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Research questionHow can models select the intended pass receiver from partially observed, anonymous football freeze-frames?Freeze-frame observations may show only some players, with changing candidate sets and no stable identities or complete trajectories. Receiver prediction must infer the target from spatial relations, opponent pressure, and recent possession context.
AI
Computer Vision
Machine Learning
Research Paper
Latest papersRecent research connected to this question, newest first.Hierarchical Possession-Aware Graph Pointer Network for Pass Receiver SelectionThe source studies variable-size prediction over visible teammates in broadcast-like football freeze-frames using public football event and freeze-frame data. It evaluates a graph-based model that combines current interactions, fixed event context, and dynamic possession history; the evidence does not establish complete trajectories or stable player identities.research paper · Sep 4, 2026
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