3 citations · 8 across the 7 of their papers we have counts for
9 papers
Learned Suppression for 3D Keypoint Detection with a Graph-Transformer Backbone
Batuhan Arda Bekar, Can Sarı, Hüseyin Can Gülkan +1
Detecting 3D keypoints is a long-standing challenge in computer vision. Most detectors end with a heuristic post-processing step that is not learned. We propose a 3D keypoint detec…
Deterministic Neural Illumination Mapping for Efficient Auto-White Balance Correction
Furkan Kınlı, Doğa Yılmaz, Barış Özcan +1
Auto-white balance (AWB) correction is a critical operation in image signal processors for accurate and consistent color correction across various illumination scenarios. This pape…
Modeling the Lighting in Scenes as Style for Auto White-Balance Correction
Furkan Kınlı, Doğa Yılmaz, Barış Özcan +1
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…
Reversing Image Signal Processors by Reverse Style Transferring
Furkan Kınlı, Barış Özcan, Furkan Kıraç
RAW image datasets are more suitable than the standard RGB image datasets for the ill-posed inverse problems in low-level vision, but not common in the literature. There are also a…
Patch-wise Contrastive Style Learning for Instagram Filter Removal
Furkan Kınlı, Barış Özcan, Furkan Kıraç
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…
Instagram Filter Removal on Fashionable Images
Furkan Kınlı, Barış Özcan, Furkan Kıraç
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 filte…