1. Education

2. Academic Interests

Research Interests:

  • •
    Machine Learning (Deep Learning)
  • •
    Computer Vision

Teaching Interests:

  • •
    Machine Learning (Deep Learning)
  • •
    Computer Vision
  • •
    Programming Languages and Software Engineering
  • •
    Embedded Programming

Courses Assisted in Boğaziçi University:

  • •
    CMPE537, Computer Vision, Fall 2009, assistant of Prof. Dr. Lale Akarun
  • •
    CMPE150, Introduction to Computing, Spring 2012, assistant of Prof. Dr. Lale Akarun

Courses Taught in Özyeğin University:

  • •
    CS321 - Programming Languages (Fall 2018 – Fall 2025, every fall term) [Course Repos]
  • •
    CS409/509 - Advanced C++ Programming (Spring 2017 – Spring 2026, most spring terms) [Course Repos]
  • •
    CS423/523 - Computer Vision (Fall 2014, Fall 2015, Fall 2016, Fall 2017)
  • •
    CS466/566 - Introduction to Deep Learning (Spring 2016)
  • •
    CS394 - Android Application Programming (Spring 2014, Spring 2015)
  • •
    CS101 - Introduction to Computing (Spring 2012, Spring 2013, Fall 2014, Fall 2015)
  • •
    CS102 - Object Oriented Programming (Fall 2012, Fall 2013, Spring 2014)
  • •
    CS509-Vestel - Advanced C++ Programming (Spring 2018, Spring 2019)
  • •
    CS523-Vestel - Computer Vision (Fall 2017)
  • •
    CS577-Vestel - Android Application Programming (Spring 2014, Spring 2016)

3. Experience

4. Awards and Achievements

  • 2024
    8th place, NTIRE 2024 Challenge on Night Photography Rendering (CVPR Workshops), quality track.
    Team: OzU-VGL (Kınlı, Yılmaz, Özcan, Kıraç).
  • 2023
    7th place (people's choice) and 9th place (professional photographer), NTIRE 2023 Challenge on Night Photography Rendering (CVPR Workshops).
    Team: OzUVGL (Kınlı, Özcan, Kıraç).
  • 2022
    4th place, NTIRE 2022 Challenge on Night Photography Rendering (CVPR Workshops). Same rank on the people's choice and professional photographer rankings.
    Team: OzU-VVGL (Kınlı, Menteş, Özcan, Kıraç).
  • 2022
    Kaggle Award, ML Reproducibility Challenge 2022 — selected among the best 25 reports.
    Team: Mert Erkol, Barış Özcan, Osman Furkan Kınlı; adviser.
  • 2012
    3rd place in best demo award, SIU 2012, Muğla, Turkey.
  • 2012
    Best application paper award, SIU 2012, Muğla, Turkey.
  • 2008
    Programmed the first Computer Vision based Gas Filling Automation System.
    Used for automatic filling of gas tanks for a major Turkish energy company.
  • 2006
    Ported the tire design software INFMT/G from Fortran’77 VAX to today’s PCs.
    The code is actively being used for tire development in BRISA.
  • 2005
    2nd place in best paper award, SIU 2005, Kayseri, Turkey.
  • 2004
    Programmed the first Computer Vision based Filling Quality Control Automation System.
    Software is currently being used in BP Gas at Yarimca, Turkey.
  • 2003
    Programmed the first Turkish License Plate Recognition Software Platasis.
    Software is currently being used widely in Turkey.
  • 2001
    Programmed fluid mechanics airflow simulator AIRSIM for a major Turkish brand Arçelik.
    Simulator has been used in the research phase of “Orbital” series refrigerators.
  • 1995
    Represented Turkey in 1995 London International Youth Science Forum.
    Sponsored by British Council.
  • 1995
    2nd degree in National High School Students Computer Research Project Competition.
    Project was an Operating System built on DOS which used a Windows 95 like GUI. Windows 95 was not released yet.
  • 1995
    Silver medal in III. National Computer Science Olympiads, Marmara Territory.
  • 1995
    Bronze medal in III. National Computer Science Olympiads, Turkey.
  • 1994
    Gold medal in II. National Computer Science Olympiads, Marmara Territory.
  • 1994
    Bronze position in II. National Computer Science Olympiads, Turkey.

5. Skills

  • Spoken Languages
    Advanced English, intermediate German, native Turkish speaker.
  • Programming
    More than 30 years of C and C++ experience. Advanced knowledge of modern C++ (C++11 through C++23).
    Also proficient in Java, Python, CUDA, Rust, Assembly (680x0, 80x86), Perl, Fortran, JavaScript, …
  • Machine Learning
    PyTorch, TensorFlow, ONNX; deep learning for computer vision and computational photography.
  • Operating Systems
    Various flavors of Linux, macOS, Windows, Android, iOS, and AmigaOS.
  • Computer Graphics
    Blender, 3D Studio Max modelling, Ogre Game Development Framework.
  • Distributed Computing
    OpenMP, Intel TBB, OpenMPI, Sun Grid Engine.
  • Database Administration
    Informix, Oracle, PostgreSQL, FirebirdSQL, MySQL, MariaDB, Firebase, …

6. Academic Service

  • •
    Reviewer, Elsevier Image and Vision Computing Journal
  • •
    Reviewer, Elsevier Pattern Recognition Letters Journal
  • •
    Reviewer, Elsevier Image Communications Journal
  • •
    Reviewer, SIU 2012 Conference
  • •
    Reviewer, Journal of Biomedical and Health Informatics
  • •
    Reviewer, Association for the Advancement of Artificial Intelligence
  • •
    Reviewer, Digital Signal Processing
  • •
    Reviewer, IEEE Journal of Biomedical and Health Informatics
  • •
    Reviewer, IEEE Transactions on Industrial Informatics
  • •
    Reviewer, IEEE Transactions on Multimedia
  • •
    Reviewer, IET Computer Vision
  • •
    Reviewer, Image and Vision Computing
  • •
    Reviewer, Signal Image and Video Processing

7. Book Chapters

  • 1.
    Keskin, Cem, Furkan Kirac, Yunus Emre Kara, Lale Akarun, "Real-time Hand Pose Estimation Using Depth Sensors", Consumer Depth Cameras for Computer Vision: Research Topics and Applications, 2012.

8. Publications

International Journal Publications:

  • 1.
    Tavlı, Ahmet, Furkan Kıraç, "A Compact Unified Model for Stereo-Matching and Optical Flow Tasks", IEEE Access, 2025.
  • 2.
    Kınlı, Osman Furkan, Furkan Kıraç, "Feature distribution statistics as a loss objective for robust white balance correction", Machine Vision and Applications, 2025.
  • 3.
    Kınlı, Osman Furkan, Barış Özcan, Furkan Kıraç, "Advancing white balance correction through deep feature statistics and feature distribution matching", Journal of Visual Communication and Image Representation, 2025.
  • 4.
    Yılmaz, Doğa, Furkan Kıraç, "Illumination-guided inverse rendering benchmark: Learning real objects with few cameras", Computers & Graphics, 2023.
  • 5.
    Özcan, Barış, Osman Furkan Kınlı, Furkan Kıraç, "Generalization to unseen viewpoint images of objects via alleviated pose attentive capsule agreement", Neural Computing and Applications, 2023.
  • 6.
    Gocer, Ozgur, K. Göçer, Baris Ozcan, M. Bakoviç, Furkan Kirac, "Pedestrian tracking in outdoor spaces of a suburban university campus for the investigation of occupancy patterns", Sustainable Cities and Society (SCS), 2018.
  • 7.
    Gocer, Ozgur, K. Göçer, A. M. Başol, Furkan Kirac, A. Özbil, M. Bakovic, F. P. Siddiqui, Baris Ozcan, "Introduction of a spatio-temporal mapping based POE method for outdoor spaces: Suburban university campus as a case study", Building and Environment 145, 125-139, 2018.
  • 8.
    Kirac, Furkan, Baris Aktemur, Hasan Sözer, "VISOR: A fast image processing pipeline with scaling and translation invariance for test oracle automation of visual output systems", Journal of Systems and Software 136, 266-277, 2018.
  • 9.
    Yilmaz, Buse, Baris Aktemur, M. J. Garzaran, S. Kamin, Furkan Kirac, "Autotuning Runtime Specialization for Sparse Matrix-Vector Multiplication", ACM Transactions on Architecture and Code Optimization (TACO), March 2015.
  • 10.
    Kirac, Furkan, Yunus Emre Kara, Lale Akarun, “Hierarchically Constrained 3D Hand Pose Estimation using Regression Forests from Single Frame Depth Data”, Pattern Recognition Letters - Special Issue on Depth Image Analysis, 2013.
  • 11.
    Bilge, Ümit, Mujde Kurtulan, Furkan Kirac, “A Tabu Search Algorithm for the Single Machine Total Weighted Tardiness Problem”, European Journal of Operational Research, 176 (3), 1423-1435, 2007.
  • 12.
    Bilge, Ümit, Furkan Kirac, Mujde Kurtulan, Pelin Pekgün, “A Tabu Search Algorithm for Parallel Machine Total Tardiness Problem”, Computers and Operations Research, v.31 n.3, p.397-414, 2004. [Report PDF]

International Conference / Workshop Publications:

  • 1.
    Kınlı, Osman Furkan, Barış Özcan, M. Furkan Kıraç, "Dawn: A robust tone mapping operator for multi-illuminant and low-light scenarios", SciTePress, 2025.
  • 2.
    Ershov, Egor, Alexey Panshin, Oleg Karasev, Sergey Korchagin, Sergey Lev, Alexey Startsev, et al. (incl. Furkan Kıraç), "NTIRE 2024 Challenge on Night Photography Rendering", IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2024.
  • 3.
    Kınlı, Osman Furkan, Doğa Yılmaz, Barış Özcan, Furkan Kıraç, "Deterministic neural illumination mapping for efficient auto-white balance correction", IEEE/CVF International Conference on Computer Vision Workshops, 2023.
  • 4.
    Shutova, Alina, Egor Ershov, Georgy Perevozchikov, Ivan Ermakov, Nikola Banić, Radu Timofte, et al. (incl. Furkan Kıraç), "NTIRE 2023 Challenge on Night Photography Rendering", IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2023.
  • 5.
    Kınlı, Osman Furkan, Doğa Yılmaz, Barış Özcan, Furkan Kıraç, "Modeling the lighting in scenes as style for auto white-balance correction", IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2023.
  • 6.
    Conde, Marcos V., Radu Timofte, Yibin Huang, Jingyang Peng, Chang Chen, Cheng Li, et al. (incl. Furkan Kıraç), "Reversed Image Signal Processing and RAW Reconstruction — AIM 2022 Challenge Report", European Conference on Computer Vision Workshops, 2022.
  • 7.
    Kınlı, Osman Furkan, Barış Özcan, Furkan Kıraç, "Reversing image signal processors by reverse style transferring", European Conference on Computer Vision Workshops, 2022.
  • 8.
    Kınlı, Osman Furkan, Sami Menteş, Barış Özcan, Furkan Kıraç, Radu Timofte, Yi Zuo, et al., "AIM 2022 Challenge on Instagram Filter Removal: Methods and Results", European Conference on Computer Vision Workshops, 2022.
  • 9.
    Kınlı, Osman Furkan, Barış Özcan, Furkan Kıraç, "Patch-wise contrastive style learning for Instagram filter removal", IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022.
  • 10.
    Balatkan, Emre, Furkan Kıraç, "Improving regression performance on monocular 3D object detection using bin-mixing and sparse voxel data", International Conference on Computer Science and Engineering (UBMK), 2021.
  • 11.
    Özcan, Barış, Osman Furkan Kınlı, Furkan Kıraç, "Quaternion Capsule Networks", International Conference on Pattern Recognition (ICPR), 2021.
  • 12.
    Kınlı, Osman Furkan, Barış Özcan, Furkan Kıraç, "Fashion Image Retrieval with Capsule Networks", IEEE International Conference on Computer Vision Workshops, 2019.
  • 13.
    Keskin, Cem, Furkan Kıraç, Yunus Emre Kara, Lale Akarun, "Real time hand pose estimation using depth sensors", In Consumer Depth Cameras for Computer Vision, pp. 119-137, Springer, London, 2013.
  • 14.
    Keskin, Cem, Furkan Kıraç, Yunus Emre Kara, Lale Akarun, "Hand pose estimation and hand shape classification using multi-layered randomized decision forests", European Conference on Computer Vision, pp. 852-863, Springer, Berlin, Heidelberg, 2012.
  • 15.
    Keskin, Cem, Furkan Kirac, Yunus Emre Kara, Lale Akarun, "Randomized decision forests for static and dynamic hand shape classification", IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, pp. 31-36, 2012.
  • 16.
    Kındıroğlu, A. A., R. Yorgancı, Furkan Kirac, M. Aydın, M. Hruz, H. Köse, Lale Akarun, "Multimodal Sign Language Game Interface", In Proceedings of eNTERFACE, The Summer Workshop on Multimodal Interfaces, 2011.
  • 17.
    Keskin, Cem, İsmail Arı, Tolga Eren, Furkan Kıraç, Lukas Rybok, Hazım Ekenel, Rainer Stiefelhagen, Lale Akarun, "Vision Based Hand Puppet", 6th International Summer Workshop on Multimodal Interfaces, p. 40, 2010.
  • 18.
    Kirac, Furkan, Ü. Bilge, M. Kurtulan, "Genetic Algorithm Approach to Parallel Machine Total Tardiness Problem", In Proceedings of EUROINFORMS, İstanbul, 2003. [PPT]

Reproducibility Reports:

  • 1.
    Erkol, Mert, Osman Furkan Kınlı, Barış Özcan, Furkan Kıraç, "[Re] Exact Feature Distribution Matching for Arbitrary Style Transfer and Domain Generalization", ML Reproducibility Challenge 2022.
  • 2.
    Yılmaz, Doğa, Osman Furkan Kınlı, Barış Özcan, Furkan Kıraç, "[Re] Lifting 2D StyleGAN for 3D-Aware Face Generation", ML Reproducibility Challenge 2021.
  • 3.
    Kıraç, Furkan, "[Re] Spatial-Adaptive Network for Single Image Denoising", ML Reproducibility Challenge, 2021.

National Conference Publications:

  • 1.
    Kirac, Furkan, Yunus Emre Kara, Cem Keskin, Lale Akarun, "Depth Image Based 3D Hand Pose Estimation Framework", In Proceedings of SİU 2012.
  • 2.
    Keskin, Cem, Furkan Kıraç, Yunus Emre Kara, Lale Akarun, "3D Hand Pose Estimation and Classification Using Depth Sensors", In Proceedings of SİU 2012.
  • 3.
    Kirac, Furkan, Lale Akarun, "Real-time Pose Tracking Based on a 3D Skeletal Model Using Multiple Cameras", In Proceedings of SİU 2011.
  • 4.
    Kirac, Furkan, Lale Akarun, "Human Hand Tracking in Image Sequence using Particle Filters", In Proceedings of SİU 2005. [PDF]

9. Projects

  • 1.
    Project Lead (Yürütücü), TÜBİTAK 1007 - KGYS için akıllı destek yazılımları geliştirme projesi, 2016-2019
  • 2.
    Consultant, Yapay Sinir Ağları Eğitimi (Neural Networks Consultancy), 2017
  • 3.
    Consultant, TÜBİTAK 1501 - Set Üstü Cihaz (STB) Otomasyon Sistemi, 2016-2017
  • 4.
    Project Lead, TÜBİTAK 1507 - Şok filtre bobinleri için yenilikçi üretim proseslerinin geliştirilmesi, 2015-2016
  • 5.
    Researcher, TÜBİTAK 1001 - Zaman-Mekansal Haritalama, 2015-2017
  • 6.
    Scholar, Vision Based Hand Puppet, Funded by UVA, 2010.
  • 7.
    Scholar, Gesture Based Human Computer Interaction in Emergency Management Systems (GEMS), Funded by The Scientific and Technical Research Council of Turkey (TÜBİTAK), 2009-2012.