Institute of
Creative\Media/Technologies

Team

Eric Stumpe MSc

  • Junior Researcher Institute of Creative\Media/Technologies
  • Department of Media and Digital Technologies
Location: A - Campus-Platz 1

Study programmes

  • Digital Design (MA)
  • Creative Computing (BA)
  • Digital Media Production (MA)

Departments

  • Media and Digital Technologies

Short profile

  • Since 2021: Jr. researcher at the St. Pölten UAS
  • 2020: M.Sc. in Mechanical Engineering at the Leibniz University of Hanover
  • 2017: B.Sc. in Mechanical Engineering at the Leibniz University of Hanover

Research Interests:

  • Deep Learning
  • Multimodal Learning
  • Computer Vision
  • 3D Vision

Projects

Publications

Download Bibtex for all results
Despotovic, M., Koch, D., Thaler, S., Stumpe, E., Brunauer, W., & Zeppelzauer, M. (2024). Linking repeated subjective judgments and ConvNets for multimodal assessment of the immediate living environment. MethodsX, 12:102556. https://doi.org/10.1016/j.mex.2024.102556
Despotovic, M., Stumpe, E., Brunauer, W., Lehner, M., & Zeppelzauer, M. (2024). Predictive Assessment of the Interior Quality of Apartments Based on Multimodal Data with Variable Visual Input. SN Computer Science, 5(691), 16. https://doi.org/10.1007/s42979-024-03028-4
Sakeena, M., Stumpe, E., Despotovic, M., Koch, D., & Zeppelzauer, M. (2023). On the Robustness and Generalization Ability of Building Footprint Extraction on the example of SegNet and Mask R-CNN. Journal of Remote Sensing, 15(8). https://doi.org/10.3390/rs15082135
Despotovic, M., Koch, D., Stumpe, E., Brunauer, W., & Zeppelzauer, M. (2023). Leveraging supplementary modalities in automated real estate valuation using comparative judgments and deep learning. Journal of European Real Estate Research, 16(2), 200–219. https://doi.org/10.1108/JERER-11-2022-0036
Strebl, J., Stumpe, E., Baumhauer, T., Kernstock, L., Seidl, M., & Zeppelzauer, M. (2022). One-Pixel Instance Segmentation of Leaves. Proceedings of the Workshop of the Austrian Association for Pattern Recognition, 6. https://doi.org/10.3217/978-3-85125-954-4-06
Rind, A., Böck, J., Boucher, M., Grassinger, F., Kirchknopf, A., Stoiber, C., Stumpe, E., & Zauchinger, M. (2022). Wie können wir Daten erlebbar machen? [Demo & Poster]. Lange Nacht der Forschung 2022, St. Pölten.
Despotovic, M., Zhang, Z., Stumpe, E., & Zeppelzauer, M. (2021). Ensemble Decision-Based Annotation of Unconstrained Real Estate Images. Proceedings of the Workshop of the Austrian Association for Pattern Recognition, 2.
Stumpe, E., Despotovic, M., Zedong, Zhang, & Zeppelzauer, M. (2021). Real Estate Attribute Prediction from Multiple Visual Modalities with Missing Data. Proceedings of the Workshop of the Austrian Association for Pattern Recognition, 6. https://doi.org/10.3217/978-3-85125-869-1-06
Despotovic, M., Zedong, Zhang, Stumpe, E., & Zeppelzauer, M. (2021). Case Study: Ensemble Decision-Based Annotation of Unconstrained Real Estate Images. Proceedings of the Workshop of the Austrian Association for Pattern Recognition, 6. https://doi.org/10.3217/978-3-85125-869-1-14