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20242026
most citedX-VARS: Introducing Explainability in Football Refereeing with Multi-Modal Large Language Model

28 citations · 70 across the 15 of their papers we have counts for

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Showing 2024Show all

7 papers · 1 filter

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…

cs.CV2024★ 6 cited

Multi-Stream Cellular Test-Time Adaptation of Real-Time Models Evolving in Dynamic Environments

Benoît Gérin, Anaïs Halin, Anthony Cioppa +5

In the era of the Internet of Things (IoT), objects connect through a dynamic network, empowered by technologies like 5G, enabling real-time data sharing. However, smart objects, n…

cs.CV2024★ 2 cited

SoccerNet Game State Reconstruction: End-to-End Athlete Tracking and Identification on a Minimap

Vladimir Somers, Victor Joos, Anthony Cioppa +11

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 unde…

cs.CV2024★ 22 cited

A Universal Protocol to Benchmark Camera Calibration for Sports

Floriane Magera, Thomas Hoyoux, Olivier Barnich +1

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 signif…

cs.CV2024★ 28 cited

X-VARS: Introducing Explainability in Football Refereeing with Multi-Modal Large Language Model

Jan Held, Hani Itani, Anthony Cioppa +3

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

cs.CV2024★ 7 cited

Efficient Image Pre-Training with Siamese Cropped Masked Autoencoders

Alexandre Eymaël, Renaud Vandeghen, Anthony Cioppa +3

Self-supervised pre-training of image encoders is omnipresent in the literature, particularly following the introduction of Masked autoencoders (MAE). Current efforts attempt to le…