Kaijun Liu

Generative Human Trajectory Recovery via Embedding-Space Conditional Diffusion

Recovering human trajectories from incomplete or missing data is crucial for many mobility-based urban applications, e.g., urban planning, transportation, and location-based services. Existing methods mainly rely on recurrent neural networks or attention mechanisms. Though promising, they encounter…