Yoann Altmann
Orcid: 0000-0002-3177-9884
According to our database1,
Yoann Altmann
authored at least 89 papers
between 2011 and 2024.
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Bibliography
2024
IEEE Signal Process. Lett., 2024
2023
SIAM J. Imaging Sci., September, 2023
Unsupervised Hyperspectral and Multispectral Images Fusion Based on the Cycle Consistency.
CoRR, 2023
Proceedings of the 31st European Signal Processing Conference, 2023
Proceedings of the 9th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2023
2022
Fast Scalable Image Restoration Using Total Variation Priors and Expectation Propagation.
IEEE Trans. Image Process., 2022
Probabilistic Generative Model for Hyperspectral Unmixing Accounting for Endmember Variability.
IEEE Trans. Geosci. Remote. Sens., 2022
IEEE Trans. Geosci. Remote. Sens., 2022
Sparse Linear Spectral Unmixing of Hyperspectral Images Using Expectation-Propagation.
IEEE Trans. Geosci. Remote. Sens., 2022
SIAM J. Imaging Sci., 2022
Color Image Restoration in the Low Photon-Count Regime Using Expectation Propagation.
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022
Semi-Supervised Gaussian Mixture Variational Autoencoder for Pulse Shape Discrimination.
Proceedings of the IEEE International Conference on Acoustics, 2022
Proceedings of the 30th European Signal Processing Conference, 2022
2021
Robust 3D Reconstruction of Dynamic Scenes From Single-Photon Lidar Using Beta-Divergences.
IEEE Trans. Image Process., 2021
IEEE Signal Process. Lett., 2021
Bayesian Activity Estimation and Uncertainty Quantification of Spent Nuclear Fuel Using Passive Gamma Emission Tomography.
J. Imaging, 2021
Edge-Resolved Transient Imaging: Performance Analyses, Optimizations, and Simulations.
Proceedings of the 2021 IEEE International Conference on Image Processing, 2021
Proceedings of the 29th European Signal Processing Conference, 2021
Blind deconvolution of images corrupted by Gaussian noise using Expectation Propagation.
Proceedings of the 29th European Signal Processing Conference, 2021
2020
Fast Online 3D Reconstruction of Dynamic Scenes From Individual Single-Photon Detection Events.
IEEE Trans. Image Process., 2020
IEEE Trans. Computational Imaging, 2020
Expectation-Maximization Based Approach to 3D Reconstruction From Single-Waveform Multispectral Lidar Data.
IEEE Trans. Computational Imaging, 2020
Advances in Single-Photon Lidar for Autonomous Vehicles: Working Principles, Challenges, and Recent Advances.
IEEE Signal Process. Mag., 2020
Resource-efficient adaptive Bayesian tracking of magnetic fields with a quantum sensor.
CoRR, 2020
Proceedings of the 2020 IEEE International Conference on Visual Communications and Image Processing, 2020
Joint Robust Linear Regression and Anomaly Detection in Poisson noise using Expectation-Propagation.
Proceedings of the 28th European Signal Processing Conference, 2020
Stochastic EM algorithm for fast analysis of single waveform multi-spectral Lidar data.
Proceedings of the 28th European Signal Processing Conference, 2020
2019
A novel algorithm for the identification of dirac impulses from filtered noisy measurements.
Signal Process., 2019
SIAM J. Imaging Sci., 2019
Bayesian bacterial detection using irregularly sampled optical endomicroscopy images.
Medical Image Anal., 2019
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019
3D Reconstruction Using Single-photon Lidar Data Exploiting the Widths of the Returns.
Proceedings of the IEEE International Conference on Acoustics, 2019
Expectation-propagation Algorithms for Linear Regression with Poisson Noise: Application to Photon-limited Spectral Unmixing.
Proceedings of the IEEE International Conference on Acoustics, 2019
Proceedings of the 27th European Signal Processing Conference, 2019
Proceedings of the 8th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2019
2018
IEEE Trans. Computational Imaging, 2018
SIAM J. Imaging Sci., 2018
Proceedings of the 2018 IEEE Statistical Signal Processing Workshop, 2018
Proceedings of the 2018 IEEE Global Conference on Signal and Information Processing, 2018
Proceedings of the 26th European Signal Processing Conference, 2018
Proceedings of the 26th European Signal Processing Conference, 2018
2017
Robust Spectral Unmixing of Sparse Multispectral Lidar Waveforms Using Gamma Markov Random Fields.
IEEE Trans. Computational Imaging, 2017
IEEE Trans. Computational Imaging, 2017
IEEE Trans. Biomed. Eng., 2017
Bayesian restoration of reflectivity and range profiles from subsampled single-photon multispectral Lidar data.
Proceedings of the 25th European Signal Processing Conference, 2017
Proceedings of the 2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2017
Unsupervised restoration of subsampled images constructed from geometric and binomial data.
Proceedings of the 2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2017
2016
Lidar Waveform-Based Analysis of Depth Images Constructed Using Sparse Single-Photon Data.
IEEE Trans. Image Process., 2016
Robust Bayesian Target Detection Algorithm for Depth Imaging From Sparse Single-Photon Data.
IEEE Trans. Computational Imaging, 2016
Proceedings of the 8th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2016
Proceedings of the IEEE Statistical Signal Processing Workshop, 2016
Joint range estimation and spectral classification for 3D scene reconstruction using multispectral Lidar waveforms.
Proceedings of the IEEE Statistical Signal Processing Workshop, 2016
Proceedings of the International Conference on Systems, Signals and Image Processing, 2016
Bayesian joint estimation of the multifractality parameter of image patches using gamma Markov Random Field priors.
Proceedings of the 2016 IEEE International Conference on Image Processing, 2016
A Bayesian framework for the multifractal analysis of images using data augmentation and a whittle approximation.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016
Restoration of intensity and depth images constructed using sparse single-photon data.
Proceedings of the 24th European Signal Processing Conference, 2016
Bayesian estimation for the local assessment of the multifractality parameter of multivariate time series.
Proceedings of the 24th European Signal Processing Conference, 2016
Joint spectral clustering and range estimation for 3D scene reconstruction using multispectral lidar waveforms.
Proceedings of the 24th European Signal Processing Conference, 2016
2015
Collaborative sparse regression using spatially correlated supports - Application to hyperspectral unmixing.
IEEE Trans. Image Process., 2015
IEEE Trans. Computational Imaging, 2015
IEEE Trans. Computational Imaging, 2015
Linear spectral unmixing using collaborative sparse regression and correlated supports.
Proceedings of the 7th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2015
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015
Nonlinear spectral unmixing using residual component analysis and a Gamma Markov random field.
Proceedings of the 6th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2015
2014
Unsupervised Post-Nonlinear Unmixing of Hyperspectral Images Using a Hamiltonian Monte Carlo Algorithm.
IEEE Trans. Image Process., 2014
Residual Component Analysis of Hyperspectral Images - Application to Joint Nonlinear Unmixing and Nonlinearity Detection.
IEEE Trans. Image Process., 2014
A Comparison of Nonlinear Mixing Models for Vegetated Areas Using Simulated and Real Hyperspectral Data.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2014
Nonlinear unmixing of vegetated areas: A model comparison based on simulated and real hyperspectral data.
Proceedings of the 6th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2014
Proceedings of the IEEE Workshop on Statistical Signal Processing, 2014
Residual component analysis of hyperspectral images for joint nonlinear unmixing and nonlinearity detection.
Proceedings of the IEEE International Conference on Acoustics, 2014
2013
Nonlinear unmixing of hyperspectral images. (Démélange non-linéaire d'images hyperspectrales).
PhD thesis, 2013
IEEE Trans. Signal Process., 2013
Nonlinearity Detection in Hyperspectral Images Using a Polynomial Post-Nonlinear Mixing Model.
IEEE Trans. Image Process., 2013
Proceedings of the 5th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2013
Proceedings of the IEEE International Conference on Acoustics, 2013
Proceedings of the 21st European Signal Processing Conference, 2013
2012
Supervised Nonlinear Spectral Unmixing Using a Postnonlinear Mixing Model for Hyperspectral Imagery.
IEEE Trans. Image Process., 2012
Proceedings of the 4th Workshop on Hyperspectral Image and Signal Processing, 2012
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012
2011
IEEE Trans. Geosci. Remote. Sens., 2011
Proceedings of the 3rd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2011
Proceedings of the 2011 IEEE International Geoscience and Remote Sensing Symposium, 2011
Proceedings of the 2011 IEEE International Geoscience and Remote Sensing Symposium, 2011
Nonlinear unmixing of hyperspectral images using radial basis functions and orthogonal least squares.
Proceedings of the 2011 IEEE International Geoscience and Remote Sensing Symposium, 2011
Supervised nonlinear spectral unmixing using a polynomial post nonlinear model for hyperspectral imagery.
Proceedings of the IEEE International Conference on Acoustics, 2011