Dr. Eric Müller-Budack

Post-Doc

Email: eric.muellertibeu

Phone: +49 511 762-19034

Postal address: Welfengarten 1 B, 30167 Hannover

Address for visitors: Lange Laube 28, 30159 Hannover, Room: 2.09

Eric Müller

Dr. Eric Müller-Budack received his Ph.D. degree (with distinction) from the Leibniz University Hannover in 2021 on the topic of "Unsupervised Quantification of Entity Consistency between Photos and Text in Real-World News" (link). His main research interests include automatic multimedia indexing, multimedia and multimodal information retrieval, and computer vision.

2023

  •  G. S. Cheema, S. Hakimov, E. Müller-Budack, C. Otto, J. A. Bateman, and R. Ewerth:
    Understanding Image-Text Relations and News Values for Multimodal News Analysis
    Frontiers in Artificial Intelligence, 6, pp. 1–29. Frontiers, 2023.
    doi.org/10.3389/frai.2023.1125533

  • J. A. Ghauri, E. Müller-Budack, and R. Ewerth:
    Classification of Visualization Types and Perspectives in Patents
    In: International Conference on Theory and Practice of Digital Libraries, TPDL 2023, Zadar, Croatia, September 26-29, 2023. Springer, 2023.
    Accepted for Publication
    https://doi.org/10.48550/arXiv.2307.10471

  • M. Springstein, M. Stamatakis, M. Plank, J. Sittel, R. Mauer, O. Bulgakowa, R. Ewerth, and E. Müller-Budack:
    TIB AV-Analytics: A Web-based Platform for Scholarly Video Analysis and Film Studies
    In: ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2023, Taipei, Taiwan, July 23-27, 2023, pp. 3195–3199. ACM, 2023.
    https://doi.org/10.1145/3539618.3591820

  • G. Tahmasebzadeh, S. Hakimov, R. Ewerth, and E. Müller-Budack:
    Multimodal Geolocation Estimation of News Photos
    In: European Conference on Information Retrieval, ECIR 2023, Dublin, Ireland, April 2-6, 2023, pp. 204–220. Springer, 2023.
    https://doi.org/10.1007/978-3-031-28238-6_14

  • G. Tahmasebzadeh, E. Müller-Budack, S. Hakimov, and R. Ewerth:
    MM-Locate-News: Multimodal Focus Location Estimation in News
    In: International Conference on MultiMedia Modeling, MMM 2023, Bergen, Norway, January 9-12, 2023, pp. 204–216. Springer, 2023.
    https://doi.org/10.1007/978-3-031-27077-2_16

  • S. Tahmasebi, S. Hakimov, R. Ewerth, and E. Müller-Budack:

    Improving Generalization for Multimodal Fake News Detection
    In: ACM International Conference on Multimedia Retrieval, ICMR 2023, Thessaloniki, Greece, June 12-15, 2023, pp. 581–585. ACM, 2023.
    https://doi.org/10.1145/3591106.3592230

  • J. Theiner, N. Nommensen, J. Rhotert, M. Springstein, E. Müller-Budack, and R. Ewerth:
    Analyzing Results of Depth Estimation Models With Monocular Criteria
    In: Explainable AI for Computer Vision Workshop co-located with the IEEE/CFV Conference on Computer Vision and Pattern Recognition, XAI4CV@CVPR 2023, Vancouver, Canada, June 19, pp. 3738-3742. IEEE/CVF, 2023.
    https://openaccess.thecvf.com/content/CVPR2023W/XAI4CV/html/Theiner_Analyzing_Results_of_Depth_Estimation_Models_With_Monocular_Criteria_CVPRW_2023_paper.html

    2022

  •  G. S. Cheema, S. Hakimov, A. Sittar, E. Müller-Budack, C. Otto, and R. Ewerth:
    MM-Claims: A Dataset for Multimodal Claim Detection in Social Media
    In: Findings of the Association for Computational Linguistics: NAACL 2022, Seattle, WA, United States, July 10-15, 2022, pp. 962–979. Association for Computational Linguistics, 2022.
    https://doi.org/10.18653/v1/2022.findings-naacl.72

  • E. Müller-Budack:

    Unsupervised quantification of entity consistency between photos and text in real-world news
    Gottfried Wilhelm Leibniz Universität Hannover, pp. 1–222, 2022.
    Passed with Distinction
    Nominated for the GI-Dissertationspreis
    Nominated for the Leibniz Dissertation Award (Top 10)
    https://doi.org/https://doi.org/10.15488/11719

  • E. Müller-Budack:

    Quantifizierung der intermodalen Konsistenz von Nachrichten
    In: Ausgezeichnete Informatikdissertationen 2021, D-22, pp. 221–230. Gesellschaft für Informatik (GI), 2022.
    https://dl.gi.de/handle/20.500.12116/39845

  • J. Theiner, W. Gritz, E. Müller-Budack, R. Rein, D. Memmert, and R. Ewerth:

    Extraction of Positional Player Data from Broadcast Soccer Videos
    In: IEEE/CVF Winter Conference on Applications of Computer Vision, WACV 2022, Waikoloa, HI, USA, January 3-8, 2022, pp. 1463–1473. IEEE, 2022.
    https://doi.org/10.1109/WACV51458.2022.00153

  • J. Theiner, E. Müller-Budack, and R. Ewerth:
    Interpretable Semantic Photo Geolocation
    In: IEEE/CVF Winter Conference on Applications of Computer Vision, WACV 2022, Waikoloa, HI, USA, January 3-8, 2022, pp. 1474–1484. IEEE, 2022.
    https://doi.org/10.1109/WACV51458.2022.00154

2021

  •  G. S. Cheema, S. Hakimov, E. Müller-Budack, and R. Ewerth:
    On the Role of Images for Analyzing Claims in Social Media
    In: International Workshop on Cross-lingual Event-centric Open Analytics co-located with The Web Conference, CLEOPATRA@WWW 2021, Virtual Event, April 12, 2021, pp. 32–46. CEUR-WS.org, 2021.
    http://ceur-ws.org/Vol-2829/paper3.pdf

  • G. S. Cheema, S. Hakimov, E. Müller-Budack, and R. Ewerth:

    A Fair and Comprehensive Comparison of Multimodal Tweet Sentiment Analysis Methods
    In: 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, pp. 37–45. ACM, 2021.
    https://doi.org/10.1145/3463945.3469058

  • R. Ewerth, C. Otto, and E. Müller-Budack:

    Computational Approaches for the Interpretation of Image-text Relations
    Empirical Multimodality Research: Methods, Evaluations, Implications, pp. 109–138. De Gruyter, 2021.
    https://doi.org/10.1515/9783110725001-005

  • E. Müller-Budack, J. Theiner, S. Diering, M. Idahl, S. Hakimov, and R. Ewerth:

    Multimodal news analytics using measures of cross-modal entity and context consistency
    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

  • E. Müller-Budack, K. Pustu-Iren, S. Diering, M. Springstein, and R. Ewerth:

    Image Analytics in Web Archives
    The Past Web: Exploring Web Archives, pp. 141–151. Springer International Publishing, 2021.

    https://doi.org/10.1007/978-3-030-63291-5_11
  • E. Müller-Budack, M. Springstein, S. Hakimov, K. Mrutzek, and R. Ewerth:

    Ontology-driven Event Type Classification in Images
    In: 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

  • K. Pustu-Iren, E. Müller-Budack, S. Hakimov, and R. Ewerth:

    Visualizing Copyright-Protected Video Archive Content Through Similarity Search
    In: International Conference on Theory and Practice of Digital Libraries, TPDL 2021, Virtual Event, September 13-17, 2021, pp. 123–127. Springer, 2021.
    https://doi.org/10.1007/978-3-030-86324-1_15

  • M. Springstein, E. Müller-Budack, and R. Ewerth:

    Unsupervised Training Data Generation of Handwritten Formulas using Generative Adversarial Networks with Self-Attention
    In: 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, pp. 46–54. ACM, 2021.
    https://doi.org/10.1145/3463945.3469059

  • M. Springstein, E. Müller-Budack, and R. Ewerth:

    QuTI! Quantifying Text-Image Consistency in Multimodal Documents
    In: International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2021, Virtual Event, July 11-15, 2021, pp. 2575–2579. ACM, 2021.
    https://doi.org/10.1145/3404835.3462796

  • G. Tahmasebzadeh, E. Kacupaj, E. Müller-Budack, S. Hakimov, J. Lehmann, and R. Ewerth:

    GeoWINE: Geolocation based Wiki, Image, News and Event Retrieval
    In: International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2021, Virtual Event, July 11-15, 2021, pp. 2565–2569. ACM, 2021.
    https://doi.org/10.1145/3404835.3462786

2020

  •  D. Morris, E. Müller-Budack, and R. Ewerth:
    SlideImages: A Dataset for Educational Image Classification
    In: European Conference on Information Retrieval, ECIR 2020, Lisbon, Portugal, April 14-17, 2020, pp. 289–296. Springer, 2020.
    https://doi.org/10.1007/978-3-030-45442-5_36

  • E. Müller-Budack, J. Theiner, S. Diering, M. Idahl, and R. Ewerth:

    Multimodal Analytics for Real-world News using Measures of Cross-modal Entity Consistency
    In: International Conference on Multimedia Retrieval, ICMR 2020, Virtual Event, June 8-11, 2020, pp. 16–25. ACM, 2020.
    Best Paper Award
    https://doi.org/10.1145/3372278.3390670

  • G. Tahmasebzadeh, S. Hakimov, E. Müller-Budack, and R. Ewerth:
    A Feature Analysis for Multimodal News Retrieval
    In: 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, pp. 43–56. CEUR-WS.org, 2020.
    Best Paper Award
    http://ceur-ws.org/Vol-2611/paper4.pdf

2019

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

2018

  • E. Müller-Budack, K. Pustu-Iren, S. Diering, and R. Ewerth:
    Finding Person Relations in Image Data of News Collections in the Internet Archive
    In: International Conference on Theory and Practice of Digital Libraries, TPDL 2018, Porto, Portugal, September 10-13, 2018, pp. 229–240. Springer, 2018.
     Honorable Mention Award
     https://doi.org/10.1007/978-3-030-00066-0_20

  • E. Müller-Budack, K. Pustu-Iren, and R. Ewerth:

    Geolocation Estimation of Photos Using a Hierarchical Model and Scene Classification
    In: 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

2017

  • R. Ewerth, M. Springstein, E. Müller, A. Balz, J. Gehlhaar, T. Naziyok, K. Dembczynski, and E. Hüllermeier:
    Estimating relative depth in single images via rankboost
    In: IEEE International Conference on Multimedia and Expo, ICME 2017, Hong Kong, China, July 10-14, 2017, pp. 919–924. IEEE Computer Society, 2017.
    https://doi.org/10.1109/ICME.2017.8019434

  • M. Mühling, N. Korfhage, E. Müller, C. Otto, M. Springstein, T. Langelage, U. Veith, R. Ewerth, and B. Freisleben:

    Deep learning for content-based video retrieval in film and television production
    Multimedia Tools and Applications, 76(21), pp. 22169–22194, 2017.
    https://doi.org/10.1007/s11042-017-4962-9

  • E. Müller, M. Springstein, and R. Ewerth:

    "When Was This Picture Taken?" - Image Date Estimation in the Wild
    In: European Conference on Information Retrieval, ECIR 2017, Aberdeen, UK, April 8-13, 2017, pp. 619–625, 2017.
    https://doi.org/10.1007/978-3-319-56608-5_57

2016

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

2015

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

     

 

 

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