Deep learning based occluded person re-identification: A survey

Y Peng, J Wu, B Xu, C Cao, X Liu, Z Sun… - ACM Transactions on …, 2023 - dl.acm.org
Occluded person re-identification (Re-ID) focuses on addressing the occlusion problem
when retrieving the person of interest across non-overlapping cameras. With the increasing …

SoccerNet 2023 challenges results

A Cioppa, S Giancola, V Somers, F Magera, X Zhou… - Sports Engineering, 2024 - Springer
The SoccerNet 2023 challenges were the third annual video understanding challenges
organized by the SoccerNet team. For this third edition, the challenges were composed of …

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 …

Erasing, transforming, and noising defense network for occluded person re-identification

N Dong, L Zhang, S Yan, H Tang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Occlusion perturbation presents a significant challenge in person re-identification (re-ID),
and existing methods that rely on external visual cues require additional computational …

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 …

Plip: Language-image pre-training for person representation learning

J Zuo, C Yu, N Sang, C Gao - arXiv preprint arXiv:2305.08386, 2023 - arxiv.org
Pre-training has emerged as an effective technique for learning powerful person
representations. Most existing methods have shown that pre-training on pure-vision large …

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 …