research
∙
12/21/2022
A recurrent CNN for online object detection on raw radar frames
Automotive radar sensors provide valuable information for advanced drivi...
share
research
∙
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 ...
research
∙
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...
research
∙
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...
research
∙
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...
research
∙
10/20/2020
Phase recovery with Bregman divergences for audio source separation
Time-frequency audio source separation is usually achieved by estimating...
research
∙
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...
research
∙
06/01/2020
Ordinal Non-negative Matrix Factorization for Recommendation
We introduce a new non-negative matrix factorization (NMF) method for or...
research
∙
02/04/2020
Fast reconstruction of atomic-scale STEM-EELS images from sparse sampling
This paper discusses the reconstruction of partially sampled spectrum-im...
research
∙
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...
research
∙
05/20/2019
Recommendation from Raw Data with Adaptive Compound Poisson Factorization
Count data are often used in recommender systems: they are widespread (s...
research
∙
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...
research
∙
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 ...
research
∙
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...
research
∙
01/05/2018
Negative Binomial Matrix Factorization for Recommender Systems
We introduce negative binomial matrix factorization (NBMF), a matrix fac...
research
∙
07/19/2017