3 papers
AMEND: A Mixture of Experts Framework for Long-tailed Trajectory Prediction
Ray Coden Mercurius, Ehsan Ahmadi, Soheil Mohamad Alizadeh Shabestary +1
Accurate prediction of pedestrians' future motions is critical for intelligent driving systems. Developing models for this task requires rich datasets containing diverse sets of sa…
DICE: Diverse Diffusion Model with Scoring for Trajectory Prediction
Younwoo Choi, Ray Coden Mercurius, Soheil Mohamad Alizadeh Shabestary +1
Road user trajectory prediction in dynamic environments is a challenging but crucial task for various applications, such as autonomous driving. One of the main challenges in this d…
DESTINE: Dynamic Goal Queries with Temporal Transductive Alignment for Trajectory Prediction
Rezaul Karim, Soheil Mohamad Alizadeh Shabestary, Amir Rasouli
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. Besi…