Team

FH-Prof. Dipl.-Ing. Mag. Dr. Matthias Zeppelzauer

  • Deputy Head of
    Media Computing Research Group
    Institute of Creative\Media/Technologies
  • Senior Researcher
    Media Computing Research Group
    Institute of Creative\Media/Technologies
  • Department of Media and Digital Technologies
Location: D - Heinrich Schneidmadl-Straße 15
P: +43/2742/313 228 652

Study programmes

  • Media Technology (BA)
  • Smart Engineering (BA)

Departments

  • Media and Digital Technologies

Short profile

  • Since 2013 Senior Researcher at the Media Computing Group, Institute of Creative\Media/Technologies, St. Poelten University of Applied Sciences
  • 2011 – 2015 Postdoctoral researcher at the Interactive Media Systems Group, Vienna University of Technology, Austria
  • 2011 PhD degree in Computer Science from Vienna University of Technology, Austria, Thesis title: Syntactic and Semantic Concepts in Audio-Visual Media, with highest distinction.
  • 2005 – 2011 Predoctoral researcher at the Interactive Media Systems Group, Vienna University of Technology, Austria
  • 2006 Master of Science in Business Informatics from Vienna University of Technology, Austria, with highest distinction.
  • 2005 Master of Science in Computer Graphics & Digital Image Processing from Vienna University of Technology, Austria, with highest distinction.

Selected Publications

Zielinski, B., Lipinski, Michal, Juda, M., Zeppelzauer, M., & Dlotko, Pawel. (2019). Persistence Bag-of-Words for Topological Data Analysis. In Proceedings of the International Joint Conference on Artificial Intelligence 2019 (p. 6). Macao, China.
Horst, F., Slijepcevic, D., Lapuschkin, S., Raberger, A.-M., Zeppelzauer, M., Samek, W., … Horsak, B. (2019). On the Understanding and Interpretation of Machine Learning Predictions in Clinical Gait Analysis Using Explainable Artificial Intelligence. Frontiers in Bioengineering and Biotechnology, Submitted.
Despotovic, M., Koch, D., Leiber, S., Döller, M., Sakeena, M., & Zeppelzauer, M. (2019). Prediction and analysis of heating energy demand for detached houses by computer vision. Energy & Buildings, 193, 29–35. https://doi.org/10.1016/j.enbuild.2019.03.036
Bernard, Jürgen, Hutter, M., Sedlmair, M., Zeppelzauer, Matthias, & Munzner, Tamara. (2019). A taxonomy of property measures to support the explainability of the interactive data labeling process. ACM Transactions on Interactive Intelligent Systems (TiiS), Submitted.
Horsak, B., Slijepcevic, D., Raberger, A.-M., Schwab, C., & Zeppelzauer, M. (2019). GaitRec: A large-scale walking GRF dataset for a healthy cohort and patients with musculo-skeletal impairments. Scientific Data, Submitted.
Wagner, M., Slijepcevic, D., Horsak, B., Rind, A., Zeppelzauer, M., & Aigner, W. (2018). KAVAGait: Knowledge-Assisted Visual Analytics for Clinical Gait Analysis. IEEE Transactions on Visualization and Computer Graphics (TVCG), 25(3), 1528–1542. https://doi.org/10.1109/TVCG.2017.2785271
Slijepcevic, D., Zeppelzauer, M., Raberger, A.-M., Schwab, C., Schuller, M., Baca, A., … Horsak, B. (2018). Automatic Classification of Functional Gait Disorders. IEEE Journal of Biomedical and Health Informatics, 5(22), 1653–1661. https://doi.org/10.1109/JBHI.2017.2785682
Bernard, J., Zeppelzauer, M., Lehmann, M., Müller, M., & Sedlmair, M. (2018). Towards User-Centered Active Learning Algorithms. In Computer Graphics Forum (Vol. 37, pp. 121–132). Brno, Czech Republic. https://doi.org/10.1111/cgf.13406
Zeppelzauer, M., Despotovic, M., Sakeena, M., Koch, D., & Döller, M. (2018). Automatic Prediction of Building Age from Photographs. In Proceedings of the ACM International Conference on Multimedia Retrieval (ICMR "18) (pp. 126–134). Yokohama, Japan: ACM Press. https://doi.org/10.1145/3206025.3206060
Bernard, J., Zeppelzauer, M., Sedlmair, M., & Aigner, W. (2018). VIAL – A Unified Process for Visual-Interactive Labeling. The Visual Computer, 34(1189), 16. https://doi.org/10.1007/s00371-018-1500-3
Zeppelzauer, M., Ringot, A., & Taurer, F. (2018). SoniControl - A Mobile Ultrasonic Firewall. In Proceedings of the ACM International Conference on Multimedia. Seoul, South Korea: ACM Press. https://doi.org/10.1145/3240508.3241393
Koch, D., Despotovic, M., Sakeena, M., Döller, M., & Zeppelzauer, M. (2018). Visual Estimation of Building Condition with Patch-level ConvNets. In Proceedings of the 2018 ACM Workshop on Multimedia for Real Estate Tech - RETech"18 (pp. 12–17). Yokohama, Japan: ACM Press. https://doi.org/10.1145/3210499.3210526
Zeppelzauer, M., Zielinski, B., Juda, M., & Seidl, M. (2018). A Study on Topological Descriptors for the Analysis of 3D Surface Texture. Journal on Computer Vision and Image Understanding (CVIU), 167, 74–88. https://doi.org/10.1016/j.cviu.2017.10.012
Bernard, Jürgen, Hutter, M., Zeppelzauer, M., Fellner, D., & Sedlmair, M. (2017). Comparing Visual-Interactive Labeling with Active Learning: An Experimental Study. IEEE Transactions on Visualization and Computer Graphics (TVCG), 24(1). https://doi.org/10.1109/TVCG.2017.2744818
Zeppelzauer, M., & Schopfhauser, D. (2016). Multimodal classification of events in social media. Image and Vision Computing. https://doi.org/http://dx.doi.org/10.1016/j.imavis.2015.12.004
Zaharieva, M., Del Fabro, M., & Zeppelzauer, M. (2015). Cross-Platform Social Event Detection. IEEE Multimedia, 22(3), 14. https://doi.org/10.1109/MMUL.2015.31
Salvador, A., Zeppelzauer, M., Manchón-Vizuente, D., Calafell, A., & Giró-i-Nieto, X. (2015). Cultural Event Recognition with Visual ConvNets and Temporal Models. In Proceedings of the CVPR Workshop ChaLearn Looking at People 2015. Boston, Massachusetts, United States: IEEE.
Zaharieva, M., Zeppelzauer, M., Del Fabro, M., & Schopfhauser, D. (2015). Social Event Mining in Large Photo Collections. In Proceedings of the International Conference on Multimedia Retrieval. Shanghai, China: ACM Press.
Zeppelzauer, M. (2013). Automated detection of elephants in wildlife video. EURASIP Journal on Image and Video Processing, 2013(1), 46. https://doi.org/10.1186/1687-5281-2013-46
Stöger, A., Heimann, G., Zeppelzauer, M., Ganswindt, A., Hensman, S., & Charlton, B. (2012). Visualizing Sound Emission of Elephant Vocalizations: Evidence for Two Rumble Production Types. Plos One, 7(11:e48907).
Mitrović, D., Zeppelzauer, M., & Breiteneder, C. (2010). Features for Content-Based Audio Retrieval. In Advances in Computers (Vol. 78, pp. 71–150). Burlington: Academic Press.

Projects