Matthieu PUIGT's Home page

Matthieu PUIGT

Full Professor, Ph.D. in Signal Processing
Accreditation to supervise research

LISIC, ULCO
50 rue Ferdinand Buisson, B.P. 719,
62228 Calais Cedex, France

Phone: (+33) [0]3 21 46 56 75
Fax: (+33) [0]3 21 46 06 86
E-mail: matthieu [dot] puigt [at] univ-littoral.fr

Publications

Some publications are available in electronic format. This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.

Comments about problems when downloading/printing these files and requests for other files should be sent to matthieu [dot] puigt [at] univ [hyphen] littoral [dot] fr

List of publications in BibTeX format

List of publications sorted by number of citations (according to Google Scholar)

List of publications on HAL

Guest editor of a journal

M. Puigt, G. Tzagkarakis, G. Delmaire, G Roussel, Machine Learning, Signal, and/or Image Processing Methods to Enhance Environmental Sensors, Special issue in the journal Sensors, 2021-2023.

Publications in referred journals

M. Puigt, Y. Deville, Time-frequency ratio-based blind separation methods for attenuated and time-delayed sources, Mechanical System and Signal Processing (MSSP), Volume 19, Issue 6, pp. 1348-1379, November 2005.
Elsevier on-line version, authors' final version (© Copyright Elsevier).

Y. Deville, M. Puigt, Temporal and time-frequency correlation-based blind source separation methods. Part I : Determined and underdetermined linear instantaneous mixtures, Signal Processing, Volume 87, Issue 3, pp. 374-407, March 2007.
Elsevier on-line version, authors' final version (© Copyright Elsevier).

D. Pavlidi, A. Griffin, M. Puigt, A. Mouchtaris, Real-time multiple sound source localization and counting using a circular microphone array, IEEE Transactions on Audio, Speech, and Language Processing, Volume 21, Issue 10, pp. 2193-2206, October 2013.
IEEE on-line version, authors' final version (© Copyright IEEE).

A. Limem, G. Delmaire, M. Puigt, G. Roussel, D. Courcot, Non-negative matrix factorization under equality constraints–a study of industrial source identification, Applied Numerical Mathematics (APNUM), Volume 85, pp. 1-15, November 2014.
Elsevier on-line version, authors' final version (© Copyright Elsevier).

C. Dorffer, M. Puigt, G. Delmaire, G. Roussel, Informed Nonnegative Matrix Factorization Methods for Mobile Sensor Network Calibration, IEEE Transactions on Signal and Information Processing over Networks, Volume 4, Issue 4, pp. 667-682, December 2018.
IEEE on-line version, authors' version, HAL e-print (© Copyright IEEE). [Matlab code]

G. Delmaire, M. Omidvar, M. Puigt, F. Ledoux, A. Limem, G. Roussel, D. Courcot, Informed Weighted Non-negative Matrix Factorization Using αβ-Divergence Applied to Source Apportionment, Entropy, Volume 21, Issue 3, Article number 253, special issue on "Information Theory Applications in Signal Processing", March 2019.
MDPI on-line version, authors' version.

P. Chatelain, G. Delmaire, A. Alboody, M. Puigt, G. Roussel, Semi-automatic Spectral Image stitching for a compact hybrid linescan hyperspectral camera. Application to remote monitoring of potatoe crop leafs in micro agriculture, Sensors, Volume 21, Issue 22, Article number 7616, special issue on "Machine Learning, Signal, and/or Image Processing Methods to Enhance Environmental Sensors", November 2021.
MDPI on-line version, authors' version.

K. Abbas, M. Puigt, G. Delmaire, G. Roussel, Locally-Rank-One-Based Joint Unmixing and Demosaicing Methods for Snapshot Spectral Images. Part I: a Matrix-Completion Framework, IEEE Transactions on Computational Imaging, vol. 10, pp. 848-862, 2024.
IEEE on-line version (© Copyright IEEE).

K. Abbas, M. Puigt, G. Delmaire, G. Roussel, Locally-Rank-One-Based Joint Unmixing and Demosaicing Methods for Snapshot Spectral Images. Part II: a Filtering-Based Framework, IEEE Transactions on Computational Imaging, vol. 10, pp. 806-817, 2024.
IEEE on-line version (© Copyright IEEE).

K. Abbas, M. Puigt, G. Delmaire, G. Roussel, Fabry-Perot Spectral Deconvolution with Entropy-weighted Penalization, IEEE Sensors Letters, vol. 8, number 9, pp. 1-4, 2024.
IEEE on-line version (© Copyright IEEE).

F. Yahaya, M. Puigt, G. Delmaire, G. Roussel, A Framework for Compressed Weighted Nonnegative Matrix Factorization, IEEE Transactions on Signal Processing, vol. 72, pp. 4798-4811, 2024.
IEEE on-line version (© Copyright IEEE).

M. Puigt, B. Bigot, H. Devulder, Introducing the "Cockpit Party Problem": Blind Source Separation Enhances Aircraft Cockpit Speech Transcription, Journal of the Audio Engineering Society, to appear.

Invited papers

M. Puigt, G. Delmaire, G. Roussel, Environmental signal processing: new trends and applications, Proceedings of the 25th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2017), pp. 205-214, Bruges, Belgium, April 26-28, 2017.
Introductory paper of the special session entitled "Environmental signal processing: new trends and applications" organized by G. Delmaire, M. Puigt, and G. Roussel.
ESANN on-line version, authors' version (© Copyright i6doc)

Publications in international conferences with proceedings

Y. Deville, M. Puigt, B. Albouy, Time-frequency blind signal separation : extended methods, performance evaluation for speech sources, Proceedings of the International Joint Conference on Neural Networks (IJCNN 2004), IEEE Catalog Number : 04CH37541C, ISBN : 0-7803-8360-5, pp. 255-260, Budapest, Hungary, 25-29 July 2004.
IEEE on-line version (© Copyright IEEE). [Matlab code]

M. Puigt, Y. Deville, A time-frequency ratio-based source separation method for time-delayed mixtures exploiting constant-time zones, Proceedings of the 7th International Workshop on Electronics, Control, Modelling, Measurement and Signals (ECMS 2005), Toulouse, France, May 17-20, 2005.
Authors' version

M. Puigt, Y. Deville, Two time-frequency ratio-based blind source separation methods for time-delayed mixtures, Proceedings of the 6th International Conference on Independent Component Analysis and Blind Source Separation (ICA 2006), Springer-Verlag Berlin Heidelberg, vol. LNCS 3889, pp. 682-690, Charleston, South Carolina, USA, March 5-8, 2006.
Springer-Verlag on-line version, authors' version (© Copyright Springer).

Y. Deville, D. Bissessur, M. Puigt, S. Hosseini, H. Carfantan, A time-scale correlation-based blind separation method applicable to correlated sources, Proceedings of the European Symposium on Artificial Neural Networks (ESANN2006), pp. 337-344, Bruges, Belgium, April 25-28, 2006.
ESANN on-line version (© Copyright D-side s.a.).

M. Puigt, Y. Deville, A time-frequency correlation-based blind source separation method for time-delayed mixtures, Proceedings of the 2006 IEEE International Conference on Acoustics, Sound and Signal Processing (ICASSP 2006), ISBN : 1-4244-0469-X, pp. V-853 - V-856, Toulouse, France, May 14-19, 2006.
IEEE on-line version (© Copyright IEEE).

M. Puigt, Y. Deville, A new time-frequency correlation-based source separation method for attenuated and time shifted mixtures, Proceedings of the 8th International Workshop on Electronics, Control, Modelling, Measurement and Signals (ECMS 2007), pp. 34-39, Liberec, Czech Republic, May 21-23, 2007.

M. Puigt, Y. Deville, Iterative-Shift Cluster-Based Time-Frequency BSS for Fractional-Time-Delay Mixtures, Proceedings of the 8th International Conference on Independent Component Analysis and Blind Source Separation (ICA 2009), Springer-Verlag Berlin Heidelberg, vol. LNCS 5441, pp. 306-313, Paraty, Brazil, March 15-18, 2009.
Springer-Verlag on-line version (© Copyright Springer).

M. Puigt, E. Vincent, Y. Deville, Validity of the Independence Assumption for the Separation of Instantaneous and Convolutive Mixtures of Speech and Music Sources, Proceedings of the 8th International Conference on Independent Component Analysis and Blind Source Separation (ICA 2009), Springer-Verlag Berlin Heidelberg, vol. LNCS 5441, pp. 613-620, Paraty, Brazil, March 15-18, 2009.
Springer-Verlag on-line version, authors' version (© Copyright Springer).

M. Puigt, O. Berné, R. Guidara, Y. Deville, S. Hosseini, C. Joblin, Cross-validation of blindly separated interstellar dust spectra, Proceedings of the 9th International Workshop on Electronics, Control, Modelling, Measurement and Signals (ECMS 2009), pp. 41-48, Mondragon, Spain, July 8-10, 2009.
Authors' version.

O. Berné, C. Joblin, A. Tielens, Y. Deville, M. Puigt, R. Guidara, S. Hosseini, G. Mulas, J. Cami, Source separation algorithms for the analysis of hyperspectral observations of very small interstellar dust particles, Proceedings of the 1st Workshop on Hyperspectral Image and Signal Processing : Evolution in Remote Sensing (IEEE WHISPERS 2009), Grenoble, France, August 26-28, 2009.
IEEE on-line version, authors' version (© Copyright IEEE).

I. Meganem, Y. Deville, M. Puigt, Blind separation methods based on correlation for sparse possibly-correlated images, Proceedings of the 2010 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2010), pp. 1334-1337, Dallas, Texas, USA, March 14-19, 2010.
IEEE on-line version (© Copyright IEEE).

M. Puigt, A. Griffin, A. Mouchtaris, Post-nonlinear speech mixture identification using single-source temporal zones & curve clustering, Proceedings of the 19th European Signal Processing Conference (EUSIPCO 2011), pp. 1844-1848, Barcelona, Spain, August 29 - September 2, 2011.
EURASIP on-line version, authors' version (© Copyright EURASIP).

D. Pavlidi, M. Puigt, A. Griffin, A. Mouchtaris, Real-time multiple sound source localization using a circular microphone array based on single-source confidence measures, Proceedings of the 2012 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2012), pp. 2625-2628, Kyoto, Japan, March 25-30, 2012.
IEEE on-line version, authors' version (© Copyright IEEE).

M. Puigt, A. Griffin, A. Mouchtaris, Nonlinear blind mixture identification using local source sparsity and functional data clustering, Proceedings of the 7th IEEE Sensor Array and Multichannel Signal Processing (SAM 2012), pp. 481-484, Hoboken, NJ, USA, June 17-20, 2012.
IEEE on-line version, authors' version (© Copyright IEEE).

D. Pavlidi, A. Griffin, M. Puigt, A. Mouchtaris, Source counting in real-time sound source localization using a circular microphone array, Proceedings of the 7th IEEE Sensor Array and Multichannel Signal Processing (SAM 2012), pp. 521-524, Hoboken, NJ, USA, June 17-20, 2012.
IEEE on-line version, authors' version (© Copyright IEEE).

A. Griffin, D. Pavlidi, M. Puigt, A. Mouchtaris, Real-time multiple speaker DOA estimation in a circular microphone array based on matching pursuit, Proceedings of the 20th European Signal Processing Conference (EUSIPCO 2012), pp. 2303-2307, Bucharest, Romania, August 27-31, 2012.
EURASIP on-line version, authors' version (© Copyright EURASIP).

M. Puigt, E. Vincent, Y. Deville, A. Griffin, A. Mouchtaris, Effects of audio coding on ICA performance: an experimental study, Proceedings of the 11th IEEE International Workshop on Electronics, Control, Measurement, Signals and their application to Mechatronics (ECMSM 2013), Toulouse, France, June 24-26, 2013.
IEEE on-line version, authors' version (© Copyright IEEE).

A. Limem, G. Delmaire, M. Puigt, G. Roussel, D. Courcot, Non-negative matrix factorization using weighted beta divergence and equality constraints for industrial source apportionment, Proceedings of the 23rd IEEE International Workshop on Machine Learning for Signal Processing (MLSP 2013), Southampton, UK, September 22-25, 2013.
IEEE on-line version, authors' version (© Copyright IEEE).

M. Plouvin, A. Limem, M. Puigt, G. Delmaire, G. Roussel, D. Courcot, Enhanced NMF initialization using a physical model for pollution source apportionment, Proceedings of the 22nd European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2014), pp. 261-266, Bruges, Belgium, April 23-25, 2014.
ESANN on-line version (© Copyright i6doc).

A. Limem, M. Puigt, G. Delmaire, G. Roussel, D. Courcot, Bound constrained weighted NMF for industrial source apportionment, Proceedings of the 24th IEEE International Workshop on Machine Learning for Signal Processing (MLSP 2014), Reims, France, September 21-24, 2014.
IEEE on-line version, authors' version (© Copyright IEEE).

R. Chreiky, G. Delmaire, M. Puigt, G. Roussel, D. Courcot, A. Abche, Split gradient method for informed non-negative matrix factorization, Proceedings of the 12th International Conference on Latent Variable Analysis and Signal Separation (LVA/ICA 2015), Springer International Publishing Switzerland, vol. LNCS 9237, pp. 376-383, Liberec, Czech Republic, August 25-28, 2015.
Springer on-line version (© Copyright Springer).

C. Dorffer, M. Puigt, G. Delmaire, G. Roussel, Blind calibration of mobile sensors using informed nonnegative matrix factorization, Proceedings of the 12th International Conference on Latent Variable Analysis and Signal Separation (LVA/ICA 2015), Springer International Publishing Switzerland, vol. LNCS 9237, pp. 497-505, Liberec, Czech Republic, August 25-28, 2015.
Springer on-line version, authors' version (© Copyright Springer). [Matlab code]

C. Dorffer, M. Puigt, G. Delmaire, G. Roussel, Blind mobile sensor calibration using an informed nonnegative matrix factorization with a relaxed rendezvous model, Proceedings of the 41st IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2016), pp. 2941-2945, Shanghai, China, March 20-25, 2016.
IEEE on-line version, authors' version (© Copyright IEEE). [Matlab code]

C. Dorffer, M. Puigt, G. Delmaire, G. Roussel, Nonlinear mobile sensor calibration using informed semi-nonnegative matrix factorization with a Vandermonde factor, Proceedings of the 9th IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM 2016), Rio de Janeiro, Brazil, July 10-13, 2016.
IEEE on-line version (© Copyright IEEE).

R. Chreiky, G. Delmaire, C. Dorffer, M. Puigt, G. Roussel, A. Abche, Robust informed split gradient NMF using Alpha Beta-divergence for source apportionment, Proceedings of the 26th IEEE International Workshop on Machine Learning for Signal Processing (MLSP 2016), Vietri Sul Mare, Salerno, Italy, September 13-16, 2016.
IEEE on-line version (© Copyright IEEE).

R. Chreiky, G. Delmaire, M. Puigt, G. Roussel, A. Abche, Informed split gradient non-negatice matrix factorization using Huber cost function for source apportionment, Proceedings of the 16th IEEE International Symposium on Signal Processing and Information Technology (ISSPIT 2016), pp. 69-74, Limassol, Cyprus, December 12-14, 2016.
IEEE on-line version, authors' version (© Copyright IEEE).

C. Dorffer, M. Puigt, G. Delmaire, G. Roussel, Fast nonnegative matrix factorization and completion using Nesterov iterations, Proceedings of the 13th International Conference on Latent Variable Analysis and Signal Separation (LVA/ICA 2017), Springer International Publishing AG, vol. LNCS 10179, pp. 26-35, Grenoble, France, February 21-24, 2017.
Springer on-line version, authors' version (© Copyright Springer)

C. Dorffer, M. Puigt, G. Delmaire, G. Roussel, Outlier-robust calibration method for sensor networks, Proceedings of the 2017 IEEE International Workshop of Electronics, Control, Measurement, Signals and their application to Mechatronics (ECMSM), San Sebastian, Spain, May 24-27, 2017.
IEEE on-line version, authors' version (© Copyright IEEE)

F. Yahaya, M. Puigt, G. Delmaire, G. Roussel, Faster-than-fast NMF using random projections and Nesterov iterations, Proceedings of iTWIST: international Traveling Workshop on Interactions between low-complexity data models and Sensing Techniques, Marseille, France, November 21-23, 2018.
iTwist on-line proceedings, authors' version. [Matlab code]

F. Yahaya, M. Puigt, G. Delmaire, G. Roussel, How to apply random projections to nonnegative matrix factorization with missing entries?, Proceedings of 27th European Signal Processing Conference (EUSIPCO), A Coruña, Spain, September 2-6, 2019.
IEEE on-line version, EURASIP on-line version, authors' version (© Copyright IEEE)

F. Yahaya, M. Puigt, G. Delmaire, G. Roussel, Gaussian compression stream: principle and preliminary results, Proceedings of iTWIST: international Traveling Workshop on Interactions between low-complexity data models and Sensing Techniques, Nantes, France / Virtual, December 2-4, 2020.
iTwist on-line proceedings, authors' version, video of the talk.

A. Alboody, M. Puigt, G. Roussel, V. Vantrepotte, C. Jamet, T. K. Tran, Experimental comparison of multi-sharpening methods applied to Sentinel-2 MSI and Sentinel-3 OLCI images, Proceedings of the 11th Workshop on Hyperspectral Image and Signal Processing: Evolutions in Remote Sensing (IEEE WHISPERS 2021), Amsterdam, Netherlands / Virtual, March 24-26, 2021.
IEEE on-line version, authors' version (© Copyright IEEE).

F. Yahaya, M. Puigt, G. Delmaire, G. Roussel, Random Projection Streams for (Weighted) Nonnegative Matrix Factorization, Proceedings of the 46th IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2021), pp. 3280-3284, Toronto, Canada / Virtual, June 6-11, 2021.
IEEE on-line version (© Copyright IEEE).

O. Vu thanh, M. Puigt, F. Yahaya, G. Delmaire, G. Roussel, In situ calibration of cross-sensitive sensors in mobile sensor arrays using fast informed non-negative matrix factorization, Proceedings of the 46th IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2021), Toronto, Canada / Virtual, pp. 3515-3519, June 6-11, 2021.
IEEE on-line version (© Copyright IEEE).

C. T. Cissé, A. Alboody, M. Puigt, G. Roussel, V. Vantrepotte, C. Jamet, T. K. Tran, A new deep learning method for multispectral image time series completion using hyperspectral data, Proceedings of the 47th IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2022), Singapore / Virtual, pp. 1546-1550, May 2022.
IEEE on-line version (© Copyright IEEE).

K. Abbas, M. Puigt, G. Delmaire, G. Roussel, Filtering-based endmember identification method for snapshot spectral images, Proceedings of the 12th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS 2022), Roma, Italy, September 13-16, 2022.
Outstanding Paper Award (Jose Bioucas Dias Paper award)
IEEE on-line version (© Copyright IEEE).

A. Alboody, M. Puigt, G. Roussel, V. Vantrepotte, C. Jamet, T. K. Tran, DeepSen3: Deep multi-scale learning model for spatial-spectral fusion of Sentinel-2 and Sentinel-3 remote sensing images, Proceedings of the 12th Workshop on Hyperspectral Image and Signal Processing: Evolutions in Remote Sensing (IEEE WHISPERS 2022), Roma, Italy / Virtual, September 13-16, 2022.
IEEE on-line version (© Copyright IEEE).

K. Abbas, M. Puigt, G. Delmaire, G. Roussel, Joint unmixing and demosaicing methods for snapshot spectral images, Proceedings of the 48th IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2023), Rhodes, Greece, June 2023.
IEEE on-line version (© Copyright IEEE).

N. Mashhadi, C. Fonlupt, M. Puigt, G. Roussel, S. Verel, Agent-based modeling and simulation for urban air quality assessment, in Proceedings of the 7th International Conference on Logistics Operations Management: Smart Sustainable and Green Logistics (GOL'24), Marrakech, Morocco, May 2024.
Springer on-line version (© Copyright Springer).

E. Adje, G. Delmaire, A. Ahouandjinou, M. Puigt, G. Roussel, Towards Automatic Butterfly Species Recognition Using a Single Spatio-Hyperspectral Image, in Proceedings of the 32nd European Signal Processing Conference (EUSIPCO 2024), pp. 1252-1256, Lyon, France, August 2024.
IEEE on-line version, EURASIP on-line version (© Copyright IEEE).

E. Adje, G. Delmaire, A. Ahouandjinou, M. Puigt, G. Roussel, Robust approach for butterfly species classification using a single spatio-hyperspectral image, to appear in Proceedings 14th Workshop on Hyperspectral Image and Signal Processing: Evolutions in Remote Sensing (IEEE WHISPERS 2024), Helsinki, Finland, December 9-11, 2024.

C. Ben Azizi, C. Guilloteau, G. Roussel, M. Puigt, Coupled VAE and interpolator approach for fast hyperspectral image emulation, to appear in Proceedings 14th Workshop on Hyperspectral Image and Signal Processing: Evolutions in Remote Sensing (IEEE WHISPERS 2024), Helsinki, Finland, December 9-11, 2024.

Publications in national conferences with proceedings

F. Yahaya, M. Puigt, G. Delmaire, G. Roussel, Accélération de la factorisation pondérée en matrices non-négatives par projections aléatoires, Actes du XXVIIème colloque GRETSI, Lille, France, 22-27 août 2019.
GRETSI on-line proceedings, Authors' version

B. Bigot, H. Devulder, M. Puigt, Amélioration de l'intelligibilité de la parole dans des enregistrements de "boìtes noires aéronautiques" à l'aide de méthodes de Séparation Aveugle de Sources, 34èmes Journées d'Etudes sur la Parole (JEP), Noirmoutier, France, 13-17 juin 2022.
ISCA public archive, Author's version

M. Puigt, B. Bigot, H. Devulder, Apport de la séparation de sources au traitement des signaux audiophoniques issus de "boìtes noires aéronautiques", Actes du XXVIIIème colloque GRETSI, pp. 1001-1004, Nancy, France, 6-9 septembre 2022.
GRETSI on-line proceedings, Authors' version

K. Abbas, M. Puigt, G. Delmaire, G. Roussel, Méthode de démélange et dématriçage conjoints fondée sur la complétion de rang un pour les images multispectrales "snapshot", Actes du XXVIIIème colloque GRETSI, pp. 925-928, Nancy, France, 6-9 septembre 2022.
GRETSI on-line proceedings, Authors' version

P. Chatelain, G. Delmaire, M. Puigt, G. Roussel, Inversion de réseaux de filtres de Fabry-Perot pour la restauration de cubes hyperspectraux, Actes du XXVIIIème colloque GRETSI, pp. 858-888, Nancy, France, 6-9 septembre 2022.
GRETSI on-line proceedings, Authors' version

C. T Cissé, A. Alboody, M. Puigt, G. Roussel, V. Vantrepotte, C. Jamet, T. K. Tran, Complétion par apprentissage profond de séries temporelles d'images multi-spectrales à partir d'images hyper-spectrales, Actes du XXVIIIème colloque GRETSI, pp. 1305-1308, Nancy, France, 6-9 septembre 2022.
GRETSI on-line proceedings, Authors' version

K. Abbas, M. Puigt, G. Delmaire, G. Roussel, Méthodes parcimonieuses de déconvolution et démélange pour les images multispectrales "snapshot", Actes du XXIXème colloque GRETSI, pp. 749-752, Grenoble, France, 29 août-1er septembre 2023.
GRETSI on-line proceedings, Authors' version

P. Chatelain, G. Delmaire, A. Al Khansa, M. Puigt, G. Roussel, Homographies structurées pour l'alignement de couches spectrales, Actes du XXIXème colloque GRETSI, pp. 1073-1076, Grenoble, France, 29 août-1er septembre 2023.
GRETSI on-line proceedings, Authors' version

A. Hadir, A. Alboody, M. Puigt, G. Roussel, V. Vantrepotte, C. Jamet, T. K. Tran, Réseau antagoniste génératif pour la fusion spatio-temporelle d'images satellitaires multi-spectrales, Actes du XXIXème colloque GRETSI, pp. 773-776, Grenoble, France, 29 août-1er septembre 2023.
GRETSI on-line proceedings, Authors' version

Communications in international conferences without proceedings

M. Puigt, Y. Deville, Principles and performance of the LI-TIFROM software, 2008 Signal Separation Evaluation Campain (SiSEC 2008), presented during (but not included in the proceeding of) the 8th International Conference on Independent Component Analysis and Blind Source Separation (ICA 2009), Paraty, Brazil, March 15-18, 2009.

C. Roche, F. Ledoux, M. Borgie, G. Delmaire, G. Roussel, M. Puigt, D. Courcot, Origins of PM10 in northern coast of France: a one year study to estimate maritime contributions in the Strait of Dover, 22nd European Aerosol Conference, Tours, France, September 4-9, 2016.

C. Dorffer, M. Puigt, G. Delmaire, G. Roussel, R. Rouvoy, I. Sagnier, Matrix Factorisation-based Calibration For Air Quality Crowd-sensing, European Geosciences Union General Assembly (EGU 2017), Vienna, Austria, April 23-28, 2017.

D. Courcot, C. Roche, M. Borgie, G. Delmaire, G. Roussel, M. Puigt, C. Beaugard, O. Favez, Olivier, F. Ledoux, A one year study to estimate maritime contributions to PM10 levels in a coastal area in northern France, International Conference on Atmospheric Chemical and Biological Processes: Interactions and Impacts (ATMOCHEMBIO), Clermont-Ferrand, France, June 19-21, 2017.

F. Ledoux, C. Roche, M. Borgie, L. Moufarrej, G. Delmaire, G. Roussel, M. Puigt, C. Beaugard, D. Dewaele, P. Gennevray, O. Favez, D. Courcot, Source contributions to PM10 levels in a coastal area in northern France: a one year study, 28th SETAC Europe Annual Meeting, Roma, Italy, May 13-17, 2018.

F. Yahaya, C. Dorffer, M. Puigt, G. Delmaire, G. Roussel, Online calibration of a mobile sensor network by matrix factorization, presented during the international Symposium entitled "Individual Air Pollution Sensors: Innovation or Revolution?", Villeneuve-d'Ascq, France, November 29-30, 2018.
Video of the talk, [Matlab code]

F. Yahaya, M. Puigt, G. Delmaire, G. Roussel, Fast & furious: accelerating weighted NMF using random projections, Workshop on Low-Rank Models and Applications (LRMA), Mons, Belgium, September 12-13, 2019.

K. Abbas, M. Puigt, G. Delmaire, G. Roussel, Filtering-based endmember estimation from snapshot spectral images, Second Workshop on Low-Rank Models and Applications (LRMA'22), Mons, Belgium, September 15-16, 2022.

M. Puigt, B. Bigot, H. Devulder, Airplane! Introducing the cockpit party problem, Second Workshop on Low-Rank Models and Applications (LRMA'22), Mons, Belgium, September 15-16, 2022.

P. Chatelain, G. Delmaire, M. Puigt, G. Roussel, Fabry-Perot Filter Array Inversion for Hyperspectral Datacube Restoration, Second Workshop on Low-Rank Models and Applications (LRMA'22), Mons, Belgium, September 15-16, 2022.

C. Ben Azizi, C. Guilloteau, G. Roussel, M. Puigt, VAE-based Emulator for Fast Hyperspectral Image Generation, Third Workshop on International Cooperation in Spaceborne Imaging Spectroscopy - Hyperspectral 2024, ESA, Noordwijk, Netherlands, November 2024.

Communications in French spoken symposiums

M. Puigt, Y. Deville, Une méthode temps-fréquence de séparation aveugle de sources, pour mélanges à retard, exploitant les zones à temps constant, Colloque de l'Ecole Doctorale Informatique et Télécommunications (EDIT 2006), pp. 143-147, Toulouse, France, 22-23 mai 2006.

G. Delmaire, M. Puigt, G. Roussel, Factorisation Matricielle Non-Négative pour l'interprétation de données environnementales, Troisièmes Journées Franco-Libanaises, Beyrouth, Liban, 29-31 octobre 2015.

C. Dorffer, M. Puigt, G. Delmaire, G. Roussel, Méthodes de traitement et de fusion de signaux irrégulièrement échantillonnés issus du crowdsensing. Application à la surveillance citoyenne de la qualité de l'air, Journée Régionale des Doctorants en Automatique, Lille, France, 30 juin 2016.

C. Dorffer, M. Puigt, G. Delmaire, G. Roussel, R. Rouvoy, Traitement de signaux irrégulièrement échantillonnés issus du mobile crowd-sensing pour la surveillance de la qualité de l'air, Innovatives Big Data, CNRS, Paris, France, 14 octobre 2016.

C. Dorffer, M. Puigt, G. Delmaire, G. Roussel, Méthodes informées de factorisation matricielle pour l'étalonnage aveugle d'un réseau de capteurs mobiles, Doctorale en Traitement du Signal et de l'Image 2017, GRAISyHM, Lille, France, 26 avril 2017.

C. Dorffer, M. Puigt, G. Delmaire, G. Roussel, Sensor Calibration using Informed Matrix Factorisation for Air Quality Crowdsensing, Journée Régionale des Doctorants en Automatique, Béthune, France, 30 juin 2017.

F. Yahaya, M. Puigt, G. Delmaire, G. Roussel, Do random projections fasten an already fast NMF technique using Nesterov optimal gradient?, Journée Régionale des Doctorants en Automatique, Amiens, France, 3 juillet 2018.

M. Puigt, C. Dorffer, F. Yahaya, G. Delmaire, G. Roussel, Cartographie et étalonnage de capteurs conjoints par traitement des données issues de capteurs mobiles, Colloque National Capteurs et Sciences Participatives, Paris, France, 1-4 avril 2019.

F. Yahaya, M. Puigt, G. Delmaire, G. Roussel, Non-Negative Matrix Factorization with Missing Entries: A Random Projection Based Approach, Journée des jeunes chercheurs en traitement du signal et/ou de l'image, GRAISyHM, Amiens, France, 17 juin 2019.

F. Yahaya, M. Puigt, G. Delmaire, G. Roussel, NMF for Big Data with Missing Entries: A Random Projection Based Approach, Journée Régionale des Doctorants en Automatique, Lille, France, 9 juillet 2019. Best poster award.

V. Vantrepotte, K. Trung-Tran, H Loisel, C. Jamet, F. Schmitt, S. Schmidt, N. Savoye, D. Doxaran, P. Gernez, F. Gohin, M. Puigt, F. Dufresnois, J.L. Blin, Projet TOSCA OSYNICO : Optimisation et SYNergie des données In situ et COuleur de l'eau pour l’étude de la dynamique biogéochimique des eaux côtières , Colloque ILICO / EVOLECO 2021, La Rochelle, France, 2-5 novembre 2021.

K. Abbas, M. Puigt, G. Delmaire, G. Roussel, Joint Demosaicing and Unmixing in Hyperspectral Videos, Journée Régionale des Doctorants en Automatique, Compiègne, France, 19 novembre 2021.

P. Chatelain, G. Delmaire, A. Alboody, M. Puigt, G. Roussel, Assemblage semi-automatique d'images d'une scène agricole pour la construction du cube hyperspectral à partir d'une caméra compacte spatio-spectrale, Journée Régionale des Doctorants en Automatique, Compiègne, France, 19 novembre 2021.

K. Abbas, M. Puigt, G. Delmaire, G. Roussel, A dedicated joint unmixing and demosaicing method for snapshot spectral images, Journée Régionale des Doctorants en Automatique, Douai, France, 14 juin 2022.

P. Chatelain, G. Delmaire, M. Puigt, G. Roussel, Inversion de grille de filtres de Fabry-Perot pour la reconstruction de cubes hyperspectraux, Journée Régionale des Doctorants en Automatique, Douai, France, 14 juin 2022.

Unpublished

M. Puigt, A. Griffin, A. Mouchtaris, Post-nonlinear sparse component analysis using single-source zones and functional data clustering.
ArXiv e-print.

Miscellaneous

Theses

M. Puigt, Méthodes de séparation aveugle de sources fondées sur des transformées temps-fréquence. Application à des signaux de parole, Ph.D. thesis of the Université de Toulouse, defended on December 13, 2007.
Committee:
- P. Comon (president)
- A. Mansour (reviewer)
- E. Moreau (reviewer)
- J.-P. Bernard (member)
- S. Hosseini (member)
- Y. Deville (thesis supervisor)
M. Puigt, Méthodes d'analyse en variables latentes fondées sur la parcimonie et/ou la faiblesse de rang. Application aux problèmes inverses multivariés, Accreditation to supervise research (HDR French diploma) of the Université du Littoral Côte d'Opale, defended on March 28, 2023.
Committee:
- N. Gillis (president)
- R. Boyer (reviewer)
- S. Canu (reviewer)
- C. Chaux (reviewer)
- S. Moussaoui (member)
- G. Roussel (member)

Selected talks

M. Puigt, Blind Linear and Nonlinear Mixture Identification Using Source Sparsity Assumptions, LISIC, Calais, France, December 20, 2012
M. Puigt, G. Delmaire, G. Roussel, Le traitement du signal - un outil pour répondre aux problématiques rencontrées dans le domaine de l'eau ?, Aquapris, Wimereux, France, February 8, 2013
M. Puigt, G. Delmaire, G. Roussel, A Five-Minute Introduction to Blind Source Separation, Dymaphy work meeting, Calais, France, March 22, 2013
M. Puigt, Using Arduino to Monitor an Home-made Energy Autonomous Platform, International Arduino Day, Tektos, Calais, France, March 29, 2014
M. Puigt, Informed Non-negative Matrix Factorization for Industrial Pollution Identification, FORTH-ICS Seminar, Heraklion, Crete, Greece, October 31, 2014
A. Limem, G. Delmaire, M. Puigt, G. Roussel, Méthodes informées de factorisation matricielle non-négative. Application à l'identification de sources de particules industrielles, GT Identification, GdR MACS, Paris, France, November 13, 2014
M. Puigt, Informed Non-negative Matrix Factorization for Industrial Pollution Identification, GIPSA-Lab Seminar, Grenoble, France, February 23, 2015
M. Puigt, How Arduino Is Open-sourcing Industry, 2015 Arduino Day, Fablab Côte d'Opale, Calais, France, March 28, 2015
M. Puigt, C. Dorffer, G. Delmaire, G. Roussel, Making Sense of Arduino-based Internet of Things, 2016 Arduino Day, Fablab Côte d'Opale, Calais, France, April 2, 2016
M. Puigt, Présentation du traitement du signal et des images et de quelques problèmes inverses ludiques, Computer Science Dept. seminar, Calais, France, February 17, 2017
M. Puigt, Informed nonnegative matrix factorization for mobile sensor calibration, LIF Seminar, Marseille, France, March 3, 2017
M. Puigt, Approches rapides de factorisation et complétion matricielle non-négative utilisant l'algorithme du gradient optimal de Nesterov, LISIC, Calais, France, March 16, 2017
C. Dorffer, M. Puigt, G. Delmaire, G. Roussel Méthodes informées de factorisation matricielle pour l'étalonnage aveugle d'un réseau de capteurs mobiles, GdR ISIS, journée Inversion et problèmes multi-*, Paris, France, March 20, 2017
M. Puigt, Sur l'utilisation et l'application de factorisation en matrices non-négatives, Journée scientifique "la méthodologie pour tous" du Campus de la Mer, Boulogne-sur-Mer, France, April 3, 2017
M. Puigt, Factorisation en matrices (semi-)non-négatives : problématique, applications et tendances, Workshop "Intelligence Artificielle" du LISIC, Calais, France, June 18th, 2018.
M. Puigt, Accelerating Weighted (Nonnegative) Matrix Factorization with Random Projections, Future of Random Matrices Workshop ♯4, LightOn, Paris, France, December 19, 2019.
A. Alboody, M. Puigt, G. Roussel, 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, journée "Extraction d'attributs et apprentissage pour l'analyse des iamges de téélédétection", 8 octobre 2020.
M. Puigt, C. T. Cissé, A. Alboody, G. Roussel, V. Vantrepotte, C. Jamet, T. K. Tran, Fusion spectro-spatio-temporelle d'images Sentinel-2 et Sentinel-3, Assemblée Générale de la SFR Campus de la Mer, Boulogne-sur-Mer, 5 juillet 2021.
F. Yahaya, M. Puigt, O. Vu thanh, G. Delmaire, G. Roussel, Fast informed nonnegative matrix factorization for mobile sensor calibration, GdR ISIS, journée "Statistical learning with missing values", 7 décembre 2021.
K. Abbas, M. Puigt, G. Delmaire, G. Roussel, Joint Demosaicing and Unmixing in Snapshot Spectral Images, GdR ISIS et GdR ONDES, journées imagerie non-conventionnelle, Paris, 17 mars 2022.
M. Puigt, Réflexions sur l'IA dans un monde aux limites finies, workshop IA A2U MAIA, Calais, juin 2024.

LATT Ph.D. students' day

M. Puigt, A time-frequency correlation-based blind source separation method for time-delayed mixtures, Journée des thèses du LATT (JdT 2006), Toulouse, April 2006.
M. Puigt, Méthodes temps-fréquence de séparation de sources pour des mélanges atténués et retardés, Journée des thèses du LATT (JdT 2007), Toulouse, April 2007.