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Canberk Ekmekci
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2020 – today
- 2023
- [c4]Canberk Ekmekci, Müjdat Çetin:
Automatic parameter tuning for plug-and-play algorithms using generalized cross validation and Stein's unbiased risk estimation for linear inverse problems in computational imaging. Computational Imaging 2023: 170-1 - 2022
- [j1]Canberk Ekmekci, Müjdat Çetin:
Uncertainty Quantification for Deep Unrolling-Based Computational Imaging. IEEE Trans. Computational Imaging 8: 1195-1209 (2022) - [i1]Canberk Ekmekci, Müjdat Çetin:
Uncertainty Quantification for Deep Unrolling-Based Computational Imaging. CoRR abs/2207.00698 (2022) - 2021
- [c3]Canberk Ekmekci, Müjdat Çetin:
Model-Based Bayesian Deep Learning Architecture for Linear Inverse Problems in Computational Imaging. Computational Imaging 2021 - [c2]Canberk Ekmekci, Müjdat Çetin:
What Does Your Computational Imaging Algorithm Not Know?: A Plug-and-Play Model Quantifying Model Uncertainty. ICCVW 2021: 4001-4010
2010 – 2019
- 2018
- [c1]Yahya Hassanzadeh-Nazarabadi, Canberk Ekmekci, Esin Menceloglu, Öznur Özkasap:
SkipVis: A skip graph visualizer. SIU 2018: 1-4
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