Guangyang Li

SparseGTN: Human Trajectory Forecasting with Sparsely Represented Scene and Incomplete Trajectories

In recent years, great progress has been made in forecasting human motion in crowded scenes. However, current methods are far from practical applications due to the unbearable high computation costs, especially for encoding scene context. In addition, neglecting the partially detected trajectories m