Jean-Emmanuel Deschaud
Jean-Emmanuel Deschaud
Associate Professor in Robotics and 3D Vision, Center for Robotics, Mines ParisTech, PSL University
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Zitiert von
Zitiert von
Kpconv: Flexible and deformable convolution for point clouds
H Thomas, CR Qi, JE Deschaud, B Marcotegui, F Goulette, LJ Guibas
Proceedings of the IEEE/CVF international conference on computer vision …, 2019
IMLS-SLAM: Scan-to-model matching based on 3D data
JE Deschaud
2018 IEEE International Conference on Robotics and Automation (ICRA), 2480-2485, 2018
Paris-Lille-3D: A large and high-quality ground-truth urban point cloud dataset for automatic segmentation and classification
X Roynard, JE Deschaud, F Goulette
The International Journal of Robotics Research 37 (6), 545-557, 2018
A fast and accurate plane detection algorithm for large noisy point clouds using filtered normals and voxel growing
JE Deschaud, F Goulette
3DPVT, 2010
Semantic classification of 3D point clouds with multiscale spherical neighborhoods
H Thomas, F Goulette, JE Deschaud, B Marcotegui, Y LeGall
2018 International conference on 3D vision (3DV), 390-398, 2018
Paris-rue-Madame database: a 3D mobile laser scanner dataset for benchmarking urban detection, segmentation and classification methods
A Serna, B Marcotegui, F Goulette, JE Deschaud
In proceedings of ICPRAM2014: 3rd International Conference on Pattern …, 2014
Ct-icp: Real-time elastic lidar odometry with loop closure
P Dellenbach, JE Deschaud, B Jacquet, F Goulette
2022 International Conference on Robotics and Automation (ICRA), 5580-5586, 2022
Classification of point cloud scenes with multiscale voxel deep network
X Roynard, JE Deschaud, F Goulette
arXiv preprint arXiv:1804.03583, 2018
Point cloud non local denoising using local surface descriptor similarity
JE Deschaud, F Goulette
Int. Conf. on Photogrammetric Computer Vision (PCV), 2010
Invariant EKF design for scan matching-aided localization
M Barczyk, S Bonnabel, JE Deschaud, F Goulette
IEEE Transactions on Control Systems Technology 23 (6), 2440-2448, 2015
KITTI-CARLA: a KITTI-like dataset generated by CARLA Simulator
JE Deschaud
arXiv preprint arXiv:2109.00892, 2021
On power Jaccard losses for semantic segmentation
D Duque-Arias, S Velasco-Forero, JE Deschaud, F Goulette, A Serna, ...
VISAPP 2021: 16th International conference on computer vision theory and …, 2021
3D point cloud registration with multi-scale architecture and unsupervised transfer learning
S Horache, JE Deschaud, F Goulette
2021 International Conference on 3D Vision (3DV), 1351-1361, 2021
Paris-CARLA-3D: A Real and Synthetic Outdoor Point Cloud Dataset for Challenging Tasks in 3D Mapping
JE Deschaud, D Duque, JP Richa, S Velasco-Forero, B Marcotegui, ...
Remote Sensing 13 (22), 4713, 2021
Experimental assessment of the quanergy m8 lidar sensor
MA Mittet, H Nouira, X Roynard, F Goulette, JE Deschaud
ISPRS 2016 congress, 2016
3D Mapping for high-fidelity unmanned ground vehicle lidar simulation
B Browning, JE Deschaud, D Prasser, P Rander
The International Journal of Robotics Research 31 (12), 1349-1376, 2012
SHREC 2020: 3D point cloud semantic segmentation for street scenes
T Ku, RC Veltkamp, B Boom, D Duque-Arias, S Velasco-Forero, ...
Computers & Graphics 93, 13-24, 2020
Fast and robust segmentation and classification for change detection in urban point clouds
X Roynard, JE Deschaud, F Goulette
ISPRS 2016-XXIII ISPRS Congress, 2016
Automatic data driven vegetation modeling for lidar simulation
JE Deschaud, D Prasser, MF Dias, B Browning, P Rander
2012 IEEE International Conference on Robotics and Automation, 5030-5036, 2012
Domain generalization of 3d semantic segmentation in autonomous driving
J Sanchez, JE Deschaud, F Goulette
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023
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