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ORCIDPierre-Antoine Thouvenin
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2020 – today
- 2024
[c7]Yusuf Yigit Pilavci, Jérémie Boulanger, Pierre-Antoine Thouvenin, Pierre Chainais:
Denoising Bivariate Signals via Smoothing and Polarization Priors. EUSIPCO 2024: 2602-2606- 2023
- [j5]Pierre Palud
, Pierre-Antoine Thouvenin, Pierre Chainais, Emeric Bron, Franck Le Petit:
Efficient Sampling of Non Log-Concave Posterior Distributions With Mixture of Noises. IEEE Trans. Signal Process. 71: 2491-2501 (2023) - 2022
- [c6]Pierre-Antoine Thouvenin, Audrey Repetti, Pierre Chainais:
A versatile distributed MCMC algorithm for large scale inverse problems. EUSIPCO 2022: 2016-2020 - [c5]Pierre Palud, Pierre Chainais, Franck Le Petit, Emeric Bron, Pierre-Antoine Thouvenin, Maxime Vono, L. Einig, M. Garcia Santa-Maria, Mathilde Gaudel, Jan H. Orkisz, Victor de Souza Magalhaes, Sébastien Bardeau, Maryvonne Gerin, Javier R. Goicoechea, Pierre Gratier, Viviana V. Guzmán, Jouni Kainulainen, François Levrier, Nicolas Peretto, Jérome Pety, Antoine Roueff, Albrecht Sievers:
Mixture of noises and sampling of non-log-concave posterior distributions. EUSIPCO 2022: 2031-2035 - [i2]Pierre-Antoine Thouvenin, Audrey Repetti, Pierre Chainais:
A distributed Gibbs Sampler with Hypergraph Structure for High-Dimensional Inverse Problems. CoRR abs/2210.02341 (2022)
2010 – 2019
- 2019
- [j4]Pierre-Antoine Thouvenin, Nicolas Dobigeon, Jean-Yves Tourneret:
Partially Asynchronous Distributed Unmixing of Hyperspectral Images. IEEE Trans. Geosci. Remote. Sens. 57(4): 2009-2021 (2019) - 2018
- [j3]Pierre-Antoine Thouvenin, Nicolas Dobigeon, Jean-Yves Tourneret:
A Hierarchical Bayesian Model Accounting for Endmember Variability and Abrupt Spectral Changes to Unmix Multitemporal Hyperspectral Images. IEEE Trans. Computational Imaging 4(1): 32-45 (2018) - [c4]Pierre-Antoine Thouvenin, Audrey Repetti, Arwa Dabbech, Yves Wiaux:
Time-Regularized Blind Deconvolution Approach for Radio Interferometry. SAM 2018: 475-479 - 2017
- [b1]Pierre-Antoine Thouvenin:
Modeling spatial and temporal variabilities in hyperspectral image unmixing. (Modélisation de la variabilité spectrale pour le démélange d'images hyperspectrales). National Polytechnic Institute of Toulouse, France, 2017 - [c3]Pierre-Antoine Thouvenin, Nicolas Dobigeon, Jean-Yves Tourneret:
Unmixing multitemporal hyperspectral images accounting for smooth and abrupt variations. EUSIPCO 2017: 2378-2382 - 2016
- [j2]Pierre-Antoine Thouvenin, Nicolas Dobigeon, Jean-Yves Tourneret:
Online Unmixing of Multitemporal Hyperspectral Images Accounting for Spectral Variability. IEEE Trans. Image Process. 25(9): 3979-3990 (2016) - [j1]Pierre-Antoine Thouvenin, Nicolas Dobigeon, Jean-Yves Tourneret:
Hyperspectral Unmixing With Spectral Variability Using a Perturbed Linear Mixing Model. IEEE Trans. Signal Process. 64(2): 525-538 (2016) - [c2]Pierre-Antoine Thouvenin, Nicolas Dobigeon, Jean-Yves Tourneret:
Unmixing multitemporal hyperspectral images with variability: An online algorithm. ICASSP 2016: 3351-3355 - 2015
- [c1]Pierre-Antoine Thouvenin, Nicolas Dobigeon, Jean-Yves Tourneret:
A perturbed linear mixing model accounting for spectral variability. EUSIPCO 2015: 814-818 - [i1]Pierre-Antoine Thouvenin, Nicolas Dobigeon, Jean-Yves Tourneret:
Online unmixing of multitemporal hyperspectral images accounting for spectral variability. CoRR abs/1510.05893 (2015)
Coauthor Index
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