Matthias Springstein (M.Eng.)

My research focuses on web-supervised learning regarding visual concepts and incremental learning approaches. The objective is to minimize efforts for manually labeling training data which might also enable and improve domain adaptation for visual concept models. This requires, for instance, automatic acquisition of visual information from user-generated content such as Flickr and YouTube. In general, I am interested in deep learning, concept detection, and training data augmentation.

• C. Otto, M. Springstein, A. Anand, R. Ewerth:
  Characterization and Classification of Semantic Image-Text Relations
  In: International Journal on Multimedia Information Retrieval, Special Issue (Top papers of ACM ICMR 2019), Vol. 9, Issue 1, 2020, 31–45

  https://doi.org/10.1007/s13735-019-00187-6

• C. Otto, M. Springstein, A. Anand, R. Ewerth:
  Understanding, Categorizing and Predicting Semantic Image-Text Relations 
  In: Proceedings of the 2019 on International Conference on Multimedia Retrieval (ICMR), Ottawa, Canada, 2019, 168-176. Best Paper Award

  https://dl.acm.org/citation.cfm?id=3325049

• M. Springstein, H. H. Nguyen, A. Hoppe, R. Ewerth:  
  TIB-arXiv: An Alternative Search Portal for the arXiv Pre-print Server
  In Proceedings of International Conference on Theory and Practice of Digital Libraries (TPDL), Porto, Portugal, 2018, 295-298.

  https://arxiv.org/abs/1806.06796

• 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. 
  https://link.springer.com/article/10.1007/s11042-017-4962-9
   
• 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.
  https://doi.org/10.1109/ICME.2017.8019434
   
• 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.
  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, 186-198.
  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