99 citations · 141 across the 5 of their papers we have counts for
5 papers
MILAN: Milli-Annotations for Lidar Semantic Segmentation
Nermin Samet, Gilles Puy, Oriane Siméoni +1
Annotating lidar point clouds for autonomous driving is a notoriously expensive and time-consuming task. In this work, we show that the quality of recent self-supervised lidar scan…
BEVContrast: Self-Supervision in BEV Space for Automotive Lidar Point Clouds
Corentin Sautier, Gilles Puy, Alexandre Boulch +2
We present a surprisingly simple and efficient method for self-supervision of 3D backbone on automotive Lidar point clouds. We design a contrastive loss between features of Lidar s…
NeeDrop: Self-supervised Shape Representation from Sparse Point Clouds using Needle Dropping
Alexandre Boulch, Pierre-Alain Langlois, Gilles Puy +1
There has been recently a growing interest for implicit shape representations. Contrary to explicit representations, they have no resolution limitations and they easily deal with a…
Sparse image reconstruction on the sphere: implications of a new sampling theorem
J. D. McEwen, G. Puy, J. -Ph. Thiran +3
We study the impact of sampling theorems on the fidelity of sparse image reconstruction on the sphere. We discuss how a reduction in the number of samples required to represent all…
Spread spectrum magnetic resonance imaging
Gilles Puy, Jose P. Marques, Rolf Gruetter +4
We propose a novel compressed sensing technique to accelerate the magnetic resonance imaging (MRI) acquisition process. The method, coined spread spectrum MRI or simply s2MRI, cons…