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Zafer Dogan
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2020 – today
- 2024
- [c11]Cansu Korkmaz, A. Murat Tekalp, Zafer Dogan:
Training Generative Image Super-Resolution Models by Wavelet-Domain Losses Enables Better Control of Artifacts. CVPR 2024: 5926-5936 - [c10]Samet Demir, Zafer Dogan
:
Studying Generalization Performance of Random Feature Model through Equivalent Models. SIU 2024: 1-4 - [i9]Cansu Korkmaz, Ege Çirakman, A. Murat Tekalp, Zafer Dogan:
Trustworthy SR: Resolving Ambiguity in Image Super-resolution via Diffusion Models and Human Feedback. CoRR abs/2402.07597 (2024) - [i8]Cansu Korkmaz, A. Murat Tekalp, Zafer Dogan:
Training Generative Image Super-Resolution Models by Wavelet-Domain Losses Enables Better Control of Artifacts. CoRR abs/2402.19215 (2024) - [i7]Samet Demir, Zafer Dogan:
Random Features Outperform Linear Models: Effect of Strong Input-Label Correlation in Spiked Covariance Data. CoRR abs/2409.20250 (2024) - [i6]Andrew Bond, Zafer Dogan:
Exploring the Precise Dynamics of Single-Layer GAN Models: Leveraging Multi-Feature Discriminators for High-Dimensional Subspace Learning. CoRR abs/2411.00498 (2024) - 2023
- [c9]Samet Demir, Zafer Dogan
Optimal Nonlinearities Improve Generalization Performance of Random Features. ACML 2023: 247-262 - [i5]Samet Demir, Zafer Dogan:
Optimal Nonlinearities Improve Generalization Performance of Random Features. CoRR abs/2309.16846 (2023) - 2022
- [c8]Cansu Korkmaz, A. Murat Tekalp, Zafer Dogan
Perception-Distortion Trade-Off in the SR Space Spanned by Flow Models. ICIP 2022: 2396-2400 - [c7]Cansu Korkmaz, A. Murat Tekalp, Zafer Dogan
MMSR: Multiple-Model Learned Image Super-Resolution Benefiting from Class-Specific Image Priors. ICIP 2022: 2816-2820 - [i4]Cansu Korkmaz, A. Murat Tekalp, Zafer Dogan, Erkut Erdem, Aykut Erdem:
Perception-Distortion Trade-off in the SR Space Spanned by Flow Models. CoRR abs/2209.08564 (2022) - [i3]Cansu Korkmaz, A. Murat Tekalp, Zafer Dogan:
MMSR: Multiple-Model Learned Image Super-Resolution Benefiting From Class-Specific Image Priors. CoRR abs/2209.08568 (2022) - 2021
- [j3]Zafer Dogan
Diagnosis of Inter-Turn Faults Based on Fault Harmonic Component Tracking in LSPMSMs Working Under Nonstationary Conditions. IEEE Access 9: 92101-92112 (2021) - [c6]Cansu Korkmaz, A. Murat Tekalp, Zafer Dogan
Two-Stage Domain Adapted Training For Better Generalization In Real-World Image Restoration And Super-Resolution. ICIP 2021: 569-573 - [c5]Onur Keles
On the Computation of PSNR for a Set of Images or Video. PCS 2021: 1-5 - [i2]Onur Keles, Mustafa Akin Yilmaz, Ahmet Murat Tekalp, Cansu Korkmaz, Zafer Dogan:
On the Computation of PSNR for a Set of Images or Video. CoRR abs/2104.14868 (2021) - [i1]Cansu Korkmaz, A. Murat Tekalp, Zafer Dogan:
Two-stage domain adapted training for better generalization in real-world image restoration and super-resolution. CoRR abs/2106.00504 (2021)
2010 – 2019
- 2019
- [j2]Hamid Behjat
Domain-Informed Spline Interpolation. IEEE Trans. Signal Process. 67(15): 3909-3921 (2019) - 2015
- [j1]Zafer Dogan
Reconstruction of Finite Rate of Innovation Signals with Model-Fitting Approach. IEEE Trans. Signal Process. 63(22): 6024-6036 (2015) - 2014
- [c4]Zafer Dogan, Thierry Blu, Dimitri Van De Ville:
Detecting spontaneous brain activity in functional magnetic resonance imaging using finite rate of innovation. ISBI 2014: 1047-1050 - 2013
- [c3]Zafer Dogan
Eigensensing and deconvolution for the reconstruction of heat absorption profiles from photoacoustic tomography data. ISBI 2013: 1154-1157 - 2012
- [c2]Zafer Dogan
3D reconstruction of wave-propagated point sources from boundary measurements using joint sparsity and finite rate of innovation. ISBI 2012: 1575-1578 - 2011
- [c1]Zafer Dogan
A second-order extension of TV regularization for image deblurring. ICIP 2011: 705-708
Coauthor Index
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last updated on 2024-12-12 22:00 CET by the dblp team
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