11 citations · 34 across the 10 of their papers we have counts for
10 papers
Time-to-Injury Forecasting in Elite Female Football: A DeepHit Survival Approach
Victoria Catterall, Cise Midoglu, Stephen Lynch
Injury occurrence in football poses significant challenges for athletes and teams, carrying personal, competitive, and financial consequences. While machine learning has been appli…
VideoHEDGE: Entropy-Based Hallucination Detection for Video-VLMs via Semantic Clustering and Spatiotemporal Perturbations
Sushant Gautam, Cise Midoglu, Vajira Thambawita +2
Hallucinations in video-capable vision-language models (Video-VLMs) remain frequent and high-confidence, while existing uncertainty metrics often fail to align with correctness. We…
ExposureEngine: Oriented Logo Detection and Sponsor Visibility Analytics in Sports Broadcasts
Mehdi Houshmand Sarkhoosh, Frøy Øye, Henrik Nestor Sørlie +5
Quantifying sponsor visibility in sports broadcasts is a critical marketing task traditionally hindered by manual, subjective, and unscalable analysis methods. While automated syst…
SoccerChat: Integrating Multimodal Data for Enhanced Soccer Game Understanding
Sushant Gautam, Cise Midoglu, Vajira Thambawita +3
The integration of artificial intelligence in sports analytics has transformed soccer video understanding, enabling real-time, automated insights into complex game dynamics. Tradit…
SoccerGuard: Investigating Injury Risk Factors for Professional Soccer Players with Machine Learning
Finn Bartels, Lu Xing, Cise Midoglu +3
We present SoccerGuard, a novel framework for predicting injuries in women's soccer using Machine Learning (ML). This framework can ingest data from multiple sources, including sub…
Enhancing Structured-Data Retrieval with GraphRAG: Soccer Data Case Study
Zahra Sepasdar, Sushant Gautam, Cise Midoglu +2
Extracting meaningful insights from large and complex datasets poses significant challenges, particularly in ensuring the accuracy and relevance of retrieved information. Tradition…
PLayerTV: Advanced Player Tracking and Identification for Automatic Soccer Highlight Clips
Håkon Maric Solberg, Mehdi Houshmand Sarkhoosh, Sushant Gautam +3
In the rapidly evolving field of sports analytics, the automation of targeted video processing is a pivotal advancement. We propose PlayerTV, an innovative framework which harnesse…
Demo: Soccer Information Retrieval via Natural Queries using SoccerRAG
Aleksander Theo Strand, Sushant Gautam, Cise Midoglu +1
The rapid evolution of digital sports media necessitates sophisticated information retrieval systems that can efficiently parse extensive multimodal datasets. This paper demonstrat…
SoccerRAG: Multimodal Soccer Information Retrieval via Natural Queries
Aleksander Theo Strand, Sushant Gautam, Cise Midoglu +1
The rapid evolution of digital sports media necessitates sophisticated information retrieval systems that can efficiently parse extensive multimodal datasets. This paper introduces…
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…