28 citations · 53 across the 20 of their papers we have counts for
22 papers · 1 filter
SoccerNet-FoulRet: Retrieving Semantically Similar Soccer Foul Videos
Jacobus Arthur, Ahmad Sait, Batool Hani +6
Refereeing decisions in professional soccer remain inconsistent because referees cannot easily compare a contentious foul against similar past cases. We cast this as a retrieval pr…
SoccerNet 2026 Challenges Results
Anthony Cioppa, Silvio Giancola, Håkan Ardö +102
The SoccerNet 2026 Challenges constitute the sixth annual edition of the SoccerNet open benchmarking effort, dedicated to advancing computer vision research in sports video underst…
GoTTA be Diverse: Rethinking Memory Policies for Test-Time Adaptation
Shyma Alhuwaider, Yasmeen Alsaedy, Merey Ramazanova +2
Test-time adaptation (TTA) enables a pre-trained model to adapt online to an unlabeled test stream under distribution shift. While most TTA research focuses on the adaptation objec…
SoccerLens: Grounded Soccer Video Understanding Beyond Accuracy
Ismael Elsharkawi, Ahmed Sait, Silvio Giancola +3
Vision-language models (VLMs) have recently shown strong potential in soccer video understanding. However, given the high complexity of soccer videos due to large viewpoint variati…
Towards Athlete Fatigue Assessment from Association Football Videos
Xavier Bou, Nathan Correger, Alexandre Cloots +7
Fatigue monitoring is central in association football due to its links with injury risk and tactical performance. However, objective fatigue-related indicators are commonly derived…
Pixels or Positions? Benchmarking Modalities in Group Activity Recognition
Drishya Karki, Merey Ramazanova, Anthony Cioppa +2
Group Activity Recognition (GAR) is well studied on the video modality for surveillance and indoor team sports (e.g., volleyball, basketball). Yet, other modalities such as agent p…
SoccerNet 2025 Challenges Results
Silvio Giancola, Anthony Cioppa, Marc Gutiérrez-Pérez +115
The SoccerNet 2025 Challenges mark the fifth annual edition of the SoccerNet open benchmarking effort, dedicated to advancing computer vision research in football video understandi…
Triangle Splatting for Real-Time Radiance Field Rendering
Jan Held, Renaud Vandeghen, Adrien Deliege +7
The field of computer graphics was revolutionized by models such as Neural Radiance Fields and 3D Gaussian Splatting, displacing triangles as the dominant representation for photog…
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…
OpenTAD: A Unified Framework and Comprehensive Study of Temporal Action Detection
Shuming Liu, Chen Zhao, Fatimah Zohra +10
Temporal action detection (TAD) is a fundamental video understanding task that aims to identify human actions and localize their temporal boundaries in videos. Although this field…
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…
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…
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…
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…
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…
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…
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…
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…
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…
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…
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…
Artificial intelligence optical hardware empowers high-resolution hyperspectral video understanding at 1.2 Tb/s
Maksim Makarenko, Qizhou Wang, Arturo Burguete-Lopez +4
Foundation models, exemplified by GPT technology, are discovering new horizons in artificial intelligence by executing tasks beyond their designers' expectations. While the present…