Stefan Oehmcke

Stefan Oehmcke

Adjunkt


  1. Udgivet
  2. Udgivet

    Multi-scale pseudo labeling for unsupervised deep edge detection

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

    Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

  3. Udgivet

    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 flere, Song, X., Mertz, Ole, Tucker, C. J. & Fensholt, Rasmus, 2023, I: Nature Communications. 14, 10 s., 2258.

    Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

  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, 2023. 1 s.

    Publikation: KonferencebidragKonferenceabstrakt til konferenceForskning

  5. Manifold learning with iterative dimensionality photo-projection

    Luckehe, D., Oehmcke, Stefan & Kramer, O., 30 jun. 2017, 2017 International Joint Conference on Neural Networks, IJCNN 2017 - Proceedings. Institute of Electrical and Electronics Engineers Inc., s. 2555-2561 7 s. 7966167

    Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

  6. Udgivet

    Magnitude and Uncertainty Pruning Criterion for Neural Networks

    Ko, V., Oehmcke, Stefan & Gieseke, Fabian Cristian, 2019, 2019 IEEE International Conference on Big Data, Big Data. Baru, C., Huan, J., Khan, L., Hu, X. T., Ak, R., Tian, Y., Barga, R., Zaniolo, C., Lee, K. & Ye, Y. F. (red.). IEEE, s. 2317-2326 9005692. (Proceedings - 2019 IEEE International Conference on Big Data, Big Data 2019).

    Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

  7. Udgivet

    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.

    Publikation: KonferencebidragKonferenceabstrakt til konferenceForskningfagfællebedømt

  8. 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, 2022 IEEE International Conference on Computer and Communications (ICCC), Chengdu, China. IEEE, s. 1951-1957

    Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

  9. Knowledge sharing for population based neural network training

    Oehmcke, Stefan & Kramer, O., 1 jan. 2018, KI 2018: Advances in Artificial Intelligence - 41st German Conference on AI, 2018, Proceedings. Turhan, A-Y. & Trollmann, F. (red.). Springer Verlag, s. 258-269 12 s. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Bind 11117 LNAI).

    Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

  10. Input quality aware convolutional LSTM networks for virtual marine sensors

    Oehmcke, Stefan, Zielinski, O. & Kramer, O., 31 jan. 2018, I: Neurocomputing. 275, s. 2603-2615 13 s.

    Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

ID: 209373892