activity
20122026
most citedHyperspectral and multispectral image fusion under spectrally varying spatial blurs -- Application to high dimensional infrared astronomical imaging

29 citations · 132 across the 19 of their papers we have counts for

collaborators
Showing 2020Show all

7 papers · 1 filter

cs.SD2020

Phase retrieval with Bregman divergences: Application to audio signal recovery

Pierre-Hugo Vial, Paul Magron, Thomas Oberlin +1

Phase retrieval aims to recover a signal from magnitude or power spectra measurements. It is often addressed by considering a minimization problem involving a quadratic cost functi…

eess.IV2020

Compartment model-based nonlinear unmixing for kinetic analysis of dynamic PET images

Yanna Cruz Cavalcanti, Thomas Oberlin, Vinicius Ferraris +3

When no arterial input function is available, quantification of dynamic PET images requires a previous step devoted to the extraction of a reference time-activity curve (TAC). Fact…

cs.SD2020

Phase recovery with Bregman divergences for audio source separation

Paul Magron, Pierre-Hugo Vial, Thomas Oberlin +1

Time-frequency audio source separation is usually achieved by estimating the short-time Fourier transform (STFT) magnitude of each source, and then applying a phase recovery algori…

cs.SD2020★ 24 cited

Phase retrieval with Bregman divergences and application to audio signal recovery

Pierre-Hugo Vial, Paul Magron, Thomas Oberlin +1

Phase retrieval (PR) aims to recover a signal from the magnitudes of a set of inner products. This problem arises in many audio signal processing applications which operate on a sh…

cs.LG2020★ 8 cited

Ordinal Non-negative Matrix Factorization for Recommendation

Olivier Gouvert, Thomas Oberlin, Cédric Févotte

We introduce a new non-negative matrix factorization (NMF) method for ordinal data, called OrdNMF. Ordinal data are categorical data which exhibit a natural ordering between the ca…

eess.IV2020

Fast reconstruction of atomic-scale STEM-EELS images from sparse sampling

Etienne Monier, Thomas Oberlin, Nathalie Brun +3

This paper discusses the reconstruction of partially sampled spectrum-images to accelerate the acquisition in scanning transmission electron microscopy (STEM). The problem of image…

astro-ph.IM2020★ 17 cited

Simulated JWST datasets for multispectral and hyperspectral image fusion

Claire Guilloteau, Thomas Oberlin, Olivier Berné +1

This paper aims at providing a comprehensive framework to generate an astrophysical scene and to simulate realistic hyperspectral and multispectral data acquired by two JWST instru…