3 papers
cs.CV2025
Diffusion^2: Dual Diffusion Model with Uncertainty-Aware Adaptive Noise for Momentary Trajectory Prediction
Yuhao Luo, Yuang Zhang, Kehua Chen +4
Accurate pedestrian trajectory prediction is crucial for ensuring safety and efficiency in autonomous driving and human-robot interaction scenarios. Earlier studies primarily utili…
cs.LG2024
GRANP: A Graph Recurrent Attentive Neural Process Model for Vehicle Trajectory Prediction
Yuhao Luo, Kehua Chen, Meixin Zhu
As a vital component in autonomous driving, accurate trajectory prediction effectively prevents traffic accidents and improves driving efficiency. To capture complex spatial-tempor…
cs.IR2024
Domain-Aware Cross-Attention for Cross-domain Recommendation
Yuhao Luo, Shiwei Ma, Mingjun Nie +4
Cross-domain recommendation (CDR) is an important method to improve recommender system performance, especially when observations in target domains are sparse. However, most existin…