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Mehmet Ozgur Turkoglu
Mehmet Ozgur Turkoglu
Postdoc, Agroscope; PhD, ETH Zurich
Bestätigte E-Mail-Adresse bei geod.baug.ethz.ch - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Crop mapping from image time series: Deep learning with multi-scale label hierarchies
MO Turkoglu, S D'Aronco, G Perich, F Liebisch, C Streit, K Schindler, ...
Remote Sensing of Environment 264, 112603, 2021
1402021
Gating revisited: Deep multi-layer RNNs that can be trained
MO Turkoglu, S D'Aronco, JD Wegner, K Schindler
IEEE Transactions on Pattern Analysis and Machine Intelligence 44 (8), 4081-4092, 2021
832021
A Layer-Based Sequential Framework for Scene Generation with GANs
MO Turkoglu, W Thong, L Spreeuwers, B Kicanaoglu
The Thirty-Third AAAI Conference on Artificial Intelligence, 2019
452019
Visual camera re-localization using graph neural networks and relative pose supervision
MO Turkoglu, E Brachmann, K Schindler, GJ Brostow, A Monszpart
2021 International Conference on 3D Vision (3DV), 145-155, 2021
422021
Pixel-based yield mapping and prediction from Sentinel-2 using spectral indices and neural networks
G Perich, MO Turkoglu, LV Graf, JD Wegner, H Aasen, A Walter, ...
Field Crops Research 292, 108824, 2023
342023
Crop classification under varying cloud cover with neural ordinary differential equations
MO Turkoglu*, N Metzger*, S D'Aronco, JD Wegner, K Schindler
IEEE Transactions on Geoscience and Remote Sensing, 2021
312021
FiLM-Ensemble: Probabilistic Deep Learning via Feature-wise Linear Modulation
MO Turkoglu, A Becker, HA Gündüz, M Rezaei, B Bischl, RC Daudt, ...
Advances in Neural Information Processing Systems (NeurIPS), 2022
302022
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
82022
Incremental learning-based adaptive object recognition for mobile robots
MO Turkoglu, FB Ter Haar, N van der Stap
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS …, 2018
82018
Texture-based eyebrow recognition
MO Turkoglu, T Arican
IEEE International Conference of the Biometrics Special Interest Group …, 2017
62017
LoRA-Ensemble: Efficient Uncertainty Modelling for Self-attention Networks
M Halbheer, DJ Mühlematter, A Becker, D Narnhofer, H Aasen, ...
arXiv preprint arXiv:2405.14438, 2024
12024
Country-wide Cross-Year Crop Mapping from Optical Satellite Image Time Series
MO Turkoglu, H Aasen, K Schindler, JD Wegner
EGU24, 2024
12024
Urban Change Forecasting from Satellite Images
N Metzger, MÖ Türkoglu, RC Daudt, JD Wegner, K Schindler
PFG–Journal of Photogrammetry, Remote Sensing and Geoinformation Science 91 …, 2023
12023
Cross-Year Crop Mapping with Thermal Calendar from Optical Satellite Image Time Series
MO Turkoglu, H Aasen
EGU25, 2025
2025
Country-wide Cross-Year Crop Mapping from Optical Satellite Image Time Series
M Ozgur Turkoglu, H Aasen, K Schindler, JD Wegner
EGU General Assembly Conference Abstracts, 6031, 2024
2024
Hierarchical Crop Mapping from Satellite Image Sequences with Recurrent Neural Networks
MO TURKOGLU, S D’ARONCO, K Schindler, JD Wegner
Multitemporal Earth Observation Image Analysis: Remote Sensing Image …, 2024
2024
Deep learning for vegetation classification from optical satellite image time series
MO Turkoglu
https://doi.org/10.3929/ethz-b-000637322, 2023
2023
Pixel-based yield mapping and prediction from Sentinel-2 using spectral indices and neural networks: Dataset and code for the manuscript
G Perich, MO Turkoglu, LV Graf, JD Wegner, H Aasen, A Walter, ...
ETH Zurich, 2022
2022
FiLM-Ensemble: Probabilistic Deep Learning via Feature-wise Linear Modulation
M Ozgur Turkoglu, A Becker, HA Gündüz, M Rezaei, B Bischl, ...
arXiv e-prints, arXiv: 2206.00050, 2022
2022
Crop Classification
N Metzger, K Schindler, MO Türkoglu, JD Wegner
2020
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