Eric Müller-Budack

Dr. Eric Müller-Budack is a researcher at the Leibniz Information Centre for Science and Technology (TIB) in Hannover, Germany, where he works in the Visual Analytics research group. His work focuses on bridging computer vision with information retrieval to analyze multimedia content, particularly news media and sports analytics.

His educational background includes:

• Ph.D. in Computer Science from Leibniz University Hannover (2021), passed with distinction

Müller-Budack's research primarily centers on automatic analysis of multimedia content, with particular emphasis on cross-modal consistency between images and text. His work has significant applications in news verification, misinformation detection, and sports analytics. He develops advanced computer vision techniques combined with natural language processing to create systems that can understand complex relationships between different media types, enabling more reliable analysis of digital content in real-world scenarios.

His recent publications demonstrate a clear trend toward using large vision-language models for multimodal analysis tasks, particularly in news verification and misinformation detection. His research increasingly focuses on practical applications of these technologies in diverse domains including sports analytics, patent analysis, and film studies, showing how computer vision can be applied to solve domain-specific problems across multiple disciplines.

Among his notable achievements:

• Best Paper Award at International Conference on Multimedia Retrieval (ICMR) 2020
• Best Paper Award at CLEOPATRA@ESWC 2020
• Honorable Mention Award at TPDL 2018
• PhD passed with Distinction (2021)
• Nominated for GI-Dissertationspreis (2022)
• Nominated for Leibniz Dissertation Award (Top 10) (2022)
• Best Paper Award at International Conference on Multimedia Retrieval (ICMR) 2024

Müller-Budack has been instrumental in developing TIB AV-Analytics, a computational tool for film and video analysis that serves both scholarly research and practical applications in media analysis. His collaborative work with researchers like Ralph Ewerth demonstrates strong interdisciplinary connections between computer science, journalism, sports science, and cultural heritage studies, creating bridges between theoretical research and real-world applications.