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Periodic Residual Learning for Crowd Flow Forecasting
In this paper, we devise a novel periodic residual learning network (PRNet) for a better modeling of periodicity in crowd flow data.
GraphTCN: Spatio-Temporal Interaction Modeling for Human Trajectory Prediction
Predicting the future paths of an agent's neighbors accurately and in a timely manner is central to the autonomous applications for collision avoidance.
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