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Hugues Thomas
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2020 – today
- 2024
- [c9]Hugues Thomas, Yao-Hung Hubert Tsai, Timothy D. Barfoot, Jian Zhang:
KPConvX: Modernizing Kernel Point Convolution with Kernel Attention. CVPR 2024: 5525-5535 - [i12]Hugues Thomas, Jian Zhang:
Embedding Pose Graph, Enabling 3D Foundation Model Capabilities with a Compact Representation. CoRR abs/2403.13777 (2024) - [i11]Hugues Thomas, Yao-Hung Hubert Tsai, Timothy D. Barfoot, Jian Zhang:
KPConvX: Modernizing Kernel Point Convolution with Kernel Attention. CoRR abs/2405.13194 (2024) - [i10]Binbin Xu, Allen Tao, Hugues Thomas, Jian Zhang, Timothy D. Barfoot:
MakeWay: Object-Aware Costmaps for Proactive Indoor Navigation Using LiDAR. CoRR abs/2408.17034 (2024) - 2023
- [j2]Hugues Thomas, Jian Zhang, Timothy D. Barfoot:
The Foreseeable Future: Self-Supervised Learning to Predict Dynamic Scenes for Indoor Navigation. IEEE Trans. Robotics 39(6): 4581-4599 (2023) - [c8]Mario Srouji, Hugues Thomas, Yao-Hung Hubert Tsai, Ali Farhadi, Jian Zhang:
SAFER: Safe Collision Avoidance Using Focused and Efficient Trajectory Search with Reinforcement Learning. CASE 2023: 1-8 - [i9]Mario Srouji, Yao-Hung Hubert Tsai, Hugues Thomas, Jian Zhang:
Human Following in Mobile Platforms with Person Re-Identification. CoRR abs/2309.12479 (2023) - 2022
- [c7]Meida Chen, Qingyong Hu, Zifan Yu, Hugues Thomas, Andrew Feng, Yu Hou, Kyle McCullough, Fengbo Ren, Lucio Soibelman:
STPLS3D: A Large-Scale Synthetic and Real Aerial Photogrammetry 3D Point Cloud Dataset. BMVC 2022: 429 - [c6]Hugues Thomas, Matthieu Gallet de Saint Aurin, Jian Zhang, Timothy D. Barfoot:
Learning Spatiotemporal Occupancy Grid Maps for Lifelong Navigation in Dynamic Scenes. ICRA 2022: 484-490 - [i8]Meida Chen, Qingyong Hu, Hugues Thomas, Andrew Feng, Yu Hou, Kyle McCullough, Lucio Soibelman:
STPLS3D: A Large-Scale Synthetic and Real Aerial Photogrammetry 3D Point Cloud Dataset. CoRR abs/2203.09065 (2022) - [i7]Hugues Thomas, Jian Zhang, Timothy D. Barfoot:
The Foreseeable Future: Self-Supervised Learning to Predict Dynamic Scenes for Indoor Navigation. CoRR abs/2208.12602 (2022) - 2021
- [j1]David J. Yoon, Haowei Zhang, Mona Gridseth, Hugues Thomas, Timothy D. Barfoot:
Unsupervised Learning of Lidar Features for Use ina Probabilistic Trajectory Estimator. IEEE Robotics Autom. Lett. 6(2): 2130-2138 (2021) - [c5]Hugues Thomas, Ben Agro, Mona Gridseth, Jian Zhang, Timothy D. Barfoot:
Self-Supervised Learning of Lidar Segmentation for Autonomous Indoor Navigation. ICRA 2021: 14047-14053 - [i6]David J. Yoon, Haowei Zhang, Mona Gridseth, Hugues Thomas, Timothy D. Barfoot:
Unsupervised Learning of Lidar Features for Use in a Probabilistic Trajectory Estimator. CoRR abs/2102.11261 (2021) - [i5]Hugues Thomas, Matthieu Gallet de Saint Aurin, Jian Zhang, Timothy D. Barfoot:
Learning Spatiotemporal Occupancy Grid Maps for Lifelong Navigation in Dynamic Scenes. CoRR abs/2108.10585 (2021) - 2020
- [c4]Hugues Thomas:
Rotation-Invariant Point Convolution With Multiple Equivariant Alignments. 3DV 2020: 504-513 - [i4]Hugues Thomas:
Rotation-Invariant Point Convolution With Multiple Equivariant Alignments. CoRR abs/2012.04048 (2020) - [i3]Hugues Thomas, Ben Agro, Mona Gridseth, Jian Zhang, Timothy D. Barfoot:
Self-Supervised Learning of Lidar Segmentation for Autonomous Indoor Navigation. CoRR abs/2012.05897 (2020)
2010 – 2019
- 2019
- [b1]Hugues Thomas:
Learning new representations for 3D point cloud semantic segmentation. (Apprentissage de nouvelles représentations pour la sémantisation de nuages de points 3D). PSL Research University, Paris, France, 2019 - [c3]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 - [i2]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
- [c2]Hugues Thomas, François Goulette, Jean-Emmanuel Deschaud, Beatriz Marcotegui:
Semantic Classification of 3D Point Clouds with Multiscale Spherical Neighborhoods. 3DV 2018: 390-398 - [i1]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) - 2016
- [c1]Siyuan Chen, François Brémond, Hung Nguyen, Hugues Thomas:
Exploring depth information for head detection with depth images. AVSS 2016: 228-234
Coauthor Index
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