Thomas Oberlin | DeepAI

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Featured Co-authors

Nicolas Dobigeon
45 publications
Cédric Févotte
32 publications
Xiaoyan Li
26 publications
Rufin VanRullen
22 publications
Paul Magron
14 publications
Ondřej Mokrý
6 publications
Marie Chabert
5 publications
Vinicius Ferraris
4 publications
Pierre-Hugo Vial
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Olivier Gouvert
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Simon Stute
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∙ 12/21/2022

A recurrent CNN for online object detection on raw radar frames

Automotive radar sensors provide valuable information for advanced drivi...

0 Colin Decourt, et al. ∙

∙ 06/28/2022

Algorithms for audio inpainting based on probabilistic nonnegative matrix factorization

Audio inpainting, i.e., the task of restoring missing or occluded audio ...

0 Ondřej Mokrý, et al. ∙

∙ 04/04/2022

Learning the Proximity Operator in Unfolded ADMM for Phase Retrieval

This paper considers the phase retrieval (PR) problem, which aims to rec...

0 Pierre-Hugo Vial, et al. ∙

∙ 01/21/2021

Regularization via deep generative models: an analysis point of view

This paper proposes a new way of regularizing an inverse problem in imag...

0 Thomas Oberlin, et al. ∙

∙ 11/25/2020

Phase retrieval with Bregman divergences: Application to audio signal recovery

Phase retrieval aims to recover a signal from magnitude or power spectra...

0 Pierre-Hugo Vial, et al. ∙

∙ 10/20/2020

Phase recovery with Bregman divergences for audio source separation

Time-frequency audio source separation is usually achieved by estimating...

0 Paul Magron, et al. ∙

∙ 10/01/2020

Phase retrieval with Bregman divergences and application to audio signal recovery

Phase retrieval (PR) aims to recover a signal from the magnitudes of a s...

0 Pierre-Hugo Vial, et al. ∙

∙ 06/01/2020

Ordinal Non-negative Matrix Factorization for Recommendation

We introduce a new non-negative matrix factorization (NMF) method for or...

0 Olivier Gouvert, et al. ∙

∙ 02/04/2020

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

This paper discusses the reconstruction of partially sampled spectrum-im...

5 Étienne Monier, et al. ∙

∙ 12/26/2019

Hyperspectral and multispectral image fusion under spectrally varying spatial blurs – Application to high dimensional infrared astronomical imaging

Hyperspectral imaging has become a significant source of valuable data f...

16 Claire Guilloteau, et al. ∙

∙ 05/20/2019

Recommendation from Raw Data with Adaptive Compound Poisson Factorization

Count data are often used in recommender systems: they are widespread (s...

0 Olivier Gouvert, et al. ∙

∙ 07/30/2018

Factor analysis of dynamic PET images: beyond Gaussian noise

Factor analysis has proven to be a relevant tool for extracting tissue t...

0 Yanna Cruz Cavalcanti, et al. ∙

∙ 07/21/2018

Coupled dictionary learning for unsupervised change detection between multi-sensor remote sensing images

Archetypal scenarios for change detection generally consider two images ...

0 Vinicius Ferraris, et al. ∙

∙ 02/27/2018

Reconstruction of partially sampled multi-band images - Application to STEM-EELS imaging

Electron microscopy has shown to be a very powerful tool to map the chem...

0 Étienne Monier, et al. ∙

∙ 01/05/2018

Negative Binomial Matrix Factorization for Recommender Systems

We introduce negative binomial matrix factorization (NBMF), a matrix fac...

0 Olivier Gouvert, et al. ∙

∙ 07/19/2017

Unmixing dynamic PET images with variable specific binding kinetics

To analyze dynamic positron emission tomography (PET) images, various ge...

0 Yanna Cruz Cavalcanti, et al. ∙

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