Hugues Thomas - RankMe

27 papers A* 4A 1B 1Journal 17Unranked 3

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	DR-MPC: Deep Residual Model Predictive Control for Real-World Social Navigation. IEEE Robotics Autom. Lett. James R. Han, Hugues Thomas, Jian Zhang, Nicholas Rhinehart, Timothy D. Barfoot
2025	J	`jnl`	Pts3D-LLM: Studying the Impact of Token Structure for 3D Scene Understanding With Large Language Models. CoRR Hugues Thomas, Chen Chen, Jian Zhang
2024	J	`jnl`	DR-MPC: Deep Residual Model Predictive Control for Real-world Social Navigation. CoRR James R. Han, Hugues Thomas, Jian Zhang, Nicholas Rhinehart, Timothy D. Barfoot
2024	J	`jnl`	Embedding Pose Graph, Enabling 3D Foundation Model Capabilities with a Compact Representation. CoRR Hugues Thomas, Jian Zhang
2024	A*	`conf`	KPConvX: Modernizing Kernel Point Convolution with Kernel Attention. CVPR Hugues Thomas, Yao-Hung Hubert Tsai, Timothy D. Barfoot, Jian Zhang
2024	J	`jnl`	KPConvX: Modernizing Kernel Point Convolution with Kernel Attention. CoRR Hugues Thomas, Yao-Hung Hubert Tsai, Timothy D. Barfoot, Jian Zhang
2024	J	`jnl`	MakeWay: Object-Aware Costmaps for Proactive Indoor Navigation Using LiDAR. CoRR Binbin Xu, Allen Tao, Hugues Thomas, Jian Zhang, Timothy D. Barfoot
2023	J	`jnl`	Human Following in Mobile Platforms with Person Re-Identification. CoRR Mario Srouji, Yao-Hung Hubert Tsai, Hugues Thomas, Jian Zhang
2023	—	`conf`	SAFER: Safe Collision Avoidance Using Focused and Efficient Trajectory Search with Reinforcement Learning. CASE Mario Srouji, Hugues Thomas, Yao-Hung Hubert Tsai, Ali Farhadi, Jian Zhang
2023	J	`jnl`	The Foreseeable Future: Self-Supervised Learning to Predict Dynamic Scenes for Indoor Navigation. IEEE Trans. Robotics Hugues Thomas, Jian Zhang, Timothy D. Barfoot
2022	A*	`conf`	Learning Spatiotemporal Occupancy Grid Maps for Lifelong Navigation in Dynamic Scenes. ICRA Hugues Thomas, Matthieu Gallet de Saint Aurin, Jian Zhang, Timothy D. Barfoot
2022	A	`conf`	STPLS3D: A Large-Scale Synthetic and Real Aerial Photogrammetry 3D Point Cloud Dataset. BMVC Meida Chen, Qingyong Hu, Zifan Yu, Hugues Thomas, Andrew Feng, Yu Hou, Kyle McCullough, Fengbo Ren, Lucio Soibelman
2022	J	`jnl`	STPLS3D: A Large-Scale Synthetic and Real Aerial Photogrammetry 3D Point Cloud Dataset. CoRR Meida Chen, Qingyong Hu, Hugues Thomas, Andrew Feng, Yu Hou, Kyle McCullough, Lucio Soibelman
2022	J	`jnl`	The Foreseeable Future: Self-Supervised Learning to Predict Dynamic Scenes for Indoor Navigation. CoRR Hugues Thomas, Jian Zhang, Timothy D. Barfoot
2021	J	`jnl`	Learning Spatiotemporal Occupancy Grid Maps for Lifelong Navigation in Dynamic Scenes. CoRR Hugues Thomas, Matthieu Gallet de Saint Aurin, Jian Zhang, Timothy D. Barfoot
2021	A*	`conf`	Self-Supervised Learning of Lidar Segmentation for Autonomous Indoor Navigation. ICRA Hugues Thomas, Ben Agro, Mona Gridseth, Jian Zhang, Timothy D. Barfoot
2021	J	`jnl`	Unsupervised Learning of Lidar Features for Use in a Probabilistic Trajectory Estimator. CoRR David J. Yoon, Haowei Zhang, Mona Gridseth, Hugues Thomas, Timothy D. Barfoot
2021	J	`jnl`	Unsupervised Learning of Lidar Features for Use ina Probabilistic Trajectory Estimator. IEEE Robotics Autom. Lett. David J. Yoon, Haowei Zhang, Mona Gridseth, Hugues Thomas, Timothy D. Barfoot
2020	—	`conf`	Rotation-Invariant Point Convolution With Multiple Equivariant Alignments. 3DV Hugues Thomas
2020	J	`jnl`	Rotation-Invariant Point Convolution With Multiple Equivariant Alignments. CoRR Hugues Thomas
2020	J	`jnl`	Self-Supervised Learning of Lidar Segmentation for Autonomous Indoor Navigation. CoRR Hugues Thomas, Ben Agro, Mona Gridseth, Jian Zhang, Timothy D. Barfoot
2019	A*	`conf`	KPConv: Flexible and Deformable Convolution for Point Clouds. ICCV Hugues Thomas, Charles R. Qi, Jean-Emmanuel Deschaud, Beatriz Marcotegui, François Goulette, Leonidas J. Guibas
2019	J	`jnl`	KPConv: Flexible and Deformable Convolution for Point Clouds. CoRR Hugues Thomas, Charles R. Qi, Jean-Emmanuel Deschaud, Beatriz Marcotegui, François Goulette, Leonidas J. Guibas
2019	—	`—`	Learning new representations for 3D point cloud semantic segmentation. (Apprentissage de nouvelles représentations pour la sémantisation de nuages de points 3D). Hugues Thomas
2018	—	`conf`	Semantic Classification of 3D Point Clouds with Multiscale Spherical Neighborhoods. 3DV Hugues Thomas, François Goulette, Jean-Emmanuel Deschaud, Beatriz Marcotegui
2018	J	`jnl`	Semantic Classification of 3D Point Clouds with Multiscale Spherical Neighborhoods. CoRR Hugues Thomas, Jean-Emmanuel Deschaud, Beatriz Marcotegui, François Goulette, Yann Le Gall
2016	B	`conf`	Exploring depth information for head detection with depth images. AVSS Siyuan Chen, François Brémond, Hung Nguyen, Hugues Thomas