Jean-Emmanuel Deschaud

Orcid: 0000-0002-6696-9354

According to our database1, Jean-Emmanuel Deschaud authored at least 45 papers between 2010 and 2024.

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Bibliography

2024
ParisLuco3D: A High-Quality Target Dataset for Domain Generalization of LiDAR Perception.
IEEE Robotics Autom. Lett., June, 2024

Open-Set 3D object detection in LiDAR data as an Out-of-Distribution problem.
CoRR, 2024

Are We Ready for Real-Time LiDAR Semantic Segmentation in Autonomous Driving?
CoRR, 2024

RayGauss: Volumetric Gaussian-Based Ray Casting for Photorealistic Novel View Synthesis.
CoRR, 2024

2023
COLA: COarse-LAbel multi-source LiDAR semantic segmentation for autonomous driving.
CoRR, 2023


Multi-IMU Proprioceptive State Estimator for Humanoid Robots.
IROS, 2023

MDT3D: Multi-Dataset Training for LiDAR 3D Object Detection Generalization.
IROS, 2023

COLA: COarse LAbel pre-training for 3D semantic segmentation of sparse LiDAR datasets.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Domain generalization of 3D semantic segmentation in autonomous driving.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022
AdaSplats: Adaptive Splatting of Point Clouds for Accurate 3D Modeling and Real-Time High-Fidelity LiDAR Simulation.
Remote. Sens., December, 2022

UWED: Unsigned Distance Field for Accurate 3D Scene Representation and Completion.
CoRR, 2022

AdaSplats: Adaptative Splats from Semantic Point Cloud for Fast and High-Fidelity LiDAR Simulation.
CoRR, 2022

CT-ICP: Real-time Elastic LiDAR Odometry with Loop Closure.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022

2021
Paris-CARLA-3D: A Real and Synthetic Outdoor Point Cloud Dataset for Challenging Tasks in 3D Mapping.
Remote. Sens., 2021

KITTI-CARLA: a KITTI-like dataset generated by CARLA Simulator.
CoRR, 2021

3D Point Cloud Registration with Multi-Scale Architecture and Self-supervised Fine-tuning.
CoRR, 2021

On Power Jaccard Losses for Semantic Segmentation.
Proceedings of the 16th International Joint Conference on Computer Vision, 2021

Riedones3D: a Celtic Coin Dataset for Registration and Fine-grained Clustering.
Proceedings of the GCH 2021, 2021

What's in My LiDAR Odometry Toolbox?
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

3D Point Cloud Registration with Multi-Scale Architecture and Unsupervised Transfer Learning.
Proceedings of the International Conference on 3D Vision, 2021

2020
Computational fluid dynamics on 3D point set surfaces.
J. Comput. Phys. X, 2020

Automatic clustering of Celtic coins based on 3D point cloud pattern analysis.
CoRR, 2020

SHREC 2020: 3D point cloud semantic segmentation for street scenes.
Comput. Graph., 2020

Nuage de Points et Modélisation 3D.
, 2020

2019
A Graph-Based Color Lines Model for Image Analysis.
Proceedings of the Image Analysis and Processing - ICIAP 2019, 2019

KPConv: Flexible and Deformable Convolution for Point Clouds.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2018
Paris-Lille-3D: A large and high-quality ground-truth urban point cloud dataset for automatic segmentation and classification.
Int. J. Robotics Res., 2018

Semantic Classification of 3D Point Clouds with Multiscale Spherical Neighborhoods.
CoRR, 2018

Classification of Point Cloud Scenes with Multiscale Voxel Deep Network.
CoRR, 2018

IMLS-SLAM: Scan-to-Model Matching Based on 3D Data.
Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

Raw Point Cloud Deferred Shading Through Screen Space Pyramidal Operators.
Proceedings of the 39th Annual Conference of the European Association for Computer Graphics, 2018

Paris-Lille-3D: A Point Cloud Dataset for Urban Scene Segmentation and Classification.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2018

Semantic Classification of 3D Point Clouds with Multiscale Spherical Neighborhoods.
Proceedings of the 2018 International Conference on 3D Vision, 2018

2017
Automatic Ground Surface Reconstruction from mobile laser systems for driving simulation engines.
Simul., 2017

High Quality and Efficient Direct Rendering of Massive Real-world Point Clouds.
Proceedings of the 38th Annual Conference of the European Association for Computer Graphics, 2017

2015
Invariant EKF Design for Scan Matching-Aided Localization.
IEEE Trans. Control. Syst. Technol., 2015

2014
Colorisation et texturation temps réel d'environnements urbains par système mobile avec scanner laser et caméra fish-eye.
CoRR, 2014

Paris-rue-Madame Database - A 3D Mobile Laser Scanner Dataset for Benchmarking Urban Detection, Segmentation and Classification Methods.
Proceedings of the ICPRAM 2014, 2014

Experimental implementation of an Invariant Extended Kalman Filter-based scan matching SLAM.
Proceedings of the American Control Conference, 2014

2012
3D Mapping for high-fidelity unmanned ground vehicle lidar simulation.
Int. J. Robotics Res., 2012

Automatic data driven vegetation modeling for lidar simulation.
Proceedings of the IEEE International Conference on Robotics and Automation, 2012

3D Road Environment Modeling Applied to Visibility Mapping: An Experimental Comparison.
Proceedings of the 16th IEEE/ACM International Symposium on Distributed Simulation and Real Time Applications, 2012

2011
A simple nonlinear filter for low-cost ground vehicle localization system.
Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, 2011

2010
Traitements de nuages de points denses et modélisation 3D d'environnements par système mobile LiDAR/Caméra. (Dense point cloud processing and 3D environment modeling from LiDAR/Camera mobile system).
PhD thesis, 2010


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