11 citations · 34 across the 10 of their papers we have counts for
6 papers · 1 filter
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…