Oksuz, Kemal

12 publications

ECCV 2024 Bucketed Ranking-Based Losses for Efficient Training of Object Detectors Feyza Yavuz, Baris Can Cam, Adnan Harun Dogan, Kemal Oksuz, Emre Akbas, Sinan Kalkan

TMLR 2024 MoCaE: Mixture of Calibrated Experts Significantly Improves Object Detection Kemal Oksuz, Selim Kuzucu, Tom Joy, Puneet K. Dokania

ECCV 2024 On Calibration of Object Detectors: Pitfalls, Evaluation and Baselines Selim Kuzucu, Kemal Oksuz, Jonathan Sadeghi, Puneet Dokania

ECCVW 2024 Segment, Select, Correct: A Framework for Weakly-Supervised Referring Segmentation Francisco Eiras, Kemal Oksuz, Adel Bibi, Philip H. S. Torr, Puneet K. Dokania

NeurIPS 2024 What Makes and Breaks Safety Fine-Tuning? a Mechanistic Study Samyak Jain, Ekdeep Singh Lubana, Kemal Oksuz, Tom Joy, Philip H.S. Torr, Amartya Sanyal, Puneet K. Dokania

ICMLW 2024 What Makes and Breaks Safety Fine-Tuning? a Mechanistic Study Samyak Jain, Ekdeep Singh Lubana, Kemal Oksuz, Tom Joy, Philip Torr, Amartya Sanyal, Puneet K. Dokania

AAAI 2023 Correlation Loss: Enforcing Correlation Between Classification and Localization Fehmi Kahraman, Kemal Oksuz, Sinan Kalkan, Emre Akbas

CVPR 2023 Towards Building Self-Aware Object Detectors via Reliable Uncertainty Quantification and Calibration Kemal Oksuz, Tom Joy, Puneet K. Dokania

ICCV 2021 Rank & Sort Loss for Object Detection and Instance Segmentation Kemal Oksuz, Baris Can Cam, Emre Akbas, Sinan Kalkan

NeurIPS 2020 A Ranking-Based, Balanced Loss Function Unifying Classification and Localisation in Object Detection Kemal Oksuz, Baris Can Cam, Emre Akbas, Sinan Kalkan

WACV 2020 Generating Positive Bounding Boxes for Balanced Training of Object Detectors Kemal Oksuz, Baris Can Cam, Emre Akbas, Sinan Kalkan

ECCV 2018 Localization Recall Precision (LRP): A New Performance Metric for Object Detection Kemal Oksuz, Baris Can Cam, Emre Akbas, Sinan Kalkan