Matthias Springstein (M.Eng.)

Research Assistant

Email: matthias.springsteintibeu

Phone: 0511 762-19916

Postal address: Welfengarten 1 B, 30167 Hannover

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

Matthias Springstein

My research focuses on web-supervised learning regarding visual concepts and incremental learning approaches. This includes the endless exploration of knowledge from user-generated content such as Flickr and YouTube. In general, I am interested in deep learning ,concept detection and monocular depth estimation.

  • 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, zur Veröffentlichung angenommen

  • 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
    https://link.springer.com/chapter/10.1007/978-3-319-56608-5_57

  • R. Ewerth, M. Springstein, L.A. Phan-Vogtmann, J. Schütze: 
    "Are Machines Better in Image Tagging?" – A User Study Adds to the Puzzle
    In: Proceedings of 39th European Conference on Information Retrieval (ECIR), Aberdeen, UK, 2017
    https://link.springer.com/chapter/10.1007/978-3-319-56608-5_15
  • M. Springstein, R. Ewerth: 
    On the Effects of Spam Filtering and Incremental Learning for Web-supervised Visual Concept Classification
    In: Proceedings of ACM International Conference on Multimedia Retrieval (ICMR), New York, ACM, 2016, 377-380
    http://dl.acm.org/citation.cfm?id=2912072