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Bilgisayar görüsü ve/veya yapay (derin) öğrenme konularında doktora tezi yapmış ve bu TÜBİTAK programı kapsamında araştırma grubumuza katılmak isteyen araştırmacılar e-posta üzerinden benimle iletişime geçebilir. x.com/Tubitak/status…

My PhD Thesis is now online! If interested imbalance problems, performance evaluation or optimizing performance measures directly as loss functions in visual detection, then check it out: bit.ly/3JdOOe0. I thank my advisors Sinan Kalkan, Emre Akbas for their great support.

ODTÜ; öğrencisiyle, hocasıyla, çalışanıyla, mezunuyla, doğasıyla ve en önemlisi "hep birlikte" güzel. Yeni yılda sağlıkla ve mutlulukla hep bir arada olmak ümidiyle. Mutlu Yıllar!! 2022’ye Merhaba çalma listemiz Spotify’da 👉 spoti.fi/32NNEoW #ODTÜ #METU

Happy to share our new work 👉 Paper & Code: On Calibration of Object Detectors: Pitfalls, Evaluation and Baselines (arxiv.org/pdf/2405.20459) Congratulations 2 d primary contributors: Selim Kuzucu (our wonderful intern) and Kemal Öksüz (my great team member) 👏👏 Five

This work on calibrating and evaluating object detectors just got accepted to European Conference on Computer Vision #ECCV2026 #ECCV2024 ! Looking forward to going to Milan 🇮🇹!

Happy to announce that our work (with Barış Can, Adnan Harun DOĞAN, Kemal Öksüz, Emre Akbas and Sinan Kalkan) titled ‘Bucketed Ranking-based Losses for Efficient Training of Object Detectors’ has been accepted to #ECCV2024! [1/2]

🚀Ever wondered what safety fine-tuning REALLY does to language models? How jailbreaking attacks bypass the safety of these models? ⭐️We believe we have some answers! Excited 2 share 🐣What Makes and Breaks Safety Fine-tuning? A Mechanistic Study 👉arxiv.org/abs/2407.10264

Our work on the confidence calibration and evaluation of object detectors just been accepted for an oral presentation (top 2.3% of all submissions) European Conference on Computer Vision #ECCV2026 #ECCV2024! It was also accepted as part of the nectar track GCPR 2025 #GCPR ' 24 in Munich!