Stefan Oehmcke

Stefan Oehmcke

Assistant Professor


  1. 2023
  2. Published
  3. Published

    LR-CSNet: Low-Rank Deep Unfolding Network for Image Compressive Sensing

    Zhang, T., Li, Lei, Igel, Christian, Oehmcke, Stefan, Gieseke, F. & Peng, Z., 2023, IEEE International Conference on Computer and Communications (ICCC). IEEE, 7 p.

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  4. Published

    Mapping and characterising tree mortality in California at individual tree level using deep learning

    Cheng, Yan, Oehmcke, Stefan, Brandt, Martin Stefan, Das, A., Rosenthal, L., Saatchi, S., Wagner, F., Verbruggen, Wim, Vrieling, A., Beier, Claus & Horion, Stéphanie, 2023. 1 p.

    Research output: Contribution to conferenceConference abstract for conferenceResearch

  5. Published

    More than one quarter of Africa's tree cover is found outside areas previously classified as forest

    Reiner, Florian, Brandt, Martin Stefan, Tong, Xiaoye, Skole, D., Kariryaa, Ankit, Ciais, P., Davies, A., Hiernaux, P., Chave, J., Mugabowindekwe, Maurice, Igel, Christian, Oehmcke, Stefan, Gieseke, Fabian Cristian, Li, Sizhuo, Liu, Siyu, Saatchi, S., Boucher, P., Singh, J., Taugourdeau, S., Dendoncker, M., Song, X., Mertz, Ole, Tucker, C. J. & Fensholt, Rasmus, 2023, In: Nature Communications. 14, 10 p., 2258.

    Research output: Contribution to journalJournal articlepeer-review

  6. Accepted/In press

    Remember to Correct the Bias When Using Deep Learning for Regression!

    Igel, Christian & Oehmcke, Stefan, 2023, (Accepted/In press) In: KI - Kunstliche Intelligenz. 8 p.

    Research output: Contribution to journalJournal articlepeer-review

  7. Published

ID: 209373892