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Yinglong Zhu

2 accepted papers

2024

SpectrumNet: Spectrum-Based Trajectory Encode Neural Network for Pedestrian Trajectory Prediction

ICASSP 2024accepted

Extracting motion pattern implied in the history trajectory is important for the pedestrian trajectory prediction task. The motion pattern determines how a pedestrian moves, including but not limited to reaction of interaction, tendency of speed and direction change. Although the motion pattern is a…

Cited by 0SourceScholar
2024

TrajCLIP: Pedestrian trajectory prediction method using contrastive learning and idempotent networks

NeurIPS 2024poster

The distribution of pedestrian trajectories is highly complex and influenced by the scene, nearby pedestrians, and subjective intentions. This complexity presents challenges for modeling and generalizing trajectory prediction. Previous methods modeled the feature space of future trajectories based o…

Cited by 0SourcePDFScholar