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

6 citations

researchers with a paper here
collaborating institutions

2 papers

cs.CV2025★ 2 cited

Beyond Pixels: Leveraging the Language of Soccer to Improve Spatio-Temporal Action Detection in Broadcast Videos

Jeremie Ochin, Raphael Chekroun, Bogdan Stanciulescu +1

State-of-the-art spatio-temporal action detection (STAD) methods show promising results for extracting soccer events from broadcast videos. However, when operated in the high-recal…

cs.CV2025★ 6 cited

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

Jeremie Ochin, Guillaume Devineau, Bogdan Stanciulescu +1

Soccer analytics rely on two data sources: the player positions on the pitch and the sequences of events they perform. With around 2000 ball events per game, their precise and exha…