Yunus Can Bilge
Hello, I am Dr. Yunus Can Bilge, I work as a senior machine learning engineer at Havelsan.
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Research Interests
Computer Vision, Deep Learning, Machine Learning
Video understanding (when weakly supervised data available)
Zero-shot Learning, Few-shot learning
News
May, 2023 - Our work named "Enhancing Zero-Shot Learning Based Sign Language Recognition Through Hand Landmarks and Data Augmentation" is accepted to ICONCS 2023.
January, 2023 - Our work named "Towards zero-shot sign language recognition" has been accepted to TPAMI.
September, 2022 - Successfully defended my PhD thesis.
May, 2022 - Our work "Butane Gas Detection in Hyperspectral LWIR Data" is accepted to SIU 2022.
September, 2020 - Our paper named "Red Carpet to Fight Club: Partially-supervised Domain Transfer for Face Recognition in Violent Videos" has been accepted to WACV 2021.
July, 2019 - Our paper named "Zero-Shot Sign Language Recognition: Can Textual Data Uncover Sign Languages?" has been accepted to BMVC 2019.
May, 2018 - Our work "Wildest faces: Face detection and recognition in violent settings" is on arxiv.
June, 2017 - Our work "Anomaly detection using improved background subtraction" is accepted to SIU 2017.
Selected Publications
Towards Zero-shot Sign Language Recognition
Y. C. Bilge, N. Ikizler-Cinbis, R. G. Cinbis
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 45, pp. 1217-1232, January 2023