Supervised nonlinear spectral unmixing using a polynomial post nonlinear model for hyperspectral imagery. - Yoann Altmann; Abderrahim Halimi; Nicolas Dobigeon; Jean-Yves Tourneret (ICASSP, 2011)

Nonlinear unmixing of hyperspectral images using radial basis functions and orthogonal least squares. - Yoann Altmann; Nicolas Dobigeon; Jean-Yves Tourneret; Steve McLaughlin 001 (IGARSS, 2011)

A post nonlinear mixing model for hyperspectral images unmixing. - Yoann Altmann; Abderrahim Halimi; Nicolas Dobigeon; Jean-Yves Tourneret (IGARSS, 2011)

Unmixing hyperspectral images using the generalized bilinear model. - Abderrahim Halimi; Yoann Altmann; Nicolas Dobigeon; Jean-Yves Tourneret (IGARSS, 2011)

Bilinear models for nonlinear unmixing of hyperspectral images. - Yoann Altmann; Nicolas Dobigeon; Jean-Yves Tourneret (WHISPERS, 2011)

Nonlinear Unmixing of Hyperspectral Images Using a Generalized Bilinear Model. - Abderrahim Halimi; Yoann Altmann; Nicolas Dobigeon; Jean-Yves Tourneret (IEEE Trans. Geosci. Remote. Sens., 2011)

Unsupervised nonlinear unmixing of hyperspectral images using Gaussian processes. - Yoann Altmann; Nicolas Dobigeon; Steve McLaughlin 001; Jean-Yves Tourneret (ICASSP, 2012)

Detecting nonlinear mixtures in hyperspectral images. - Yoann Altmann; Nicolas Dobigeon; Jean-Yves Tourneret (WHISPERS, 2012)

Supervised Nonlinear Spectral Unmixing Using a Postnonlinear Mixing Model for Hyperspectral Imagery. - Yoann Altmann; Abderrahim Halimi; Nicolas Dobigeon; Jean-Yves Tourneret (IEEE Trans. Image Process., 2012)

Bayesian unsupervised unmixing of hyperspectral images using a post-nonlinear model. - Yoann Altmann; Nicolas Dobigeon; Jean-Yves Tourneret (EUSIPCO, 2013)

A robust test for nonlinear mixture detection in hyperspectral images. - Yoann Altmann; Nicolas Dobigeon; Jean-Yves Tourneret; José Carlos M. Bermudez (ICASSP, 2013)

Nonlinear hyperspectral unmixing using Gaussian processes. - Yoann Altmann; Nicolas Dobigeon; Jean-Yves Tourneret; Steve McLaughlin 001 (WHISPERS, 2013)

Nonlinearity Detection in Hyperspectral Images Using a Polynomial Post-Nonlinear Mixing Model. - Yoann Altmann; Nicolas Dobigeon; Jean-Yves Tourneret (IEEE Trans. Image Process., 2013)

Nonlinear Spectral Unmixing of Hyperspectral Images Using Gaussian Processes. - Yoann Altmann; Nicolas Dobigeon; Steve McLaughlin 001; Jean-Yves Tourneret (IEEE Trans. Signal Process., 2013)

Nonlinear unmixing of hyperspectral images. (Démélange non-linéaire d'images hyperspectrales). - Yoann Altmann (2013)

Residual component analysis of hyperspectral images for joint nonlinear unmixing and nonlinearity detection. - Yoann Altmann; Nicolas Dobigeon; Steve McLaughlin 001; Jean-Yves Tourneret (ICASSP, 2014)

Sampling from a multivariate Gaussian distribution truncated on a simplex: A review. - Yoann Altmann; Steve McLaughlin 001; Nicolas Dobigeon (SSP, 2014)

Nonlinear unmixing of vegetated areas: A model comparison based on simulated and real hyperspectral data. - Nicolas Dobigeon; Laurent Tits; Ben Somers; Yoann Altmann; Pol Coppin (WHISPERS, 2014)

A Comparison of Nonlinear Mixing Models for Vegetated Areas Using Simulated and Real Hyperspectral Data. - Nicolas Dobigeon; Laurent Tits; Ben Somers; Yoann Altmann; Pol Coppin (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2014)

Residual Component Analysis of Hyperspectral Images - Application to Joint Nonlinear Unmixing and Nonlinearity Detection. - Yoann Altmann; Nicolas Dobigeon; Steve McLaughlin 001; Jean-Yves Tourneret (IEEE Trans. Image Process., 2014)

Unsupervised Post-Nonlinear Unmixing of Hyperspectral Images Using a Hamiltonian Monte Carlo Algorithm. - Yoann Altmann; Nicolas Dobigeon; Jean-Yves Tourneret (IEEE Trans. Image Process., 2014)

Nonlinear spectral unmixing using residual component analysis and a Gamma Markov random field. - Yoann Altmann; Marcelo Pereyra; Steve McLaughlin 001 (CAMSAP, 2015)

Robust linear spectral unmixing using outlier detection. - Yoann Altmann; Steve McLaughlin 001; Alfred O. Hero III (ICASSP, 2015)

Linear spectral unmixing using collaborative sparse regression and correlated supports. - Yoann Altmann; Marcelo Pereyra; José M. Bioucas-Dias (WHISPERS, 2015)

Robust Linear Spectral Unmixing Using Anomaly Detection. - Yoann Altmann; Steve McLaughlin 001; Alfred O. Hero III (IEEE Trans. Computational Imaging, 2015)

Bayesian Nonlinear Hyperspectral Unmixing With Spatial Residual Component Analysis. - Yoann Altmann; Marcelo Pereyra; Stephen McLaughlin 001 (IEEE Trans. Computational Imaging, 2015)

Collaborative sparse regression using spatially correlated supports - Application to hyperspectral unmixing. - Yoann Altmann; Marcelo Pereyra; José M. Bioucas-Dias (IEEE Trans. Image Process., 2015)

Spectral Unmixing of Multispectral Lidar Signals. - Yoann Altmann; Andrew M. Wallace; Steve McLaughlin 001 (IEEE Trans. Signal Process., 2015)

Joint spectral clustering and range estimation for 3D scene reconstruction using multispectral lidar waveforms. - Yoann Altmann; Aurora Maccarone; Aongus McCarthy; Gerald S. Buller; Steve McLaughlin 001 (EUSIPCO, 2016)

Bayesian estimation for the local assessment of the multifractality parameter of multivariate time series. - Sébastien Combrexelle; Herwig Wendt; Yoann Altmann; Jean-Yves Tourneret; Stephen McLaughlin 001; Patrice Abry (EUSIPCO, 2016)

Restoration of intensity and depth images constructed using sparse single-photon data. - Abderrahim Halimi; Yoann Altmann; Aongus McCarthy; Ximing Ren; Rachael Tobin; Gerald S. Buller; Steve McLaughlin 001 (EUSIPCO, 2016)

Target detection for depth imaging using sparse single-photon data. - Yoann Altmann; Ximing Ren; Aongus McCarthy; Gerald S. Buller; Steve McLaughlin 001 (ICASSP, 2016)

A Bayesian framework for the multifractal analysis of images using data augmentation and a whittle approximation. - Sébastien Combrexelle; Herwig Wendt; Yoann Altmann; Jean-Yves Tourneret; Steve McLaughlin 001; Patrice Abry (ICASSP, 2016)

Bayesian joint estimation of the multifractality parameter of image patches using gamma Markov Random Field priors. - Sébastien Combrexelle; Herwig Wendt; Yoann Altmann; Jean-Yves Tourneret; Steve McLaughlin 001; Patrice Abry (ICIP, 2016)

A Bayesian approach for the multifractal analysis of spatio-temporal data. - Sébastien Combrexelle; Herwig Wendt; Jean-Yves Tourneret; Yoann Altmann; Steve McLaughlin 001; Patrice Abry (IWSSIP, 2016)

Joint range estimation and spectral classification for 3D scene reconstruction using multispectral Lidar waveforms. - Yoann Altmann; Aurora Maccarone; Aongus McCarthy; Gerald S. Buller; Steve McLaughlin 001 (SSP, 2016)

Robust Markov Random Field outlier detection and removal in subsampled images. - Paul McCool; Yoann Altmann; Antonios Perperidis; Steve McLaughlin 001 (SSP, 2016)

Robust spectral unmixing of multispectral Lidar waveforms. - Yoann Altmann; Aurora Maccarone; Aongus McCarthy; Gregory E. Newstadt; Gerald S. Buller; Stephen McLaughlin 001; Alfred O. Hero III (WHISPERS, 2016)

Robust Bayesian Target Detection Algorithm for Depth Imaging From Sparse Single-Photon Data. - Yoann Altmann; Ximing Ren; Aongus McCarthy; Gerald S. Buller; Steve McLaughlin 001 (IEEE Trans. Computational Imaging, 2016)

Lidar Waveform-Based Analysis of Depth Images Constructed Using Sparse Single-Photon Data. - Yoann Altmann; Ximing Ren; Aongus McCarthy; Gerald S. Buller; Steve McLaughlin 001 (IEEE Trans. Image Process., 2016)

Unsupervised restoration of subsampled images constructed from geometric and binomial data. - Yoann Altmann; Steve McLaughlin 001; Miles J. Padgett (CAMSAP, 2017)

Restoration of depth and intensity images using a graph laplacian regularization. - Abderrahim Halimi; Peter Connolly; Ximing Ren; Yoann Altmann; István Gyöngy; Robert K. Henderson; Stephen McLaughlin 001; Gerald S. Buller (CAMSAP, 2017)

Bayesian restoration of reflectivity and range profiles from subsampled single-photon multispectral Lidar data. - Yoann Altmann; Rachael Tobin; Aurora Maccarone; Ximing Ren; Aongus McCarthy; Gerald S. Buller; Steve McLaughlin 001 (EUSIPCO, 2017)

Automated Detection of Uninformative Frames in Pulmonary Optical Endomicroscopy. - Antonios Perperidis; Ahsan R. Akram; Yoann Altmann; Paul McCool; Jody Westerfeld; David Wilson; Kevin Dhaliwal; Stephen McLaughlin 001 (IEEE Trans. Biomed. Eng., 2017)

A Bayesian Approach to Denoising of Single-Photon Binary Images. - Yoann Altmann; Reuben Aspden; Miles J. Padgett; Steve McLaughlin 001 (IEEE Trans. Computational Imaging, 2017)

Robust Spectral Unmixing of Sparse Multispectral Lidar Waveforms Using Gamma Markov Random Fields. - Yoann Altmann; Aurora Maccarone; Aongus McCarthy; Gregory E. Newstadt; Gerald S. Buller; Steve McLaughlin 001; Alfred O. Hero III (IEEE Trans. Computational Imaging, 2017)

Range Estimation from Single-Photon Lidar Data Using a Stochastic Em Approach. - Yoann Altmann; Steve McLaughlin 001 (EUSIPCO, 2018)

Bayesian Restoration of High-Dimensional Photon-Starved Images. - Julián Tachella; Yoann Altmann; Marcelo Pereyra; Stephen McLaughlin 001; Jean-Yves Tourneret (EUSIPCO, 2018)

Anomaly Detection with High Resolution Hyperspectral Observations. - Cecile Chenot; Mehrdad Yaghoobi; Mike E. Davies 001; Yoann Altmann (GlobalSIP, 2018)

Deconvolution of Irregularly Subsampled Images. - Ahmed Karam Eldaly; Yoann Altmann; Antonios Perperidis; Steve McLaughlin 001 (SSP, 2018)

Multifractal Analysis of Multivariate Images Using Gamma Markov Random Field Priors. - Herwig Wendt; Sébastien Combrexelle; Yoann Altmann; Jean-Yves Tourneret; Steve McLaughlin 001; Patrice Abry (SIAM J. Imaging Sci., 2018)

Deconvolution and Restoration of Optical Endomicroscopy Images. - Ahmed Karam Eldaly; Yoann Altmann; Antonios Perperidis; Nikola Krstajic; Tushar Choudhary; Kevin Dhaliwal; Steve McLaughlin 001 (IEEE Trans. Computational Imaging, 2018)

Real-Time 3D Color Imaging with Single-Photon Lidar Data. - Julián Tachella; Yoann Altmann; Stephen McLaughlin 001; Jean-Yves Tourneret (CAMSAP, 2019)

Fast Surface Detection in Single-Photon Lidar Waveforms. - Julián Tachella; Yoann Altmann; Steve McLaughlin 001; Jean-Yves Tourneret (EUSIPCO, 2019)

Expectation-propagation Algorithms for Linear Regression with Poisson Noise: Application to Photon-limited Spectral Unmixing. - Yoann Altmann; Alessandro Perelli; Mike E. Davies 001 (ICASSP, 2019)

3D Reconstruction Using Single-photon Lidar Data Exploiting the Widths of the Returns. - Julián Tachella; Yoann Altmann; Steve McLaughlin 001; Jean-Yves Tourneret (ICASSP, 2019)

Patch-Based Sparse Representation For Bacterial Detection. - Ahmed Karam Eldaly; Yoann Altmann; Ahsan R. Akram; Antonios Perperidis; Kevin Dhaliwal; Steve McLaughlin 001 (ISBI, 2019)

Bayesian bacterial detection using irregularly sampled optical endomicroscopy images. - Ahmed Karam Eldaly; Yoann Altmann; Ahsan R. Akram; Paul McCool; Antonios Perperidis; Kevin Dhaliwal; Stephen McLaughlin 001 (Medical Image Anal., 2019)

Bayesian 3D Reconstruction of Complex Scenes from Single-Photon Lidar Data. - Julián Tachella; Yoann Altmann; Ximing Ren; Aongus McCarthy; Gerald S. Buller; Steve McLaughlin 001; Jean-Yves Tourneret (SIAM J. Imaging Sci., 2019)

A novel algorithm for the identification of dirac impulses from filtered noisy measurements. - Sylvain Meignen; Quentin Legros; Yoann Altmann; Steve McLaughlin 001 (Signal Process., 2019)

Stochastic EM algorithm for fast analysis of single waveform multi-spectral Lidar data. - Quentin Legros; Steve McLaughlin 001; Yoann Altmann; Sylvain Meignen (EUSIPCO, 2020)

Joint Robust Linear Regression and Anomaly Detection in Poisson noise using Expectation-Propagation. - Dan Yao; Yoann Altmann; Steve McLaughlin 001; Mike E. Davies 001 (EUSIPCO, 2020)

Sparse Spectral Unmixing of Hyperspectral Images using Expectation-Propagation. - Zeng Li 001; Yoann Altmann; Jie Chen 022; Steve McLaughlin 001; Susanto Rahardja (VCIP, 2020)

Seeing Around Corners with Edge-Resolved Transient Imaging. - Joshua Rapp; Charles Saunders; Julián Tachella; John Murray-Bruce; Yoann Altmann; Jean-Yves Tourneret; Stephen McLaughlin 001; Robin M. A. Dawson; Franco N. C. Wong; Vivek K. Goyal (CoRR, 2020)

Resource-efficient adaptive Bayesian tracking of magnetic fields with a quantum sensor. - K. Craigie; E. M. Gauger; Yoann Altmann; Cristian Bonato (CoRR, 2020)

Advances in Single-Photon Lidar for Autonomous Vehicles: Working Principles, Challenges, and Recent Advances. - Joshua Rapp; Julián Tachella; Yoann Altmann; Stephen McLaughlin 001; Vivek K. Goyal (IEEE Signal Process. Mag., 2020)

Expectation-Maximization Based Approach to 3D Reconstruction From Single-Waveform Multispectral Lidar Data. - Quentin Legros; Sylvain Meignen; Steve McLaughlin 001; Yoann Altmann (IEEE Trans. Computational Imaging, 2020)

Bayesian 3D Reconstruction of Subsampled Multispectral Single-Photon Lidar Signals. - Julián Tachella; Yoann Altmann; Miguel Marquez; Henry Arguello Fuentes; Jean-Yves Tourneret; Steve McLaughlin 001 (IEEE Trans. Computational Imaging, 2020)

Fast Online 3D Reconstruction of Dynamic Scenes From Individual Single-Photon Detection Events. - Yoann Altmann; Steve McLaughlin 001; Michael E. Davies 001 (IEEE Trans. Image Process., 2020)

Blind deconvolution of images corrupted by Gaussian noise using Expectation Propagation. - Abdullah Abdulaziz; Dan Yao; Yoann Altmann; Steve McLaughlin 001 (EUSIPCO, 2021)

Robust Hypersphere Fitting from Noisy Data Using an EM Algorithm. - Julien Lesouple; Barbara Pilastre; Yoann Altmann; Jean-Yves Tourneret (EUSIPCO, 2021)

Edge-Resolved Transient Imaging: Performance Analyses, Optimizations, and Simulations. - Charles Saunders; William Krska; Julián Tachella; Sheila W. Seidel; Joshua Rapp; John Murray-Bruce; Yoann Altmann; Steve McLaughlin 001; Vivek K. Goyal (ICIP, 2021)

Bayesian Activity Estimation and Uncertainty Quantification of Spent Nuclear Fuel Using Passive Gamma Emission Tomography. - Ahmed Karam Eldaly; Ming Fang; Angela Di Fulvio; Steve McLaughlin 001; Mike E. Davies 001; Yoann Altmann; Yves Wiaux (J. Imaging, 2021)

Hypersphere Fitting From Noisy Data Using an EM Algorithm. - Julien Lesouple; Barbara Pilastre; Yoann Altmann; Jean-Yves Tourneret (IEEE Signal Process. Lett., 2021)

Robust 3D Reconstruction of Dynamic Scenes From Single-Photon Lidar Using Beta-Divergences. - Quentin Legros; Julián Tachella; Rachael Tobin; Aongus McCarthy; Sylvain Meignen; Gerald S. Buller; Yoann Altmann; Steve McLaughlin 001; Michael E. Davies 001 (IEEE Trans. Image Process., 2021)

On approximate Bayesian methods for large-scale sparse linear inverse problems. - Yoann Altmann (EUSIPCO, 2022)

Semi-Supervised Gaussian Mixture Variational Autoencoder for Pulse Shape Discrimination. - Abdullah Abdulaziz; Jianxin Zhou; Angela Di Fulvio; Yoann Altmann; Stephen McLaughlin 001 (ICASSP, 2022)

Color Image Restoration in the Low Photon-Count Regime Using Expectation Propagation. - Dan Yao; Yoann Altmann; Stephen McLaughlin 001 (ICIP, 2022)

Patch-Based Image Restoration Using Expectation Propagation. - Dan Yao; Steve McLaughlin 001; Yoann Altmann (SIAM J. Imaging Sci., 2022)

Sparse Linear Spectral Unmixing of Hyperspectral Images Using Expectation-Propagation. - Zeng Li 001; Yoann Altmann; Jie Chen 022; Stephen McLaughlin 001; Susanto Rahardja (IEEE Trans. Geosci. Remote. Sens., 2022)

Deep Generative Model for Spatial-Spectral Unmixing With Multiple Endmember Priors. - Shuaikai Shi; Lijun Zhang 004; Yoann Altmann; Jie Chen 022 (IEEE Trans. Geosci. Remote. Sens., 2022)

Probabilistic Generative Model for Hyperspectral Unmixing Accounting for Endmember Variability. - Shuaikai Shi; Min Zhao; Lijun Zhang 004; Yoann Altmann; Jie Chen 022 (IEEE Trans. Geosci. Remote. Sens., 2022)

Fast Scalable Image Restoration Using Total Variation Priors and Expectation Propagation. - Dan Yao; Steve McLaughlin 001; Yoann Altmann (IEEE Trans. Image Process., 2022)

Probabilistic Spiking Neural Networks Training with Expectation - Propagation. - Dongrui Shen; Dan Yao; Stephen McLaughlin 001; Yoann Altmann (CAMSAP, 2023)

Expectation-Propagation with Low-Rank Constraints for Linear Inverse Problems. - Dongrui Shen; Stephen McLaughlin 001; Yoann Altmann (EUSIPCO, 2023)

Unsupervised Hyperspectral and Multispectral Images Fusion Based on the Cycle Consistency. - Shuaikai Shi; Lijun Zhang 004; Yoann Altmann; Jie Chen 022 (CoRR, 2023)

Efficient Bayesian Computation for Low-Photon Imaging Problems. - Savvas Melidonis; Paul Dobson; Yoann Altmann; Marcelo Pereyra; Konstantinos Zygalakis (SIAM J. Imaging Sci., 2023)

Investigation of Spiking Neural Networks for Joint Detection and Tracking. - Abdullah Abdulaziz; Reka Hegedus; Fraser Macdonald; Stephen McLaughlin 001; Yoann Altmann (EUSIPCO, 2024)

Accelerated Bayesian Imaging by Relaxed Proximal-Point Langevin Sampling. - Teresa Klatzer; Paul Dobson; Yoann Altmann; Marcelo Pereyra; Jesús María Sanz-Serna; Konstantinos C. Zygalakis (SIAM J. Imaging Sci., 2024)

Empirical Bayesian Imaging With Large-Scale Push-Forward Generative Priors. - Savvas Melidonis; Matthew Holden; Yoann Altmann; Marcelo Pereyra; Konstantinos C. Zygalakis (IEEE Signal Process. Lett., 2024)

A Variational Autoencoder with Semi-Supervised Latent Space for Source Term Estimation. - Abdullah Abdulaziz; Mike E. Davies 001; Steve McLaughlin 001; Yoann Altmann (SSP, 2025)

Score-Based Denoising Diffusion Models for Photon-Starved Image Restoration Problems. - Savvas Melidonis; Yiming Xi; Konstantinos C. Zygalakis; Yoann Altmann; Marcelo Pereyra (Trans. Mach. Learn. Res., 2025)

Training of Spiking Neural Networks with Expectation-Propagation. - Dan Yao; Steve McLaughlin 001; Yoann Altmann (CoRR, 2025)