3 papers
cs.CV2025
STF: Spatial Temporal Fusion for Trajectory Prediction
Pengqian Han, Jiamou Liu, Tianzhe Bao +1
Trajectory prediction is a challenging task that aims to predict the future trajectory of vehicles or pedestrians over a short time horizon based on their historical positions. The…
cs.CV2025
Spatial-Temporal Conditional Random Field for Human Trajectory Prediction
Pengqian Han, Jiamou Liu, Jialing He +3
Trajectory prediction is of significant importance in computer vision. Accurate pedestrian trajectory prediction benefits autonomous vehicles and robots in planning their motion. P…
cs.LG2024
Enhancing Signed Graph Neural Networks through Curriculum-Based Training
Zeyu Zhang, Lu Li, Xingyu Ji +5
Signed graphs are powerful models for representing complex relations with both positive and negative connections. Recently, Signed Graph Neural Networks (SGNNs) have emerged as pot…