Exploring depth information for head detection with depth images. - Siyuan Chen; François Brémond; Hung Nguyen; Hugues Thomas (AVSS, 2016)

Semantic Classification of 3D Point Clouds with Multiscale Spherical Neighborhoods. - Hugues Thomas; François Goulette; Jean-Emmanuel Deschaud; Beatriz Marcotegui (3DV, 2018)

Semantic Classification of 3D Point Clouds with Multiscale Spherical Neighborhoods. - Hugues Thomas; Jean-Emmanuel Deschaud; Beatriz Marcotegui; François Goulette; Yann Le Gall (CoRR, 2018)

KPConv: Flexible and Deformable Convolution for Point Clouds. - Hugues Thomas; Charles R. Qi; Jean-Emmanuel Deschaud; Beatriz Marcotegui; François Goulette; Leonidas J. Guibas (ICCV, 2019)

Learning new representations for 3D point cloud semantic segmentation. (Apprentissage de nouvelles représentations pour la sémantisation de nuages de points 3D). - Hugues Thomas (2019)

Rotation-Invariant Point Convolution With Multiple Equivariant Alignments. - Hugues Thomas (3DV, 2020)

Self-Supervised Learning of Lidar Segmentation for Autonomous Indoor Navigation. - Hugues Thomas; Ben Agro; Mona Gridseth; Jian Zhang 050; Timothy D. Barfoot (ICRA, 2021)

Unsupervised Learning of Lidar Features for Use in a Probabilistic Trajectory Estimator. - David J. Yoon; Haowei Zhang; Mona Gridseth; Hugues Thomas; Timothy D. Barfoot (CoRR, 2021)

Unsupervised Learning of Lidar Features for Use ina Probabilistic Trajectory Estimator. - David J. Yoon; Haowei Zhang; Mona Gridseth; Hugues Thomas; Timothy D. Barfoot (IEEE Robotics Autom. Lett., 2021)

STPLS3D: A Large-Scale Synthetic and Real Aerial Photogrammetry 3D Point Cloud Dataset. - Meida Chen; Qingyong Hu; Zifan Yu; Hugues Thomas; Andrew Feng; Yu Hou; Kyle McCullough; Fengbo Ren; Lucio Soibelman (BMVC, 2022)

Learning Spatiotemporal Occupancy Grid Maps for Lifelong Navigation in Dynamic Scenes. - Hugues Thomas; Matthieu Gallet de Saint Aurin; Jian Zhang 050; Timothy D. Barfoot (ICRA, 2022)

STPLS3D: A Large-Scale Synthetic and Real Aerial Photogrammetry 3D Point Cloud Dataset. - Meida Chen; Qingyong Hu; Hugues Thomas; Andrew Feng; Yu Hou; Kyle McCullough; Lucio Soibelman (CoRR, 2022)

SAFER: Safe Collision Avoidance Using Focused and Efficient Trajectory Search with Reinforcement Learning. - Mario Srouji; Hugues Thomas; Yao-Hung Hubert Tsai; Ali Farhadi; Jian Zhang 050 (CASE, 2023)

Human Following in Mobile Platforms with Person Re-Identification. - Mario Srouji; Yao-Hung Hubert Tsai; Hugues Thomas; Jian Zhang 050 (CoRR, 2023)

The Foreseeable Future: Self-Supervised Learning to Predict Dynamic Scenes for Indoor Navigation. - Hugues Thomas; Jian Zhang 050; Timothy D. Barfoot (IEEE Trans. Robotics, 2023)

KPConvX: Modernizing Kernel Point Convolution with Kernel Attention. - Hugues Thomas; Yao-Hung Hubert Tsai; Timothy D. Barfoot; Jian Zhang 050 (CVPR, 2024)

Embedding Pose Graph, Enabling 3D Foundation Model Capabilities with a Compact Representation. - Hugues Thomas; Jian Zhang 050 (CoRR, 2024)

MakeWay: Object-Aware Costmaps for Proactive Indoor Navigation Using LiDAR. - Binbin Xu; Allen Tao; Hugues Thomas; Jian Zhang 050; Timothy D. Barfoot (CoRR, 2024)

DR-MPC: Deep Residual Model Predictive Control for Real-World Social Navigation. - James R. Han; Hugues Thomas; Jian Zhang 050; Nicholas Rhinehart; Timothy D. Barfoot (IEEE Robotics Autom. Lett., 2025)

Pts3D-LLM: Studying the Impact of Token Structure for 3D Scene Understanding With Large Language Models. - Hugues Thomas; Chen Chen; Jian Zhang (CoRR, 2025)