65 citations · 65 across the 2 of their papers we have counts for
4 papers
Closing the loop on-sky with a vector-Zernike wavefront sensor using a convolutional neural network as phase reconstructor
Francisco Oyarzún, Mathieu Motte, Cedric-Taissir Heritier +11
Context: The new giant segmented mirror telescopes will use adaptive optics to reach the fundamental limits in resolving power. To accomplish this, new wavefront sensors (WFS) have…
Co-design approach to aperture masking for imaging through atmospheric turbulence
Olivier Herscovici-Schiller, Laurent M. Mugnier, Alice Fontbonne +5
Aperture masking interferometry is a technique originally designed to alleviate the influence of atmospheric turbulence on images recorded on ground-based telescopes. In this commu…
Multi-Task Learning of Height and Semantics from Aerial Images
Marcela Carvalho, Bertrand Le Saux, Pauline Trouvé-Peloux +2
Aerial or satellite imagery is a great source for land surface analysis, which might yield land use maps or elevation models. In this investigation, we present a neural network fra…
Deep Depth from Defocus: how can defocus blur improve 3D estimation using dense neural networks?
Marcela Carvalho, Bertrand Le Saux, Pauline Trouvé-Peloux +2
Depth estimation is of critical interest for scene understanding and accurate 3D reconstruction. Most recent approaches in depth estimation with deep learning exploit geometrical s…