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Dr.-Ing.

Eric Müller-Budack

PhD in Computer Science
TIB - Leibniz Information Centre for Science and Technology
Hannover, Germany
eric.mueller@tib.eu

about

Hi, I am Eric Müller-Budack, a postdoctoral researcher in the Visual Analytics Research Group of the TIB – Leibniz Information Centre for Science and Technology. My research focuses on automatic multimedia indexing, multimedia and multimodal information retrieval, deep learning for multimedia analysis and retrieval, as well as sports analytics. My work aims to push the boundaries of how we understand and interact with multimedia content, leveraging cutting-edge AI and machine learning technologies.

latest news

Jun 11, 2024 Best Paper Award at ICMR 2024
Jun 6, 2024 Two papers presented at SCSMI 2024
May 2, 2023 Journal Article on Understanding Semantic Image-Text Relations
Feb 3, 2022 PhD Thesis Published
Feb 1, 2022 FakeNarratives Project Meeting
Jan 4, 2022 Two Papers at WACV'22
Dec 10, 2021 PhD Defense

selected publications

2024

  1. Visual Narratives: Large-scale Hierarchical Classification of Art-historical Images
    Matthias Springstein, Stefanie Schneider, Javad Rahnama, Julian Stalter, Maximilian Kristen, Eric Müller-Budack, and Ralph Ewerth
    IEEE/CVF Winter Conference on Applications of Computer Vision, WACV 2024, Waikoloa, HI, USA, January 3-8, 2024, pp. 7195–7205. IEEE, 2024.
    https://doi.org/10.1109/WACV57701.2024.00705
  2. Few-Shot Event Classification in Images using Knowledge Graphs for Prompting
    Golsa Tahmasebzadeh, Matthias Springstein, Ralph Ewerth, and Eric Müller-Budack
    IEEE/CVF Winter Conference on Applications of Computer Vision, WACV 2024, Waikoloa, HI, USA, January 3-8, 2024, pp. 7271–7280. IEEE, 2024.
    https://doi.org/10.1109/WACV57701.2024.00712

2021

  1. Multimodal news analytics using measures of cross-modal entity and context consistency
    Eric Müller-Budack, Jonas Theiner, Sebastian Diering, Maximilian Idahl, Sherzod Hakimov, and Ralph Ewerth
    International Journal of Multimedia Information Retrieval, 10(2), pp. 111–125, 2021.
    Invited paper (Best Papers of ACM ICMR 2020)
    https://doi.org/10.1007/s13735-021-00207-4
  2. Ontology-driven Event Type Classification in Images
    Eric Müller-Budack, Matthias Springstein, Sherzod Hakimov, Kevin Mrutzek, and Ralph Ewerth
    IEEE Winter Conference on Applications of Computer Vision, WACV 2021, Virtual Event, January 3-8, 2021, pp. 2927–2937. IEEE, 2021.
    https://doi.org/10.1109/WACV48630.2021.00297

2018

  1. Geolocation Estimation of Photos Using a Hierarchical Model and Scene Classification
    Eric Müller-Budack, Kader Pustu-Iren, and Ralph Ewerth
    European Conference on Computer Vision, ECCV 2018, Munich, Germany, September 8-14, 2018, pp. 575–592. Springer, 2018.
    https://doi.org/10.1007/978-3-030-01258-8_35