Feature distribution statistics as a loss objective for robust white balance correction
Kınlı, F., Kıraç, F. Feature distribution statistics as a loss objective for robust white balance correction. Machine Vision and Applications 36, 58 (2025).
CV
For more formal version, please refer to here.
Objective
- Be kind.
- Make my parents proud.
- Conduct research on images.
- Become a successful computer scientist.
- Share my knowledge with anyone I can reach.
Education
- Ph.D. in Computer Science, Özyeğin University, 2019 - 2025
- M.Sc. in Computer Science, Özyeğin University, 2018 - 2019
- B.Sc. in Computer Science in Engineering, Özyeğin University, 2012 - 2018
Experience
- Assistant Professor, Nov 2025 - Present
- Bahçeşehir University @ Istanbul, Turkey
- Department of Artificial Intelligence
- Co-Founder & Lead AI Engineer, Sep 2019 - Present
- T-Fashion @ Istanbul, Turkey & Toronto, Canada
- Fashion Trend Forecasting & Generative AI Design
- Research Assistant, Feb 2019 - Oct 2025
- Özyeğin University @ Istanbul, Turkey
- Department of Computer Science
- Computer Vision Research Engineer, Jun 2020 - Dec 2024
- Fishency Innovation @ Stavanger, Norway
- Contract-based
- Machine Learning Engineer, Aug 2018 - Jan 2019
- eBay Turkey, GittiGidiyor @ Istanbul, Turkey
- R&D Team
- Software Engineer, Jun 2018 - Aug 2018
- Türk Telekom A.Ş. @ Istanbul, Turkey
- Business Intelligence & Data Team
Skills
- Python - C++ - Java
- PyTorch - Keras
- OpenCV - Kornia
- Cloud Services (GC, AWS, IBM Cloud)
Publications
Advancing white balance correction through deep feature statistics and feature distribution matching
Kınlı, F., Özcan, B., & Kıraç, F. (2025). Advancing white balance correction through deep feature statistics and feature distribution matching. Journal of Visual Communication and Image Representation, 108, 104412.
Dawn: A Robust Tone Mapping Operator for Multi-Illuminant and Low-Light Scenarios
Kınlı, F., Özcan, B. and Kıraç, F. (2025). Dawn: A Robust Tone Mapping Operator for Multi-Illuminant and Low-Light Scenarios. In Proceedings of the 20th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 3: VISAPP
NTIRE 2024 Challenge on Night Photography Rendering
Ershov, E., et al. (2024). NTIRE 2024 Challenge on Night Photography Rendering. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops. June 2024.
Deterministic Neural Illumination Mapping for Efficient Auto-White Balance Correction
Kınlı, F., Yılmaz, D., Özcan, B., & Kıraç, F. (2023). Deterministic neural illumination mapping for efficient auto-white balance correction. In Proceedings of the IEEE/CVF International Conference on Computer Vision (pp. 1139-1147).
NTIRE 2023 Challenge on Night Photography Rendering
Shutova, A., et al. (2023). NTIRE 2023 Challenge on Night Photography Rendering. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops. June 2023.
[Re] Exact Feature Distribution Matching for Arbitrary Style Transfer and Domain Generalization
Erkol, M., Kınlı, F., Özcan, B., & Kıraç, F. (2023). [Re] exact feature distribution matching for arbitrary style transfer and domain generalization. In ML Reproducibility Challenge 2022.
Reversed Image Signal Processing and RAW Reconstruction. AIM 2022 Challenge Report
Conde, M. V., Timofte, R., Huang, Y., Peng, J., Chen, C., Li, C., ... & Ju Jung, Y. (2022, October). Reversed image signal processing and RAW reconstruction. AIM 2022 challenge report. In European Conference on Computer Vision (pp. 3-26). Springer.
Reversing Image Signal Processors by Reverse Style Transferring
Kınlı, F., Özcan, B., & Kıraç, F. (2022, October). Reversing image signal processors by reverse style transferring. In European Conference on Computer Vision (pp. 688-698). Springer.
NTIRE 2022 challenge on night photography rendering
Ershov, E., et al. (2022). NTIRE 2022 Challenge on Night Photography Rendering. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops. June 2022, pp. 1287-1300.
AIM 2022 Challenge on Instagram Filter Removal: Methods and Results
Kınlı, F., et al. (2022). AIM 2022 Challenge on Instagram Filter Removal: Methods and Results. In European Conference on Computer Vision (pp. 27-43). Springer.
Modeling the Lighting in Scenes as Style for Auto White-Balance Correction
Kınlı, F., Yılmaz, D., Özcan, B., & Kıraç, F. (2023). Modeling the lighting in scenes as style for auto white-balance correction. In Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (pp. 4903-4913).
Generalization to Unseen Viewpoint Images of Objects via Alleviated Pose Attentive Capsule Agreement
Özcan, B., Kınlı, F., & Kıraç, F. (2023). Generalization to unseen viewpoint images of objects via alleviated pose attentive capsule agreement. Neural Computing and Applications, 35(4), 3521-3536.
Patch-wise Contrastive Style Learning for Instagram Filter Removal
Kınlı, F., Özcan, B., & Kıraç, F. (2022). Patch-wise contrastive style learning for instagram filter removal. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (pp. 578-588).
[Re] Lifting 2D StyleGAN for 3D-Aware Face Generation
Yılmaz, D., Kınlı, F., Özcan, B., & Kıraç, F. (2021). [Re] Lifting 2D StyleGAN for 3D-Aware Face Generation. In ML Reproducibility Challenge 2021 (Fall Edition).
Instagram Filter Removal on Fashionable Images
Kinli, F., Ozcan, B., & Kirac, F. (2021). Instagram filter removal on fashionable images. In Proceedings of the IEEE/CVF conference on computer vision and pattern recognition (pp. 736-745).
Re: VCNet: A Robust Approach to Blind Image Inpainting
Kınlı, F., Özcan, B. & Kıraç, F. (2021). Re: VCNet: A Robust Approach to Blind Image Inpainting. ML Reproducibility Challenge 2020. https://openreview.net/pdf?id=RKAKTnLzb8q
Re: Spatial-Adaptive Network for Single Image Denoising
Menteş, S., Kınlı, F., Özcan, B., & Kıraç, F. [Re] Spatial-Adaptive Network for Single Image Denoising. In ML Reproducibility Challenge 2020.
Quaternion Capsule Networks
Özcan, B., Kinli, F., & Kiraç, F. (2021, January). Quaternion capsule networks. In 2020 25th International Conference on Pattern Recognition (ICPR) (pp. 6858-6865). IEEE.
A Benchmark for Inpainting of Clothing Images with Irregular Holes
Kınlı, F., Özcan, B., & Kıraç, F. (2020, August). A benchmark for inpainting of clothing images with irregular holes. In European Conference on Computer Vision (pp. 182-199). Springer.
Description-aware Fashion Image Inpainting with Convolutional Neural Networks in Coarse-to-Fine Manner
Kınlı, F., Özcan, B., & Kıraç, F. (2020, April). Description-aware fashion image inpainting with convolutional neural networks in coarse-to-fine manner. In Proceedings of the 2020 6th International Conference on Computer and Technology Applications (pp. 74-79).
FashionCapsNet: Clothing Classification with Capsule Networks
Kinli, F , Kiraç, F . (2020). FashionCapsNet: Clothing Classification with Capsule Networks. Bilişim Teknolojileri Dergisi , 13 (1) , 87-96 . DOI: 10.17671/gazibtd.580222
Fashion Image Retrieval with Capsule Networks
Kinli, F., Ozcan, B., & Kirac, F. (2019). Fashion image retrieval with capsule networks. In Proceedings of the IEEE/CVF international conference on computer vision workshops (pp. 0-0).
Clothing Image Retrieval with Triplet Capsule Networks / A Thesis
Kınlı, O. F. (2019). Clothing image retrieval with triplet capsule networks (Master's thesis, Ozyegin University).
Academic Services
- Reviewer, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)
- Reviewer, Elsevier Digital Signal Processing
- Reviewer, IEEE/CAA Journal of Automatica Sinica
- Reviewer, Imaging Science Journal
- Reviewer, Journal of Experimental & Theoretical Artificial Intelligence
- Reviewer, the IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR) (2026, 2025, 2024, 2023)
- Reviewer, the International Conference on Computer Vision (ICCV) (2025, 2023)
- Reviewer, the European Conference on Computer Vision (ECCV) (2024, 2022)
- Reviewer, IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) (2025, 2024, 2023)
- Reviewer, The 39th Annual AAAI Conference on Artificial Intelligence (AAAI) 2025
- Reviewer, International Conference on Pattern Recognition (ICPR) 2024
- Reviewer, New Trends in Image Restoration and Enhancement workshop and challenges on image and video processing at CVPR (NTIRE) (2024, 2023, 2022, 2021)
- Reviewer, Advances in Image Manipulation workshop in conjunction with ECCV (AIM) (2024, 2022, 2020)
- Reviewer, Resource Efficient Deep Learning for Computer Vision workshop at ICCV (RCV) (2023)
- Reviewer, 30th IEEE Conference on Signal Processing and Communications Applications
- Reviewer, ML Reproducibility Challenge 2022 Edition
- Reviewer, ML Reproducibility Challenge 2021 Edition