Jules Sanchez

According to our database, Jules Sanchez authored at least 6 papers between 2021 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

COLA: COarse-LAbel multi-source LiDAR semantic segmentation for autonomous driving.

Jules Sanchez, Jean-Emmanuel Deschaud, François Goulette

CoRR, 2023

ParisLuco3D: A high-quality target dataset for domain generalization of LiDAR perception.

Jules Sanchez, Louis Soum-Fontez, Jean-Emmanuel Deschaud, François Goulette

CoRR, 2023

COLA: COarse LAbel pre-training for 3D semantic segmentation of sparse LiDAR datasets.

Jules Sanchez, Jean-Emmanuel Deschaud, François Goulette

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Domain generalization of 3D semantic segmentation in autonomous driving.

Jules Sanchez, Jean-Emmanuel Deschaud, François Goulette

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

EXplainable Neural-Symbolic Learning (<i>X-NeSyL</i>) methodology to fuse deep learning representations with expert knowledge graphs: The MonuMAI cultural heritage use case.

Natalia Díaz Rodríguez, Alberto Lamas, Jules Sanchez, Gianni Franchi, Ivan Donadello, Siham Tabik, David Filliat, Policarpo Cruz, Rosana Montes, Francisco Herrera

Inf. Fusion, 2022

2021

EXplainable Neural-Symbolic Learning (X-NeSyL) methodology to fuse deep learning representations with expert knowledge graphs: the MonuMAI cultural heritage use case.

Natalia Díaz Rodríguez, Alberto Lamas, Jules Sanchez, Gianni Franchi, Ivan Donadello, Siham Tabik, David Filliat, Policarpo Cruz, Rosana Montes, Francisco Herrera

CoRR, 2021