Yoann Altmann - RankMe

102 papers B 3C 4Misc 10Journal 49Unranked 35

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Accuracy of the Wiener-Hopf Solution When Based on Sample Statistics. IEEE Signal Process. Lett. Stephan Weiss, Ian K. Proudler, Yoann Altmann
2025	—	`conf`	A Variational Autoencoder with Semi-Supervised Latent Space for Source Term Estimation. SSP Abdullah Abdulaziz, Mike E. Davies, Steve McLaughlin, Yoann Altmann
2025	—	`conf`	Neuromorphic Extended Object Tracking and Classification Using Spiking Neural Networks. EUSIPCO Craig Hamilton, Yoann Altmann
2025	J	`jnl`	Score-Based Denoising Diffusion Models for Photon-Starved Image Restoration Problems. Trans. Mach. Learn. Res. Savvas Melidonis, Yiming Xi, Konstantinos C. Zygalakis, Yoann Altmann, Marcelo Pereyra
2025	J	`jnl`	TM-UNet: A Deep Learning Approach for High-Resolution, Bend-Resilient Single-Fiber Imaging. IEEE Access Abdullah Abdulaziz, Simon Peter Mehkail, Hao-Wei Hu, Yoann Altmann, Miles J. Padgett, Stephen McLaughlin
2025	J	`jnl`	Training of Spiking Neural Networks with Expectation-Propagation. CoRR Dan Yao, Steve McLaughlin, Yoann Altmann
2024	J	`jnl`	Accelerated Bayesian Imaging by Relaxed Proximal-Point Langevin Sampling. SIAM J. Imaging Sci. Teresa Klatzer, Paul Dobson, Yoann Altmann, Marcelo Pereyra, Jesús María Sanz-Serna, Konstantinos C. Zygalakis
2024	J	`jnl`	Empirical Bayesian Imaging With Large-Scale Push-Forward Generative Priors. IEEE Signal Process. Lett. Savvas Melidonis, Matthew Holden, Yoann Altmann, Marcelo Pereyra, Konstantinos C. Zygalakis
2024	—	`conf`	Investigation of Spiking Neural Networks for Joint Detection and Tracking. EUSIPCO Abdullah Abdulaziz, Reka Hegedus, Fraser MacDonald, Stephen McLaughlin, Yoann Altmann
2023	J	`jnl`	Accelerated Bayesian imaging by relaxed proximal-point Langevin sampling. CoRR Teresa Klatzer, Paul Dobson, Yoann Altmann, Marcelo Pereyra, Jesús María Sanz-Serna, Konstantinos C. Zygalakis
2023	J	`jnl`	Efficient Bayesian Computation for Low-Photon Imaging Problems. SIAM J. Imaging Sci. Savvas Melidonis, Paul Dobson, Yoann Altmann, Marcelo Pereyra, Konstantinos Zygalakis
2023	—	`conf`	Expectation-Propagation with Low-Rank Constraints for Linear Inverse Problems. EUSIPCO Dongrui Shen, Stephen McLaughlin, Yoann Altmann
2023	—	`conf`	Probabilistic Spiking Neural Networks Training with Expectation - Propagation. CAMSAP Dongrui Shen, Dan Yao, Stephen McLaughlin, Yoann Altmann
2023	J	`jnl`	Unsupervised Hyperspectral and Multispectral Images Fusion Based on the Cycle Consistency. CoRR Shuaikai Shi, Lijun Zhang, Yoann Altmann, Jie Chen
2022	B	`conf`	Color Image Restoration in the Low Photon-Count Regime Using Expectation Propagation. ICIP Dan Yao, Yoann Altmann, Stephen McLaughlin
2022	J	`jnl`	Deep Generative Model for Spatial-Spectral Unmixing With Multiple Endmember Priors. IEEE Trans. Geosci. Remote. Sens. Shuaikai Shi, Lijun Zhang, Yoann Altmann, Jie Chen
2022	J	`jnl`	Fast Scalable Image Restoration Using Total Variation Priors and Expectation Propagation. IEEE Trans. Image Process. Dan Yao, Steve McLaughlin, Yoann Altmann
2022	—	`conf`	On approximate Bayesian methods for large-scale sparse linear inverse problems. EUSIPCO Yoann Altmann
2022	J	`jnl`	Patch-Based Image Restoration Using Expectation Propagation. SIAM J. Imaging Sci. Dan Yao, Steve McLaughlin, Yoann Altmann
2022	J	`jnl`	Probabilistic Generative Model for Hyperspectral Unmixing Accounting for Endmember Variability. IEEE Trans. Geosci. Remote. Sens. Shuaikai Shi, Min Zhao, Lijun Zhang, Yoann Altmann, Jie Chen
2022	Misc	`conf`	Semi-Supervised Gaussian Mixture Variational Autoencoder for Pulse Shape Discrimination. ICASSP Abdullah Abdulaziz, Jianxin Zhou, Angela Di Fulvio, Yoann Altmann, Stephen McLaughlin
2022	J	`jnl`	Sparse Linear Spectral Unmixing of Hyperspectral Images Using Expectation-Propagation. IEEE Trans. Geosci. Remote. Sens. Zeng Li, Yoann Altmann, Jie Chen, Stephen McLaughlin, Susanto Rahardja
2021	J	`jnl`	Bayesian Activity Estimation and Uncertainty Quantification of Spent Nuclear Fuel Using Passive Gamma Emission Tomography. J. Imaging Ahmed Karam Eldaly, Ming Fang, Angela Di Fulvio, Steve McLaughlin, Mike E. Davies, Yoann Altmann, Yves Wiaux
2021	—	`conf`	Blind deconvolution of images corrupted by Gaussian noise using Expectation Propagation. EUSIPCO Abdullah Abdulaziz, Dan Yao, Yoann Altmann, Steve McLaughlin
2021	B	`conf`	Edge-Resolved Transient Imaging: Performance Analyses, Optimizations, and Simulations. ICIP Charles Saunders, William Krska, Julián Tachella, Sheila W. Seidel, Joshua Rapp, John Murray-Bruce, Yoann Altmann, Steve McLaughlin, Vivek K. Goyal
2021	J	`jnl`	Fast Scalable Image Restoration using Total Variation Priors and Expectation Propagation. CoRR Dan Yao, Stephen McLaughlin, Yoann Altmann
2021	J	`jnl`	Hypersphere Fitting From Noisy Data Using an EM Algorithm. IEEE Signal Process. Lett. Julien Lesouple, Barbara Pilastre, Yoann Altmann, Jean-Yves Tourneret
2021	J	`jnl`	Patch-Based Image Restoration using Expectation Propagation. CoRR Dan Yao, Stephen McLaughlin, Yoann Altmann
2021	J	`jnl`	Robust 3D Reconstruction of Dynamic Scenes From Single-Photon Lidar Using Beta-Divergences. IEEE Trans. Image Process. Quentin Legros, Julián Tachella, Rachael Tobin, Aongus McCarthy, Sylvain Meignen, Gerald S. Buller, Yoann Altmann, Steve McLaughlin, Michael E. Davies
2021	—	`conf`	Robust Hypersphere Fitting from Noisy Data Using an EM Algorithm. EUSIPCO Julien Lesouple, Barbara Pilastre, Yoann Altmann, Jean-Yves Tourneret
2020	J	`jnl`	Advances in Single-Photon Lidar for Autonomous Vehicles: Working Principles, Challenges, and Recent Advances. IEEE Signal Process. Mag. Joshua Rapp, Julián Tachella, Yoann Altmann, Stephen McLaughlin, Vivek K. Goyal
2020	J	`jnl`	Bayesian 3D Reconstruction of Subsampled Multispectral Single-Photon Lidar Signals. IEEE Trans. Computational Imaging Julián Tachella, Yoann Altmann, Miguel Marquez, Henry Arguello Fuentes, Jean-Yves Tourneret, Steve McLaughlin
2020	J	`jnl`	Expectation-Maximization Based Approach to 3D Reconstruction From Single-Waveform Multispectral Lidar Data. IEEE Trans. Computational Imaging Quentin Legros, Sylvain Meignen, Steve McLaughlin, Yoann Altmann
2020	J	`jnl`	Fast Online 3D Reconstruction of Dynamic Scenes From Individual Single-Photon Detection Events. IEEE Trans. Image Process. Yoann Altmann, Steve McLaughlin, Michael E. Davies
2020	—	`conf`	Joint Robust Linear Regression and Anomaly Detection in Poisson noise using Expectation-Propagation. EUSIPCO Dan Yao, Yoann Altmann, Steve McLaughlin, Mike E. Davies
2020	J	`jnl`	Resource-efficient adaptive Bayesian tracking of magnetic fields with a quantum sensor. CoRR K. Craigie, E. M. Gauger, Yoann Altmann, Cristian Bonato
2020	J	`jnl`	Robust 3D reconstruction of dynamic scenes from single-photon lidar using Beta-divergences. CoRR Quentin Legros, Julián Tachella, Rachael Tobin, Aongus McCarthy, Sylvain Meignen, Gerald S. Buller, Yoann Altmann, Stephen McLaughlin, Michael E. Davies
2020	J	`jnl`	Seeing Around Corners with Edge-Resolved Transient Imaging. CoRR 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
2020	C	`conf`	Sparse Spectral Unmixing of Hyperspectral Images using Expectation-Propagation. VCIP Zeng Li, Yoann Altmann, Jie Chen, Steve McLaughlin, Susanto Rahardja
2020	—	`conf`	Stochastic EM algorithm for fast analysis of single waveform multi-spectral Lidar data. EUSIPCO Quentin Legros, Steve McLaughlin, Yoann Altmann, Sylvain Meignen
2019	Misc	`conf`	3D Reconstruction Using Single-photon Lidar Data Exploiting the Widths of the Returns. ICASSP Julián Tachella, Yoann Altmann, Steve McLaughlin, Jean-Yves Tourneret
2019	J	`jnl`	A novel algorithm for the identification of dirac impulses from filtered noisy measurements. Signal Process. Sylvain Meignen, Quentin Legros, Yoann Altmann, Steve McLaughlin
2019	J	`jnl`	Bayesian 3D Reconstruction of Complex Scenes from Single-Photon Lidar Data. SIAM J. Imaging Sci. Julián Tachella, Yoann Altmann, Ximing Ren, Aongus McCarthy, Gerald S. Buller, Steve McLaughlin, Jean-Yves Tourneret
2019	J	`jnl`	Bayesian bacterial detection using irregularly sampled optical endomicroscopy images. Medical Image Anal. Ahmed Karam Eldaly, Yoann Altmann, Ahsan R. Akram, Paul McCool, Antonios Perperidis, Kevin Dhaliwal, Stephen McLaughlin
2019	Misc	`conf`	Expectation-propagation Algorithms for Linear Regression with Poisson Noise: Application to Photon-limited Spectral Unmixing. ICASSP Yoann Altmann, Alessandro Perelli, Mike E. Davies
2019	—	`conf`	Fast Surface Detection in Single-Photon Lidar Waveforms. EUSIPCO Julián Tachella, Yoann Altmann, Steve McLaughlin, Jean-Yves Tourneret
2019	—	`conf`	Patch-Based Sparse Representation For Bacterial Detection. ISBI Ahmed Karam Eldaly, Yoann Altmann, Ahsan R. Akram, Antonios Perperidis, Kevin Dhaliwal, Steve McLaughlin
2019	—	`conf`	Real-Time 3D Color Imaging with Single-Photon Lidar Data. CAMSAP Julián Tachella, Yoann Altmann, Stephen McLaughlin, Jean-Yves Tourneret
2018	—	`conf`	Anomaly Detection with High Resolution Hyperspectral Observations. GlobalSIP Cecile Chenot, Mehrdad Yaghoobi, Mike E. Davies, Yoann Altmann
2018	—	`conf`	Bayesian Restoration of High-Dimensional Photon-Starved Images. EUSIPCO Julián Tachella, Yoann Altmann, Marcelo Pereyra, Stephen McLaughlin, Jean-Yves Tourneret
2018	J	`jnl`	Deconvolution and Restoration of Optical Endomicroscopy Images. IEEE Trans. Computational Imaging Ahmed Karam Eldaly, Yoann Altmann, Antonios Perperidis, Nikola Krstajic, Tushar Choudhary, Kevin Dhaliwal, Steve McLaughlin
2018	—	`conf`	Deconvolution of Irregularly Subsampled Images. SSP Ahmed Karam Eldaly, Yoann Altmann, Antonios Perperidis, Steve McLaughlin
2018	J	`jnl`	Multifractal Analysis of Multivariate Images Using Gamma Markov Random Field Priors. SIAM J. Imaging Sci. Herwig Wendt, Sébastien Combrexelle, Yoann Altmann, Jean-Yves Tourneret, Steve McLaughlin, Patrice Abry
2018	J	`jnl`	Patch-based Sparse Representation For Bacterial Detection. CoRR Ahmed Karam Eldaly, Yoann Altmann, Ahsan R. Akram, Antonios Perperidis, Kevin Dhaliwal, Steve McLaughlin
2018	—	`conf`	Range Estimation from Single-Photon Lidar Data Using a Stochastic Em Approach. EUSIPCO Yoann Altmann, Steve McLaughlin
2017	J	`jnl`	A Bayesian Approach to Denoising of Single-Photon Binary Images. IEEE Trans. Computational Imaging Yoann Altmann, Reuben Aspden, Miles J. Padgett, Steve McLaughlin
2017	J	`jnl`	Automated Detection of Uninformative Frames in Pulmonary Optical Endomicroscopy. IEEE Trans. Biomed. Eng. Antonios Perperidis, Ahsan R. Akram, Yoann Altmann, Paul McCool, Jody Westerfeld, David Wilson, Kevin Dhaliwal, Stephen McLaughlin
2017	—	`conf`	Bayesian restoration of reflectivity and range profiles from subsampled single-photon multispectral Lidar data. EUSIPCO Yoann Altmann, Rachael Tobin, Aurora Maccarone, Ximing Ren, Aongus McCarthy, Gerald S. Buller, Steve McLaughlin
2017	J	`jnl`	Deconvolution and Restoration of Optical Endomicroscopy Images. CoRR Ahmed Karam Eldaly, Yoann Altmann, Antonios Perperidis, Nikola Krstajic, Tushar Choudhary, Kevin Dhaliwal, Stephen McLaughlin
2017	—	`conf`	Restoration of depth and intensity images using a graph laplacian regularization. CAMSAP Abderrahim Halimi, Peter Connolly, Ximing Ren, Yoann Altmann, István Gyöngy, Robert K. Henderson, Stephen McLaughlin, Gerald S. Buller
2017	J	`jnl`	Robust Spectral Unmixing of Sparse Multispectral Lidar Waveforms Using Gamma Markov Random Fields. IEEE Trans. Computational Imaging Yoann Altmann, Aurora Maccarone, Aongus McCarthy, Gregory E. Newstadt, Gerald S. Buller, Steve McLaughlin, Alfred O. Hero III
2017	—	`conf`	Unsupervised restoration of subsampled images constructed from geometric and binomial data. CAMSAP Yoann Altmann, Steve McLaughlin, Miles J. Padgett
2016	—	`conf`	A Bayesian approach for the multifractal analysis of spatio-temporal data. IWSSIP Sébastien Combrexelle, Herwig Wendt, Jean-Yves Tourneret, Yoann Altmann, Steve McLaughlin, Patrice Abry
2016	Misc	`conf`	A Bayesian framework for the multifractal analysis of images using data augmentation and a whittle approximation. ICASSP Sébastien Combrexelle, Herwig Wendt, Yoann Altmann, Jean-Yves Tourneret, Steve McLaughlin, Patrice Abry
2016	—	`conf`	Bayesian estimation for the local assessment of the multifractality parameter of multivariate time series. EUSIPCO Sébastien Combrexelle, Herwig Wendt, Yoann Altmann, Jean-Yves Tourneret, Stephen McLaughlin, Patrice Abry
2016	B	`conf`	Bayesian joint estimation of the multifractality parameter of image patches using gamma Markov Random Field priors. ICIP Sébastien Combrexelle, Herwig Wendt, Yoann Altmann, Jean-Yves Tourneret, Steve McLaughlin, Patrice Abry
2016	—	`conf`	Joint range estimation and spectral classification for 3D scene reconstruction using multispectral Lidar waveforms. SSP Yoann Altmann, Aurora Maccarone, Aongus McCarthy, Gerald S. Buller, Steve McLaughlin
2016	—	`conf`	Joint spectral clustering and range estimation for 3D scene reconstruction using multispectral lidar waveforms. EUSIPCO Yoann Altmann, Aurora Maccarone, Aongus McCarthy, Gerald S. Buller, Steve McLaughlin
2016	J	`jnl`	Lidar Waveform-Based Analysis of Depth Images Constructed Using Sparse Single-Photon Data. IEEE Trans. Image Process. Yoann Altmann, Ximing Ren, Aongus McCarthy, Gerald S. Buller, Steve McLaughlin
2016	—	`conf`	Restoration of intensity and depth images constructed using sparse single-photon data. EUSIPCO Abderrahim Halimi, Yoann Altmann, Aongus McCarthy, Ximing Ren, Rachael Tobin, Gerald S. Buller, Steve McLaughlin
2016	J	`jnl`	Robust Bayesian Target Detection Algorithm for Depth Imaging From Sparse Single-Photon Data. IEEE Trans. Computational Imaging Yoann Altmann, Ximing Ren, Aongus McCarthy, Gerald S. Buller, Steve McLaughlin
2016	—	`conf`	Robust Markov Random Field outlier detection and removal in subsampled images. SSP Paul McCool, Yoann Altmann, Antonios Perperidis, Steve McLaughlin
2016	—	`conf`	Robust spectral unmixing of multispectral Lidar waveforms. WHISPERS Yoann Altmann, Aurora Maccarone, Aongus McCarthy, Gregory E. Newstadt, Gerald S. Buller, Stephen McLaughlin, Alfred O. Hero III
2016	Misc	`conf`	Target detection for depth imaging using sparse single-photon data. ICASSP Yoann Altmann, Ximing Ren, Aongus McCarthy, Gerald S. Buller, Steve McLaughlin
2015	J	`jnl`	Bayesian Nonlinear Hyperspectral Unmixing With Spatial Residual Component Analysis. IEEE Trans. Computational Imaging Yoann Altmann, Marcelo Pereyra, Stephen McLaughlin
2015	J	`jnl`	Collaborative sparse regression using spatially correlated supports - Application to hyperspectral unmixing. IEEE Trans. Image Process. Yoann Altmann, Marcelo Pereyra, José M. Bioucas-Dias
2015	—	`conf`	Linear spectral unmixing using collaborative sparse regression and correlated supports. WHISPERS Yoann Altmann, Marcelo Pereyra, José M. Bioucas-Dias
2015	—	`conf`	Nonlinear spectral unmixing using residual component analysis and a Gamma Markov random field. CAMSAP Yoann Altmann, Marcelo Pereyra, Steve McLaughlin
2015	J	`jnl`	Robust Linear Spectral Unmixing Using Anomaly Detection. IEEE Trans. Computational Imaging Yoann Altmann, Steve McLaughlin, Alfred O. Hero III
2015	Misc	`conf`	Robust linear spectral unmixing using outlier detection. ICASSP Yoann Altmann, Steve McLaughlin, Alfred O. Hero III
2015	J	`jnl`	Spectral Unmixing of Multispectral Lidar Signals. IEEE Trans. Signal Process. Yoann Altmann, Andrew M. Wallace, Steve McLaughlin
2014	J	`jnl`	A Comparison of Nonlinear Mixing Models for Vegetated Areas Using Simulated and Real Hyperspectral Data. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Nicolas Dobigeon, Laurent Tits, Ben Somers, Yoann Altmann, Pol Coppin
2014	—	`conf`	Nonlinear unmixing of vegetated areas: A model comparison based on simulated and real hyperspectral data. WHISPERS Nicolas Dobigeon, Laurent Tits, Ben Somers, Yoann Altmann, Pol Coppin
2014	J	`jnl`	Residual Component Analysis of Hyperspectral Images - Application to Joint Nonlinear Unmixing and Nonlinearity Detection. IEEE Trans. Image Process. Yoann Altmann, Nicolas Dobigeon, Steve McLaughlin, Jean-Yves Tourneret
2014	Misc	`conf`	Residual component analysis of hyperspectral images for joint nonlinear unmixing and nonlinearity detection. ICASSP Yoann Altmann, Nicolas Dobigeon, Steve McLaughlin, Jean-Yves Tourneret
2014	—	`conf`	Sampling from a multivariate Gaussian distribution truncated on a simplex: A review. SSP Yoann Altmann, Steve McLaughlin, Nicolas Dobigeon
2014	J	`jnl`	Unsupervised Post-Nonlinear Unmixing of Hyperspectral Images Using a Hamiltonian Monte Carlo Algorithm. IEEE Trans. Image Process. Yoann Altmann, Nicolas Dobigeon, Jean-Yves Tourneret
2013	Misc	`conf`	A robust test for nonlinear mixture detection in hyperspectral images. ICASSP Yoann Altmann, Nicolas Dobigeon, Jean-Yves Tourneret, José Carlos M. Bermudez
2013	—	`conf`	Bayesian unsupervised unmixing of hyperspectral images using a post-nonlinear model. EUSIPCO Yoann Altmann, Nicolas Dobigeon, Jean-Yves Tourneret
2013	J	`jnl`	Nonlinear Spectral Unmixing of Hyperspectral Images Using Gaussian Processes. IEEE Trans. Signal Process. Yoann Altmann, Nicolas Dobigeon, Steve McLaughlin, Jean-Yves Tourneret
2013	—	`conf`	Nonlinear hyperspectral unmixing using Gaussian processes. WHISPERS Yoann Altmann, Nicolas Dobigeon, Jean-Yves Tourneret, Steve McLaughlin
2013	—	`—`	Nonlinear unmixing of hyperspectral images. (Démélange non-linéaire d'images hyperspectrales). Yoann Altmann
2013	J	`jnl`	Nonlinearity Detection in Hyperspectral Images Using a Polynomial Post-Nonlinear Mixing Model. IEEE Trans. Image Process. Yoann Altmann, Nicolas Dobigeon, Jean-Yves Tourneret
2012	—	`conf`	Detecting nonlinear mixtures in hyperspectral images. WHISPERS Yoann Altmann, Nicolas Dobigeon, Jean-Yves Tourneret
2012	J	`jnl`	Supervised Nonlinear Spectral Unmixing Using a Postnonlinear Mixing Model for Hyperspectral Imagery. IEEE Trans. Image Process. Yoann Altmann, Abderrahim Halimi, Nicolas Dobigeon, Jean-Yves Tourneret
2012	Misc	`conf`	Unsupervised nonlinear unmixing of hyperspectral images using Gaussian processes. ICASSP Yoann Altmann, Nicolas Dobigeon, Steve McLaughlin, Jean-Yves Tourneret
2011	C	`conf`	A post nonlinear mixing model for hyperspectral images unmixing. IGARSS Yoann Altmann, Abderrahim Halimi, Nicolas Dobigeon, Jean-Yves Tourneret
2011	—	`conf`	Bilinear models for nonlinear unmixing of hyperspectral images. WHISPERS Yoann Altmann, Nicolas Dobigeon, Jean-Yves Tourneret
2011	J	`jnl`	Nonlinear Unmixing of Hyperspectral Images Using a Generalized Bilinear Model. IEEE Trans. Geosci. Remote. Sens. Abderrahim Halimi, Yoann Altmann, Nicolas Dobigeon, Jean-Yves Tourneret
2011	C	`conf`	Nonlinear unmixing of hyperspectral images using radial basis functions and orthogonal least squares. IGARSS Yoann Altmann, Nicolas Dobigeon, Jean-Yves Tourneret, Steve McLaughlin
2011	Misc	`conf`	Supervised nonlinear spectral unmixing using a polynomial post nonlinear model for hyperspectral imagery. ICASSP Yoann Altmann, Abderrahim Halimi, Nicolas Dobigeon, Jean-Yves Tourneret
2011	C	`conf`	Unmixing hyperspectral images using the generalized bilinear model. IGARSS Abderrahim Halimi, Yoann Altmann, Nicolas Dobigeon, Jean-Yves Tourneret