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20232026
most citedX-VARS: Introducing Explainability in Football Refereeing with Multi-Modal Large Language Model

28 citations · 53 across the 20 of their papers we have counts for

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Showing 2024Show all

12 papers · 1 filter

cs.CV2024

3D Convex Splatting: Radiance Field Rendering with 3D Smooth Convexes

Jan Held, Renaud Vandeghen, Abdullah Hamdi +6

Recent advances in radiance field reconstruction, such as 3D Gaussian Splatting (3DGS), have achieved high-quality novel view synthesis and fast rendering by representing scenes wi…

cs.CV2024★ 4 cited

Deep learning for action spotting in association football videos

Silvio Giancola, Anthony Cioppa, Bernard Ghanem +1

The task of action spotting consists in both identifying actions and precisely localizing them in time with a single timestamp in long, untrimmed video streams. Automatically extra…

cs.CV2024★ 1 cited

SoccerNet 2024 Challenges Results

Anthony Cioppa, Silvio Giancola, Vladimir Somers +81

The SoccerNet 2024 challenges represent the fourth annual video understanding challenges organized by the SoccerNet team. These challenges aim to advance research across multiple t…

cs.CV2024★ 1 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.CV2024★ 2 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…

cs.SD2024★ 7 cited

SoccerNet-Echoes: A Soccer Game Audio Commentary Dataset

Sushant Gautam, Mehdi Houshmand Sarkhoosh, Jan Held +7

The application of Automatic Speech Recognition (ASR) technology in soccer offers numerous opportunities for sports analytics. Specifically, extracting audio commentaries with ASR…

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★ 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…