| 2024 | ECCV | Segment, Select, Correct: A Framework for Weakly-Supervised Referring Segmentation. | Francisco Eiras, Kemal Oksuz, Adel Bibi, Philip H. S. Torr, Puneet K. Dokania |
| 2024 | ECCV | On Calibration of Object Detectors: Pitfalls, Evaluation and Baselines. | Selim Kuzucu, Kemal Oksuz, Jonathan Sadeghi, Puneet K. Dokania |
| 2024 | ECCV | Bucketed Ranking-Based Losses for Efficient Training of Object Detectors. | Feyza Yavuz, Baris Can Cam, Adnan Harun Dogan, Kemal Oksuz, Emre Akbas, Sinan Kalkan |
| 2023 | AAAI | Correlation Loss: Enforcing Correlation between Classification and Localization. | Fehmi Kahraman, Kemal Oksuz, Sinan Kalkan, Emre Akbas |
| 2023 | CVPR | Towards Building Self-Aware Object Detectors via Reliable Uncertainty Quantification and Calibration. | Kemal Oksuz, Tom Joy, Puneet K. Dokania |
| 2021 | BMVC | 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 |
| 2021 | ICCV | Rank & Sort Loss for Object Detection and Instance Segmentation. | Kemal Oksuz, Baris Can Cam, Emre Akbas, Sinan Kalkan |
| 2020 | WACV | Generating Positive Bounding Boxes for Balanced Training of Object Detectors. | Kemal Oksuz, Baris Can Cam, Emre Akbas, Sinan Kalkan |
| 2018 | ECCV | Localization Recall Precision (LRP): A New Performance Metric for Object Detection. | Kemal Oksuz, Baris Can Cam, Emre Akbas, Sinan Kalkan |