1 citations · 1 across the 5 of their papers we have counts for
6 papers
ScaGNN: a Graph Neural Network for Multiple Scattering Simulations
Rémi Marsal, Stéphanie Chaillat, Alexandre Chapoutot
The boundary element method (BEM) provides an efficient numerical framework for solving multiple scattering problems in unbounded homogeneous domains. By restricting the discretiza…
Multimodal embodiment-aware navigation transformer
Louis Dezons, Quentin Picard, Rémi Marsal +2
Goal-conditioned navigation models for ground robots trained using supervised learning show promising zero-shot transfer, but their collision-avoidance capability nevertheless degr…
An Open-Source LiDAR and Monocular Off-Road Autonomous Navigation Stack
Rémi Marsal, Quentin Picard, Adrien Poiré +5
Off-road autonomous navigation demands reliable 3D perception for robust obstacle detection in challenging unstructured terrain. While LiDAR is accurate, it is costly and power-int…
PIBNet: a Physics-Inspired Boundary Network for Multiple Scattering Simulations
Rémi Marsal, Stéphanie Chaillat
The boundary element method (BEM) provides an efficient numerical framework for solving multiple scattering problems in unbounded homogeneous domains, since it reduces the discreti…
A Simple yet Effective Test-Time Adaptation for Zero-Shot Monocular Metric Depth Estimation
Rémi Marsal, Alexandre Chapoutot, Philippe Xu +1
The recent development of \emph{foundation models} for monocular depth estimation such as Depth Anything paved the way to zero-shot monocular depth estimation. Since it returns an…
MonoProb: Self-Supervised Monocular Depth Estimation with Interpretable Uncertainty
Rémi Marsal, Florian Chabot, Angelique Loesch +2
Self-supervised monocular depth estimation methods aim to be used in critical applications such as autonomous vehicles for environment analysis. To circumvent the potential imperfe…