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 …

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 …

X-vars: Introducing explainability in football refereeing with multi-modal large language models

J Held, H Itani, A Cioppa, S Giancola… - Proceedings of the …, 2024 - openaccess.thecvf.com
The rapid advancement of artificial intelligence has led to significant improvements in
automated decision-making. However the increased performance of models often comes at …

SoccerNet-caption: Dense video captioning for soccer broadcasts commentaries

H Mkhallati, A Cioppa, S Giancola… - Proceedings of the …, 2023 - openaccess.thecvf.com
Soccer is more than just a game-it is a passion that transcends borders and unites people
worldwide. From the roar of the crowds to the excitement of the commentators, every …

VARS: Video assistant referee system for automated soccer decision making from multiple views

J Held, A Cioppa, S Giancola… - Proceedings of the …, 2023 - openaccess.thecvf.com
Abstract The Video Assistant Referee (VAR) has revolutionized association football,
enabling referees to review incidents on the pitch, make informed decisions, and ensure …

Towards active learning for action spotting in association football videos

S Giancola, A Cioppa, J Georgieva… - Proceedings of the …, 2023 - openaccess.thecvf.com
Association football is a complex and dynamic sport, with numerous actions occurring
simultaneously in each game. Analyzing football videos is challenging and requires …

A survey of deep learning in sports applications: Perception, comprehension, and decision

Z Zhao, W Chai, S Hao, W Hu, G Wang, S Cao… - arxiv preprint arxiv …, 2023 - arxiv.org
Deep learning has the potential to revolutionize sports performance, with applications
ranging from perception and comprehension to decision. This paper presents a …

[HTML][HTML] Individual locating of soccer players from a single moving view

A Maglo, A Orcesi, J Denize, QC Pham - Sensors, 2023 - mdpi.com
Positional data in team sports is key in evaluating the players' individual and collective
performances. When the sole source of data is a broadcast-like video of the game, an …

Iterative scale-up expansioniou and deep features association for multi-object tracking in sports

HW Huang, CY Yang, J Sun, PK Kim… - Proceedings of the …, 2024 - openaccess.thecvf.com
Deep learning-based object detectors have driven notable progress in multi-object tracking
algorithms. Yet, current tracking methods mainly focus on simple, regular motion patterns in …

Observation centric and central distance recovery for athlete tracking

HW Huang, CY Yang, S Ramkumar… - Proceedings of the …, 2023 - openaccess.thecvf.com
Abstract Multi-Object Tracking on humans has improved rapidly with the development of
object detection and re-identification algorithms. However, multi-actor tracking over humans …