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Dr.-Ing. Eric Müller-Budack
Postdoctoral Researcher in Computer Science
TIB - Leibniz Information Centre for Science and Technology
eric.mueller@tib.eu

About

Hi, my name is Eric Müller-Budack. I am currently working as a postdoctoral researcher in the Visual Analytics Research Group of the TIB - Leibniz Information Centre for Science and Technology as well as at the L3S Research Center of the Leibniz Universität Hannover.

My main research interests include automatic multimedia indexing, multimedia and multimodal information retrieval, deep learning for multimedia analysis and retrieval, as well as sports analytics.

News

PhD thesis published

February 03, 2022

My PhD thesis got published in the institutional repository of the Leibniz Universität Hannover:

Müller-Budack, E. (2022). Unsupervised quantification of entity consistency between photos and text in real-world news (p. 222) [Gottfried Wilhelm Leibniz Universität Hannover]. Link

FakeNarratives Project Meeting

February 01, 2022

The first FakeNarratives project meeting took place virtually on February 1, 2022.

FakeNarratives is a joint project with the University of Bremen and the University of Leipzig funded by the Federal Ministry of Education and Research (BMBF). The core idea of the project is to analyse the narrative structures of disinformation in videos from public and alternative media shared on social networks. More information can be found on our project homepage.

Kickoff Meeting FakeNarratives

Two Papers at WACV'22

January 04, 2022

We are happy to present two papers at the IEEE Winter Conference on Applications of Computer Vision (WACV) 2022 that takes place in Waikoloa, Hawaii from January 4-8, 2022.

Theiner, J., Müller-Budack, E., & Ewerth, R. (2022). Interpretable Semantic Photo Geolocation. IEEE/CVF Winter Conference on Applications of Computer Vision, WACV 2022, Waikoloa, HI, USA, January 3-8, 2022, 1474–1484. Link

Theiner, J., Gritz, W., Müller-Budack, E., Rein, R., Memmert, D., & Ewerth, R. (2022). Extraction of Positional Player Data from Broadcast Soccer Videos. IEEE/CVF Winter Conference on Applications of Computer Vision, WACV 2022, Waikoloa, HI, USA, January 3-8, 2022, 1463–1473. Link

Banner of WACV 2022 in Hawaii

PhD Defense

December 10, 2021

I successfully defended my PhD thesis entitled Unsupervised quantification of entity consistency between photos and text in real-world news.

My deepest gratitude goes to the defense committee, especially to my supervisor Prof. Ralph Ewerth, as well as to my friends, colleagues, and family who supported me during my PhD.

Publications

Download from DBLP

Theses

2022

  1. Müller-Budack, E. (2022). Unsupervised quantification of entity consistency between photos and text in real-world news (p. 222) [PhD thesis, Gottfried Wilhelm Leibniz Universität Hannover]. https://doi.org/https://doi.org/10.15488/11719

Conference Articles

2022

  1. Theiner, J., Gritz, W., Müller-Budack, E., Rein, R., Memmert, D., & Ewerth, R. (2022). Extraction of Positional Player Data from Broadcast Soccer Videos. IEEE/CVF Winter Conference on Applications of Computer Vision, WACV 2022, Waikoloa, HI, USA, January 3-8, 2022, 1463–1473. https://doi.org/10.1109/WACV51458.2022.00153
  2. Theiner, J., Müller-Budack, E., & Ewerth, R. (2022). Interpretable Semantic Photo Geolocation. IEEE/CVF Winter Conference on Applications of Computer Vision, WACV 2022, Waikoloa, HI, USA, January 3-8, 2022, 1474–1484. https://doi.org/10.1109/WACV51458.2022.00154
  3. Müller-Budack, E. (2022). Quantifizierung der intermodalen Konsistenz von Nachrichten. Ausgezeichnete Informatikdissertationen 2021, Lecture Notes in Informatics (LNI), Gesellschaft Für Informatik, 221–230.
  4. Cheema, G. S., Hakimov, S., Sittar, A., Müller-Budack, E., Otto, C., & Ewerth, R. (2022). MM-Claims: A Dataset for Multimodal Claim Detection in Social Media. Findings of the Association for Computational Linguistics: NAACL 2022, Seattle, WA, United States, July 10-15, 2022, 962–979. https://doi.org/10.18653/v1/2022.findings-naacl.72

2021

  1. Cheema, G. S., Hakimov, S., Müller-Budack, E., & Ewerth, R. (2021). On the Role of Images for Analyzing Claims in Social Media. International Workshop on Cross-Lingual Event-Centric Open Analytics Co-Located with The Web Conference, CLEOPATRA@WWW 2021, Virtual Event, April 12, 2021, 32–46. http://ceur-ws.org/Vol-2829/paper3.pdf
  2. Springstein, M., Müller-Budack, E., & Ewerth, R. (2021). QuTI! Quantifying Text-Image Consistency in Multimodal Documents. International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2021, Virtual Event, July 11-15, 2021, 2575–2579. https://doi.org/10.1145/3404835.3462796
  3. Müller-Budack, E., Springstein, M., Hakimov, S., Mrutzek, K., & Ewerth, R. (2021). Ontology-driven Event Type Classification in Images. IEEE Winter Conference on Applications of Computer Vision, WACV 2021, Virtual Event, January 3-8, 2021, 2927–2937. https://doi.org/10.1109/WACV48630.2021.00297
  4. Tahmasebzadeh, G., Kacupaj, E., Müller-Budack, E., Hakimov, S., Lehmann, J., & Ewerth, R. (2021). GeoWINE: Geolocation based Wiki, Image, News and Event Retrieval. International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2021, Virtual Event, July 11-15, 2021, 2565–2569. https://doi.org/10.1145/3404835.3462786
  5. Pustu-Iren, K., Müller-Budack, E., Hakimov, S., & Ewerth, R. (2021). Visualizing Copyright-Protected Video Archive Content Through Similarity Search. International Conference on Theory and Practice of Digital Libraries, TPDL 2021, Virtual Event, September 13-17, 2021, 123–127. https://doi.org/10.1007/978-3-030-86324-1_15
  6. Cheema, G. S., Hakimov, S., Müller-Budack, E., & Ewerth, R. (2021). A Fair and Comprehensive Comparison of Multimodal Tweet Sentiment Analysis Methods. Workshop on Multi-Modal Pre-Training for Multimedia Understanding Co-Located with the International Conference on Multimedia Retrieval, MMPT@ICMR 2021, Virtual Event, August 21, 2021, 37–45. https://doi.org/10.1145/3463945.3469058
  7. Springstein, M., Müller-Budack, E., & Ewerth, R. (2021). Unsupervised Training Data Generation of Handwritten Formulas using Generative Adversarial Networks with Self-Attention. Workshop on Multi-Modal Pre-Training for Multimedia Understanding Co-Located with the International Conference on Multimedia Retrieval, MMPT@ICMR 2021, Virtual Event, August 21, 2021, 46–54. https://doi.org/10.1145/3463945.3469059

2020

  1. Morris, D., Müller-Budack, E., & Ewerth, R. (2020). SlideImages: A Dataset for Educational Image Classification. European Conference on Information Retrieval, ECIR 2020, Lisbon, Portugal, April 14-17, 2020, 289–296. https://doi.org/10.1007/978-3-030-45442-5_36
  2. Müller-Budack, E., Theiner, J., Diering, S., Idahl, M., & Ewerth, R. (2020). Multimodal Analytics for Real-world News using Measures of Cross-modal Entity Consistency. International Conference on Multimedia Retrieval, ICMR 2020, Virtual Event, June 8-11, 2020, 16–25. https://doi.org/10.1145/3372278.3390670
  3. Tahmasebzadeh, G., Hakimov, S., Müller-Budack, E., & Ewerth, R. (2020). A Feature Analysis for Multimodal News Retrieval. International Workshop on Cross-Lingual Event-Centric Open Analytics Co-Located with the Extended Semantic Web Conference, CLEOPATRA@ESWC 2020), Virtual Event, June 3, 2020, 43–56. http://ceur-ws.org/Vol-2611/paper4.pdf

2019

  1. Müller-Budack, E., Theiner, J., Rein, R., & Ewerth, R. (2019). "Does 4-4-2 exist?" - An Analytics Approach to Understand and Classify Football Team Formations in Single Match Situations. International Workshop on Multimedia Content Analysis in Sports Co-Located with the ACM Multimedia Conference, MMSports@MM 2019, Nice, France, October 25, 2019, 25–33. https://doi.org/10.1145/3347318.3355527

2018

  1. Müller-Budack, E., Pustu-Iren, K., Diering, S., & Ewerth, R. (2018). Finding Person Relations in Image Data of News Collections in the Internet Archive. In E. Méndez, F. Crestani, C. Ribeiro, G. David, & J. C. Lopes (Eds.), International Conference on Theory and Practice of Digital Libraries, TPDL 2018, Porto, Portugal, September 10-13, 2018 (pp. 229–240). Springer. https://doi.org/10.1007/978-3-030-00066-0_20
  2. Müller-Budack, E., Pustu-Iren, K., & Ewerth, R. (2018). Geolocation Estimation of Photos Using a Hierarchical Model and Scene Classification. European Conference on Computer Vision, ECCV 2018, Munich, Germany, September 8-14, 2018, 575–592. https://doi.org/10.1007/978-3-030-01258-8_35

2017

  1. Müller, E., Springstein, M., & Ewerth, R. (2017). "When Was This Picture Taken?" - Image Date Estimation in the Wild. European Conference on Information Retrieval, ECIR 2017, Aberdeen, UK, April 8-13, 2017, 619–625. https://doi.org/10.1007/978-3-319-56608-5_57
  2. Ewerth, R., Springstein, M., Müller, E., Balz, A., Gehlhaar, J., Naziyok, T., Dembczynski, K., & Hüllermeier, E. (2017). Estimating relative depth in single images via rankboost. IEEE International Conference on Multimedia and Expo, ICME 2017, Hong Kong, China, July 10-14, 2017, 919–924. https://doi.org/10.1109/ICME.2017.8019434

2016

  1. Müller, E., Otto, C., & Ewerth, R. (2016). Semi-supervised Identification of Rarely Appearing Persons in Video by Correcting Weak Labels. International Conference on Multimedia Retrieval, ICMR 2016, New York, New York, USA, June 6-9, 2016, 381–384. https://doi.org/10.1145/2911996.2912073

2015

  1. Breitbarth, A., Müller, E., Kühmstedt, P., Notni, G., & Denzler, J. (2015). Phase unwrapping of fringe images for dynamic 3D measurements without additional pattern projection. Dimensional Optical Metrology and Inspection for Practical Applications IV, 9489, 8–17. https://doi.org/10.1117/12.2176822

inbook

2021

  1. Ewerth, R., Otto, C., & Müller-Budack, E. (2021). Computational Approaches for the Interpretation of Image-text Relations. In Empirical Multimodality Research: Methods, Evaluations, Implications (pp. 109–138). De Gruyter. https://doi.org/10.1515/9783110725001-005
  2. Müller-Budack, E., Pustu-Iren, K., Diering, S., Springstein, M., & Ewerth, R. (2021). Image Analytics in Web Archives. In The Past Web: Exploring Web Archives (pp. 141–151). Springer International Publishing. https://doi.org/10.1007/978-3-030-63291-5_11

Journal Articles

2021

  1. Müller-Budack, E., Theiner, J., Diering, S., Idahl, M., Hakimov, S., & Ewerth, R. (2021). Multimodal news analytics using measures of cross-modal entity and context consistency. Int. J. Multim. Inf. Retr., 10(2), 111–125. https://doi.org/10.1007/s13735-021-00207-4

2017

  1. Mühling, M., Korfhage, N., Müller, E., Otto, C., Springstein, M., Langelage, T., Veith, U., Ewerth, R., & Freisleben, B. (2017). Deep learning for content-based video retrieval in film and television production. Multim. Tools Appl., 76(21), 22169–22194. https://doi.org/10.1007/s11042-017-4962-9