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Technical University of Munich

Konrad Heidler

Tel: 
Room:  
E-mail:k.heidler(at)tum.de

Curriculum Vitae

  • 04/2020 – present: Research Associate, TUM-SiPEO
  • 09/2019 – 12/2019: Visiting Researcher,University of Exeter
  • 05/2018 – 02/2019: Research Intern – Remote Sensing for Drought Detection, Itestra, Munich
  • 10/2017 – 03/2020: MSc. Mathematics in Data Science, TU Munich
  • 10/2014 – 09/2017: BSc. Mathematics, TU Munich

Research Interests

  • Cold & Polar Regions: Glaciers, Permafrost, Sea Ice, ...
  • Visual and Probabilistic Reasoning
  • Self-supervised Learning

Key Publications

  • Heidler, K., Mou, L., Baumhoer, C.,  Dietz, A., & Zhu, X. X. (2021). HED-UNet: Combined segmentation and  edge detection for monitoring the Antarctic coastline. IEEE Transactions on Geoscience and Remote Sensing, 60
  • Hua, Y., Mou, L., Lin, J., Heidler,  K., & Zhu, X. X. (2021). Aerial scene understanding in the wild:  Multi-scene recognition via prototype-based memory networks. ISPRS Journal of Photogrammetry and Remote Sensing, 177
  • Nitze, I., Heidler, K., Barth, S.,  & Grosse, G. (2021). Developing and Testing a Deep Learning Approach for Mapping Retrogressive Thaw Slumps. Remote Sensing, 13(21)
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