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ORCIDMehmet Ozgur Turkoglu
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2020 – today
- 2024
[i7]Michelle Halbheer, Dominik J. Mühlematter, Alexander Becker, Dominik Narnhofer, Helge Aasen, Konrad Schindler, Mehmet Ozgur Turkoglu:
LoRA-Ensemble: Efficient Uncertainty Modelling for Self-attention Networks. CoRR abs/2405.14438 (2024)- 2023
- [b1]Mehmet Ozgur Turkoglu
:
Deep learning for vegetation classification from optical satellite image time series. ETH Zurich, Zürich, Switzerland, 2023 - 2022
- [j2]Mehmet Ozgur Turkoglu, Stefano D'Aronco, Jan Dirk Wegner, Konrad Schindler:
Gating Revisited: Deep Multi-Layer RNNs That can be Trained. IEEE Trans. Pattern Anal. Mach. Intell. 44(8): 4081-4092 (2022) - [j1]Nando Metzger, Mehmet Ozgur Turkoglu, Stefano D'Aronco, Jan Dirk Wegner, Konrad Schindler:
Crop Classification Under Varying Cloud Cover With Neural Ordinary Differential Equations. IEEE Trans. Geosci. Remote. Sens. 60: 1-12 (2022) - [c5]Mehmet Ozgur Turkoglu, Alexander Becker, Hüseyin Anil Gündüz, Mina Rezaei, Bernd Bischl, Rodrigo Caye Daudt, Stefano D'Aronco, Jan D. Wegner, Konrad Schindler:
FiLM-Ensemble: Probabilistic Deep Learning via Feature-wise Linear Modulation. NeurIPS 2022 - [i6]Mehmet Ozgur Turkoglu, Alexander Becker, Hüseyin Anil Gündüz, Mina Rezaei, Bernd Bischl, Rodrigo Caye Daudt, Stefano D'Aronco, Jan Dirk Wegner, Konrad Schindler:
FiLM-Ensemble: Probabilistic Deep Learning via Feature-wise Linear Modulation. CoRR abs/2206.00050 (2022) - 2021
- [c4]Mehmet Ozgur Turkoglu, Eric Brachmann, Konrad Schindler, Gabriel J. Brostow, Áron Monszpart:
Visual Camera Re-Localization Using Graph Neural Networks and Relative Pose Supervision. 3DV 2021: 145-155 - [i5]Mehmet Ozgur Turkoglu, Stefano D'Aronco, Gregor Perich, Frank Liebisch, Constantin Streit, Konrad Schindler, Jan Dirk Wegner:
Crop mapping from image time series: deep learning with multi-scale label hierarchies. CoRR abs/2102.08820 (2021) - [i4]Mehmet Ozgur Turkoglu, Eric Brachmann, Konrad Schindler, Gabriel J. Brostow, Áron Monszpart:
Visual Camera Re-Localization Using Graph Neural Networks and Relative Pose Supervision. CoRR abs/2104.02538 (2021) - 2020
- [i3]Nando Metzger, Mehmet Ozgur Turkoglu, Stefano D'Aronco, Jan Dirk Wegner, Konrad Schindler:
Crop Classification under Varying Cloud Cover with Neural Ordinary Differential Equations. CoRR abs/2012.02542 (2020)
2010 – 2019
- 2019
- [c3]Mehmet Ozgur Turkoglu, William Thong, Luuk J. Spreeuwers, Berkay Kicanaoglu:
A Layer-Based Sequential Framework for Scene Generation with GANs. AAAI 2019: 8901-8908 - [i2]Mehmet Ozgur Turkoglu, William Thong, Luuk J. Spreeuwers, Berkay Kicanaoglu:
A Layer-Based Sequential Framework for Scene Generation with GANs. CoRR abs/1902.00671 (2019) - [i1]Mehmet Ozgur Turkoglu, Stefano D'Aronco, Jan Dirk Wegner, Konrad Schindler:
Gating Revisited: Deep Multi-layer RNNs That Can Be Trained. CoRR abs/1911.11033 (2019) - 2018
- [c2]Mehmet Ozgur Turkoglu, Frank Bart ter Haar, Nanda van der Stap:
Incremental Learning-Based Adaptive Object Recognition for Mobile Robots. IROS 2018: 6263-6268 - 2017
- [c1]Mehmet Ozgur Turkoglu, Tugçe Arican:
Texture-Based Eyebrow Recognition. BIOSIG 2017: 137-147
Coauthor Index
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last updated on 2024-06-20 20:41 CEST by the dblp team
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