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ORCIDMatthieu Puigt
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2020 – today
- 2024
[j8]Kinan Abbas
, Matthieu Puigt, Gilles Delmaire, Gilles Roussel:
Locally-Rank-One-Based Joint Unmixing and Demosaicing Methods for Snapshot Spectral Images. Part II: A Filtering-Based Framework. IEEE Trans. Computational Imaging 10: 806-817 (2024)- [j7]Kinan Abbas, Matthieu Puigt, Gilles Delmaire, Gilles Roussel:
Locally-Rank-One-Based Joint Unmixing and Demosaicing Methods for Snapshot Spectral Images. Part I: A Matrix-Completion Framework. IEEE Trans. Computational Imaging 10: 848-862 (2024) - [j6]Farouk Yahaya, Matthieu Puigt, Gilles Delmaire, Gilles Roussel:
A Framework for Compressed Weighted Nonnegative Matrix Factorization. IEEE Trans. Signal Process. 72: 4798-4811 (2024) - [c32]Erick A. Adje, Gilles Delmaire, Arnaud Ahouandjinou, Matthieu Puigt, Gilles Roussel:
Towards Automatic Butterfly Species Recognition Using a Single Spatio-Hyperspectral Image. EUSIPCO 2024: 1252-1256 - 2023
- [b1]Matthieu Puigt:
Méthodes d'analyse en variables latentes fondées sur la parcimonie et/ou la faiblesse de rang. Application aux problèmes inverses multivariés. University of the Littoral Opal Coast, Dunkerque, France, 2023 - [c31]Kinan Abbas, Matthieu Puigt, Gilles Delmaire, Gilles Roussel:
Joint Unmixing And Demosaicing Methods For Snapshot Spectral Images. ICASSP 2023: 1-5 - 2022
- [c30]Cheick T. Cissé, Ahed Alboody, Matthieu Puigt, Gilles Roussel, Vincent Vantrepotte, Cédric Jamet, Trung-Kien Tran:
A New Deep Learning Method for Multispectral Image Time Series Completion Using Hyperspectral Data. ICASSP 2022: 1546-1550 - [c29]Kinan Abbas, Matthieu Puigt, Gilles Delmaire, Gilles Roussel:
Filtering-Based Endmember Identification Method For Snapshot Spectral Images. WHISPERS 2022: 1-5 - [c28]Ahed Alboody, Matthieu Puigt, Gilles Roussel, Vincent Vantrepotte, Cédric Jamet, Trung-Kien Tran:
Deepsen3: Deep Multi-Scale Learning Model For Spatial-Spectral Fusion Of Sentinel-2 And Sentinel-3 Remote Sensing Images. WHISPERS 2022: 1-5 - 2021
- [j5]Pierre Chatelain, Gilles Delmaire, Ahed Alboody, Matthieu Puigt, Gilles Roussel:
Semi-Automatic Spectral Image Stitching for a Compact Hybrid Linescan Hyperspectral Camera towards Near Field Remote Monitoring of Potato Crop Leaves. Sensors 21(22): 7616 (2021) - [c27]Farouk Yahaya, Matthieu Puigt, Gilles Delmaire, Gilles Roussel:
Random Projection Streams for (Weighted) Nonnegative Matrix Factorization. ICASSP 2021: 3280-3284 - [c26]Olivier Vu Thanh, Matthieu Puigt, Farouk Yahaya, Gilles Delmaire, Gilles Roussel:
In Situ Calibration of Cross-Sensitive Sensors in Mobile Sensor Arrays Using Fast Informed Non-Negative Matrix Factorization. ICASSP 2021: 3515-3519 - [c25]Ahed Alboody, Matthieu Puigt, Gilles Roussel, Vincent Vantrepotte, Cédric Jamet, Trung Kien Tran:
Experimental Comparison of Multi-Sharpening Methods Applied To Sentinel-2 MSI and Sentinel-3 OLCI Images. WHISPERS 2021: 1-5 - 2020
- [i3]Farouk Yahaya, Matthieu Puigt, Gilles Delmaire, Gilles Roussel:
Gaussian Compression Stream: Principle and Preliminary Results. CoRR abs/2011.05390 (2020)
2010 – 2019
- 2019
- [j4]Gilles Delmaire, Mahmoud Omidvar, Matthieu Puigt, Frédéric Ledoux, Abdelhakim Limem, Gilles Roussel, Dominique Courcot:
Informed Weighted Non-Negative Matrix Factorization Using αβ-Divergence Applied to Source Apportionment. Entropy 21(3): 253 (2019) - [c24]Farouk Yahaya, Matthieu Puigt, Gilles Delmaire, Gilles Roussel:
How to Apply Random Projections to Nonnegative Matrix Factorization with Missing Entries? EUSIPCO 2019: 1-5 - 2018
- [j3]Clément Dorffer, Matthieu Puigt, Gilles Delmaire, Gilles Roussel:
Informed Nonnegative Matrix Factorization Methods for Mobile Sensor Network Calibration. IEEE Trans. Signal Inf. Process. over Networks 4(4): 667-682 (2018) - [i2]Farouk Yahaya, Matthieu Puigt, Gilles Delmaire, Gilles Roussel:
Faster-than-fast NMF using random projections and Nesterov iterations. CoRR abs/1812.04315 (2018) - 2017
- [c23]Matthieu Puigt, Gilles Delmaire, Gilles Roussel:
Environmental signal processing: new trends and applications. ESANN 2017 - [c22]Clément Dorffer, Matthieu Puigt, Gilles Delmaire, Gilles Roussel:
Fast Nonnegative Matrix Factorization and Completion Using Nesterov Iterations. LVA/ICA 2017: 26-35 - 2016
- [c21]Clément Dorffer, Matthieu Puigt, Gilles Delmaire, Gilles Roussel:
Blind mobile sensor calibration using an informed nonnegative matrix factorization with a relaxed rendezvous model. ICASSP 2016: 2941-2945 - [c20]Clément Dorffer, Matthieu Puigt, Gilles Delmaire, Gilles Roussel:
Nonlinear mobile sensor calibration using informed semi-nonnegative matrix factorization with a Vandermonde factor. SAM 2016: 1-5 - [c19]Robert Chreiky, Gilles Delmaire, Matthieu Puigt, Gilles Roussel, Antoine Abche:
Informed Split Gradient Non-negative Matrix factorization using Huber cost function for source apportionment. ISSPIT 2016: 69-74 - [c18]Robert Chreiky, Gilles Delmaire, Clément Dorffer, Matthieu Puigt, Gilles Roussel, Antoine Abche:
Robust informed split gradient NMF using αβ-divergence for source apportionment. MLSP 2016: 1-6 - 2015
- [c17]Robert Chreiky, Gilles Delmaire, Matthieu Puigt, Gilles Roussel, Dominique Courcot, Antoine Abche:
Split Gradient Method for Informed Non-negative Matrix Factorization. LVA/ICA 2015: 376-383 - [c16]Clément Dorffer, Matthieu Puigt, Gilles Delmaire, Gilles Roussel:
Blind Calibration of Mobile Sensors Using Informed Nonnegative Matrix Factorization. LVA/ICA 2015: 497-505 - 2014
- [c15]Marc Plouvin, Abdelhakim Limem, Matthieu Puigt, Gilles Delmaire, Gilles Roussel, Dominique Courcot:
Enhanced NMF initialization using a physical model for pollution source apportionment. ESANN 2014 - [c14]Abdelhakim Limem, Matthieu Puigt, Gilles Delmaire, Gilles Roussel, Dominique Courcot:
Bound constrained weighted NMF for industrial source apportionment. MLSP 2014: 1-6 - 2013
- [j2]Despoina Pavlidi, Anthony Griffin, Matthieu Puigt, Athanasios Mouchtaris:
Real-Time Multiple Sound Source Localization and Counting Using a Circular Microphone Array. IEEE Trans. Speech Audio Process. 21(10): 2193-2206 (2013) - [c13]Abdelhakim Limem, Gilles Delmaire, Matthieu Puigt, Gilles Roussel, Dominique Courcot:
Non-negative Matrix Factorization using weighted beta divergence and equality constraints for industrial source apportionment. MLSP 2013: 1-6 - 2012
- [c12]Anthony Griffin, Despoina Pavlidi, Matthieu Puigt, Athanasios Mouchtaris:
Real-time multiple speaker DOA estimation in a circular microphone array based on Matching Pursuit. EUSIPCO 2012: 2303-2307 - [c11]Despoina Pavlidi, Matthieu Puigt, Anthony Griffin, Athanasios Mouchtaris:
Real-time multiple sound source localization using a circular microphone array based on single-source confidence measures. ICASSP 2012: 2625-2628 - [c10]Matthieu Puigt, Anthony Griffin, Athanasios Mouchtaris:
Nonlinear blind mixture identification using local source sparsity and functional data clustering. SAM 2012: 481-484 - [c9]Despoina Pavlidi, Anthony Griffin, Matthieu Puigt, Athanasios Mouchtaris:
Source counting in real-time sound source localization using a circular microphone array. SAM 2012: 521-524 - [i1]Matthieu Puigt, Anthony Griffin, Athanasios Mouchtaris:
Post-Nonlinear Sparse Component Analysis Using Single-Source Zones and Functional Data Clustering. CoRR abs/1204.1085 (2012) - 2011
- [c8]Matthieu Puigt, Anthony Griffin, Athanasios Mouchtaris:
Post-nonlinear speech mixture identification using single-source temporal zones & curve clustering. EUSIPCO 2011: 1844-1848 - 2010
- [c7]Ines Meganem, Yannick Deville, Matthieu Puigt:
Blind Separation methods based on correlation for sparse possibly-correlated images. ICASSP 2010: 1334-1337
2000 – 2009
- 2009
- [c6]Matthieu Puigt, Yannick Deville:
Iterative-Shift Cluster-Based Time-Frequency BSS for Fractional-Time-Delay Mixtures. ICA 2009: 306-313 - [c5]Matthieu Puigt, Emmanuel Vincent, Yannick Deville:
Validity of the Independence Assumption for the Separation of Instantaneous and Convolutive Mixtures of Speech and Music Sources. ICA 2009: 613-620 - [c4]Olivier Berné, Christine Joblin, A. Tielens, Yannick Deville, Matthieu Puigt, Rima Guidara, Shahram Hosseini, Giacomo Mulas, J. Cami:
Source separation algorithms for the analysis of hyper-spectral observations of very small interstellar dust particles. WHISPERS 2009: 1-4 - 2007
- [j1]Yannick Deville, Matthieu Puigt:
Temporal and time-frequency correlation-based blind source separation methods. Part I: Determined and underdetermined linear instantaneous mixtures. Signal Process. 87(3): 374-407 (2007) - 2006
- [c3]Yannick Deville, Dass Bissessur, Matthieu Puigt, Shahram Hosseini, Hervé Carfantan:
A time-scale correlation-based blind separation method applicable to correlated sources. ESANN 2006: 337-344 - [c2]Matthieu Puigt, Yannick Deville:
Two Time-Frequency Ratio-Based Blind Source Separation Methods for Time-Delayed Mixtures. ICA 2006: 682-690 - [c1]Matthieu Puigt, Yannick Deville:
A Time-Frequency CORRelation-Based Blind Source Separation Method for Time-Delayed Mixtures. ICASSP (5) 2006: 853-856
Coauthor Index
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