Name
Affiliation
Papers
YOANN ALTMANN
Univ Toulouse, IRIT ENSEEIHT, Toulouse, France
49
Collaborators
Citations 
PageRank 
67
229
22.58
Referers 
Referees 
References 
316
291
332
Search Limit
100316
Title
Citations
PageRank
Year
Fast Scalable Image Restoration Using Total Variation Priors and Expectation Propagation00.342022
Hypersphere Fitting From Noisy Data Using an EM Algorithm00.342021
Bayesian Activity Estimation and Uncertainty Quantification of Spent Nuclear Fuel Using Passive Gamma Emission Tomography00.342021
Stochastic Em Algorithm For Fast Analysis Of Single Waveform Multi-Spectral Lidar Data00.342020
Joint Robust Linear Regression And Anomaly Detection In Poisson Noise Using Expectation-Propagation00.342020
Bayesian 3D Reconstruction of Subsampled Multispectral Single-Photon Lidar Signals20.372020
Real-Time 3D Color Imaging with Single-Photon Lidar Data00.342019
Bayesian bacterial detection using irregularly sampled optical endomicroscopy images.00.342019
A Novel Algorithm for the Identification of Dirac Impulses from Filtered Noisy Measurements00.342019
Bayesian 3D Reconstruction of Complex Scenes from Single-Photon Lidar Data.40.462019
Expectation-Propagation Algorithms For Linear Regression With Poisson Noise: Application To Photon-Limited Spectral Unmixing00.342019
3d Reconstruction Using Single-Photon Lidar Data Exploiting The Widths Of The Returns00.342019
Fast Surface Detection In Single-Photon Lidar Waveforms00.342019
Multifractal Analysis of Multivariate Images Using Gamma Markov Random Field Priors.00.342018
Deconvolution and Restoration of Optical Endomicroscopy Images.00.342018
Bayesian Restoration of High-Dimensional Photon-Starved Images.00.342018
Deconvolution of Irregularly Subsampled Images00.342018
Anomaly Detection with High Resolution Hyperspectral Observations.00.342018
Range Estimation from Single-Photon Lidar Data Using a Stochastic Em Approach.00.342018
Robust Spectral Unmixing of Sparse Multispectral Lidar Waveforms Using Gamma Markov Random Fields.20.402017
Restoration of depth and intensity images using a graph laplacian regularization00.342017
Unsupervised Restoration Of Subsampled Images Constructed From Geometric And Binomial Data00.342017
A Bayesian Approach to Denoising of Single-Photon Binary Images.10.362017
Automated Detection of Uninformative Frames in Pulmonary Optical Endomicroscopy.30.712017
Bayesian restoration of reflectivity and range profiles from subsampled single-photon multispectral Lidar data.00.342017
A Bayesian approach for the multifractal analysis of spatio-temporal data00.342016
Bayesian estimation for the local assessment of the multifractality parameter of multivariate time series.00.342016
Restoration of intensity and depth images constructed using sparse single-photon data.00.342016
Robust Bayesian Target Detection Algorithm for Depth Imaging From Sparse Single-Photon Data.20.382016
Nonlinear spectral unmixing using residual component analysis and a Gamma Markov random field00.342015
Robust Linear Spectral Unmixing Using Outlier Detection00.342015
Linear spectral unmixing using collaborative sparse regression and correlated supports00.342015
Collaborative sparse regression using spatially correlated supports - Application to hyperspectral unmixing60.412015
Spectral unmixing of Multispectral Lidar signals60.472015
Robust Linear Spectral Unmixing Using Anomaly Detection120.542015
Bayesian Nonlinear Hyperspectral Unmixing With Spatial Residual Component Analysis100.472015
Sampling from a multivariate Gaussian distribution truncated on a simplex: A review60.462014
Residual Component Analysis of Hyperspectral Images—Application to Joint Nonlinear Unmixing and Nonlinearity Detection230.882014
A Comparison of Nonlinear Mixing Models for Vegetated Areas Using Simulated and Real Hyperspectral Data60.452014
Nonlinear Unmixing Of Vegetated Areas: A Model Comparison Based On Simulated And Real Hyperspectral Data00.342014
Unsupervised Post-Nonlinear Unmixing of Hyperspectral Images Using a Hamiltonian Monte Carlo Algorithm361.262014
Bayesian unsupervised unmixing of hyperspectral images using a post-nonlinear model00.342013
Nonlinearity detection in hyperspectral images using a polynomial post-nonlinear mixing model.200.892013
A Robust Test For Nonlinear Mixture Detection In Hyperspectral Images50.512013
Nonlinear Hyperspectral Unmixing Using Gaussian Processes00.342013
Detecting nonlinear mixtures in hyperspectral images00.342012
Supervised Nonlinear Spectral Unmixing Using a Postnonlinear Mixing Model for Hyperspectral Imagery622.082012
Supervised nonlinear spectral unmixing using a polynomial post nonlinear model for hyperspectral imagery90.532011
Bilinear models for nonlinear unmixing of hyperspectral images140.812011