Deep neural models, in recent years, have been successful in almost every field, even
solving the most complex problem statements. However, these models are huge in size with …

Tracking objects in soccer videos is extremely important to gather both player and team
statistics, whether it is to estimate the total distance run, the ball possession or the team …

Understanding broadcast videos is a challenging task in computer vision, as it requires
generic reasoning capabilities to appreciate the content offered by the video editing. In this …

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 …

Soccer broadcast video understanding has been drawing a lot of attention in recent years
within data scientists and industrial companies. This is mainly due to the lucrative potential …

In video understanding, action spotting consists in temporally localizing human-induced
events annotated with single timestamps. In this paper, we propose a novel loss function that …

Toward the goal of automatic production for sports broadcasts, a paramount task consists in
understanding the high-level semantic information of the game in play. For instance …