We propose an efficient estimation technique for the automatic selection of locally-adaptive Total Variation regularisation parameters based on an hybrid strategy which combines a local maximum-likelihood approach estimating space-variant image scales with a global discrepancy principle related to noise statistics. We verify the effectiveness of th...
We propose the use of Flat Metric to assess the performance of reconstruction methods for single-molecule localization microscopy (SMLM) in scenarios where the ground-truth is available. Flat Metric is intimately related to the concept of optimal transport between measures of different mass, providing solid mathematical foundations for SMLM evaluat...
In this study, we compare the different spectral centering methods (referred to as deramping) for the Sentinel-1 images acquired with the TOPSAR method, in the context of interferometry. The deramping is a necessary step prior to image interpolation. We show the analogy between two different approaches in the literature and propose our own improvem...
Deep Learning has become a very promising avenue for magnetic resonance image (MRI) reconstruction. In this work, we explore the potential of unrolled networks for the non-Cartesian acquisition setting. We design the NC-PDNet, the first density-compensated unrolled network and validate the need for its key components via an ablation study. Moreover...
This letter presents a perception-aware and motorlevel non-linear model predictive control scheme for multi-rotor aerial vehicles. Our formulation considers both real actuation limitations of the platform, and realistic perception objectives for the visibility coverage of an environmental feature while performing a reference task. It directly produ...
Published in Medical image analysis
Segmentation of abdominal organs has been a comprehensive, yet unresolved, research field for many years. In the last decade, intensive developments in deep learning (DL) introduced new state-of-the-art segmentation systems. Despite outperforming the overall accuracy of existing systems, the effects of DL model properties and parameters on the perf...
International audience
The increasing popularity of face recognition software introduces new forms to interact with digital face representations. This article explores some of the forms that have emerged in the field of automatic face recognition including face detection, face identification, or face classification. The visual representations generated in technical and s...
The lecture note presents the last advances in the use of remote sensing for urban planning.
International audience
