Browsing Computer Science by Author "(ORCID 0000-0002-9192-6583 & YÖK ID 283852) Kınlı, Furkan"

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Instagram filter removal on fashionable images

Kınlı, Osman Furkan; Özcan, Barış; Kıraç, Mustafa Furkan (IEEE, 2021-06)

Social media images are generally transformed by filtering to obtain aesthetically more pleasing appearances. However, CNNs generally fail to interpret both the image and its filtered version as the same in the visual ...
Modeling the lighting in scenes as style for auto white-balance correction

Kınlı, Osman Furkan; Yılmaz, Doğa; Özcan, Barış; Kıraç, Mustafa Furkan (IEEE, 2023)

Style may refer to different concepts (e.g. painting style, hairstyle, texture, color, filter, etc.) depending on how the feature space is formed. In this work, we propose a novel idea of interpreting the lighting in the ...
NTIRE 2022 challenge on night photography rendering

Ershov, E.; Kınlı, Osman Furkan; Menteş, Sami; Özcan, Barış; Kıraç, Mustafa Furkan (IEEE, 2022)

This paper reviews the NTIRE 2022 challenge on night photography rendering. The challenge solicited solutions that processed RAW camera images captured in night scenes to produce a photo-finished output image encoded in ...
Patch-wise contrastive style learning for instagram filter removal

Kınlı, Osman Furkan; Özcan, Barış; Kıraç, Mustafa Furkan (IEEE, 2022)

Image-level corruptions and perturbations degrade the performance of CNNs on different downstream vision tasks. Social media filters are one of the most common resources of various corruptions and perturbations for real-world ...
Quaternion capsule networks

Özcan, Barış; Kınlı, Osman Furkan (IEEE, 2021)

Capsules are grouping of neurons that allow to represent sophisticated information of a visual entity such as pose and features. In the view of this property, Capsule Networks outperform CNNs in challenging tasks like ...