The comparison of the performances of global nearest neighbor and probability hypothesis density filter for varying clutter rates. - Kemal Oksuz; Ali Taylan Cemgil (SIU, 2016)

Deficiency aware subpattern assignment. - Kemal Oksuz; Ali Taylan Cemgil (SIU, 2017)

Localization Recall Precision (LRP): A New Performance Metric for Object Detection. - Kemal Oksuz; Baris Can Cam; Emre Akbas; Sinan Kalkan (ECCV (7), 2018)

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

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

Mask-aware IoU for Anchor Assignment in Real-time Instance Segmentation. - Kemal Oksuz; Baris Can Cam; Fehmi Kahraman; Zeynep Sonat Baltaci; Sinan Kalkan; Emre Akbas (BMVC, 2021)

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

Imbalance Problems in Object Detection: A Review. - Kemal Oksuz; Baris Can Cam; Sinan Kalkan; Emre Akbas (IEEE Trans. Pattern Anal. Mach. Intell., 2021)

Identifying and addressing imbalance problems in visual detection (Görsel tespitteki dengesizlik problemlerinin belirlenmesi ve çözümlenmesi) - Kemal Oksuz (2021)

One Metric to Measure Them All: Localisation Recall Precision (LRP) for Evaluating Visual Detection Tasks. - Kemal Oksuz; Baris Can Cam; Sinan Kalkan; Emre Akbas (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Correlation Loss: Enforcing Correlation between Classification and Localization. - Fehmi Kahraman; Kemal Oksuz; Sinan Kalkan; Emre Akbas (AAAI, 2023)

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

Class Uncertainty: A Measure to Mitigate Class Imbalance. - Zeynep Sonat Baltaci; Kemal Oksuz; Selim Kuzucu; Kivanc Tezoren; Berkin Kerim Konar; Alpay Ozkan; Emre Akbas; Sinan Kalkan (CoRR, 2023)

Generalized Mask-aware IoU for Anchor Assignment for Real-time Instance Segmentation. - Baris Can Çam; Kemal Öksüz; Fehmi Kahraman; Zeynep Sonat Baltaci; Sinan Kalkan; Emre Akbas (CoRR, 2023)

Segment, Select, Correct: A Framework for Weakly-Supervised Referring Segmentation. - Francisco Eiras; Kemal Oksuz; Adel Bibi; Philip H. S. Torr; Puneet K. Dokania (ECCV Workshops (10), 2024)

On Calibration of Object Detectors: Pitfalls, Evaluation and Baselines. - Selim Kuzucu; Kemal Oksuz; Jonathan Sadeghi; Puneet K. Dokania (ECCV (21), 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 (ECCV (59), 2024)

What Makes and Breaks Safety Fine-tuning? A Mechanistic Study. - Samyak Jain; Ekdeep Singh Lubana; Kemal Oksuz; Tom Joy; Philip Torr 001; Amartya Sanyal; Puneet K. Dokania (NeurIPS, 2024)

MoCaE: Mixture of Calibrated Experts Significantly Improves Object Detection. - Kemal Oksuz; Selim Kuzucu; Tom Joy; Puneet K. Dokania (Trans. Mach. Learn. Res., 2024)