Cansu Korkmaz
Orcid: 0000-0002-6841-4360
According to our database1,
Cansu Korkmaz authored at least 13 papers
between 2019 and 2026.
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Bibliography
2026
Leveraging Vision-Language Models to Select Trustworthy Super-Resolution Samples Generated by Diffusion Models.
IEEE Trans. Circuits Syst. Video Technol., February, 2026
2025
CoRR, March, 2025
Proceedings of the 2025 IEEE International Conference on Image Processing, ICIP 2025, 2025
2024
Trustworthy Sr: Resolving Ambiguity In Image Super-Resolution Via Diffusion Models And Human Feedback.
Proceedings of the IEEE International Conference on Image Processing, 2024
Training Generative Image Super-Resolution Models by Wavelet-Domain Losses Enables Better Control of Artifacts.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
Training Transformer Models by Wavelet Losses Improves Quantitative and Visual Performance in Single Image Super-Resolution.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
2022
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022
MMSR: Multiple-Model Learned Image Super-Resolution Benefiting from Class-Specific Image Priors.
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022
2021
Proceedings of the Picture Coding Symposium, 2021
Two-Stage Domain Adapted Training For Better Generalization In Real-World Image Restoration And Super-Resolution.
Proceedings of the 2021 IEEE International Conference on Image Processing, 2021
2019
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019