activity
20172023
most citedBreaking the Limits of Message Passing Graph Neural Networks

28 citations · 65 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2023★ 17 cited

MOISST: Multimodal Optimization of Implicit Scene for SpatioTemporal calibration

Quentin Herau, Nathan Piasco, Moussab Bennehar +5

With the recent advances in autonomous driving and the decreasing cost of LiDARs, the use of multimodal sensor systems is on the rise. However, in order to make use of the informat…

cs.CV2022★ 4 cited

SynWoodScape: Synthetic Surround-view Fisheye Camera Dataset for Autonomous Driving

Ahmed Rida Sekkat, Yohan Dupuis, Varun Ravi Kumar +4

Surround-view cameras are a primary sensor for automated driving, used for near-field perception. It is one of the most commonly used sensors in commercial vehicles primarily used…

cs.CV2022

N-QGN: Navigation Map from a Monocular Camera using Quadtree Generating Networks

Daniel Braun, Olivier Morel, Pascal Vasseur +1

Monocular depth estimation has been a popular area of research for several years, especially since self-supervised networks have shown increasingly good results in bridging the gap…

cs.LG2021★ 28 cited

Breaking the Limits of Message Passing Graph Neural Networks

Muhammet Balcilar, Pierre Héroux, Benoit Gaüzère +3

Since the Message Passing (Graph) Neural Networks (MPNNs) have a linear complexity with respect to the number of nodes when applied to sparse graphs, they have been widely implemen…

cs.RO2017★ 16 cited

LiDAR point clouds correction acquired from a moving car based on CAN-bus data

Pierre Merriaux, Yohan Dupuis, Rémi Boutteau +2

In this paper, we investigate the impact of different kind of car trajectories on LiDAR scans. In fact, LiDAR scanning speeds are considerably slower than car speeds introducing di…