208 citations · 1.7k across the 69 of their papers we have counts for
3 papers · 1 filter
Unrolled Variational Bayesian Algorithm for Image Blind Deconvolution
Yunshi Huang, Emilie Chouzenoux, Jean-Christophe Pesquet
In this paper, we introduce a variational Bayesian algorithm (VBA) for image blind deconvolution. Our generic framework incorporates smoothness priors on the unknown blur/image and…
Inversion of Integral Models: a Neural Network Approach
Emilie Chouzenoux, Cecile Della Valle, Jean-Christophe Pesquet
We introduce a neural network architecture to solve inverse problems linked to a one-dimensional integral operator. This architecture is built by unfolding a forward-backward algor…
Deep Transform and Metric Learning Networks
Wen Tang, Emilie Chouzenoux, Jean-Christophe Pesquet +1
Based on its great successes in inference and denosing tasks, Dictionary Learning (DL) and its related sparse optimization formulations have garnered a lot of research interest. Wh…