SoccerNet-Depth: a scalable dataset for monocular depth estimation in sports videos
A Leduc, A Cioppa, S Giancola… - Proceedings of the …, 2024 - openaccess.thecvf.com
Abstract Monocular Depth Estimation (MDE) is fundamental in sports video understanding
enhancing augmented graphics scene understanding and game state reconstruction …
enhancing augmented graphics scene understanding and game state reconstruction …
Beyond the Premier: Assessing action spotting transfer capability across diverse domains
B Cabado, A Cioppa, S Giancola… - Proceedings of the …, 2024 - openaccess.thecvf.com
Football stands as one of the most successful sports in history thanks to the plethora of
professional leagues broadcasted worldwide followed by avid fans further fueled by the …
professional leagues broadcasted worldwide followed by avid fans further fueled by the …
X-vars: Introducing explainability in football refereeing with multi-modal large language models
The rapid advancement of artificial intelligence has led to significant improvements in
automated decision-making. However the increased performance of models often comes at …
automated decision-making. However the increased performance of models often comes at …
SoccerNet game state reconstruction: End-to-end athlete tracking and identification on a minimap
Tracking and identifying athletes on the pitch holds a central role in collecting essential
insights from the game such as estimating the total distance covered by players or …
insights from the game such as estimating the total distance covered by players or …
Keypoint Promptable Re-Identification
Occluded Person Re-Identification (ReID) is a metric learning task that involves matching
occluded individuals based on their appearance. While many studies have tackled …
occluded individuals based on their appearance. While many studies have tackled …
Eigen-Cluster VIS: Improving Weakly-supervised Video Instance Segmentation by Leveraging Spatio-temporal Consistency
The performance of Video Instance Segmentation (VIS) methods has improved significantly
with the advent of transformer networks. However, these networks often face challenges in …
with the advent of transformer networks. However, these networks often face challenges in …