activity
20142023
most citedLOFAR Sparse Image Reconstruction

109 citations · 168 across the 7 of their papers we have counts for

collaborators

7 papers

astro-ph.IM2023★ 6 cited

Deep learning-based deconvolution for interferometric radio transient reconstruction

Benjamin Naoto Chiche, Julien N. Girard, Joana Frontera-Pons +2

Radio astronomy is currently thriving with new large ground-based radio telescopes coming online in preparation for the upcoming Square Kilometre Array (SKA). Facilities like LOFAR…

cs.CV2023★ 23 cited

Deep-NFA: a Deep Framework for Small Object Detection

Alina Ciocarlan, Sylvie Le Hegarat-Mascle, Sidonie Lefebvre +1

The detection of small objects is a challenging task in computer vision. Conventional object detection methods have difficulty in finding the balance between high detection and low…

cs.CV2021★ 1 cited

Stable Long-Term Recurrent Video Super-Resolution

Benjamin Naoto Chiche, Arnaud Woiselle, Joana Frontera-Pons +1

Recurrent models have gained popularity in deep learning (DL) based video super-resolution (VSR), due to their increased computational efficiency, temporal receptive field and temp…

eess.IV2021★ 2 cited

Deep Unrolled Network for Video Super-Resolution

Benjamin Naoto Chiche, Arnaud Woiselle, Joana Frontera-Pons +1

Video super-resolution (VSR) aims to reconstruct a sequence of high-resolution (HR) images from their corresponding low-resolution (LR) versions. Traditionally, solving a VSR probl…

cs.DC2018

A Distributed Learning Architecture for Scientific Imaging Problems

A. Panousopoulou, S. Farrens, K. Fotiadou +4

Current trends in scientific imaging are challenged by the emerging need of integrating sophisticated machine learning with Big Data analytics platforms. This work proposes an in-m…

astro-ph.IM2015★ 27 cited

Sparse representations and convex optimization as tools for LOFAR radio interferometric imaging

Julien N. Girard, Hugh Garsden, Jean Luc Starck +5

Compressed sensing theory is slowly making its way to solve more and more astronomical inverse problems. We address here the application of sparse representations, convex optimizat…

astro-ph.IM2014★ 109 cited

LOFAR Sparse Image Reconstruction

H. Garsden, J. N. Girard, J. L. Starck +77

Context. The LOw Frequency ARray (LOFAR) radio telescope is a giant digital phased array interferometer with multiple antennas distributed in Europe. It provides discrete sets of F…