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Ziqian Zou

2 accepted papers

2025

Resonance: Learning to Predict Social-Aware Pedestrian Trajectories as Co-Vibrations

ICCV 2025poster

Learning to forecast trajectories of intelligent agents has caught much more attention recently. However, it remains a challenge to accurately account for agents' intentions and social behaviors when forecasting, and in particular, to simulate the unique randomness within each of those components in…

2024

SocialCircle: Learning the Angle-based Social Interaction Representation for Pedestrian Trajectory Prediction

CVPR 2024poster

Analyzing and forecasting trajectories of agents like pedestrians and cars in complex scenes has become more and more significant in many intelligent systems and applications. The diversity and uncertainty in socially interactive behaviors among a rich variety of agents make this task more challengi…