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Papers
2012.10531
Cited By

A Graph Attention Based Approach for Trajectory Prediction in
Multi-agent Sports Games

A Graph Attention Based Approach for Trajectory Prediction in Multi-agent Sports Games

18 December 2020

ArXiv (abs)PDF HTML

Papers citing "A Graph Attention Based Approach for Trajectory Prediction in Multi-agent Sports Games"

4 / 4 papers shown

Game State and Spatio-temporal Action Detection in Soccer using Graph Neural Networks and 3D Convolutional Networks

Game State and Spatio-temporal Action Detection in Soccer using Graph Neural Networks and 3D Convolutional NetworksInternational Conference on Pattern Recognition Applications and Methods (ICPRAM), 2025

Guillaume Devineau

Bogdan Stanciulescu

Sotiris Manitsaris

346

6

0

24 Feb 2025

TranSPORTmer: A Holistic Approach to Trajectory Understanding in
Multi-Agent Sports

TranSPORTmer: A Holistic Approach to Trajectory Understanding in Multi-Agent SportsAsian Conference on Computer Vision (ACCV), 2024

Guillem Capellera

Francesc Moreno-Noguer

440

10

0

23 Oct 2024

FootBots: A Transformer-based Architecture for Motion Prediction in
Soccer

FootBots: A Transformer-based Architecture for Motion Prediction in Soccer

Guillem Capellera

Antonio Agudo

Francesc Moreno-Noguer

246

7

0

28 Jun 2024

Graph Neural Networks to Predict Sports Outcomes

Graph Neural Networks to Predict Sports Outcomes

Peter Xenopoulos

Claudio Silva

257

15

0

28 Jul 2022

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