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AMEND: A Mixture of Experts Framework for Long-tailed Trajectory Prediction
Such a long-tail effect causes prediction models to underperform on the tail portion of the data distribution containing safety-critical scenarios.
DICE: Diverse Diffusion Model with Scoring for Trajectory Prediction
Road user trajectory prediction in dynamic environments is a challenging but crucial task for various applications, such as autonomous driving.
DESTINE: Dynamic Goal Queries with Temporal Transductive Alignment for Trajectory Prediction
Predicting temporally consistent road users' trajectories in a multi-agent setting is a challenging task due to unknown characteristics of agents and their varying intentions.
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