2 citations · 3 across the 3 of their papers we have counts for
3 papers
Fast, accurate, and predictive method for atom detection in site-resolved images of microtrap arrays
Marc Cheneau, Romaric Journet, Matthieu Boffety +3
We introduce a new method, rooted in estimation theory, to detect individual atoms in site-resolved images of microtrap arrays, such as optical lattices or optical tweezers arrays.…
Pix2Point: Learning Outdoor 3D Using Sparse Point Clouds and Optimal Transport
Rémy Leroy, Pauline Trouvé-Peloux, Frédéric Champagnat +2
Good quality reconstruction and comprehension of a scene rely on 3D estimation methods. The 3D information was usually obtained from images by stereo-photogrammetry, but deep learn…
Technical Report: Co-learning of geometry and semantics for online 3D mapping
Marcela Carvalho, Maxime Ferrera, Alexandre Boulch +3
This paper is a technical report about our submission for the ECCV 2018 3DRMS Workshop Challenge on Semantic 3D Reconstruction \cite{Tylecek2018rms}. In this paper, we address 3D s…