0-Norm Penalized Least SquaresICASSP 2020, IEEE International Conference on Acoustics, Speech and Signal Processing, May 2020, Barcelona, Spain. pp.ISBN: 978-1-5090-6632-2, ⟨10.1109/ICASSP40776.2020.9053870⟩ |
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A Greedy Sparse Approximation Algorithm Based On L1-Norm Selection RulesICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), May 2020, Barcelona, Spain. pp.5390-5394, ⟨10.1109/ICASSP40776.2020.9054670⟩ |
An inverse problem framework for ultrasonic imaging in attenuative and dispersive mediaForum Acusticum, Dec 2020, Lyon, France. pp.3455-3455, ⟨10.48465/fa.2020.0406⟩ |
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Approche inverse rapide pour la déconvolution d'images ultrasonores par une PSF variableGRETSI, Aug 2019, Lille, France |
Démélange parcimonieux et prise en compte de contraintes structurantes par optimisation globale7e colloque du Groupe Hyperspectral de la Société Française de Photogrammétrie et Télédétection (SFPT-GH) 2019, Jul 2019, Toulouse, France |
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Fast inverse approach for the deconvolution of ultrasonic TFM images using a spatially varying PSF in NDT2019 IEEE International Ultrasonics Symposium (IUS), Oct 2019, Glasgow, United Kingdom. pp.1985-1988, ⟨10.1109/ULTSYM.2019.8925692⟩ |
A Fully Bayesian Approach For Inferring Physical Properties With Credibility Intervals From Noisy Astronomical DataWHISPERS 2019 - 10th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, Sep 2019, Amsterdam, Netherlands. pp.1-5, ⟨10.1109/WHISPERS.2019.8920859⟩ |
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Algorithme branch-and-bound pour l’optimisation exacte en norme l0XXVIIème Colloque francophone de traitement du signal et des images (GRETSI 2019), Aug 2019, Lille, France |
Global optimization of L0-norm-based sparse approximation criteria with a branch-and-bound algorithmSPARS, Signal Processing with Adaptive Sparse Structured Representations, 2019, Toulouse, France |
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Global Optimization for Sparse Solution of Least Squares ProblemsICCOPT, International Conference on Continuous Optimization, 2019, Berlin, Germany |
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An Inverse Approach for Ultrasonic Imaging by Total Focusing Point for Close Reflectors Separation2018 IEEE International Ultrasonics Symposium (IUS), Oct 2018, Kobe, Japan. pp.1-4, ⟨10.1109/ULTSYM.2018.8580073⟩ |
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An L0 solution to sparse approximation problems with continuous dictionariesIEEE ICASSP, Apr 2018, Calgary, Canada |
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Méthodes exactes de démélange spectral en norme L0 et contraintes de parcimonie structurée à l'aide de MIP19ème congrès de la ROADEF (2018), Feb 2018, Lorient, France |
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Spectral Unmixing with Sparsity and Structuring ConstraintsIEEE Whispers (2018) : 9th Workshop on Hyperspectral Image and Signal Processing, Sep 2018, Amsterdam, Netherlands. ⟨10.1109/whispers.2018.8747046⟩ |
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Démélange parcimonieux exact dans une approche supervisée en imagerie hyperspectralecolloque GRETSI 2017, Sep 2017, Juan les Pins, France |
Improvement of the total focusing method using an inverse problem approach2017 IEEE International Ultrasonics Symposium (IUS), Sep 2017, Washington, United States. ⟨10.1109/ULTSYM.2017.8092783⟩ |
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Bias on the" average" photometric behaviourEuropean Planetary Science Congress, 2017, Riga, Latvia |
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Characterization of poroelastic materials through interface scattering and propagation models5th symposium on the Acoustics of Poro-Elasic Materials (SAPEM), 2017, Le Mans, France |
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Fast reconstruction in blind fluorescence structured illumination microscopyOSA Conference : Imaging and Applied Optics, 2017, San Francisco, United States. ⟨10.1364/math.2017.mm3c.2⟩ |
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Minimum contrast estimation for super-resolution fluorescence microscopy using speckle patternsGRETSI, Sep 2017, Juan-Les-Pins, France |
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A marginal image reconstruction approach in fluorescence microscopy with pseudo-random illumination patternsOSA Conference : Imaging and Applied Optics, 2016, Heidelberg, Germany |
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Sampling schemes and parameter estimation for nonlinear Bernoulli-Gaussian sparse modelsIEEE Statistical Signal Processing Workshop, 2016, Palma de Mallorca, Spain |
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Fluorescence blind structured illumination microscopy: a new reconstruction strategyIEEE International Conference on Image Processing, IEEE, Sep 2016, Phoenix, United States. ⟨10.1109/ICIP.2016.7532943⟩ |
Super-resolution capacity of imagers using random illuminationsOSA Conference : Imaging and Applied Optics, 2016, Heidelberg, Germany |
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Blind sparse deconvolution of regularly spaced ultrasonic echoes for thickness measurementReview of Progress in Quantitative Nondestructive Evaluation (QNDE), 2016, Atlanta, United States |
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Deconvolution of ultrasonic signals in porous materials : Estimation of acoustic propagation parameters and wave separationReview of Progress in Quantitaive Nondestructive Evaluation (QNDE), 2016, Atlanta, United States |
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Detection of Flat Bottom Holes Using Sparse DeconvolutionICU 2015 International Congress on Ultrasonics, May 2015, Metz, France. pp.558 - 561, ⟨10.1016/j.phpro.2015.08.019⟩ |
Faster resolution of the 3-D forward problems in microwave imaging by a Partial-Block BiCGStab algorithm2015 9th European Conference on Antennas and Propagation (EuCAP), Apr 2015, Lisbon, Portugal |
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Blind fluorescence structured illumination microscopy: A new reconstruction strategyActes du 25e colloque GRETSI, 2015, Lyon, France |
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Programmation mixte en nombres entiers pour l’approximation parcimonieuse de signauxROADEF 2015, 16ème congrès annuel de la Société Française de Recherche Opérationnelle et d’Aide à la Décision, Feb 2015, Marseille, France |
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Optimisation exacte de critères parcimonieux en norme L0 par programmation mixte en nombres entiersGRETSI 2015, XXVe Colloque GRETSI - Traitement du Signal et des Images, Sep 2015, Lyon, France |
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Algorithmes de déconvolution impulsionnelle à résolution augmentée24ème colloque GRETSI (2013), Sep 2013, Brest, France. pp.392 |
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Including frequency-dependent attenuation for the deconvolution of ultrasonic signals21th International Congress on Acoustics (2013), Jun 2013, Montréal, Canada. pp.055029, ⟨10.1121/1.4800850⟩ |
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RESOLUTION ENHANCEMENT OF ULTRASONIC SIGNALS BY UP-SAMPLED SPARSE DECONVOLUTIONIEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2013), May 2013, Vancouver, Canada |
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Restauration de données hyperspectrales astrophysiques par approximation parcimonieuseGRETSI 2013, Sep 2013, Brest, France |
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SPATIAL-SPECTRAL UNMIXING OF HYPERSPECTRAL DATA FOR DETECTION AND ANALYSIS OF ASTROPHYSICAL SOURCES WITH THE MUSE INSTRUMENTIEEE WHISPERS, Jun 2012, Shanghai, China |
Constraining Martian mineralogical compositions using hyperspectral images43rd Lunar and Planetary Science Conference, Lunar and Planetary Institute (LPI), Mar 2012, Texas, United States. pp.(electronic medium) |
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High-resolution deconvolution applied to non destructive testingAcoustics 2012, Apr 2012, Nantes, France |
Accuracy and performance of linear unmixing techniques for detecting minerals on Omega/Mars Express (WHISPERS 2011)3rd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS), Jun 2011, Lisbonne, Portugal. pp.1-4, ⟨10.1109/WHISPERS.2011.6080858⟩ |
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Sparse deconvolution: comparison of statistical and deterministic approachesIEEE Statistical Signal Processing Workshop, SSP 2011, Jun 2011, Nice, France. pp.CDROM |
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Accuracy and performance of linear unmixing techniques for detecting minerals on OMEGA/MExEPSC-DPS Joint Meeting, Oct 2011, Nantes, France. pp.969 |
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Restauration des cubes hyperspectraux du spectro-imageur MUSEColloque GRETSI sur le traitement du signal et des images (GRETSI 2011), Sep 2011, Bordeaux, France |
Accuracy and performance of linear unmixing techniques for detecting minerals on Omega/Mars Express ((EPSC 2011)European Planetary Science Congress 2011, Oct 2011, Nantes, France. pp.(electronic medium) |
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Modélisation et estimation de la PSF d'un instrument hyperspectral au sol pour l'astrophysiqueGRETSI 2011, XXIIe Colloque GRETSI - Traitement du Signal et des Images, Sep 2011, Bordeaux, France |
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Automatic fish school classification for acoustic sensing of marine ecosystemsOceans'08, Sep 2008, Québec, Canada |
Minimisation de critères de moindres carrés pénalisés par la norme l1 dans le cas complexeGRETSI, Sep 2007, Troyes, France. pp.1253-1256 |
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Optimisation globale pour la résolution de problèmes parcimonieux en norme $l_0$Assemblée Générale du GDR ISIS, Mar 2015, Lyon, France. |
Line spectra estimation for irregularly sampled signals in AstrophysicsJ. Idier et J.-F. Giovannelli. Regularization and Bayesian Methods for Inverse Problems in Signal and Image Processing, ISTE Wiley, 2015 |
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Estimation de spectres de raies pour des signaux irrégulièrement échantillonnés en astrophysiqueJean-François Giovannelli, Jérôme Idier. Méthodes d'inversion appliquées au traitement du signal et de l'image, Hermès - Lavoisier, pp.163-190, 2013, Traité Information, Commande, Communication, série Signal et image |
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Unfolded primal-dual algorithm estimating time-varying COVID-19 reproduction numbers2026 |
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On the unit hypercube, the tightest convex relaxation of the ℓ0 pseudonorm is the ℓ1 norm2025 |
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Global Optimization for Sparse Solution of Least Squares Problems2019 |
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Analyse spectrale à haute résolution de signaux irrégulièrement échantillonnés : application à l'Astrophysique.Traitement du signal et de l'image [eess.SP]. Université Paul Sabatier - Toulouse III, 2006. Français. ⟨NNT : ⟩ |
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Modèles et algorithmes dédiés pour la résolution de problèmes inverses parcimonieux en traitement du signal et de l'imageTraitement du signal et de l'image [eess.SP]. Université de Nantes, 2020 |