Stefan Oehmcke

Stefan Oehmcke

Adjunkt

Medlem af:

    ORCID: 0000-0002-0240-1559

    Udgivelsesår:
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    1. 2023
    2. Udgivet

      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, F., Nord-Larsen, Thomas, Oehmcke, Stefan, Carlsen, Ask Holm, Junttila, S., Tong, Xiaoye, d’Aspremont, A. & Ciais, P., 9 mar. 2023, I: PNAS Nexus.

      Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

    3. Udgivet

      Satellite-based continental-scale inventory of European wetland types at 10m spatial resolution

      Kovács, Gyula Mate, Oehmcke, Stefan, Horion, Stéphanie, Gominski, Dimitri Pierre Johannes, Tong, Xiaoye & Fensholt, Rasmus, 25 feb. 2023

      Publikation: Andet › Andet bidrag › Forskning

    4. Udgivet

      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, 22 feb. 2023.

      Publikation: Konferencebidrag › Konferenceabstrakt til konference › Forskning

    5. Udgivet

      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 s.

      Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

    6. Udgivet

      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, I: Nature Communications. 14, 1, 10 s., 2258.

      Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

    7. Accepteret/In press

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

      Igel, Christian & Oehmcke, Stefan, 2023, (Accepteret/In press) I: KI - Kunstliche Intelligenz. 8 s.

      Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

    8. 2022
    9. Udgivet

      Deep learning based 3D point cloud regression for estimating forest biomass

      Oehmcke, Stefan, Li, Lei, Caballer Revenga, Jaime, Nord-Larsen, Thomas, Trepekli, Aikaterini, Gieseke, F. & Igel, Christian, 1 nov. 2022, 30th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, ACM SIGSPATIAL GIS 2022. Renz, M., Sarwat, M., Nascimento, M. A., Shekhar, S. & Xie, X. (red.). Association for Computing Machinery, Inc., s. 1-4 38

      Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

    10. Udgivet

      Above-Ground Biomass Prediction for Croplands at a Sub-Meter Resolution Using UAV–LiDAR and Machine Learning Methods

      Caballer Revenga, Jaime, Trepekli, Aikaterini, Oehmcke, Stefan, Jensen, Rasmus, Li, Lei, Igel, Christian, Gieseke, Fabian Cristian & Friborg, Thomas, 2022, I: Remote Sensing. 14, 16, 22 s., 3912.

      Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

    11. Udgivet

      Ensemble Learning for Semantic Segmentation of Ancient Maya Architectures

      Hellweg, Thorben, Oehmcke, Stefan, Kariryaa, Ankit, Gieseke, Fabian Cristian & Igel, Christian, 2022, Discover the Mysteries of the Maya: Selected Contributions from the Machine Learning Challenge & the Discovery Challenge Workshop, ECML PKDD 2021. Kocev, D., Simidjievski, N., Kostovska, A., Dimitrovski, I. & Kokalj, Ž. (red.). Ljubljana: Jožef Stefan Institute , s. 13-19 7 s.

      Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

    12. Udgivet

      Input Selection for Bandwidth-Limited Neural Network Inference

      Oehmcke, Stefan & Gieseke, Fabian Cristian, 2022, Proceedings of the 2022 SIAM International Conference on Data Mining, SDM 2022. SIAM, s. 280-288 9 s.

      Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

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    ID: 209373892