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 game state reconstruction: End-to-end athlete tracking and identification on a minimap

V Somers, V Joos, A Cioppa… - Proceedings of the …, 2024 - openaccess.thecvf.com
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 …

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 …

Dettoolchain: A new prompting paradigm to unleash detection ability of mllm

Y Wu, Y Wang, S Tang, W Wu, T He, W Ouyang… - arXiv preprint arXiv …, 2024 - arxiv.org
We present DetToolChain, a novel prompting paradigm, to unleash the zero-shot object
detection ability of multimodal large language models (MLLMs), such as GPT-4V and …

Multi-task learning for joint re-identification, team affiliation, and role classification for sports visual tracking

AM Mansourian, V Somers… - Proceedings of the 6th …, 2023 - dl.acm.org
Effective tracking and re-identification of players is essential for analyzing soccer videos.
But, it is a challenging task due to the non-linear motion of players, the similarity in …