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cs.CV2025

Action Anticipation from SoccerNet Football Video Broadcasts

Mohamad Dalal, Artur Xarles, Anthony Cioppa +6

Artificial intelligence has revolutionized the way we analyze sports videos, whether to understand the actions of games in long untrimmed videos or to anticipate the player's motio…

cs.CV20241 cited

TrackNeRF: Bundle Adjusting NeRF from Sparse and Noisy Views via Feature Tracks

Jinjie Mai, Wenxuan Zhu, Sara Rojas +6

Neural radiance fields (NeRFs) generally require many images with accurate poses for accurate novel view synthesis, which does not reflect realistic setups where views can be spars…

cs.CV20242 cited

Towards AI-Powered Video Assistant Referee System (VARS) for Association Football

Jan Held, Anthony Cioppa, Silvio Giancola +4

Over the past decade, the technology used by referees in football has improved substantially, enhancing the fairness and accuracy of decisions. This progress has culminated in the…

cs.CV2024

Hybrid Structure-from-Motion and Camera Relocalization for Enhanced Egocentric Localization

Jinjie Mai, Abdullah Hamdi, Silvio Giancola +2

We built our pipeline EgoLoc-v1, mainly inspired by EgoLoc. We propose a model ensemble strategy to improve the camera pose estimation part of the VQ3D task, which has been proven…

cs.CV2024

Investigating Event-Based Cameras for Video Frame Interpolation in Sports

Antoine Deckyvere, Anthony Cioppa, Silvio Giancola +2

Slow-motion replays provide a thrilling perspective on pivotal moments within sports games, offering a fresh and captivating visual experience. However, capturing slow-motion foota…

cs.CV2024

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

Yassine Benzakour, Bruno Cabado, Silvio Giancola +3

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 essenti…