Zafer Dogan

According to our database, Zafer Dogan authored at least 16 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Random Features Outperform Linear Models: Effect of Strong Input-Label Correlation in Spiked Covariance Data.

Samet Demir, Zafer Dogan

CoRR, 2024

Trustworthy SR: Resolving Ambiguity in Image Super-resolution via Diffusion Models and Human Feedback.

Cansu Korkmaz, Ege Çirakman, A. Murat Tekalp, Zafer Dogan

CoRR, 2024

Studying Generalization Performance of Random Feature Model through Equivalent Models.

Samet Demir, Zafer Dogan

Proceedings of the 32nd Signal Processing and Communications Applications Conference, 2024

Training Generative Image Super-Resolution Models by Wavelet-Domain Losses Enables Better Control of Artifacts.

Cansu Korkmaz, A. Murat Tekalp, Zafer Dogan

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Optimal Nonlinearities Improve Generalization Performance of Random Features.

Samet Demir, Zafer Dogan

Proceedings of the Asian Conference on Machine Learning, 2023

2022

Perception-Distortion Trade-Off in the SR Space Spanned by Flow Models.

Cansu Korkmaz, A. Murat Tekalp, Zafer Dogan, Erkut Erdem, Aykut Erdem

Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

MMSR: Multiple-Model Learned Image Super-Resolution Benefiting from Class-Specific Image Priors.

Cansu Korkmaz, A. Murat Tekalp, Zafer Dogan

Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

2021

Diagnosis of Inter-Turn Faults Based on Fault Harmonic Component Tracking in LSPMSMs Working Under Nonstationary Conditions.

Zafer Dogan, Kubra Tetik

IEEE Access, 2021

On the Computation of PSNR for a Set of Images or Video.

Onur Keles, Mustafa Akin Yilmaz, Ahmet Murat Tekalp, Cansu Korkmaz, Zafer Dogan

Proceedings of the Picture Coding Symposium, 2021

Two-Stage Domain Adapted Training For Better Generalization In Real-World Image Restoration And Super-Resolution.

Cansu Korkmaz, A. Murat Tekalp, Zafer Dogan

Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

2019

Domain-Informed Spline Interpolation.

Hamid Behjat, Zafer Dogan, Dimitri Van De Ville, Leif Sörnmo

IEEE Trans. Signal Process., 2019

2015

Reconstruction of Finite Rate of Innovation Signals with Model-Fitting Approach.

Zafer Dogan, Christopher Gilliam, Thierry Blu, Dimitri Van De Ville

IEEE Trans. Signal Process., 2015

2014

Detecting spontaneous brain activity in functional magnetic resonance imaging using finite rate of innovation.

Zafer Dogan, Thierry Blu, Dimitri Van De Ville

Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014

2013

Eigensensing and deconvolution for the reconstruction of heat absorption profiles from photoacoustic tomography data.

Zafer Dogan, Thierry Blu, Dimitri Van De Ville

Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013

2012

3D reconstruction of wave-propagated point sources from boundary measurements using joint sparsity and finite rate of innovation.

Zafer Dogan, Ivana Jovanovic, Thierry Blu, Dimitri Van De Ville

Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012

2011

A second-order extension of TV regularization for image deblurring.

Zafer Dogan, Stamatios Lefkimmiatis, Aurélien Bourquard, Michael Unser

Proceedings of the 18th IEEE International Conference on Image Processing, 2011