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ORCIDJean-Emmanuel Deschaud
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2020 – today
- 2024
[j9]Jules Sanchez
, Louis Soum-Fontez, Jean-Emmanuel Deschaud, François Goulette:
ParisLuco3D: A High-Quality Target Dataset for Domain Generalization of LiDAR Perception. IEEE Robotics Autom. Lett. 9(6): 5496-5503 (2024)- [i25]Hugo Blanc, Jean-Emmanuel Deschaud, Alexis Paljic:
RayGauss: Volumetric Gaussian-Based Ray Casting for Photorealistic Novel View Synthesis. CoRR abs/2408.03356 (2024) - 2023
- [c22]Jules Sanchez, Jean-Emmanuel Deschaud, François Goulette:
Domain generalization of 3D semantic segmentation in autonomous driving. ICCV 2023: 18031-18041 - [c21]Jules Sanchez, Jean-Emmanuel Deschaud, François Goulette:
COLA: COarse LAbel pre-training for 3D semantic segmentation of sparse LiDAR datasets. ICRA 2023: 11343-11350 - [c20]Louis Soum-Fontez, Jean-Emmanuel Deschaud, François Goulette:
MDT3D: Multi-Dataset Training for LiDAR 3D Object Detection Generalization. IROS 2023: 5765-5772 - [c19]Fabio Elnecave Xavier, Guillaume Burger, Marine Pétriaux, Jean-Emmanuel Deschaud, François Goulette:
Multi-IMU Proprioceptive State Estimator for Humanoid Robots. IROS 2023: 10880-10887 - [c18]Jad Nasreddine, Juan Agusti, Philippe Veyssiere, Paul Caranton, Nuria Trujillo Quijada, Pascal Deliège, Luca Petrucci, Nathan Sanchiz-Viel, Jean-Emmanuel Deschaud, Judit Bastida, José López Luque, Francisco Vázquez Gallego, Manuel Alfageme:
5GMED Seamless Connectivity for Digital Trains. VTC2023-Spring 2023: 1-6 - [i24]Fabio Elnecave Xavier, Guillaume Burger, Marine Pétriaux, Jean-Emmanuel Deschaud, François Goulette:
Multi-IMU Proprioceptive State Estimator for Humanoid Robots. CoRR abs/2307.14125 (2023) - [i23]Louis Soum-Fontez, Jean-Emmanuel Deschaud, François Goulette:
MDT3D: Multi-Dataset Training for LiDAR 3D Object Detection Generalization. CoRR abs/2308.01000 (2023) - [i22]Jules Sanchez, Louis Soum-Fontez, Jean-Emmanuel Deschaud, François Goulette:
ParisLuco3D: A high-quality target dataset for domain generalization of LiDAR perception. CoRR abs/2310.16542 (2023) - [i21]Jules Sanchez, Jean-Emmanuel Deschaud, François Goulette:
COLA: COarse-LAbel multi-source LiDAR semantic segmentation for autonomous driving. CoRR abs/2311.03017 (2023) - 2022
- [j8]Jean Pierre Richa, Jean-Emmanuel Deschaud, François Goulette, Nicolas Dalmasso:
AdaSplats: Adaptive Splatting of Point Clouds for Accurate 3D Modeling and Real-Time High-Fidelity LiDAR Simulation. Remote. Sens. 14(24): 6262 (2022) - [c17]Pierre Dellenbach, Jean-Emmanuel Deschaud, Bastien Jacquet, François Goulette:
CT-ICP: Real-time Elastic LiDAR Odometry with Loop Closure. ICRA 2022: 5580-5586 - [i20]Jules Sanchez, Jean-Emmanuel Deschaud, François Goulette:
COLA: COarse LAbel pre-training for 3D semantic segmentation of sparse LiDAR datasets. CoRR abs/2202.06884 (2022) - [i19]Jean Pierre Richa, Jean-Emmanuel Deschaud, François Goulette, Nicolas Dalmasso:
AdaSplats: Adaptative Splats from Semantic Point Cloud for Fast and High-Fidelity LiDAR Simulation. CoRR abs/2203.09155 (2022) - [i18]Jean Pierre Richa, Jean-Emmanuel Deschaud, François Goulette, Nicolas Dalmasso:
UWED: Unsigned Distance Field for Accurate 3D Scene Representation and Completion. CoRR abs/2203.09167 (2022) - [i17]Jules Sanchez, Jean-Emmanuel Deschaud, François Goulette:
Domain generalization of 3D semantic segmentation in autonomous driving. CoRR abs/2212.04245 (2022) - 2021
- [j7]Jean-Emmanuel Deschaud, David Duque, Jean Pierre Richa, Santiago Velasco-Forero, Beatriz Marcotegui, François Goulette:
Paris-CARLA-3D: A Real and Synthetic Outdoor Point Cloud Dataset for Challenging Tasks in 3D Mapping. Remote. Sens. 13(22): 4713 (2021) - [c16]Sofiane Horache, Jean-Emmanuel Deschaud, François Goulette:
3D Point Cloud Registration with Multi-Scale Architecture and Unsupervised Transfer Learning. 3DV 2021: 1351-1361 - [c15]Pierre Dellenbach, Jean-Emmanuel Deschaud, Bastien Jacquet, François Goulette:
What's in My LiDAR Odometry Toolbox? IROS 2021: 4429-4436 - [c14]Sofiane Horache, Jean-Emmanuel Deschaud, François Goulette, Katherine Gruel, Thierry Lejars, Olivier Masson:
Riedones3D: a Celtic Coin Dataset for Registration and Fine-grained Clustering. GCH 2021: 83-92 - [c13]David Duque-Arias, Santiago Velasco-Forero, Jean-Emmanuel Deschaud, François Goulette, Andrés Serna, Etienne Decencière, Beatriz Marcotegui:
On Power Jaccard Losses for Semantic Segmentation. VISIGRAPP (5: VISAPP) 2021: 561-568 - [i16]Pierre Dellenbach, Jean-Emmanuel Deschaud, Bastien Jacquet, François Goulette:
What s in My LiDAR Odometry Toolbox? CoRR abs/2103.09708 (2021) - [i15]Sofiane Horache, Jean-Emmanuel Deschaud, François Goulette:
3D Point Cloud Registration with Multi-Scale Architecture and Self-supervised Fine-tuning. CoRR abs/2103.14533 (2021) - [i14]Jean-Emmanuel Deschaud:
KITTI-CARLA: a KITTI-like dataset generated by CARLA Simulator. CoRR abs/2109.00892 (2021) - [i13]Pierre Dellenbach, Jean-Emmanuel Deschaud, Bastien Jacquet, François Goulette:
CT-ICP: Real-time Elastic LiDAR Odometry with Loop Closure. CoRR abs/2109.12979 (2021) - [i12]Sofiane Horache, Jean-Emmanuel Deschaud, François Goulette, Katherine Gruel, Thierry Lejars, Olivier Masson:
Riedones3D: a celtic coin dataset for registration and fine-grained clustering. CoRR abs/2109.15033 (2021) - [i11]Jean-Emmanuel Deschaud, David Duque, Jean Pierre Richa, Santiago Velasco-Forero, Beatriz Marcotegui, François Goulette:
Paris-CARLA-3D: A Real and Synthetic Outdoor Point Cloud Dataset for Challenging Tasks in 3D Mapping. CoRR abs/2111.11348 (2021) - 2020
- [b2]Jean-Emmanuel Deschaud:
Nuage de Points et Modélisation 3D. Sorbonne University, Paris, France, 2020 - [j6]Tao Ku, Remco C. Veltkamp, Bas Boom, David Duque-Arias, Santiago Velasco-Forero, Jean-Emmanuel Deschaud, François Goulette, Beatriz Marcotegui, Sebastián Ortega, Agustín Trujillo, José Pablo Suárez, José Miguel Santana, Cristián Ramírez, Kiran Akadas, Shankar Gangisetty:
SHREC 2020: 3D point cloud semantic segmentation for street scenes. Comput. Graph. 93: 13-24 (2020) - [j5]Hassan Bouchiba, Simon Santoso, Jean-Emmanuel Deschaud, Luisa Rocha-Da-Silva, François Goulette, Thierry Coupez:
Computational fluid dynamics on 3D point set surfaces. J. Comput. Phys. X 7: 100069 (2020) - [i10]Sofiane Horache, Jean-Emmanuel Deschaud, François Goulette, Katherine Gruel, Thierry Lejars:
Automatic clustering of Celtic coins based on 3D point cloud pattern analysis. CoRR abs/2005.05705 (2020)
2010 – 2019
- 2019
- [c12]Hugues Thomas, Charles R. Qi, Jean-Emmanuel Deschaud, Beatriz Marcotegui, François Goulette, Leonidas J. Guibas:
KPConv: Flexible and Deformable Convolution for Point Clouds. ICCV 2019: 6410-6419 - [c11]David Duque-Arias, Santiago Velasco-Forero, Jean-Emmanuel Deschaud, François Goulette, Beatriz Marcotegui:
A Graph-Based Color Lines Model for Image Analysis. ICIAP (2) 2019: 181-191 - [i9]Hassan Bouchiba, Simon Santoso, Jean-Emmanuel Deschaud, Luisa Rocha-Da-Silva, François Goulette, Thierry Coupez:
Computational Fluid Dynamics on 3D Point Set Surfaces. CoRR abs/1901.04944 (2019) - [i8]Hugues Thomas, Charles R. Qi, Jean-Emmanuel Deschaud, Beatriz Marcotegui, François Goulette, Leonidas J. Guibas:
KPConv: Flexible and Deformable Convolution for Point Clouds. CoRR abs/1904.08889 (2019) - 2018
- [j4]Xavier Roynard, Jean-Emmanuel Deschaud, François Goulette:
Paris-Lille-3D: A large and high-quality ground-truth urban point cloud dataset for automatic segmentation and classification. Int. J. Robotics Res. 37(6): 545-557 (2018) - [c10]Hugues Thomas, François Goulette, Jean-Emmanuel Deschaud, Beatriz Marcotegui:
Semantic Classification of 3D Point Clouds with Multiscale Spherical Neighborhoods. 3DV 2018: 390-398 - [c9]Xavier Roynard, Jean-Emmanuel Deschaud, François Goulette:
Paris-Lille-3D: A Point Cloud Dataset for Urban Scene Segmentation and Classification. CVPR Workshops 2018: 2027-2030 - [c8]Hassan Bouchiba, Jean-Emmanuel Deschaud, François Goulette:
Raw Point Cloud Deferred Shading Through Screen Space Pyramidal Operators. Eurographics (Short Papers) 2018: 25-28 - [c7]Jean-Emmanuel Deschaud:
IMLS-SLAM: Scan-to-Model Matching Based on 3D Data. ICRA 2018: 2480-2485 - [i7]Jean-Emmanuel Deschaud:
IMLS-SLAM: scan-to-model matching based on 3D data. CoRR abs/1802.08633 (2018) - [i6]Xavier Roynard, Jean-Emmanuel Deschaud, François Goulette:
Classification of Point Cloud Scenes with Multiscale Voxel Deep Network. CoRR abs/1804.03583 (2018) - [i5]Hugues Thomas, Jean-Emmanuel Deschaud, Beatriz Marcotegui, François Goulette, Yann Le Gall:
Semantic Classification of 3D Point Clouds with Multiscale Spherical Neighborhoods. CoRR abs/1808.00495 (2018) - 2017
- [j3]Daniela Craciun, Jean-Emmanuel Deschaud, François Goulette:
Automatic Ground Surface Reconstruction from mobile laser systems for driving simulation engines. Simul. 93(3): 201-211 (2017) - [c6]Hassan Bouchiba, Raphaël Groscot, Jean-Emmanuel Deschaud, François Goulette:
High Quality and Efficient Direct Rendering of Massive Real-world Point Clouds. Eurographics (Posters) 2017: 1-2 - [i4]Xavier Roynard, Jean-Emmanuel Deschaud, François Goulette:
Paris-Lille-3D: a large and high-quality ground truth urban point cloud dataset for automatic segmentation and classification. CoRR abs/1712.00032 (2017) - 2015
- [j2]Martin Barczyk, Silvère Bonnabel, Jean-Emmanuel Deschaud, François Goulette:
Invariant EKF Design for Scan Matching-Aided Localization. IEEE Trans. Control. Syst. Technol. 23(6): 2440-2448 (2015) - [i3]Martin Barczyk, Silvère Bonnabel, Jean-Emmanuel Deschaud, François Goulette:
Invariant EKF Design for Scan Matching-aided Localization. CoRR abs/1503.01407 (2015) - 2014
- [c5]Martin Barczyk, Silvère Bonnabel, Jean-Emmanuel Deschaud, François Goulette:
Experimental implementation of an Invariant Extended Kalman Filter-based scan matching SLAM. ACC 2014: 4121-4126 - [c4]Andrés Serna, Beatriz Marcotegui, François Goulette, Jean-Emmanuel Deschaud:
Paris-rue-Madame Database - A 3D Mobile Laser Scanner Dataset for Benchmarking Urban Detection, Segmentation and Classification Methods. ICPRAM 2014: 819-824 - [i2]Martin Barczyk, Silvère Bonnabel, Jean-Emmanuel Deschaud, François Goulette:
Experimental Implementation of an Invariant Extended Kalman Filter-based Scan Matching SLAM. CoRR abs/1403.5195 (2014) - [i1]Jean-Emmanuel Deschaud, Xavier Brun, François Goulette:
Colorisation et texturation temps réel d'environnements urbains par système mobile avec scanner laser et caméra fish-eye. CoRR abs/1412.1219 (2014) - 2012
- [j1]Brett Browning, Jean-Emmanuel Deschaud, David Prasser, Peter Rander:
3D Mapping for high-fidelity unmanned ground vehicle lidar simulation. Int. J. Robotics Res. 31(12): 1349-1376 (2012) - [c3]Jean-Philippe Tarel, Pierre Charbonnier, François Goulette, Jean-Emmanuel Deschaud:
3D Road Environment Modeling Applied to Visibility Mapping: An Experimental Comparison. DS-RT 2012: 19-26 - [c2]Jean-Emmanuel Deschaud, David Prasser, M. Freddie Dias, Brett Browning, Peter Rander:
Automatic data driven vegetation modeling for lidar simulation. ICRA 2012: 5030-5036 - 2011
- [c1]Silvère Bonnabel, Jean-Emmanuel Deschaud, Erwan Salaün:
A simple nonlinear filter for low-cost ground vehicle localization system. CDC/ECC 2011: 3270-3275 - 2010
- [b1]Jean-Emmanuel Deschaud:
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). Mines ParisTech, France, 2010
Coauthor Index
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last updated on 2024-09-14 02:05 CEST by the dblp team
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