activity
20182026
most citedSoccerNet-Tracking: Multiple Object Tracking Dataset and Benchmark in Soccer Videos

133 citations · 533 across the 40 of their papers we have counts for

collaborators
Showing cs.CVShow all

42 papers · 1 filter

cs.CV2026

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…

cs.CV2026

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…

cs.CV2026

Event Detection in Videos: A Framework for the Development of New Methods

Anastasia Zakharova, Thierry Bouwmans, Anthony Cioppa +13

Event detection tasks in videos, the most important aspect of video surveillance, aim to detect events either at the pixel-level, frame-level, or clip-level. Plenty of methods inte…

cs.CV2026

TCG-AR: Real-Time Multi-View Augmented Reality for Trading Card Game Streaming

Anthony Cioppa, Antoine Verdonck, Maxim Henry +2

Trading card games are increasingly played and broadcast online, yet live streams remain mostly limited to flat top-down footage of the playing area. Augmenting such streams with v…

cs.CV2026

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…

cs.CV2025

MeshSplatting: Differentiable Rendering with Opaque Meshes

Jan Held, Sanghyun Son, Renaud Vandeghen +7

Primitive-based splatting methods like 3D Gaussian Splatting have revolutionized novel view synthesis with real-time rendering. However, their point-based representations remain in…

cs.CV2025

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…

cs.CV2025

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…

cs.CV2025

LinDeps: A Fine-tuning Free Post-Pruning Method to Remove Layer-Wise Linear Dependencies with Guaranteed Performance Preservation

Maxim Henry, Adrien Deliège, Anthony Cioppa +1

Convolutional Neural Networks (CNN) are widely used in many computer vision tasks. Yet, their increasing size and complexity pose significant challenges for efficient deployment on…

cs.CV2025

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…

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.CV2025

Can Geometry Save Central Views for Sports Field Registration?

Floriane Magera, Thomas Hoyoux, Martin Castin +3

Single-frame sports field registration often serves as the foundation for extracting 3D information from broadcast videos, enabling applications related to sports analytics, refere…

cs.CV2025

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…

cs.CV2024★ 1 cited

The Tile: A 2D Map of Ranking Scores for Two-Class Classification

Sébastien Piérard, Anaïs Halin, Anthony Cioppa +2

In the computer vision and machine learning communities, as well as in many other research domains, rigorous evaluation of any new method, including classifiers, is essential. One…

cs.CV2024★ 1 cited

A Hitchhiker's Guide to Understanding Performances of Two-Class Classifiers

Anaïs Halin, Sébastien Piérard, Anthony Cioppa +1

Properly understanding the performances of classifiers is essential in various scenarios. However, the literature often relies only on one or two standard scores to compare classif…

cs.CV2024★ 1 cited

Physically Interpretable Probabilistic Domain Characterization

Anaïs Halin, Sébastien Piérard, Renaud Vandeghen +10

Characterizing domains is essential for models analyzing dynamic environments, as it allows them to adapt to evolving conditions or to hand the task over to backup systems when fac…

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★ 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

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…