Yoann Altmann

ORCID

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 67

Top Venues

EUSIPCO

CoRR

IEEE Trans. Computational Imaging

IEEE Trans. Image Process.

National Polytechnic Institute of Toulouse, France (PHD)

Education History

National Polytechnic Institute of Toulouse, France

PHD

Publications

Savvas Melidonis, Matthew Holden, Yoann Altmann, Marcelo Pereyra, Konstantinos C. Zygalakis
Empirical Bayesian Imaging With Large-Scale Push-Forward Generative Priors. IEEE Signal Process. Lett. 31 (2024)
Teresa Klatzer, Paul Dobson, Yoann Altmann, Marcelo Pereyra, Jesús María Sanz-Serna, Konstantinos C. Zygalakis
Accelerated Bayesian Imaging by Relaxed Proximal-Point Langevin Sampling. SIAM J. Imaging Sci. 17 (2) (2024)
Savvas Melidonis, Paul Dobson, Yoann Altmann, Marcelo Pereyra, Konstantinos Zygalakis
Efficient Bayesian Computation for Low-Photon Imaging Problems. SIAM J. Imaging Sci. 16 (3) (2023)
Shuaikai Shi, Lijun Zhang, Yoann Altmann, Jie Chen
Unsupervised Hyperspectral and Multispectral Images Fusion Based on the Cycle Consistency. CoRR (2023)
Dongrui Shen, Dan Yao, Stephen McLaughlin, Yoann Altmann
Probabilistic Spiking Neural Networks Training with Expectation - Propagation. CAMSAP (2023)
Dongrui Shen, Stephen McLaughlin, Yoann Altmann
Expectation-Propagation with Low-Rank Constraints for Linear Inverse Problems. EUSIPCO (2023)
Teresa Klatzer, Paul Dobson, Yoann Altmann, Marcelo Pereyra, Jesús María Sanz-Serna, Konstantinos C. Zygalakis
Accelerated Bayesian imaging by relaxed proximal-point Langevin sampling. CoRR (2023)
Dan Yao, Yoann Altmann, Stephen McLaughlin
Color Image Restoration in the Low Photon-Count Regime Using Expectation Propagation. ICIP (2022)
Dan Yao, Steve McLaughlin, Yoann Altmann
Fast Scalable Image Restoration Using Total Variation Priors and Expectation Propagation. IEEE Trans. Image Process. 31 (2022)
Dan Yao, Steve McLaughlin, Yoann Altmann
Patch-Based Image Restoration Using Expectation Propagation. SIAM J. Imaging Sci. 15 (1) (2022)
Shuaikai Shi, Lijun Zhang, Yoann Altmann, Jie Chen
Deep Generative Model for Spatial-Spectral Unmixing With Multiple Endmember Priors. IEEE Trans. Geosci. Remote. Sens. 60 (2022)
Shuaikai Shi, Min Zhao, Lijun Zhang, Yoann Altmann, Jie Chen
Probabilistic Generative Model for Hyperspectral Unmixing Accounting for Endmember Variability. IEEE Trans. Geosci. Remote. Sens. 60 (2022)
Abdullah Abdulaziz, Jianxin Zhou, Angela Di Fulvio, Yoann Altmann, Stephen McLaughlin
Semi-Supervised Gaussian Mixture Variational Autoencoder for Pulse Shape Discrimination. ICASSP (2022)
Zeng Li, Yoann Altmann, Jie Chen, Stephen McLaughlin, Susanto Rahardja
Sparse Linear Spectral Unmixing of Hyperspectral Images Using Expectation-Propagation. IEEE Trans. Geosci. Remote. Sens. 60 (2022)
Yoann Altmann
On approximate Bayesian methods for large-scale sparse linear inverse problems. EUSIPCO (2022)
Charles Saunders, William Krska, Julián Tachella, Sheila W. Seidel, Joshua Rapp, John Murray-Bruce, Yoann Altmann, Stephen McLaughlin, Vivek K. Goyal
Edge-Resolved Transient Imaging: Performance Analyses, Optimizations, and Simulations. ICIP (2021)
Ahmed Karam Eldaly, Ming Fang, Angela Di Fulvio, Stephen McLaughlin, Mike E. Davies, Yoann Altmann, Yves Wiaux
Bayesian Activity Estimation and Uncertainty Quantification of Spent Nuclear Fuel Using Passive Gamma Emission Tomography. J. Imaging 7 (10) (2021)
Dan Yao, Stephen McLaughlin, Yoann Altmann
Fast Scalable Image Restoration using Total Variation Priors and Expectation Propagation. CoRR (2021)
Julien Lesouple, Barbara Pilastre, Yoann Altmann, Jean-Yves Tourneret
Hypersphere Fitting From Noisy Data Using an EM Algorithm. IEEE Signal Process. Lett. 28 (2021)
Abdullah Abdulaziz, Dan Yao, Yoann Altmann, Stephen McLaughlin
Blind deconvolution of images corrupted by Gaussian noise using Expectation Propagation. EUSIPCO (2021)
Quentin Legros, Julián Tachella, Rachael Tobin, Aongus McCarthy, Sylvain Meignen, Gerald S. Buller, Yoann Altmann, Steve McLaughlin, Michael E. Davies
Robust 3D Reconstruction of Dynamic Scenes From Single-Photon Lidar Using Beta-Divergences. IEEE Trans. Image Process. 30 (2021)
Julien Lesouple, Barbara Pilastre, Yoann Altmann, Jean-Yves Tourneret
Robust Hypersphere Fitting from Noisy Data Using an EM Algorithm. EUSIPCO (2021)
Dan Yao, Stephen McLaughlin, Yoann Altmann
Patch-Based Image Restoration using Expectation Propagation. CoRR (2021)
Quentin Legros, Steve McLaughlin, Yoann Altmann, Sylvain Meignen
Stochastic EM algorithm for fast analysis of single waveform multi-spectral Lidar data. EUSIPCO (2020)
Joshua Rapp, Charles Saunders, Julián Tachella, John Murray-Bruce, Yoann Altmann, Jean-Yves Tourneret, Stephen McLaughlin, Robin M. A. Dawson, Franco N. C. Wong, Vivek K. Goyal
Seeing Around Corners with Edge-Resolved Transient Imaging. CoRR (2020)
Quentin Legros, Julián Tachella, Rachael Tobin, Aongus McCarthy, Sylvain Meignen, Gerald S. Buller, Yoann Altmann, Stephen McLaughlin, Michael E. Davies
Robust 3D reconstruction of dynamic scenes from single-photon lidar using Beta-divergences. CoRR (2020)
Dan Yao, Yoann Altmann, Steve McLaughlin, Mike E. Davies
Joint Robust Linear Regression and Anomaly Detection in Poisson noise using Expectation-Propagation. EUSIPCO (2020)
K. Craigie, E. M. Gauger, Yoann Altmann, C. Bonato
Resource-efficient adaptive Bayesian tracking of magnetic fields with a quantum sensor. CoRR (2020)
Quentin Legros, Sylvain Meignen, Steve McLaughlin, Yoann Altmann
Expectation-Maximization Based Approach to 3D Reconstruction From Single-Waveform Multispectral Lidar Data. IEEE Trans. Computational Imaging 6 (2020)
Julián Tachella, Yoann Altmann, Miguel Marquez, Henry Arguello Fuentes, Jean-Yves Tourneret, Steve McLaughlin
Bayesian 3D Reconstruction of Subsampled Multispectral Single-Photon Lidar Signals. IEEE Trans. Computational Imaging 6 (2020)
Joshua Rapp, Julián Tachella, Yoann Altmann, Stephen McLaughlin, Vivek K. Goyal
Advances in Single-Photon Lidar for Autonomous Vehicles: Working Principles, Challenges, and Recent Advances. IEEE Signal Process. Mag. 37 (4) (2020)
Yoann Altmann, Steve McLaughlin, Michael E. Davies
Fast Online 3D Reconstruction of Dynamic Scenes From Individual Single-Photon Detection Events. IEEE Trans. Image Process. 29 (2020)
Zeng Li, Yoann Altmann, Jie Chen, Steve McLaughlin, Susanto Rahardja
Sparse Spectral Unmixing of Hyperspectral Images using Expectation-Propagation. VCIP (2020)
Ahmed Karam Eldaly, Yoann Altmann, Ahsan R. Akram, Antonios Perperidis, Kevin Dhaliwal, Steve McLaughlin
Patch-Based Sparse Representation For Bacterial Detection. ISBI (2019)
Julián Tachella, Yoann Altmann, Stephen McLaughlin, Jean-Yves Tourneret
Real-Time 3D Color Imaging with Single-Photon Lidar Data. CAMSAP (2019)
Julián Tachella, Yoann Altmann, Steve McLaughlin, Jean-Yves Tourneret
3D Reconstruction Using Single-photon Lidar Data Exploiting the Widths of the Returns. ICASSP (2019)
Ahmed Karam Eldaly, Yoann Altmann, Ahsan R. Akram, Paul McCool, Antonios Perperidis, Kevin Dhaliwal, Stephen McLaughlin
Bayesian bacterial detection using irregularly sampled optical endomicroscopy images. Medical Image Anal. 57 (2019)
Yoann Altmann, Alessandro Perelli, Mike E. Davies
Expectation-propagation Algorithms for Linear Regression with Poisson Noise: Application to Photon-limited Spectral Unmixing. ICASSP (2019)
Julián Tachella, Yoann Altmann, Steve McLaughlin, Jean-Yves Tourneret
Fast Surface Detection in Single-Photon Lidar Waveforms. EUSIPCO (2019)
Julián Tachella, Yoann Altmann, Ximing Ren, Aongus McCarthy, Gerald S. Buller, Steve McLaughlin, Jean-Yves Tourneret
Bayesian 3D Reconstruction of Complex Scenes from Single-Photon Lidar Data. SIAM J. Imaging Sci. 12 (1) (2019)
Sylvain Meignen, Quentin Legros, Yoann Altmann, Steve McLaughlin
A novel algorithm for the identification of dirac impulses from filtered noisy measurements. Signal Process. 162 (2019)
Ahmed Karam Eldaly, Yoann Altmann, Antonios Perperidis, Nikola Krstajic, Tushar Choudhary, Kevin Dhaliwal, Steve McLaughlin
Deconvolution and Restoration of Optical Endomicroscopy Images. IEEE Trans. Computational Imaging 4 (2) (2018)
Ahmed Karam Eldaly, Yoann Altmann, Ahsan R. Akram, Antonios Perperidis, Kevin Dhaliwal, Steve McLaughlin
Patch-based Sparse Representation For Bacterial Detection. CoRR (2018)
Herwig Wendt, Sébastien Combrexelle, Yoann Altmann, Jean-Yves Tourneret, Steve McLaughlin, Patrice Abry
Multifractal Analysis of Multivariate Images Using Gamma Markov Random Field Priors. SIAM J. Imaging Sci. 11 (2) (2018)
Julián Tachella, Yoann Altmann, Marcelo Pereyra, Stephen McLaughlin, Jean-Yves Tourneret
Bayesian Restoration of High-Dimensional Photon-Starved Images. EUSIPCO (2018)
Cecile Chenot, Mehrdad Yaghoobi, Mike E. Davies, Yoann Altmann
Anomaly Detection with High Resolution Hyperspectral Observations. GlobalSIP (2018)
Ahmed Karam Eldaly, Yoann Altmann, Antonios Perperidis, Steve McLaughlin
Deconvolution of Irregularly Subsampled Images. SSP (2018)
Yoann Altmann, Steve McLaughlin
Range Estimation from Single-Photon Lidar Data Using a Stochastic Em Approach. EUSIPCO (2018)
Yoann Altmann, Steve McLaughlin, Miles J. Padgett
Unsupervised restoration of subsampled images constructed from geometric and binomial data. CAMSAP (2017)
Abderrahim Halimi, Peter Connolly, Ximing Ren, Yoann Altmann, István Gyöngy, Robert K. Henderson, Stephen McLaughlin, Gerald S. Buller
Restoration of depth and intensity images using a graph laplacian regularization. CAMSAP (2017)
Ahmed Karam Eldaly, Yoann Altmann, Antonios Perperidis, Nikola Krstajic, Tushar Choudhary, Kevin Dhaliwal, Stephen McLaughlin
Deconvolution and Restoration of Optical Endomicroscopy Images. CoRR (2017)
Yoann Altmann, Aurora Maccarone, Aongus McCarthy, Gregory E. Newstadt, Gerald S. Buller, Steve McLaughlin, Alfred O. Hero III
Robust Spectral Unmixing of Sparse Multispectral Lidar Waveforms Using Gamma Markov Random Fields. IEEE Trans. Computational Imaging 3 (4) (2017)
Yoann Altmann, Reuben Aspden, Miles J. Padgett, Steve McLaughlin
A Bayesian Approach to Denoising of Single-Photon Binary Images. IEEE Trans. Computational Imaging 3 (3) (2017)
Yoann Altmann, Rachael Tobin, Aurora Maccarone, Ximing Ren, Aongus McCarthy, Gerald S. Buller, Steve McLaughlin
Bayesian restoration of reflectivity and range profiles from subsampled single-photon multispectral Lidar data. EUSIPCO (2017)
Antonios Perperidis, Ahsan R. Akram, Yoann Altmann, Paul McCool, Jody Westerfeld, David Wilson, Kevin Dhaliwal, Stephen McLaughlin
Automated Detection of Uninformative Frames in Pulmonary Optical Endomicroscopy. IEEE Trans. Biomed. Eng. 64 (1) (2017)
Yoann Altmann, Aurora Maccarone, Aongus McCarthy, Gerald S. Buller, Steve McLaughlin
Joint range estimation and spectral classification for 3D scene reconstruction using multispectral Lidar waveforms. SSP (2016)
Sébastien Combrexelle, Herwig Wendt, Yoann Altmann, Jean-Yves Tourneret, Stephen McLaughlin, Patrice Abry
Bayesian estimation for the local assessment of the multifractality parameter of multivariate time series. EUSIPCO (2016)
Yoann Altmann, Aurora Maccarone, Aongus McCarthy, Gregory E. Newstadt, Gerald S. Buller, Stephen McLaughlin, Alfred O. Hero III
Robust spectral unmixing of multispectral Lidar waveforms. WHISPERS (2016)
Paul McCool, Yoann Altmann, Antonios Perperidis, Steve McLaughlin
Robust Markov Random Field outlier detection and removal in subsampled images. SSP (2016)
Yoann Altmann, Ximing Ren, Aongus McCarthy, Gerald S. Buller, Steve McLaughlin
Target detection for depth imaging using sparse single-photon data. ICASSP (2016)
Sébastien Combrexelle, Herwig Wendt, Yoann Altmann, Jean-Yves Tourneret, Steve McLaughlin, Patrice Abry
Bayesian joint estimation of the multifractality parameter of image patches using gamma Markov Random Field priors. ICIP (2016)
Yoann Altmann, Ximing Ren, Aongus McCarthy, Gerald S. Buller, Steve McLaughlin
Lidar Waveform-Based Analysis of Depth Images Constructed Using Sparse Single-Photon Data. IEEE Trans. Image Process. 25 (5) (2016)
Sébastien Combrexelle, Herwig Wendt, Yoann Altmann, Jean-Yves Tourneret, Steve McLaughlin, Patrice Abry
A Bayesian framework for the multifractal analysis of images using data augmentation and a whittle approximation. ICASSP (2016)
Abderrahim Halimi, Yoann Altmann, Aongus McCarthy, Ximing Ren, Rachael Tobin, Gerald S. Buller, Steve McLaughlin
Restoration of intensity and depth images constructed using sparse single-photon data. EUSIPCO (2016)
Yoann Altmann, Ximing Ren, Aongus McCarthy, Gerald S. Buller, Steve McLaughlin
Robust Bayesian Target Detection Algorithm for Depth Imaging From Sparse Single-Photon Data. IEEE Trans. Computational Imaging 2 (4) (2016)
Sébastien Combrexelle, Herwig Wendt, Jean-Yves Tourneret, Yoann Altmann, Steve McLaughlin, Patrice Abry
A Bayesian approach for the multifractal analysis of spatio-temporal data. IWSSIP (2016)
Yoann Altmann, Aurora Maccarone, Aongus McCarthy, Gerald S. Buller, Steve McLaughlin
Joint spectral clustering and range estimation for 3D scene reconstruction using multispectral lidar waveforms. EUSIPCO (2016)
Yoann Altmann, Steve McLaughlin, Alfred O. Hero III
Robust Linear Spectral Unmixing Using Anomaly Detection. IEEE Trans. Computational Imaging 1 (2) (2015)
Yoann Altmann, Marcelo Pereyra, José M. Bioucas-Dias
Linear spectral unmixing using collaborative sparse regression and correlated supports. WHISPERS (2015)
Yoann Altmann, Marcelo Pereyra, Stephen McLaughlin
Bayesian Nonlinear Hyperspectral Unmixing With Spatial Residual Component Analysis. IEEE Trans. Computational Imaging 1 (3) (2015)
Yoann Altmann, Marcelo Pereyra, José M. Bioucas-Dias
Collaborative sparse regression using spatially correlated supports - Application to hyperspectral unmixing. IEEE Trans. Image Process. 24 (12) (2015)
Yoann Altmann, Steve McLaughlin, Alfred O. Hero III
Robust linear spectral unmixing using outlier detection. ICASSP (2015)
Yoann Altmann, Marcelo Pereyra, Steve McLaughlin
Nonlinear spectral unmixing using residual component analysis and a Gamma Markov random field. CAMSAP (2015)
Yoann Altmann, Andrew M. Wallace, Steve McLaughlin
Spectral Unmixing of Multispectral Lidar Signals. IEEE Trans. Signal Process. 63 (20) (2015)
Yoann Altmann, Nicolas Dobigeon, Jean-Yves Tourneret
Unsupervised Post-Nonlinear Unmixing of Hyperspectral Images Using a Hamiltonian Monte Carlo Algorithm. IEEE Trans. Image Process. 23 (6) (2014)
Nicolas Dobigeon, Laurent Tits, Ben Somers, Yoann Altmann, Pol Coppin
Nonlinear unmixing of vegetated areas: A model comparison based on simulated and real hyperspectral data. WHISPERS (2014)
Yoann Altmann, Steve McLaughlin, Nicolas Dobigeon
Sampling from a multivariate Gaussian distribution truncated on a simplex: A review. SSP (2014)
Yoann Altmann, Nicolas Dobigeon, Steve McLaughlin, Jean-Yves Tourneret
Residual Component Analysis of Hyperspectral Images - Application to Joint Nonlinear Unmixing and Nonlinearity Detection. IEEE Trans. Image Process. 23 (5) (2014)
Yoann Altmann, Nicolas Dobigeon, Steve McLaughlin, Jean-Yves Tourneret
Residual component analysis of hyperspectral images for joint nonlinear unmixing and nonlinearity detection. ICASSP (2014)
Nicolas Dobigeon, Laurent Tits, Ben Somers, Yoann Altmann, Pol Coppin
A Comparison of Nonlinear Mixing Models for Vegetated Areas Using Simulated and Real Hyperspectral Data. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 7 (6) (2014)
Yoann Altmann, Nicolas Dobigeon, Jean-Yves Tourneret, Steve McLaughlin
Nonlinear hyperspectral unmixing using Gaussian processes. WHISPERS (2013)
Yoann Altmann, Nicolas Dobigeon, Steve McLaughlin, Jean-Yves Tourneret
Nonlinear Spectral Unmixing of Hyperspectral Images Using Gaussian Processes. IEEE Trans. Signal Process. 61 (10) (2013)
Yoann Altmann, Nicolas Dobigeon, Jean-Yves Tourneret, José Carlos M. Bermudez
A robust test for nonlinear mixture detection in hyperspectral images. ICASSP (2013)
Yoann Altmann, Nicolas Dobigeon, Jean-Yves Tourneret
Nonlinearity Detection in Hyperspectral Images Using a Polynomial Post-Nonlinear Mixing Model. IEEE Trans. Image Process. 22 (4) (2013)
Yoann Altmann, Nicolas Dobigeon, Jean-Yves Tourneret
Bayesian unsupervised unmixing of hyperspectral images using a post-nonlinear model. EUSIPCO (2013)
Yoann Altmann, Nicolas Dobigeon, Steve McLaughlin, Jean-Yves Tourneret
Unsupervised nonlinear unmixing of hyperspectral images using Gaussian processes. ICASSP (2012)
Yoann Altmann, Abderrahim Halimi, Nicolas Dobigeon, Jean-Yves Tourneret
Supervised Nonlinear Spectral Unmixing Using a Postnonlinear Mixing Model for Hyperspectral Imagery. IEEE Trans. Image Process. 21 (6) (2012)
Yoann Altmann, Nicolas Dobigeon, Jean-Yves Tourneret
Detecting nonlinear mixtures in hyperspectral images. WHISPERS (2012)
Yoann Altmann, Nicolas Dobigeon, Jean-Yves Tourneret, Steve McLaughlin
Nonlinear unmixing of hyperspectral images using radial basis functions and orthogonal least squares. IGARSS (2011)
Abderrahim Halimi, Yoann Altmann, Nicolas Dobigeon, Jean-Yves Tourneret
Nonlinear Unmixing of Hyperspectral Images Using a Generalized Bilinear Model. IEEE Trans. Geosci. Remote. Sens. 49 (11) (2011)
Yoann Altmann, Abderrahim Halimi, Nicolas Dobigeon, Jean-Yves Tourneret
A post nonlinear mixing model for hyperspectral images unmixing. IGARSS (2011)
Yoann Altmann, Nicolas Dobigeon, Jean-Yves Tourneret
Bilinear models for nonlinear unmixing of hyperspectral images. WHISPERS (2011)
Abderrahim Halimi, Yoann Altmann, Nicolas Dobigeon, Jean-Yves Tourneret
Unmixing hyperspectral images using the generalized bilinear model. IGARSS (2011)
Yoann Altmann, Abderrahim Halimi, Nicolas Dobigeon, Jean-Yves Tourneret
Supervised nonlinear spectral unmixing using a polynomial post nonlinear model for hyperspectral imagery. ICASSP (2011)

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Publication Activity (10 Years)

Top Topics

Top Venues

Yoann Altmann