17 citations · 25 across the 6 of their papers we have counts for
6 papers
A Variational Approach for Joint Image Recovery and Feature Extraction Based on Spatially-Varying Generalised Gaussian Models
Emilie Chouzenoux, Marie-Caroline Corbineau, Jean-Christophe Pesquet +1
The joint problem of reconstruction / feature extraction is a challenging task in image processing. It consists in performing, in a joint manner, the restoration of an image and th…
Case-based reasoning for rare events prediction on strategic sites
Vincent Vidal, Marie-Caroline Corbineau, Tugdual Ceillier
Satellite imagery is now widely used in the defense sector for monitoring locations of interest. Although the increasing amount of data enables pattern identification and therefore…
Improving performance of aircraft detection in satellite imagery while limiting the labelling effort: Hybrid active learning
Julie Imbert, Gohar Dashyan, Alex Goupilleau +2
The earth observation industry provides satellite imagery with high spatial resolution and short revisit time. To allow efficient operational employment of these images, automating…
Active learning for object detection in high-resolution satellite images
Alex Goupilleau, Tugdual Ceillier, Marie-Caroline Corbineau
In machine learning, the term active learning regroups techniques that aim at selecting the most useful data to label from a large pool of unlabelled examples. While supervised dee…
Preconditioned P-ULA for Joint Deconvolution-Segmentation of Ultrasound Images -- Extended Version
Corbineau Marie-Caroline, Kouamé Denis, Chouzenoux Emilie +2
Joint deconvolution and segmentation of ultrasound images is a challenging problem in medical imaging. By adopting a hierarchical Bayesian model, we propose an accelerated Markov c…
Deep Unfolding of a Proximal Interior Point Method for Image Restoration
Carla Bertocchi, Emilie Chouzenoux, Marie-Caroline Corbineau +2
Variational methods are widely applied to ill-posed inverse problems for they have the ability to embed prior knowledge about the solution. However, the level of performance of the…