Stefan Oehmcke

Stefan Oehmcke

Assistant Professor


  1. 2023
  2. Published

    Deep learning enables image-based tree counting, crown segmentation and height prediction at national scale

    Li, Sizhuo, Brandt, Martin Stefan, Fensholt, Rasmus, Kariryaa, Ankit, Igel, Christian, Gieseke, Fabian Cristian, Nord-Larsen, Thomas, Oehmcke, Stefan, Carlsen, Ask Holm, Junttila, S., Tong, Xiaoye, d’Aspremont, A. & Ciais, P., 2023, In: PNAS Nexus. 2, 4, 16 p., pgad076.

    Research output: Contribution to journalJournal articleResearchpeer-review

  3. Published

    High nitrous oxide emissions from temporary flooded depressions within croplands

    Elberling, Bo, Kovács, Gyula Mate, Hansen, Hans Frederik Engvej, Fensholt, Rasmus, Ambus, Per Lennart, Tong, Xiaoye, Gominski, Dimitri Pierre Johannes, Mueller, Carsten W., Poultney, D. M. N. & Oehmcke, Stefan, 2023, In: Communications Earth and Environment. 4, 1, 9 p., 463.

    Research output: Contribution to journalJournal articleResearchpeer-review

  4. 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, 2022 IEEE International Conference on Computer and Communications (ICCC), Chengdu, China. IEEE, p. 1951-1957

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

  5. Published

    MAPPING TREE MORTALITY IN CALIFORNIA FROM VERY HIGH RESOLUTION IMAGERY USING DEEP LEARNING

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

    Research output: Contribution to conferenceConference abstract for conferenceResearchpeer-review

  6. 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

  7. Published

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

    Reiner, F., Brandt, M., Tong, X., Skole, D., Kariryaa, A., Ciais, P., Davies, A., Hiernaux, P., Chave, J., Mugabowindekwe, M., Igel, C., Oehmcke, S., Gieseke, F., Li, S., Liu, S., Saatchi, S., Boucher, P., Singh, J., Taugourdeau, S., Dendoncker, M. & 4 others, Song, X., Mertz, Ole, Tucker, C. J. & Fensholt, Rasmus, 2023, In: Nature Communications. 14, 10 p., 2258.

    Research output: Contribution to journalJournal articleResearchpeer-review

  8. Published

    Multi-scale pseudo labeling for unsupervised deep edge detection

    Zhou, C., Yuan, C., Wang, H., Li, Lei, Oehmcke, Stefan, Liu, J. & Peng, J., 2023, In: Knowledge-Based Systems. 280, 15 p., 111057.

    Research output: Contribution to journalJournal articleResearchpeer-review

  9. Published

    Predicting urban tree cover from incomplete point labels and limited background information

    Zhang, Hui, Kariryaa, Ankit, Guthula, Venkanna Babu, Igel, Christian & Oehmcke, Stefan, 2023, Urban-AI 2023 - Proceedings of the 1st ACM SIGSPATIAL International Workshop on Advances in Urban-AI. Omitaomu, O. A., Mostafavi, A. & Liu, Y. (eds.). Association for Computing Machinery, Inc., p. 52-60

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

  10. Published

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

    Igel, Christian & Oehmcke, Stefan, 2023, In: KI - Kunstliche Intelligenz. 37, 1, p. 33-40

    Research output: Contribution to journalJournal articleResearchpeer-review

  11. Published
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ID: 209373892