Theses Zambanini S. “Insensitive Image Comparison in the Absence of Training Data”, PhD Thesis, Vienna University of Technology, October 2014. (pdf) Zambanini S., “Automatic Assessment of Lesion Development in Hemangioma Follow-Up Images”, Master Thesis, Vienna University of Technology, 2007.(pdf) Book Chapters Kampel M., Zambanini S., “Shape Analysis and Geometric Modelling” in Mathematics and Archaeology, Juan A. … Continue reading Sebastian Zambanini Publications →

2013 [13] A. Zweng and M. Kampel – "Introducing a Inter-frame Relational Feature Model for Pedestrian Detection", Scandinavian Conferences on Image Analysis (SCIA 2013), pp.225-235, Espoo, Finnland, June 2013. [12] A. Zweng, T. Rittler and M. Kampel – "A Flexible Relational Feature Model for Fall Detection", 10th International Conference on Signal Processing, Pattern Recognition and … Continue reading Andreas Zweng Publications →

2018 Keglevic, M., Fiel, S. & Sablatnig, R. Learning Features for Writer Retrieval and Identification using Triplet CNNs, 16th International Conference on Frontiers in Handwriting Recognition (ICFHR 2018), 2018, 211-216 reposiTUm Scheidl, H., Fiel, S. & Sablatnig, R. Word Beam Search: A Connectionist Temporal Classification Decoding Algorithm, 16th International Conference on Frontiers in Handwriting Recognition … Continue reading Stefan Fiel Publications →

Markus Diem 2016 [39] Michael Reiter, Paolo Rota, Florian Kleber, Markus Diem, Stefanie Groeneveld-Krentz, and Michael Dworzak, Clustering of Cell Populations in Flow Cytometry Data using a Combination of Gaussian Mixtures. Pattern Recognition, 60, 1029-1040, 2016 [38] Markus Diem, Fabian Hollaus, and Robert Sablatnig. MSIO: MultiSpectral Document Image BinarizatIOn. In Proceedings of the 12th IAPR … Continue reading Markus Diem Publications →