Stefan Oehmcke
Assistant Professor
- 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 journal › Journal article › Research › peer-review
- 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. 1951-1957Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- 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. 52-60Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
Spatio-temporal wind power prediction using recurrent neural networks
Woon, W. L., Oehmcke, Stefan & Kramer, O., 1 Jan 2017, Neural Information Processing - 24th International Conference, ICONIP 2017, Proceedings. Zhao, D., Li, Y., El-Alfy, E-S. M., Liu, D. & Xie, S. (eds.). Springer Verlag, p. 556-563 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 10638 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
Plant Structure and Carbon Storage Assessment Utilizing Drone-Borne Lidar and Deep Learning Technologies in a Danish Agricultural Expanse.
Trepekli, Aikaterini, Caballer Revenga, Jaime, Oehmcke, Stefan, Gieseke, Fabian Cristian, Jensen, Rasmus & Friborg, Thomas, 2021. 12 p.Research output: Contribution to conference › Paper › Research
- Published
Both sides of the story: comparing student-level data on reading performance from administrative registers to application generated data from a reading app
Sortkær, B., Smith, E., Reimer, D., Oehmcke, Stefan & Andersen, I. G., 2021, In: EPJ Data Science. 10, 1, 21 p., 44.Research output: Contribution to journal › Journal article › Research › peer-review
- Published
Evolution of Stacked Autoencoders
Silhan, T., Oehmcke, Stefan & Kramer, O., 2019, 2019 IEEE Congress on Evolutionary Computation, CEC 2019 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 823-830 8 p. 8790182Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
Seasonal-Trend Time Series Decomposition on Graphics Processing Units
Serykh, Dmitry, Oehmcke, Stefan, Oancea, Cosmin Eugen, Masiliunas, D., Verbesselt, J., Cheng, Yan, Horion, Stéphanie, Gieseke, F. & Hinnerskov, Nikolaj Hey, 2023, Proceedings - 2023 IEEE International Conference on Big Data, BigData 2023. He, J., Palpanas, T., Hu, X., Cuzzocrea, A., Dou, D., Slezak, D., Wang, W., Gruca, A., Lin, J. C-W. & Agrawal, R. (eds.). IEEE, p. 5914-5923 10 p.Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
Prediction of above ground biomass and C-stocks based on UAV-LiDAR,multispectral imagery and machine learning methods.
Caballer Revenga, Jaime, Trepekli, Aikaterini, Oehmcke, Stefan, Gieseke, Fabian Cristian, Jensen, Rasmus & Friborg, Thomas, 2021. 1 p.Research output: Contribution to conference › Conference abstract for conference › Research › peer-review
- Published
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, In: Remote Sensing. 14, 16, 22 p., 3912.Research output: Contribution to journal › Journal article › Research › peer-review
ID: 209373892
Most downloads
-
119
downloads
Creating cloud-free satellite imagery from image time series with deep learning
Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
Published -
106
downloads
Deep learning enables image-based tree counting, crown segmentation and height prediction at national scale
Research output: Contribution to journal › Journal article › Research › peer-review
Published -
69
downloads
Above-Ground Biomass Prediction for Croplands at a Sub-Meter Resolution Using UAV–LiDAR and Machine Learning Methods
Research output: Contribution to journal › Journal article › Research › peer-review
Published