2 papers
cs.CV2025
PatchTraj: Unified Time-Frequency Representation Learning via Dynamic Patches for Trajectory Prediction
Yanghong Liu, Xingping Dong, Ming Li +2
Pedestrian trajectory prediction is crucial for autonomous driving and robotics. While existing point-based and grid-based methods expose two main limitations: insufficiently model…
cs.LG2025
Frequency Feature Fusion Graph Network For Depression Diagnosis Via fNIRS
Chengkai Yang, Xingping Dong, Xiaofen Zong
Data-driven approaches for depression diagnosis have emerged as a significant research focus in neuromedicine, driven by the development of relevant datasets. Recently, graph neura…