Team

Muntaha Sakeena

  • Junior Researcher
    Forschungsgruppe Media Computing
    Institut für Creative\Media/Technologies
  • Department Medien und Digitale Technologien
Arbeitsplatz: D - Heinrich Schneidmadl-Straße 15
T: +43/2742/313 228 594

Departments

  • Medien und Digitale Technologien

Kurzprofil

  • Since 2017. Junior Researcher at FHSTP Austria.
  • 2016. Completed Masters in Computer Engineering, NUST, Pakistan
  • 2012. Completed Becholers in Computer System engineering, NFCIET, Pakistan
  • research focus includes machine learning, image processing, pattern recognition and computer vision.

Projekte

Publikationen

Despotovic, M., Koch, D., Leiber, S., Döller, M., Sakeena, M., & Zeppelzauer, M. (2019). Prediction and Analysis of Heating Energy Demand and Year of Construction for Detached Houses by Computer Vision. Energy & Buildings, 193, 29–35. https://doi.org/10.1016/j.enbuild.2019.03.036
Sakeena, Muntaha, & Zeppelzauer, Matthias. (2019). Combining Deep Learning and Variational Level Sets for Segmentation of Buildings. In Proceedings of ARW & OAGM Workshop 2019 (p. 2). Steyr, Austria. https://doi.org/10.3217/978-3-85125-663-5-42
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., 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
Koch, D., Despotovic, M., Sascha, L., Sakeena, M., Döller, M., & Zeppelzauer, M. (2018). Real Estate Image Analysis - A Literature Review. Real Estate Economics Journal, to Appear.
Koch, D., Despotovic, M., Sakeena, M., Döller, M., & Zeppelzauer, M. (2018). Visual Estimation of Building Condition with Patch-level ConvNets. Yokohama, Japan.
Despotovic, M., Sakeena, M., Koch, D., Döller, M., & Zeppelzauer, M. (2017). Predicting Heating Energy Demand by Computer Vision. Computer Science - Research and Development, 33, 231–232. https://doi.org/10.1007/s00450-017-0363-6