Browsing Computer Science by Author "Kıraç, Mustafa Furkan"
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ADVISOR: An adjustable framework for test oracle automation of visual output systems
Genç, A. E.; Sözer, Hasan; Kıraç, Mustafa Furkan; Aktemur, Tankut Barış (IEEE, 2020-09)Test oracles differentiate between the correct and incorrect system behavior. Automation of test oracles for visual output systems mainly involves image comparison, where a snapshot of the output is compared with respect ... -
AIM 2022 challenge on instagram filter removal: Methods and results
Kınlı, Osman Furkan; Menteş, Sami; Özcan, Barış; Kıraç, Mustafa Furkan (Springer, 2023)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, and the feature maps of the original ... -
Alt kesit seviyeleri arasında oy çoğunluğu ile sahne tanıma
In this paper, scene recognition problem, which is a frequently-studied field of computer vision, is tackled. Proposed algorithm utilizes bag of words (BoW) method along with considering sub-segments in the image during ... -
Automatically learning usage behavior and generating event sequences for black-box testing of reactive systems
Kıraç, Mustafa Furkan; Aktemur, Tankut Barış; Sözer, Hasan; Gebizli, C. Ş. (The ACM Digital Library, 2019-06)We propose a novel technique based on recurrent artificial neural networks to generate test cases for black-box testing of reactive systems. We combine functional testing inputs that are automatically generated from a model ... -
Autotuning runtime specialization for sparse matrix-vector multiplication
Yılmaz, Buse; Aktemur, Tankut Barış; Garzaran, M. J.; Kamin, S.; Kıraç, Mustafa Furkan (ACM, 2016-04)Runtime specialization is used for optimizing programs based on partial information available only at runtime. In this paper we apply autotuning on runtime specialization of Sparse Matrix-Vector Multiplication to predict ... -
A benchmark for inpainting of clothing images with irregular holes
Kınlı, Osman Furkan; Özcan, Barış; Kıraç, Mustafa Furkan (Springer, 2020)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 analysis systems, clothing image inpainting has ... -
Description-aware fashion image inpainting with convolutional neural networks in coarse-to-fine manner
Kınlı, Osman Furkan; Özcan, Barış; Kıraç, Mustafa Furkan (The ACM Digital Library, 2020-04-14)Inpainting a particular missing region in an image is a challenging vision task, and promising improvements on this task have been achieved with the help of the recent developments in vision-related deep learning studies. ... -
Deterministic neural illumination mapping for efficient auto-white balance correction
Kınlı, Osman Furkan; Yılmaz, Doğa; Özcan, Barış; Kıraç, Mustafa Furkan (IEEE, 2023)Auto-white balance (AWB) correction is a critical operation in image signal processors for accurate and consistent color correction across various illumination scenarios. This paper presents a novel and efficient AWB ... -
Fashion image retrieval with capsule networks
Kınlı, Osman Furkan; Özcan, Barış; Kıraç, Mustafa Furkan (IEEE, 2019)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 Capsule Network architecture with two ... -
Generalization to unseen viewpoint images of objects via alleviated pose attentive capsule agreement
Özcan, Barış; Kınlı, Osman Furkan; Kıraç, Mustafa Furkan (Springer, 2023-02)Despite their achievements in object recognition, Convolutional Neural Networks (CNNs) particularly fail to generalize to unseen viewpoints of a learned object even with substantial samples. On the other hand, recently ... -
Hierarchically constrained 3D hand pose estimation using regression forests from single frame depth data
Kıraç, Mustafa Furkan; Kara, Y. E.; Akarun, L. (Elsevier, 2014-12-01)The emergence of inexpensive 2.5D depth cameras has enabled the extraction of the articulated human body pose. However, human hand skeleton extraction still stays as a challenging problem since the hand contains as many ... -
Illumination-guided inverse rendering benchmark: Learning real objects with few cameras
Yılmaz, Doğa; Kıraç, Mustafa Furkan (Elsevier, 2023-10)The realm of 3D computer vision and graphics has experienced exponential growth recently, enabling the creation of realistic virtual environments and digital representations of real-world objects. Central to this progression ... -
Image denoising using deep convolutional autoencoder with feature pyramids
Çetinkaya, Ekrem; Kıraç, Mustafa Furkan (TÜBİTAK, 2020)Image denoising is 1 of the fundamental problems in the image processing field since it is the preliminary step for many computer vision applications. Various approaches have been used for image denoising throughout the ... -
Improving regression performance on monocular 3D object detection using bin-mixing and sparse voxel data
Balatkan, Eren; Kıraç, Mustafa Furkan (IEEE, 2021)Accurate and fast 3D object detection plays a role of paramount importance for safe and capable autonomous machines. LiDAR point cloud based methods have demonstrated impressive results, yet expensive LiDAR sensors make ... -
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 ... -
Introduction of a spatio-temporal mapping based POE method for outdoor spaces: Suburban university campus as a case study
Göçer, Özgür; Göçer, K.; Başol, Altuğ Melik; Kıraç, Mustafa Furkan; Özbil, A.; Bakovic, M.; Siddiqui, Faizan Pervez; Özcan, Barış (Elsevier, 2018-11)Outdoor spaces are important to sustainable cities because they establish a common identity for social life by improving quality of urban living. The relation between outdoor spaces and building groups, competency, use ... -
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 ... -
NTIRE 2023 challenge on night photography rendering
Shutova, A.; Kınlı, Osman Furkan; Özcan, Barış; Kıraç, Mustafa Furkan (IEEE, 2023)This paper presents a review of the NTIRE 2023 challenge on night photography rendering. The goal of the challenge was to find solutions that process raw camera images taken in nighttime conditions conditions, and thereby ... -
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 ...
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