Search Results for author: Frédéric Champagnat

Found 3 papers, 2 papers with code

Pix2Point: Learning Outdoor 3D Using Sparse Point Clouds and Optimal Transport

no code implementations30 Jul 2021 Rémy Leroy, Pauline Trouvé-Peloux, Frédéric Champagnat, Bertrand Le Saux, Marcela Carvalho

The 3D information was usually obtained from images by stereo-photogrammetry, but deep learning has recently provided us with excellent results for monocular depth estimation.

Monocular Depth Estimation

Multi-Task Learning of Height and Semantics from Aerial Images

1 code implementation18 Nov 2019 Marcela Carvalho, Bertrand Le Saux, Pauline Trouvé-Peloux, Frédéric Champagnat, Andrés Almansa

Aerial or satellite imagery is a great source for land surface analysis, which might yield land use maps or elevation models.

Multi-Task Learning

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