Matthieu Puigt
- Laboratoire d'Informatique Signal et Image de la Côte d'Opale (LISIC)
Publications
Publications
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Méthode comprimée et distribuée de factorisation pondérée en matrices non-négatives pour les matrices de grande dimensionXXXe Colloque Francophone de Traitement du Signal et des Images (GRETSI 2025), ICube, Aug 2025, Strasbourg, France. pp.1121-1124 |
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Approche couplée VAE et interpolateur pour l'émulation rapide d'images hyperspectralesXXXe Colloque Francophone de Traitement du Signal et des Images (GRETSI 2025), ICube, Aug 2025, Strasbourg, France. pp.997-1000 |
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Décomposition conjointe de plusieurs tenseurs fondée sur une extension des équations de SylvesterXXXe Colloque Francophone de Traitement du Signal et des Images (GRETSI 2025), GRETSI; ICube, Aug 2025, Strasboug, France. pp.249-252 |
Multisensor hyperspectral super-resolution using tensor decompositionThird Workshop on Low-Rank Models and Applications (LRMA'25), Nicolas Gillis, Sep 2025, Mons, Belgium |
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Coupled VAE and Interpolator approach for Fast Hyperspectral Image Emulation14th Workshop on Hyperspectral Images and Signal Processing: Evolution in Remote Sensing - WHISPERS, Dec 2024, Helsinki, Finland. pp.1-5, ⟨10.1109/WHISPERS65427.2024.10876458⟩ |
A Preliminary Investigation on Human-in-the-Loop Source Separation Performance for Aircraft "Black Box" RecordingsThird Workshop on Low-Rank Models and Applications (LRMA'25), Nicolas Gillis, Sep 2025, Mons, Belgium |
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Approche couplée VAE et interpolateur pour l'émulation rapide d'images hyperspectralesCNRIUT'2025 - Congrès National de la Recherche des IUT, IUT de Bayonne et du Pays Basque, Mar 2025, Bayonne, France. pp.269-271 |
QLAPP : A Mobile Application to Create and Manage Questionnaires, Respondent Panels, and Surveys in Social ScienceThird Workshop on Low-Rank Models and Applications (LRMA'25), Nicolas Gillis, Sep 2025, Mons, Belgium |
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Tensor decomposition based multisensor hyperspectral fusion for spatial super resolution15th Workshop on Hyperspectral Image and Signal Processing: Evolutions in Remote Sensing (IEEE WHISPERS 2025), GRSS (Geoscience and Remote Sensing Society); IEEE (Institute of Electrical and Electronics Engineers), Nov 2025, Bellaterra (Barcelona), Spain |
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Agent-Based Modeling and Simulation for Urban Air Quality Assessment7 th International Conference on Logistics Operations Management: Smart Sustainable and Green Logistics, May 2024, Marrakech (Maroc), Morocco |
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Towards Automatic Butterfly Species Recognition Using a Single Spatio-Hyperspectral Image32nd European Signal Processing Conference (EUSIPCO'24), Aug 2024, Lyon, France. pp.1252-1256, ⟨10.23919/EUSIPCO63174.2024.10715406⟩ |
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Robust Approach for Butterfly Species Classification Using A Single Spatio-Hyperspectral Image14Th Workshop on Hyperspectral Images and Signal Processing: Evolution in Remote Sensing - WHISPERS, Dec 2024, Helsinki, Finland. pp.1-5, ⟨10.1109/WHISPERS65427.2024.10876422⟩ |
VAE-based Emulator for Fast Hyperspectral Image Generation3RD WORKSHOP ON INTERNATIONAL COOPERATION IN SPACEBORNE IMAGING SPECTROSCOPY – Hyperspectral 2024, ESA, Nov 2024, Noordwijk ( Pays-Bas ), Netherlands |
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Réseau antagoniste génératif pour la fusion spatio-temporelle d'images satellitaires multi-spectralesXXIXème Colloque Francophone de Traitement du Signal et des Images (GRETSI 2023), Aug 2023, Grenoble, France. pp.773-776 |
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Homographies structurées pour l’alignement de couches spectralesXXIXème Colloque Francophone de Traitement du Signal et des Images (GRETSI 2023), Aug 2023, Grenoble, France. pp.1073-1076 |
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Méthodes parcimonieuses de déconvolution et démélange pour les images multispectrales "snapshotXXIXème Colloque Francophone de Traitement du Signal et des Images (GRETSI 2023), Aug 2023, Grenoble, France. pp.749-752 |
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Joint Unmixing and Demosaicing Methods for Snapshot Spectral Images2023 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), IEEE, Jun 2023, Rhodes, Greece. ⟨10.1109/ICASSP49357.2023.10096740⟩ |
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Filtering-based endmember identification method for snapshot spectral images2022 12th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS), Sep 2022, Roma, Italy. ⟨10.1109/WHISPERS56178.2022.9955128⟩ |
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Méthode de démélange et dématriçage conjoints fondée sur la complétion de rang un pour les images multispectrales « snapshot »XXVIIIème Colloque Francophone de Traitement du Signal et des Images (GRETSI), Sep 2022, Nancy, France |
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Complétion par apprentissage profond de séries temporelles d'images multi-spectrales à partir d'images hyper-spectralesXXVIIIème Colloque Francophone de Traitement du Signal et des Images (GRETSI), Sep 2022, Nancy, France. 4p |
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Inversion de réseaux de filtres de Fabry-Perot pour la restauration de cubes hyperspectrauxXXVIIIème Colloque Francophone de Traitement du Signal et des Images (GRESTI), Sep 2022, Nancy, France |
Fabry-Perot Filter Array Inversion for Hyperspectral Datacube Restoration2nd Workshop on Low-Rank Models and Applications (LRMA'22), Sep 2022, Mons, Belgium |
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A new deep learning method for multispectral image time series completion using hyperspectral data47th IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2022), IEEE, May 2022, Singapour, Singapore. pp.1546-1550, ⟨10.1109/ICASSP43922.2022.9747895⟩ |
Joint Demosaicing and Unmixing in Snapshot Spectral ImagesJournées Imagerie Optique Non Conventionnelle des GdR ISIS et GdR ONDES, Mar 2022, Paris, France |
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Amélioration de l’intelligibilité de la parole dans des enregistrements de « boîtes noires aéronautiques » à l’aide de méthodes de Séparation Aveugle de SourcesXXXXIVe Journées d'Etudes sur la Parole (JEP 2022), Jun 2022, Île de Noirmoutier, France. ⟨10.21437/JEP.2022-35⟩ |
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DeepSen3: Deep multi-scale learning model for spatial-spectral fusion of Sentinel-2 and Sentinel-3 remote sensing images12th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS) 2022, Sep 2022, Rome, Italy. ⟨10.1109/WHISPERS56178.2022.9955139⟩ |
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Filtering-based endmember estimation from snapshot spectral images2nd Workshop on Low-Rank Models and Applications (LRMA'22), Sep 2022, Mons, Belgium |
Airplane! Introducing the cockpit party problem2nd Workshop on Low-Rank Models and Applications (LRMA'22), Sep 2022, Mons, Belgium |
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Apport de la séparation de sources au traitement des signaux audiophoniques issus de « boîtes noires aéronautiques »XXVIIIème Colloque Francophone de Traitement du Signal et des Images (GRETSI), Sep 2022, Nancy, France |
Projet TOSCA OSYNICO : Optimisation et SYNergie des données In situ et COuleur de l'eau pour l’étude de la dynamique biogéochimique des eaux côtièresColloque ILICO / EVOLECO 2021, Nov 2021, La Rochelle, France |
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In situ calibration of cross-sensitive sensors in mobile sensor arrays using fast informed non-negative matrix factorization2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Jun 2021, Toronto, Canada. pp.3515-3519, ⟨10.1109/ICASSP39728.2021.9414742⟩ |
Fast informed nonnegative matrix factorization for mobile sensor calibrationGdR ISIS (Groupement de Recherche Information Signal Image viSion) : Statistical learning with missing values, Dec 2021, Virtuel, France |
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Random Projection Streams for (Weighted) Nonnegative Matrix Factorization2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Jun 2021, Toronto, Canada. pp.3280-3284, ⟨10.1109/ICASSP39728.2021.9413496⟩ |
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Experimental comparison of multi-sharpening methods applied to Sentinel-2 MSI and Sentinel-3 OLCI images11th Workshop on Hyperspectral Image and Signal Processing: Evolutions in Remote Sensing (WHISPERS), Mar 2021, Amsterdam, Netherlands. pp.293-297, ⟨10.1109/WHISPERS52202.2021.9484009⟩ |
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Gaussian Compression Stream: Principle and Preliminary ResultsiTWIST'20 : international Traveling Workshop on Interactions between low-complexity data models and Sensing Techniques, Dec 2020, Nantes, France. Paper-ID 11 |
Apprentissage profond et fusion des images hyperspectrales (Sentinel-3 OLCI, AVIRIS, HICO) et multi-spectrales (Sentinel-2, Lansat8 OLI) pour l'extraction des attributs (couleur de l'océan)GdR ISIS (Groupement de Recherche - Information Signal Image Vision) : Extraction d'attributs et apprentissage pour l'analyse des images de télédétection, Oct 2020, Virtuel, France |
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How to Apply Random Projections to Nonnegative Matrix Factorization with Missing Entries?27th European Signal Processing Conference, Sep 2019, A Coruña, Spain. pp.1-5, ⟨10.23919/EUSIPCO.2019.8903036⟩ |
Non-Negative Matrix Factorization with Missing Entries: A Random Projection Based ApproachJournée des jeunes chercheurs en Traitement du signal et de l’image 2019 GRAISyHM TSI 2019, Jun 2019, Amiens, France |
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Accélération de la factorisation pondérée en matrices non-négatives par projections aléatoiresGRETSI 2019 - XXVIIème Colloque francophonede traitement du signal et des images, Aug 2019, Lille, France. pp.265-268 |
Cartographie et étalonnage de capteurs conjoints par traitement des données issues de capteurs mobilesColloque National Capteurs et Sciences Participatives, Apr 2019, Paris, France |
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Fast & furious: accelerating weighted NMF using random projectionsWorkshop on Low-Rank Models and Applications (LRMA), Sep 2019, Mons, Belgium |
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Faster-than-fast NMF using random projections and Nesterov iterationsiTWIST: international Traveling Workshop on Interactions between low-complexity data models and Sensing Techniques, Nov 2018, Marseille, France |
Source contributions to PM10 levels in a coastal area in northern France: a one year study28th SETAC Europe Annual Meeting, May 2018, Roma, Italy |
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Calibration en ligne d’un réseau de capteurs mobiles par factorisation matricielleIndividual Air Pollution Sensors: Innovation or Revolution?, Nov 2018, Villeneuve d'Ascq, France |
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Méthodes informées de factorisation matricielle pour l'étalonnage aveugle d'un réseau de capteurs mobilesGdR ISIS, journée "Inversion et problèmes multi-*", GDR-ISIS: Information Signal Image ViSion, Mar 2017, Paris, France |
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Méthodes informées de factorisation matricielle pour l'étalonnage aveugle d'un réseau de capteurs mobilesDoctorale en Traitement du signal et de l’image 2017 GRAISyHM TSI 2017, Apr 2017, Lille, France |
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Outlier-Robust Calibration Method for Sensor Networks2017 IEEE International Workshop of Electronics, Control, Measurement, Signals and their application to Mechatronics (ECMSM), May 2017, San Sebastian, Spain. pp.1-7, ⟨10.1109/ECMSM.2017.7945907⟩ |
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Environmental signal processing: new trends and applications25th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2017), Apr 2017, Bruges, Belgium. pp.205-214 |
A one year study to estimate maritime contributions to PM10 levels in a coastal area in northern FranceInternational Conference on Atmospheric Chemical and Biological Processes: Interactions and Impacts (ATMOCHEMBIO), Institute of Chemistry of Clermont-Ferrand (ICCF); Laboratory of Physical Meteorology (LaMP); Laboratory of Marine Environmental Sciences (LEMAR), Jun 2017, Clermont-Ferrand, France |
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Matrix Factorisation-based Calibration For Air Quality Crowd-sensingEuropean Geosciences Union General Assembly - EGU 2017, Apr 2017, Vienna, Austria. pp.EGU2017-16389 |
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Fast Nonnegative Matrix Factorization and Completion Using Nesterov Iterations13th International Conference on Latent Variable Analysis and Signal Separation (LVA/ICA 2017), Feb 2017, Grenoble, France. pp.26-35, ⟨10.1007/978-3-319-53547-0_3⟩ |
Robust informed split gradient NMF using Alpha Beta-divergence for source apportionmentInternational Workshop on Machine Learning for Signal Processing (MLSP 2016), Sep 2016, Vietri Sul Mare, Italy. pp.1-6, ⟨10.1109/MLSP.2016.7738843⟩ |
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Informed split gradient non-negative matrix factorization using Huber cost function for source apportionmentThe 16th IEEE International Symposium on Signal Processing and Information Technology (ISSPIT 2016), IEEE, Dec 2016, Limassol, Cyprus. pp.69-74, ⟨10.1109/ISSPIT.2016.7886011⟩ |
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Nonlinear mobile sensor calibration using informed semi-nonnegative matrix factorization with a Vandermonde factor9th IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM 2016), Jul 2016, Rio de Janeiro, Brazil. pp.1-5, ⟨10.1109/SAM.2016.7569735⟩ |
Origins of PM 10 in northern coast of France: a one year study to estimate maritime contributions in the Strait of Dover22nd European Aerosol Conference (EAC 2016), Association for Aerosol Research (ASFERA), Sep 2016, Tours, France |
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Blind mobile sensor calibration using an informed nonnegative matrix factorization with a relaxed rendezvous model41st IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2016), Mar 2016, Shanghai, China. pp.2941-2945, ⟨10.1109/ICASSP.2016.7472216⟩ |
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Blind calibration of mobile sensors using informed nonnegative matrix factorization12th International Conference on Latent Variable Analysis and Signal Separation (LVA/ICA 2015), Aug 2015, Liberec, Czech Republic. pp.497-505, ⟨10.1007/978-3-319-22482-4_58⟩ |
Split gradient method for informed non-negative matrix factorization12th International Conference on Latent Variable Analysis and Signal Separation (LVA/ICA 2015), Aug 2015, Liberec, Czech Republic. pp.376-383, ⟨10.1007/978-3-319-22482-4_44⟩ |
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Bound constrained weighted NMF for industrial source apportionment24th IEEE International Workshop on Machine Learning for Signal Processing (MLSP 2014), Sep 2014, Reims, France. ⟨10.1109/MLSP.2014.6958851⟩ |
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Enhanced NMF initialization using a physical model for pollution source apportionment22nd European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2014), Apr 2014, Brugge, Belgium. pp.231-236 |
Méthodes informées de factorisation matricielle non-négative. Application à l'identification de sources de particules industriellesjournée GT Identification, GdR MACS, Nov 2014, Paris, France |
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Effects of audio coding on ICA performance: an experimental study11th IEEE Int. Workshop on Electronics, Control, Measurement, Signals and their application to Mechatronics, Jun 2013, Toulouse, France |
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Non-negative matrix factorization using weighted beta divergence and equality constraints for industrial source apportionment23rd IEEE International Workshop on Machine Learning for Signal Processing (MLSP 2013), Sep 2013, Southampton, United Kingdom. ⟨10.1109/MLSP.2013.6661903⟩ |
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Nonlinear blind mixture identification using local source sparsity and functional data clustering7th IEEE Sensor Array and Multichannel Signal Processing, 2012, Hoboken, United States. pp. 481-484 |
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Source counting in real-time sound source localization using a circular microphone array7th IEEE Sensor Array and Multichannel Signal Processing (SAM 2012), 2012, Hoboken, NJ, United States. pp.521-524, ⟨10.1109/SAM.2012.6250555⟩ |
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Real-time multiple speaker DOA estimation in a circular microphone array based on matching pursuit20th European Signal Processing Conference (EUSIPCO 2012), Aug 2012, Bucarest, Romania. pp.2303-2307 |
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Real-time multiple sound source localization using a circular microphone array based on single-source confidence measuresIEEE International Conference on Acoustics, Speech, and Signal Processing, 2012, Kyoto, Japan. pp. 2625-2628, ⟨10.1109/ICASSP.2012.6288455⟩ |
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Post-nonlinear speech mixture identification using single-source temporal zones & curve clusteringEUSIPCO 2011, 2011, Barcelone, Spain. pp. 1844-1848 |
Blind separation methods based on correlation for sparse possibly-correlated imagesIEEE International Conference on Acoustics, Speech, and Signal Processing, Mar 2010, Dallas, United States. pp. 1334 - 1337, ⟨10.1109/ICASSP.2010.5495438⟩ |
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Iterative-Shift Cluster-Based Time-Frequency BSS for Fractional-Time-Delay Mixtures8th Int. Conf. on Independent Component Analysis and Signal Separation (ICA), 2009, Paraty, Brazil. Lecture Notes in Computer Science, 2009, Volume 5441/2009, 306-313 |
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Source separation algorithms for the analysis of hyperspectral observations of very small interstellar dust particlesWorkshop on Hyperspectral Image and Signal Processing : Evolution in Remote Sensing, Aug 2009, Grenoble, France. ⟨10.1109/WHISPERS.2009.5289097⟩ |
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Cross-validation of blindly separated interstellar dust spectra9th International Workshop on Electronics, Control, Modelling, Measurement and Signals (ECMS 2009), Jul 2009, Mondragon, Spain. pp. 41-48 |
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Validity of the independence assumption for the separation of instantaneous and convolutive mixtures of speech and music sources8th Int. Conf. on Independent Component Analysis and Signal Separation (ICA), Mar 2009, Paraty, Brazil. pp.613--620 |
A new time-frequency correlation-based source separation method for attenuated and time-shifted mixturesProceedings of the 8th International Worshop on Electronics, Control, Modelling, Measurement and Signals, May 2007, Liberec, Czech Republic. ISBN 978-80-7372-218-0, pp. 34-39 |
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A time-scale correlation-based blind separation method applicable to correlated sources14th European Symposium on Artificial Neural Networks (ESANN 2006), Apr 2006, Bruges, Belgium. pp.337-344 |
A time-frequency correlation-based blind source separation method for time-delayed mixturesProceedings of the 2006 IEEE International Conference on Acoustics, Speech, and Signal Processing, May 2006, Toulouse, France. pp. V-853 - V-856, ISBN : 1-4244-0469-X |
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Two time-frequency ratio-based blind source separation methods for time-delayed mixturesProceedings of the Sixth International Conference on Independent Component Analysis and Blind Signal Separation (ICA 2006), Mar 2006, Charleston, United States. pp.682-690, ⟨10.1007/11679363⟩ |
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A time-frequency ratio-based source separation method for time-delayed mixtures exploiting constant-time zonesProceedings of the 7th International Workshop on Electronics, Control, Modelling, Measurement and Signals (ECMS 2005), May 2005, Toulouse, France |
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Time-frequency blind signal separation : extended methods, performance evaluation for speech sourcesProceedings of the International Joint Conference on Neural Networks (IJCNN 2004), Jul 2004, Budapest, Hungary. pp. 255-260, ⟨10.1109/IJCNN.2004.1379909⟩ |
Coupled VAE and interpolator approach for fast hyperspectral image emulationLiving Planet Symposium : From Observation to Climate Action and Sustainability for Earth, Jun 2025, Vienna (AUSTRIA), Austria |
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MuSeM: Jeu de données multi-capteur avec caméra multispectrale instantanée pour la robotique mobileJournées Régionales Drones et Véhicules Autonomes (JRDVA), Apr 2025, Dunkerque (59140), France |
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Télédétection hyperspectrale à l'aide d'une caméra Linescan embarquée sur drone pour l'observation environnementaleJournées Régionales Drones et Véhicules Autonomes (JRDVA), Apr 2025, Dunkerque, France. |
Restauration de spectres à partir des valeurs brutes d'une camera hyperspectrale Application au filtrage des harmoniques d'une caméra basée sur les filtres de Fabry-PerotPôle MTE - Journée des doctorants 2022, Jul 2022, Dunkerque, France |
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Inversion de grille de filtres de Fabry-Perot pour la reconstruction de cubes hyperspectraux8ème Journée Régionale des Doctorants en Automatique et Traitement du Signal (JRDA), Jun 2022, Douai, France. 2022 |
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A Dedicated Joint Unmixing and Demosaicing Method for Snapshot Spectral Images8ème Journée Régionale des Doctorants en Automatique et Traitement du Signal (JRDA), Jun 2022, Douai, France |
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Assemblage semi-automatique d'images d'une scène agricole pour la construction du cube hyperspectral à partir d'une caméra compacte spatio-spectrale7ème Journée Régionale des Doctorants en Automatique et Traitement du Signal (JRDA), Nov 2021, Compiègne, France |
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Joint Demosaicing and Unmixing in Hyperspectral Videos7ème Journée Régionale des Doctorants en Automatique et Traitement du Signal (JRDA), Nov 2021, Compiègne, France |
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NMF for Big Data with Missing Entries: A Random Projection Based Approach6ème Journée Régionale des Doctorants en Automatique et Traitement du Signal (JRDA), Jul 2019, Lille, France |
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Do random projections fasten an already fast NMF technique using Nesterov optimal gradient?5ème Journée Régionale des Doctorants en Automatique et Traitement du Signal (JRDA), Jul 2018, Amiens, France |
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Sensor Calibration using Informed Matrix Factorisation for Air Quality Crowdsensing4ème Journée Régionale des Doctorants en Automatique et Traitement du signal, Jun 2017, Béthune, France. 2017 |
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Traitement de signaux irrégulièrement échantillonnés issus du mobile crowd-sensing pour la surveillance de la qualité de l’airInnovatives Big Data, Oct 2016, Paris, France. |
Méthodes de traitement et de fusion de signaux irrégulièrement échantillonnés issus du crowdsensing. Application à la surveillance citoyenne de la qualité de l'air3ème Journée Régionale des Doctorants en Automatique et Traitement du Signal, Jun 2016, Lille, France |
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Chemical characterization and source apportionment of PM2.5 in urban sites under influences4th Sino-French Joint Workshop on Atmospheric Environment Changing complexity of air pollution : sources, chemistry, impacts & regulations, Dec 2014, Lyon, France |
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Principles and performance of the LI-TIFROM softwarepresented during (but not included in the proceeding of) the 8th International Conference on Independent Component Analysis and Blind Source Separation (ICA 2009), Mar 2009, Paraty, Brazil |
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Méthodes de séparation aveugle de sources fondées sur des transformées temps-fréquence. Application à des signaux de parole.Astrophysique [astro-ph]. Université Paul Sabatier - Toulouse III, 2007. Français. ⟨NNT : ⟩ |
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Post-Nonlinear Sparse Component Analysis Using Single-Source Zones and Functional Data Clustering2012 |
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Méthodes d'analyse en variables latentes fondées sur la parcimonie et/ou la faiblesse de rang. Application aux problèmes inverses multivariésTraitement du signal et de l'image [eess.SP]. Université du Littoral Côte d'Opale, 2023 |
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Low-rank model applications in signal processingDoctoral. 18ème Édition de l’École d’Été en Traitement du Signal et des Images : Modèles d'approximation de rang faible et optimisation numérique, Peyresq, France. 2024 |