Multi-Modal Simultaneous Forecasting of Vehicle Position Sequences using Social Attention. - Jean Mercat; Thomas Gilles; Nicole El Zoghby; Guillaume Sandou; Dominique Beauvois; Guillermo Pita Gil (CoRR, 2019)

Multi-Head Attention for Multi-Modal Joint Vehicle Motion Forecasting. - Jean Mercat; Thomas Gilles; Nicole El Zoghby; Guillaume Sandou; Dominique Beauvois; Guillermo Pita Gil (ICRA, 2020)

HOME: Heatmap Output for future Motion Estimation. - Thomas Gilles; Stefano Sabatini; Dzmitry Tsishkou; Bogdan Stanciulescu; Fabien Moutarde (ITSC, 2021)

THOMAS: Trajectory Heatmap Output with learned Multi-Agent Sampling. - Thomas Gilles; Stefano Sabatini; Dzmitry Tsishkou; Bogdan Stanciulescu; Fabien Moutarde (ICLR, 2022)

Information Extraction from Visually Rich Documents with Font Style Embeddings. - Ismail Oussaid; William Vanhuffel; Pirashanth Ratnamogan; Mhamed Hajaiej; Alexis Mathey; Thomas Gilles (ICPR, 2022)

GOHOME: Graph-Oriented Heatmap Output for future Motion Estimation. - Thomas Gilles; Stefano Sabatini; Dzmitry Tsishkou; Bogdan Stanciulescu; Fabien Moutarde (ICRA, 2022)

Enhanced Behavioral Cloning with Environmental Losses for Self-Driving Vehicles. - Nelson Fernandez Pinto; Thomas Gilles (CoRR, 2022)

ImPosIng: Implicit Pose Encoding for Efficient Camera Pose Estimation. - Arthur Moreau; Thomas Gilles; Nathan Piasco; Dzmitry Tsishkou; Bogdan Stanciulescu; Arnaud de La Fortelle (CoRR, 2022)

Uncertainty estimation for Cross-dataset performance in Trajectory prediction. - Thomas Gilles; Stefano Sabatini; Dzmitry Tsishkou; Bogdan Stanciulescu; Fabien Moutarde (CoRR, 2022)

Exploiting map information for self-supervised learning in motion forecasting. - Caio Azevedo; Thomas Gilles; Stefano Sabatini; Dzmitry Tsishkou (CoRR, 2022)

RMP: A Random Mask Pretrain Framework for Motion Prediction. - Yi Yang 095; Qingwen Zhang; Thomas Gilles; Nazre Batool; John Folkesson (ITSC, 2023)

TSGN: Temporal Scene Graph Neural Networks with Projected Vectorized Representation for Multi-Agent Motion Prediction. - Yunong Wu; Thomas Gilles; Bogdan Stanciulescu; Fabien Moutarde (IV, 2023)

ImPosing: Implicit Pose Encoding for Efficient Visual Localization. - Arthur Moreau; Thomas Gilles; Nathan Piasco; Dzmitry Tsishkou; Bogdan Stanciulescu; Arnaud de La Fortelle (WACV, 2023)

UnO: Unsupervised Occupancy Fields for Perception and Forecasting. - Ben Agro; Quinlan Sykora; Sergio Casas 002; Thomas Gilles; Raquel Urtasun (CVPR, 2024)

DeTra: A Unified Model for Object Detection and Trajectory Forecasting. - Sergio Casas 002; Ben Agro; Jiageng Mao; Thomas Gilles; Alexander Cui; Thomas Li; Raquel Urtasun (ECCV (88), 2024)

MBAPPE: MCTS-Built-Around Prediction for Planning Explicitly. - Raphaël Chekroun; Thomas Gilles; Marin Toromanoff; Sascha Hornauer; Fabien Moutarde (IV, 2024)

MAD: Memory-Augmented Detection of 3D Objects. - Ben Agro; Sergio Casas 002; Patrick Wang; Thomas Gilles; Raquel Urtasun (CVPR, 2025)

DIO: Decomposable Implicit 4D Occupancy-Flow World Model. - Christopher Diehl; Quinlan Sykora; Ben Agro; Thomas Gilles; Sergio Casas 002; Raquel Urtasun (CVPR, 2025)