Jean-Emmanuel DESCHAUD

Associate Professor

Mines ParisTech

France

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About

Jean-Emmanuel Deschaud is an Associate Professor at Mines ParisTech in France. His research areas focus on advanced techniques for LiDAR perception, including semantic segmentation and point cloud modeling. He has contributed to notable articles such as "COLA: COarse-LAbel Multisource LiDAR Semantic Segmentation for Autonomous Driving" and "ParisLuco3D: A High-Quality Target Dataset for Domain Generalization of LiDAR Perception." His work aims to enhance 3D mapping and real-time simulations in autonomous driving applications.

Articles (6)

Year:

2025

Year:

2024

Year:

2022

Year:

2021

Year:

2020

Year:

2020

Collaborators (2)

Beatriz Marcotegui

PSL Research University

FRANCE

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François GOULETTE

Professor

MINES Paris - PSL

FRANCE

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Jean-Emmanuel DESCHAUD

Research Interests

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Articles (6)

COLA: COarse-LAbel Multisource LiDAR Semantic Segmentation for Autonomous Driving

ParisLuco3D: A High-Quality Target Dataset for Domain Generalization of LiDAR Perception

AdaSplats: Adaptive Splatting of Point Clouds for Accurate 3D Modeling and Real-Time High-Fidelity LiDAR Simulation

Paris-CARLA-3D: A Real and Synthetic Outdoor Point Cloud Dataset for Challenging Tasks in 3D Mapping

Computational fluid dynamics on 3D point set surfaces

SHREC 2020: 3D point cloud semantic segmentation for street scenes

Collaborators (2)

Beatriz Marcotegui

François GOULETTE

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