5 papers
PathCRF: Ball-Free Soccer Event Detection via Possession Path Inference from Player Trajectories
Hyunsung Kim, Kunhee Lee, Sangwoo Seo +3
Despite recent advances in AI, event data collection in soccer still relies heavily on labor-intensive manual annotation. Although prior work has explored automatic event detection…
Better Prevent than Tackle: Valuing Defense in Soccer Based on Graph Neural Networks
Hyunsung Kim, Sangwoo Seo, Hoyoung Choi +3
Evaluating defensive performance in soccer remains challenging, as effective defending is often expressed not through visible on-ball actions such as interceptions and tackles, but…
Adaptive Graph Rewiring to Mitigate Over-Squashing in Mesh-Based GNNs for Fluid Dynamics Simulations
Sangwoo Seo, Hyunsung Kim, Jiwan Kim +1
Mesh-based simulation using Graph Neural Networks (GNNs) has been recognized as a promising approach for modeling fluid dynamics. However, the mesh refinement techniques which allo…
ELASTIC: Event-Tracking Data Synchronization in Soccer Without Annotated Event Locations
Hyunsung Kim, Hoyoung Choi, Sangwoo Seo +3
The integration of event and tracking data has become essential for advanced analysis in soccer. However, synchronizing these two modalities remains a significant challenge due to…
Trajectory Imputation in Multi-Agent Sports with Derivative-Accumulating Self-Ensemble
Han-Jun Choi, Hyunsung Kim, Minho Lee +4
Multi-agent trajectory data collected from domains such as team sports often suffer from missing values due to various factors. While many imputation methods have been proposed for…