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 …

Abstract Monocular Depth Estimation (MDE) is fundamental in sports video understanding
enhancing augmented graphics scene understanding and game state reconstruction …

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 …

The rapid advancement of artificial intelligence has led to significant improvements in
automated decision-making. However the increased performance of models often comes at …

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 …

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 …

Over the past few decades, numerous studies have focused on identifying and recognizing
human actions using machine learning and computer vision techniques. Video-based …

With the recent advances in video and 3D understanding, novel 4D spatio-temporal
methods fusing both concepts have emerged. Towards this direction, the Ego4D Episodic …

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 …

Multimodal Large Language Models (MLLMs) are advancing the ability to reason about
complex sports scenarios by integrating textual and visual information. To comprehensively …