Mehmet Ozgur Turkoglu

Orcid: 0000-0003-1446-2778

According to our database1, Mehmet Ozgur Turkoglu authored at least 13 papers between 2017 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Towards Robust Deep Learning-based Rumex Obtusifolius Detection from Drone Images.
CoRR, April, 2026

Making Foundation Models Probabilistic via Singular Value Ensembles.
CoRR, January, 2026

LoRA-Ensemble: Efficient Uncertainty Modelling for Self-Attention Networks.
Trans. Mach. Learn. Res., 2026

2025
Model-Agnostic, Temperature-Informed Sampling Enhances Cross-Year Crop Mapping with Deep Learning.
CoRR, June, 2025

2023
Deep learning for vegetation classification from optical satellite image time series.
PhD thesis, 2023

2022
Crop Classification Under Varying Cloud Cover With Neural Ordinary Differential Equations.
IEEE Trans. Geosci. Remote. Sens., 2022

Gating Revisited: Deep Multi-Layer RNNs That can be Trained.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

FiLM-Ensemble: Probabilistic Deep Learning via Feature-wise Linear Modulation.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021
Crop mapping from image time series: deep learning with multi-scale label hierarchies.
CoRR, 2021

Visual Camera Re-Localization Using Graph Neural Networks and Relative Pose Supervision.
Proceedings of the International Conference on 3D Vision, 2021

2019
A Layer-Based Sequential Framework for Scene Generation with GANs.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Incremental Learning-Based Adaptive Object Recognition for Mobile Robots.
Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018

2017
Texture-Based Eyebrow Recognition.
Proceedings of the International Conference of the Biometrics Special Interest Group, 2017


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