Eric Müller-Budack (M.Eng.)

Research Assistant

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

In my research, I address visual information extraction from images and videos. More specifically, I deal with object segmentation and classification, acquisition date and geolocation estimation, face recognition, and 3-D monocular depth calculation from individual 2-D images. In this context, I focus on investigating machine learning and deep learning methods.

  • E. Müller-Budack, J. Theiner, S. Diering, M. Idahl, R. Ewerth:
    Multimodal Analytics for Real-world News using Measures of Cross-modal Entity Consistency
    In: ACM International Conference on Multimedia Retrieval (ICMR), Dublin, Ireland, 2020, accepted for publication (full paper)

  • D. Morris, E. Müller-Budack, R. Ewerth:
    SlideImages: A Dataset for Educational Image Classification
    In: European Conference on Information Retrieval (ECIR), Lisboa, Portugal, 2020, 289-296. 


  • E. Müller-Budack, J. Theiner, R. Rein, R. Ewerth:
    "Does 4-4-2 exist?" -: An Analytics Approach to Understand and Classify Football Team Formations in Single Match Situations
    In: Proceedings of the 2nd International Workshop on Multimedia Content Analysis in Sports @ACM MM, Nice, France, 2019, 25-33.

  • E. Müller-Budack, K. Pustu-Iren, R. Ewerth:
    Geolocation Estimation of Photos using a Hierarchical Model and Scene Classification
    In: Proceedings of European Conference on Computer Vision (ECCV), München, 2018, 575-592.

  • E. Müller-Budack, K. Pustu-Iren, S. Diering, R. Ewerth:
    Finding Person Relations in Image Data of News Collections in the Internet Archive
    In Proceedings of International Conference on Theory and Practice of Digital Libraries (TPDL), Porto, Portugal, 2018, 229-240. “Honorable Mention Award”

  • M. Mühling, N. Korfhage, E. Müller, C. Otto, M. Springstein, T. Langelage, U. Veith, R. Ewerth, B. Freisleben: 
    Deep learning for content-based video retrieval in film and television production. 
    In Multimedia Tools and Applications, 2017, 1-26.
  • R. Ewerth, M. Springstein, E. Müller, A. Balz, J. Gehlhaar, T. Naziyok, K. Dembczyński, E. Hüllermeier:
    Estimating Relative Depth in Single Images via Rankboost
    In: Proceedings of IEEE 18th International Conference on Multimedia & Expo (ICME), Hongkong, IEEE Press, 2017, 919-924.
  • E. Müller, M. Springstein, R. Ewerth: 
    "When was this picture taken?" – Image Date Estimation in the Wild
    In: Proceedings of 39th European Conference on Information Retrieval (ECIR), Aberdeen, UK, 2017, 619-625.
  • E. Müller, C. Otto, R. Ewerth: 
    Semi-supervised Identification of Rarely Appearing Persons in Video by Correcting Weak Labels
    In: Proceedings of ACM International Conference on Multimedia Retrieval (ICMR), New York, ACM, 2016, 381-384
  • A. Breitbarth, E. Müller, P. Kühmstedt, G. Notni, J. Denzler: 
    Phase unwrapping of fringe images for dynamic 3D measurements without additional pattern projection 
    In: SPIE Sensing Technology + Applications. International Society for Optics and Photonics, 2015, 948903-948903-10