A5056822905- Video Analysis and Summarization
- Sports Analytics and Performance
- Human Pose and Action Recognition
- Machine Learning and Data Classification
- Explainable Artificial Intelligence (XAI)
- Music and Audio Processing
- Anomaly Detection Techniques and Applications
- Adversarial Robustness in Machine Learning
- 3D Shape Modeling and Analysis
- Software System Performance and Reliability
- Neural Networks and Applications
- Advanced Optical Imaging Technologies
- Topic Modeling
- Computer Graphics and Visualization Techniques
University of Liège
2023-2024
The Video Assistant Referee (VAR) has revolutionized association football, enabling referees to review incidents on the pitch, make informed decisions, and ensure fairness. However, due lack of in many countries high cost VAR infrastructure, only professional leagues can benefit from it. In this paper, we propose a System (VARS) that automate soccer decision-making. VARS leverages latest findings multi-view video analysis, provide real-time feedback referee, help them decisions impact...
The rapid advancement of artificial intelligence has led to significant improvements in automated decision-making. However, the increased performance models often comes at cost explainability and transparency their decision-making processes. In this paper, we investigate capabilities large language explain decisions, using football refereeing as a testing ground, given its decision complexity subjectivity. We introduce Explainable Video Assistant Referee System, X-VARS, multi-modal model...
The application of Automatic Speech Recognition (ASR) technology in soccer offers numerous opportunities for sports analytics. Specifically, extracting audio commentaries with ASR provides valuable insights into the events game, and opens door to several downstream applications such as automatic highlight generation. This paper presents SoccerNet-Echoes, an augmentation SoccerNet dataset automatically generated transcriptions from game broadcasts, enhancing video content rich layers textual...
Over the past decade, technology used by referees in football has improved substantially, enhancing fairness and accuracy of decisions. This progress culminated implementation Video Assistant Referee (VAR), an innovation that enables backstage to review incidents on pitch from multiple points view. However, VAR is currently limited professional leagues due its expensive infrastructure lack worldwide. In this paper, we present semi-automated System (VARS) leverages latest findings multi-view...
The SoccerNet 2024 challenges represent the fourth annual video understanding organized by team. These aim to advance research across multiple themes in football, including broadcast understanding, field and player understanding. This year, encompass four vision-based tasks. (1) Ball Action Spotting, focusing on precisely localizing when which soccer actions related ball occur, (2) Dense Video Captioning, describing with natural language anchored timestamps, (3) Multi-View Foul Recognition,...
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 with compositions of primitives. However, Gaussians present several limitations for scene reconstruction. Accurately capturing hard edges is challenging without significantly increasing the number Gaussians, creating a large memory footprint. Moreover, they struggle to represent flat surfaces, are diffused space....
Characterizing domains is essential for models analyzing dynamic environments, as it allows them to adapt evolving conditions or hand the task over backup systems when facing outside their operational domain. Existing solutions typically characterize a domain by solving regression classification problem, which limits applicability they only provide limited summarized description of In this paper, we present novel approach characterization characterizing probability distributions....
The Video Assistant Referee (VAR) has revolutionized association football, enabling referees to review incidents on the pitch, make informed decisions, and ensure fairness. However, due lack of in many countries high cost VAR infrastructure, only professional leagues can benefit from it. In this paper, we propose a System (VARS) that automate soccer decision-making. VARS leverages latest findings multi-view video analysis, provide real-time feedback referee, help them decisions impact...
The SoccerNet 2023 challenges were the third annual video understanding organized by team. For this edition, composed of seven vision-based tasks split into three main themes. first theme, broadcast understanding, is high-level related to describing events occurring in broadcasts: (1) action spotting, focusing on retrieving all timestamps global actions soccer, (2) ball soccer change state, and (3) dense captioning, with natural language anchored timestamps. second field relates single task...