Thomas Gilles

Orcid: 0000-0002-5840-1216

According to our database1, Thomas Gilles authored at least 14 papers between 2019 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
MBAPPE: MCTS-Built-Around Prediction for Planning Explicitly.
CoRR, 2023

ImPosing: Implicit Pose Encoding for Efficient Visual Localization.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

TSGN: Temporal Scene Graph Neural Networks with Projected Vectorized Representation for Multi-Agent Motion Prediction.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2023

RMP: A Random Mask Pretrain Framework for Motion Prediction.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

2022
Exploiting map information for self-supervised learning in motion forecasting.
CoRR, 2022

Uncertainty estimation for Cross-dataset performance in Trajectory prediction.
CoRR, 2022

ImPosIng: Implicit Pose Encoding for Efficient Camera Pose Estimation.
CoRR, 2022

Enhanced Behavioral Cloning with Environmental Losses for Self-Driving Vehicles.
CoRR, 2022

GOHOME: Graph-Oriented Heatmap Output for future Motion Estimation.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Information Extraction from Visually Rich Documents with Font Style Embeddings.
Proceedings of the 26th International Conference on Pattern Recognition, 2022

THOMAS: Trajectory Heatmap Output with learned Multi-Agent Sampling.
Proceedings of the Tenth International Conference on Learning Representations, 2022

2021
HOME: Heatmap Output for future Motion Estimation.
Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021

2020
Multi-Head Attention for Multi-Modal Joint Vehicle Motion Forecasting.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

2019
Multi-Modal Simultaneous Forecasting of Vehicle Position Sequences using Social Attention.
CoRR, 2019


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