Eric Müller-Budack (M.Eng.)

Research Assistant

Email: eric.muellertibeu

Phone: 0511 762-19034

Postal address: Welfengarten 1 B, 30167 Hannover

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

Eric Müller

In my research, I address the extraction of new information from the visual content of images and videos. More specifically, this includes face and object recognition as well as geolocation, date, and monocular depth estimation. In this context, I focus on various topics such as machine learning, deep learning and multimedia retrieval.

  • 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