TR | EN

Dr. Öğr. Üyesi Barış Özcan

Bahçeşehir Üniversitesi, Mühendislik ve Doğa Bilimleri Fakültesi

Bilgisayar Mühendisliği Bölümü

MAKALELER

  1. Kınlı, Furkan, Barış Özcan, and Furkan Kıraç. "Advancing white balance correction through deep feature statistics and feature distribution matching." Journal of Visual Communication and Image Representation 108 (2025): 104412.
  2. Özcan, Barış, Furkan Kınlı, and Furkan Kıraç. "Generalization to unseen viewpoint images of objects via alleviated pose attentive capsule agreement." Neural Computing and Applications (2022): 1-16.
  3. Göçer, Ö., Göçer, K., Başol, A. M., Kıraç, M. F., Torun, A. Ö., Bakovic, M., ... & Özcan, B. (2020). A Post-Occupancy Evaluation Model Based On Spatio-Temporal Mapping Method For University Outdoor Spaces//Üniversite Dış Mekânları İçin Zaman-Mekânsal Haritalama Yöntemine Dayanan Bir Kullanım Sonrası Değerlendirme Modeli. Megaron, 15(1), 99.
  4. Göçer, Ö., Göçer, K., Özcan, B., Bakovic, M., & Kıraç, M. F. (2019). Pedestrian tracking in outdoor spaces of a suburban university campus for the investigation of occupancy patterns. Sustainable cities and society, 45, 131-142.
  5. Göçer, Ö., Göçer, K., Başol, A. M., Kıraç, M. F., Özbil, A., Bakovic, M., ... & Özcan, B. (2018). 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.

KONFERANS BİLDİRİLERİ

  1. Kınlı, Furkan, et al. "Deterministic Neural Illumination Mapping for Efficient Auto-White Balance Correction." Proceedings of the IEEE/CVF International Conference on Computer Vision. 2023.
  2. 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).
  3. 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). Cham: Springer Nature Switzerland.
  4. Kınlı, F., Menteş, S., Özcan, B., Kıraç, F., Timofte, R., Zuo, Y., ... & Kansal, P. (2022, October). AIM 2022 challenge on Instagram filter removal: methods and results. In European Conference on Computer Vision (pp. 27-43). Cham: Springer Nature Switzerland.
  5. Yılmaz, D., Kınlı, F., Özcan, B., & Kıraç, F. (2022, February). [Re] Lifting 2D StyleGAN for 3D-Aware Face Generation. In ML Reproducibility Challenge 2021 (Fall Edition).
  6. Ershov, E., Savchik, A., Shepelev, D., Banić, N., Brown, M. S., Timofte, R., ... & Mudenagudi, U. (2022). NTIRE 2022 challenge on night photography rendering. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (pp. 1287-1300).
  7. Kınlı, Furkan, Barış Özcan, and Furkan Kıraç. "Patch-wise Contrastive Style Learning for Instagram Filter Removal." Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. 2022.
  8. Kınlı, Furkan, Barış Özcan, and Furkan Kıraç. "[Re] VCNet: A Robust Approach to Blind Image Inpainting." (2021).
  9. Menteş, S., Kınlı, F., Özcan, B., & Kıraç, F. (2021, January). [Re] Spatial-Adaptive Network for Single Image Denoising. In ML Reproducibility Challenge 2020.
  10. Kinli, Furkan, Baris Ozcan, and Furkan Kirac. "Instagram Filter Removal on Fashionable Images." Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. 2021.
  11. Kınlı, Furkan, Barış Özcan, and Furkan Kıraç. "A Benchmark for Inpainting of Clothing Images with Irregular Holes." European Conference on Computer Vision. Springer, Cham, 2020.
  12. 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).
  13. Kinli, F., Ozcan, B., & Kiraç, F. (2019). Fashion Image Retrieval with Capsule Networks. In Proceedings of the IEEE International Conference on Computer Vision Workshops (pp. 0-0).
  14. N. Maxudov, B. Özcan and M. F. Kıraç, "Scene recognition with majority voting among sub-section levels," 2016 24th Signal Processing and Communication Application Conference (SIU), Zonguldak, 2016, pp. 1637-1640, doi: 10.1109/SIU.2016.7496070.
  15. Özcan, B., Boyraz, P., & Yiğit, C. B. (2014, July). A monoSLAM approach to lane departure warning system. In 2014 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (pp. 640-645). IEEE.

KİTAPLAR

     

Bizi Takip Edin

Copyright @BAU

Design & Development BAU Digital Media & Web