PRE-PRINT
Turkoglu, Mehmet Ozgur, et al. "Reuse or Relearn? A Spectral View of Earth Observation Foundation Models." arXiv preprint arXiv:2609.32756 (2026).
JOURNAL PUBLICATION
Mühlematter, D. J., Halbheer, M., Becker, A., Narnhofer, D., Aasen, H., Schindler, K., & Turkoglu, M. O. "LoRA-ensemble: Efficient uncertainty modelling for self-attention networks." Transactions on Machine Learning Research, 2026
Turkoglu, M. O., D'Aronco, S., Wegner, J., & Schindler, K. "Gating revisited: Deep multi-layer rnns that can be trained." IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021.
Turkoglu, M. O., D'Aronco, S., Perich, G., Liebisch, F., Streit, C., Schindler, K., & Wegner, J. D. "Crop mapping from image time series: deep learning with multi-scale label hierarchies." Remote Sensing of Environment, 2021.
Turkoglu*, M. O., Metzger*, N., D'Aronco, S., Wegner, J. D., & Schindler, K. "Crop classification under varying cloud cover with neural ordinary differential equations." IEEE Transactions on Geoscience and Remote Sensing, 2021. (*Equal contribution)
Perich, Gregor, Mehmet Ozgur Turkoglu, Lukas Valentin Graf, Jan Dirk Wegner, Helge Aasen, Achim Walter, and Frank Liebisch. "Pixel-based yield mapping and prediction from Sentinel-2 using spectral indices and neural networks." Field Crops Research 292 (2023): 108824.
Nando Metzger, Mehmet Ozgur Turkoglu, Rodrigo Caye Daudt Jan Dirk Wegner, Konrad Schindler. "Urban Change Forecasting from Satellite Images." Journal of Photogrammetry, Remote Sensing and Geoinformation Science (PFG), 2023.
CONFERENCE PUBLICATION
Turkoglu, M. O., Mühlematter, D. J., Becker, A., Schindler, K., & Aasen, H. "Quantifying the Uncertainty of Foundation Models with Singular Value Ensembles." International Conference on Machine Learning (ICML), 2026.
Turkoglu, Mehmet Ozgur, Alexander Becker, Hüseyin Anil Gündüz, Mina Rezaei, Bernd Bischl, Rodrigo Caye Daudt, Stefano D'Aronco, Jan Dirk Wegner, and Konrad Schindler. "FiLM-Ensemble: Probabilistic Deep Learning via Feature-wise Linear Modulation." Neural Information Processing Systems (NeurIPS), 2022.
Turkoglu, M. O., Brachmann, E., Schindler, K., Brostow, G., & Monszpart, A. "Visual Camera Re-Localization Using Graph Neural Networks and Relative Pose Supervision." IEEE International Conference on 3D Vision (3DV), 2021.
Turkoglu, Mehmet Ozgur, William Thong, Luuk Spreeuwers, and Berkay Kicanaoglu. "A layer-based sequential framework for scene generation with gans." AAAI Conference on Artificial Intelligence, 2019.
Turkoglu, Mehmet Ozgur, Frank B. Ter Haar, and Nanda van der Stap. "Incremental learning-based adaptive object recognition for mobile robots." IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2018.
Turkoglu, Mehmet Ozgur, and Tugce Arican. "Texture-based eyebrow recognition." IEEE International Conference of the Biometrics Special Interest Group (BIOSIG), 2017.
PATENT
Visual Camera Re-Localization using Graph Neural Networks and Relative Pose Supervision. MÖ Türkoglu, A Monszpart, E Brachmann, GJ Brostow - US Patent App. 17/546,375, 2022.
BOOK CHAPTER
Turkoglu, M.O., D’ARONCO, S., Schindler, K. and Wegner, J.D., 2024. Hierarchical Crop Mapping from Satellite Image Sequences with Recurrent Neural Networks. Multitemporal Earth Observation Image Analysis: Remote Sensing Image Sequences, p.41.
THESIS
Turkoglu, M. O., "Deep learning for vegetation classification from optical satellite image time series", ETH Zurich, 2023.
Turkoglu, M. O., "Compositional Scene Generation using Generative Adversarial Networks", University of Twente, 2018.