Clothing Image Retrieval with Triplet Capsule Networks / A Thesis
F. Kinli. Clothing Image Retrieval with Triplet Capsule Networks. (Master's thesis, Özyeğin University, Istanbul, Turkey), 2019.
CV
Objective
- Being kind.
- Doing my parents proud on me.
- Doing researches on Computer Vision and Deep Learning to improve my academic career.
- Being successful computer scientist in my further career.
- Share my knowledge with anyone I can reach.
Education
- Ph.D. in Computer Science, Özyeğin University, 2019 - Present
- M.Sc. in Computer Science, Özyeğin University, 2018 - 2019
- B.Sc. in Computer Science in Engineering, Özyeğin University, 2012 - 2018
Experience
- Co-Founder & Lead AI Engineer, Sep 2019 - Present
- T-Fashion @ Istanbul, Turkey & Toronto, Canada
- Fashion Trend Forecasting
- Research Assistant, Feb 2019 - Present
- Özyeğin University @ Istanbul, Turkey
- Computer Science Department
- Computer Vision Research Engineer, Jun 2020 - Present
- 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
Fashion Image Retrieval with Capsule Networks
F. Kinli, B. Ozcan and F. Kirac. Fashion Image Retrieval with Capsule Networks. In Proceedings of The IEEE International Conference on Computer Vision (ICCV) Workshops, Oct, 2019.
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
Description-aware Fashion Image Inpainting with Convolutional Neural Networks in Coarse-to-Fine Manner
F. Kınlı, B. Özcan and F.Kıraç. Description-aware Fashion Image Inpainting with Convolutional Neural Networks in Coarse-to-Fine Manner. In Proceedings of 2020 6th International Conference on Computer and Technology Applications (ICCTA 2020, former ICCIT), Apr, 2020.
A Benchmark for Inpainting of Clothing Images with Irregular Holes
Kınlı, F., Özcan, B., & Kıraç, F. (2020). A Benchmark for Inpainting of Clothing Images with Irregular Holes. arXiv preprint arXiv:2007.05080.
Quaternion Capsule Networks
Özcan, B., Kınlı, F. & Kıraç, F. (2020). Quaternion Capsule Networks. arXiv preprint arXiv:2007.04389.
Re: Spatial-Adaptive Network for Single Image Denoising
Mentes, S., Kınlı, F., Özcan, B. & Kıraç, F. (2021). [Re] Spatial-Adaptive Network for Single Image Denoising. ML Reproducibility Challenge 2020. https://openreview.net/forum?id=yiAI9QN9nYt
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
Instagram Filter Removal on Fashionable Images
Furkan Kinli, Baris Ozcan, Furkan Kirac; Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2021, pp. 736-745
[Re] Lifting 2D StyleGAN for 3D-Aware Face Generation
Doğa Yılmaz, Furkan Kınlı, Barış Özcan and Furkan Kıraç. (2022). [Re] Lifting 2D StyleGAN for 3D-Aware Face Generation. ML Reproducibility Challenge 2021 (Fall Edition). https://openreview.net/forum?id=BcNonfQ3RY
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. arXiv preprint arXiv:2204.07486.
Generalization to Unseen Viewpoint Images of Objects via Alleviated Pose Attentive Capsule Agreement
Özcan, B., Kınlı, F. & Kıraç, F. Generalization to unseen viewpoint images of objects via alleviated pose attentive capsule agreement. Neural Comput & Applic (2022). https://doi.org/10.1007/s00521-022-07900-3
Modeling the Lighting in Scenes as Style for Auto White-Balance Correction
Kınlı, F., Yılmaz, D., Özcan, B., and Kıraç, F. (2022). Modeling the Lighting in Scenes as Style for Auto White-Balance Correction. arXiv preprint arXiv:22210.09090.
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. arXiv preprint arXiv:2210.08997.
Reversing Image Signal Processors by Reverse Style Transferring
Kınlı, F., Özcan, B., & Kıraç, F. (2022). Reversing Image Signal Processors by Reverse Style Transferring. arXiv preprint arXiv:2210.09074.
Reversed Image Signal Processing and RAW Reconstruction. AIM 2022 Challenge Report
Conde, M. V., et al. (2022). Reversed Image Signal Processing and RAW Reconstruction. AIM 2022 Challenge Report. arXiv preprint arXiv:2210.11153.
Academic Services
- Reviewer, Elsevier Digital Signal Processing
- Reviewer, IEEE/CAA Journal of Automatica Sinica
- Reviewer, Imaging Science Journal
- Reviewer, Journal of Experimental & Theoretical Artificial Intelligence
- Reviewer, AIM 2020 Advances in Image Manipulation workshop in conjunction with ECCV 2020
- Reviewer, NTIRE 2021 New Trends in Image Restoration and Enhancement workshop and challenges on image and video processing at CVPR 2021
- Reviewer, ML Reproducibility Challenge 2021 Edition
- Reviewer, the European Conference on Computer Vision (ECCV) 2022
- Reviewer, NTIRE 2022 New Trends in Image Restoration and Enhancement workshop and challenges on image and video processing at CVPR 2022
- Reviewer, AIM 2022 Advances in Image Manipulation workshop in conjunction with ECCV 2022
- Reviewer, ML Reproducibility Challenge 2022 Edition
- Reviewer, IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) 2023
- Reviewer, 30th IEEE Conference on Signal Processing and Communications Applications
- Reviewer, the IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR) 2023
- Reviewer, NTIRE 2023 New Trends in Image Restoration and Enhancement workshop and challenges on image and video processing at CVPR 2023
- Reviewer, the International Conference on Computer Vision (ICCV) 2023
- Reviewer, Resource Efficient Deep Learning for Computer Vision workshop at ICCV 2023
- Reviewer, IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) 2024