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ORCIDFrançois Goulette
Person information
- affiliation: MINES ParisTech, France
- affiliation: ENSTA Paris, France
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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)- [i26]Louis Soum-Fontez, Jean-Emmanuel Deschaud, François Goulette:
Open-Set 3D object detection in LiDAR data as an Out-of-Distribution problem. CoRR abs/2410.23767 (2024) - 2023
- [c28]Jules Sanchez, Jean-Emmanuel Deschaud, François Goulette:
Domain generalization of 3D semantic segmentation in autonomous driving. ICCV 2023: 18031-18041 - [c27]Jules Sanchez, Jean-Emmanuel Deschaud, François Goulette:
COLA: COarse LAbel pre-training for 3D semantic segmentation of sparse LiDAR datasets. ICRA 2023: 11343-11350 - [c26]Louis Soum-Fontez, Jean-Emmanuel Deschaud, François Goulette:
MDT3D: Multi-Dataset Training for LiDAR 3D Object Detection Generalization. IROS 2023: 5765-5772 - [c25]Fabio Elnecave Xavier, Guillaume Burger, Marine Pétriaux, Jean-Emmanuel Deschaud, François Goulette:
Multi-IMU Proprioceptive State Estimator for Humanoid Robots. IROS 2023: 10880-10887 - [i25]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) - [i24]Louis Soum-Fontez, Jean-Emmanuel Deschaud, François Goulette:
MDT3D: Multi-Dataset Training for LiDAR 3D Object Detection Generalization. CoRR abs/2308.01000 (2023) - [i23]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) - [i22]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) - [c24]Pierre Dellenbach, Jean-Emmanuel Deschaud, Bastien Jacquet, François Goulette:
CT-ICP: Real-time Elastic LiDAR Odometry with Loop Closure. ICRA 2022: 5580-5586 - [i21]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) - [i20]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) - [i19]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) - [i18]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) - [c23]Sofiane Horache, Jean-Emmanuel Deschaud, François Goulette:
3D Point Cloud Registration with Multi-Scale Architecture and Unsupervised Transfer Learning. 3DV 2021: 1351-1361 - [c22]Pierre Dellenbach, Jean-Emmanuel Deschaud, Bastien Jacquet, François Goulette:
What's in My LiDAR Odometry Toolbox? IROS 2021: 4429-4436 - [c21]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 - [c20]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 - [i17]Pierre Dellenbach, Jean-Emmanuel Deschaud, Bastien Jacquet, François Goulette:
What s in My LiDAR Odometry Toolbox? CoRR abs/2103.09708 (2021) - [i16]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) - [i15]Pierre Dellenbach, Jean-Emmanuel Deschaud, Bastien Jacquet, François Goulette:
CT-ICP: Real-time Elastic LiDAR Odometry with Loop Closure. CoRR abs/2109.12979 (2021) - [i14]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) - [i13]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
- [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) - [i12]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
- [c19]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 - [c18]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 - [i11]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) - [i10]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) - [c17]Hugues Thomas, François Goulette, Jean-Emmanuel Deschaud, Beatriz Marcotegui:
Semantic Classification of 3D Point Clouds with Multiscale Spherical Neighborhoods. 3DV 2018: 390-398 - [c16]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 - [c15]Hassan Bouchiba, Jean-Emmanuel Deschaud, François Goulette:
Raw Point Cloud Deferred Shading Through Screen Space Pyramidal Operators. Eurographics (Short Papers) 2018: 25-28 - [i9]Xavier Roynard, Jean-Emmanuel Deschaud, François Goulette:
Classification of Point Cloud Scenes with Multiscale Voxel Deep Network. CoRR abs/1804.03583 (2018) - [i8]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) - [c14]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 - [i7]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) - 2016
- [c13]Silvère Bonnabel, Martin Barczyk, François Goulette:
On the covariance of ICP-based scan-matching techniques. ACC 2016: 5498-5503 - [c12]Zhuo-Wei Chen, François Goulette:
Fast computation of soft tissue deformations for real-time medical training simulators: the HEML method and open-source software. VRIC 2016: 1 - [i6]Pierre Charbonnier, Jean-Philippe Tarel, François Goulette:
On the Diagnostic of Road Pathway Visibility. CoRR abs/1601.05535 (2016) - 2015
- [j2]Martyna Poreba, François Goulette:
A Robust Linear Feature-Based Procedure for Automated Registration of Point Clouds. Sensors 15(1): 1435-1457 (2015) - [j1]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) - [i5]Martin Barczyk, Silvère Bonnabel, Jean-Emmanuel Deschaud, François Goulette:
Invariant EKF Design for Scan Matching-aided Localization. CoRR abs/1503.01407 (2015) - 2014
- [c11]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 - [c10]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 - [i4]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) - [i3]Martin Barczyk, Silvère Bonnabel, François Goulette:
Observability, Covariance and Uncertainty of ICP Scan Matching. CoRR abs/1410.7632 (2014) - [i2]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
- [c9]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 - [c8]Thibault Hervier, Silvère Bonnabel, François Goulette:
Accurate 3D maps from depth images and motion sensors via nonlinear Kalman filtering. IROS 2012: 5291-5297 - [i1]Thibault Hervier, Silvère Bonnabel, François Goulette:
Accurate 3D maps from depth images and motion sensors via nonlinear Kalman filtering. CoRR abs/1205.3727 (2012) - 2010
- [c7]Taha Ridene, François Goulette:
Feature-based quality evaluation of 3D heterogeneous data registration. Three-Dimensional Image Processing (3DIP) and Applications 2010: 75260Z
2000 – 2009
- 2009
- [c6]Taha Ridene, François Goulette:
Registration of fixed-and-mobile- based terrestrial Laser data sets with DSM. CIRA 2009: 375-380 - 2007
- [c5]Xavier Brun, François Goulette:
Modeling and Calibration of Coupled Fish-Eye CCD Camera and Laser Range Scanner for Outdoor Environment Reconstruction. 3DIM 2007: 320-327 - 2004
- [c4]Iyad Abuhadrous, Samer Ammoun, Fawzi Nashashibi, François Goulette, Claude Laurgeau:
Digitizing and 3D modeling of urban environments and roads using vehicle-borne laser scanner system. IROS 2004: 76-81 - 2001
- [c3]Julien Dutreuil, François Goulette, Claude Laurgeau, Jaime Clavero Zoreda, Stefan Lundgren:
Computer Assisted Dental Implantology: A New Method and a Clinical Validation. MICCAI 2001: 384-391 - [c2]Thomas Chaperon, François Goulette:
Extracting Cylinders in Full 3D Data Using a Random Sampling Method and the Gaussian Image. VMV 2001: 35-42
1990 – 1999
- 1997
- [b1]François Goulette:
Quelques outils de géométrie différentielle pour la construction automatique de modèles CAO à partir d'images télémétriques. (Differential Geometry-Based Tools for Automatic CAD Modeling from Range Images). Mines ParisTech, France, 1997 - [c1]François Goulette:
Automatic CAD Modeling of Industrial Pipes from Range Images. 3DIM 1997: 229-233
Coauthor Index
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