Texture-Based Eyebrow Recognition. - Mehmet Ozgur Turkoglu; Tugçe Arican (BIOSIG, 2017)

Incremental Learning-Based Adaptive Object Recognition for Mobile Robots. - Mehmet Ozgur Turkoglu; Frank Bart ter Haar; Nanda van der Stap (IROS, 2018)

A Layer-Based Sequential Framework for Scene Generation with GANs. - Mehmet Ozgur Turkoglu; William Thong; Luuk J. Spreeuwers; Berkay Kicanaoglu (AAAI, 2019)

Visual Camera Re-Localization Using Graph Neural Networks and Relative Pose Supervision. - Mehmet Ozgur Turkoglu; Eric Brachmann; Konrad Schindler; Gabriel J. Brostow; Áron Monszpart (3DV, 2021)

Crop mapping from image time series: deep learning with multi-scale label hierarchies. - Mehmet Ozgur Turkoglu; Stefano D'Aronco; Gregor Perich; Frank Liebisch; Constantin Streit; Konrad Schindler; Jan Dirk Wegner (CoRR, 2021)

FiLM-Ensemble: Probabilistic Deep Learning via Feature-wise Linear Modulation. - Mehmet Ozgur Turkoglu; Alexander Becker; Hüseyin Anil Gündüz; Mina Rezaei; Bernd Bischl; Rodrigo Caye Daudt; Stefano D'Aronco; Jan D. Wegner; Konrad Schindler (NeurIPS, 2022)

Gating Revisited: Deep Multi-Layer RNNs That can be Trained. - Mehmet Ozgur Turkoglu; Stefano D'Aronco; Jan Dirk Wegner; Konrad Schindler (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Crop Classification Under Varying Cloud Cover With Neural Ordinary Differential Equations. - Nando Metzger; Mehmet Ozgur Turkoglu; Stefano D'Aronco; Jan Dirk Wegner; Konrad Schindler (IEEE Trans. Geosci. Remote. Sens., 2022)

Deep learning for vegetation classification from optical satellite image time series. - Mehmet Ozgur Turkoglu (2023)

LoRA-Ensemble: Efficient Uncertainty Modelling for Self-attention Networks. - Michelle Halbheer; Dominik J. Mühlematter; Alexander Becker; Dominik Narnhofer; Helge Aasen; Konrad Schindler; Mehmet Ozgur Turkoglu (CoRR, 2024)

Model-Agnostic, Temperature-Informed Sampling Enhances Cross-Year Crop Mapping with Deep Learning. - Mehmet Ozgur Turkoglu; Selene Ledain; Helge Aasen (CoRR, 2025)