Learn tarot with mentor: A meta-learned self-supervised approach for trajectory prediction
M Pourkeshavarz, C Chen… - Proceedings of the IEEE …, 2023 - openaccess.thecvf.com
Predicting diverse yet admissible trajectories that adhere to the map constraints is
challenging. Graph-based scene encoders have been proven effective for preserving local …
challenging. Graph-based scene encoders have been proven effective for preserving local …
Learn TAROT with MENTOR: A Meta-Learned Self-supervised Approach for Trajectory Prediction
M Pourkeshavarz, C Chen… - 2023 IEEE/CVF …, 2023 - ieeexplore.ieee.org
Predicting diverse yet admissible trajectories that adhere to the map constraints is
challenging. Graph-based scene encoders have been proven effective for preserving local …
challenging. Graph-based scene encoders have been proven effective for preserving local …
Learn TAROT with MENTOR: A Meta-Learned Self-supervised Approach for Trajectory Prediction
M Pourkeshavarz, C Chen, A Rasouli - 2023 IEEE/CVF International …, 2023 - computer.org
Predicting diverse yet admissible trajectories that adhere to the map constraints is
challenging. Graph-based scene encoders have been proven effective for preserving local …
challenging. Graph-based scene encoders have been proven effective for preserving local …