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Pedestrian trajectory prediction is critical for understanding human behavior. The prevailing approaches employ neural networks to predict trajectories from large amounts of trajectory data. However, ...

Moreover, we devise a cross-task reinforcement module to effectively integrate the local representations with pre-trained encoders from auxiliary domains. Actually, the enhanced region representations ...