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 …

A universal protocol to benchmark camera calibration for sports

F Magera, T Hoyoux, O Barnich… - Proceedings of the …, 2024 - openaccess.thecvf.com
Camera calibration is a crucial component in the realm of sports analytics as it serves as the
foundation to extract 3D information out of the broadcast images. Despite the significance of …

Keypoint Promptable Re-Identification

V Somers, C De Vleeschouwer, A Alahi - arXiv preprint arXiv:2407.18112, 2024 - arxiv.org
Occluded Person Re-Identification (ReID) is a metric learning task that involves matching
occluded individuals based on their appearance. While many studies have tackled …

WSESeg: Introducing a Dataset for the Segmentation of Winter Sports Equipment with a Baseline for Interactive Segmentation

R Schön, D Kienzle, R Lienhart - arXiv preprint arXiv:2407.09288, 2024 - arxiv.org
In this paper we introduce a new dataset containing instance segmentation masks for ten
different categories of winter sports equipment, called WSESeg (Winter Sports Equipment …

STAN: Spatial-Temporal Awareness Network for Temporal Action Detection

M Liu, H Liu, S Zhao, F Ma, M Li, Z Dai… - Proceedings of the 6th …, 2023 - dl.acm.org
In recent years, there have been significant advancements in the field of temporal action
detection. However, few studies have focused on detecting actions in sporting events. In this …

OSL-ActionSpotting: A Unified Library for Action Spotting in Sports Videos

Y Benzakour, B Cabado, S Giancola… - … Workshop on Sport …, 2024 - ieeexplore.ieee.org
Action spotting is crucial in sports analytics as it enables the precise identification and
categorization of pivotal moments in sports matches, providing insights that are essential for …

Investigating Event-Based Cameras for Video Frame Interpolation in Sports

A Deckyvere, A Cioppa, S Giancola… - … Workshop on Sport …, 2024 - ieeexplore.ieee.org
Slow-motion replays provide a thrilling perspective on pivotal moments within sports games,
offering a fresh and captivating visual experience. However, capturing slow-motion footage …