3 citations · 12 across the 11 of their papers we have counts for
14 papers
NTIRE 2026 Low-light Enhancement: Twilight Cowboy Challenge
Aleksei Khalin, Egor Ershov, Artyom Panshin +46
This paper presents a review of the NTIRE 2026 Low-light Enhancement: Twilight Cowboy Challenge. The objective of the competition was to merge a set of misaligned smartphone images…
Low Light Image Enhancement Challenge at NTIRE 2026
George Ciubotariu, Sharif S M A, Abdur Rehman +90
This paper presents a comprehensive review of the NTIRE 2026 Low Light Image Enhancement Challenge, highlighting the proposed solutions and final results. The objective of this cha…
Beyond Pixel Fidelity: Minimizing Perceptual Distortion and Color Bias in Night Photography Rendering
Furkan Kınlı
Night Photography Rendering (NPR) poses a significant challenge due to the extreme contrast between dark and illuminated areas in scenes, stemming from concurrent capture of severe…
NTIRE 2024 Challenge on Night Photography Rendering
Egor Ershov, Artyom Panshin, Oleg Karasev +47
This paper presents a review of the NTIRE 2024 challenge on night photography rendering. The goal of the challenge was to find solutions that process raw camera images taken in nig…
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…
Reversed Image Signal Processing and RAW Reconstruction. AIM 2022 Challenge Report
Marcos V. Conde, Radu Timofte, Yibin Huang +40
Cameras capture sensor RAW images and transform them into pleasant RGB images, suitable for the human eyes, using their integrated Image Signal Processor (ISP). Numerous low-level…
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…
AIM 2022 Challenge on Instagram Filter Removal: Methods and Results
Furkan Kınlı, Sami Menteş, Barış Özcan +30
This paper introduces the methods and the results of AIM 2022 challenge on Instagram Filter Removal. Social media filters transform the images by consecutive non-linear operations,…
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…
A Benchmark for Inpainting of Clothing Images with Irregular Holes
Furkan Kınlı, Barış Özcan, Furkan Kıraç
Fashion image understanding is an active research field with a large number of practical applications for the industry. Despite its practical impacts on intelligent fashion analysi…
Quaternion Capsule Networks
Barış Özcan, Furkan Kınlı, Furkan Kıraç
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 outp…
Fashion Image Retrieval with Capsule Networks
Furkan Kınlı, Barış Özcan, Furkan Kıraç
In this study, we investigate in-shop clothing retrieval performance of densely-connected Capsule Networks with dynamic routing. To achieve this, we propose Triplet-based design of…