| Imbalance problems in object detection: A review K Oksuz, BC Cam, S Kalkan, E Akbas IEEE Transactions on Pattern Analysis and Machine Intelligence 43 (10), 3388 …, 2020 | 581 | 2020 |
| Localization recall precision (LRP): A new performance metric for object detection K Oksuz, BC Cam, E Akbas, S Kalkan Proceedings of the European conference on computer vision (ECCV), 504-519, 2018 | 146 | 2018 |
| A ranking-based, balanced loss function unifying classification and localisation in object detection K Oksuz, BC Cam, E Akbas, S Kalkan Advances in Neural Information Processing Systems 2020, 15534-15545, 2020 | 58 | 2020 |
| Rank & sort loss for object detection and instance segmentation K Oksuz, BC Cam, E Akbas, S Kalkan Proceedings of the IEEE/CVF international conference on computer vision …, 2021 | 57 | 2021 |
| One metric to measure them all: Localisation recall precision (lrp) for evaluating visual detection tasks K Oksuz, BC Cam, S Kalkan, E Akbas IEEE Transactions on Pattern Analysis and Machine Intelligence 44 (12), 9446 …, 2021 | 34 | 2021 |
| Generating positive bounding boxes for balanced training of object detectors K Oksuz, BC Cam, E Akbas, S Kalkan Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2020 | 32 | 2020 |
| Towards building self-aware object detectors via reliable uncertainty quantification and calibration K Oksuz, T Joy, PK Dokania Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 13 | 2023 |
| Mask-aware IoU for Anchor Assignment in Real-time Instance Segmentation K Oksuz, BC Cam, F Kahraman, ZS Baltaci, S Kalkan, E Akbas British Machine Vision Conference, 2021, 2021 | 10 | 2021 |
| What makes and breaks safety fine-tuning? mechanistic study S Jain, ES Lubana, K Oksuz, T Joy, PHS Torr, A Sanyal, PK Dokania Advances in Neural Information Processing Systems (NeurIPS) 2024, 2024 | 8 | 2024 |
| The comparison of the performances of global nearest neighbor and probability hypothesis density filter for varying clutter rates K Öksüz, AT Cemgil 2016 24th Signal Processing and Communication Application Conference (SIU …, 2016 | 8 | 2016 |
| Multitarget tracking performance metric: deficiency aware subpattern assignment K Oksuz, AT Cemgil IET Radar, Sonar & Navigation 12 (3), 373-381, 2018 | 6 | 2018 |
| MoCaE: Mixture of Calibrated Experts Significantly Improves Object Detection K Oksuz, S Kuzucu, T Joy, PK Dokania arXiv preprint arXiv:2309.14976, 2023 | 4 | 2023 |
| Correlation Loss: Enforcing Correlation between Classification and Localization F Kahraman, K Oksuz, S Kalkan, E Akbas AAAI Conference on Artificial Intelligence 2023, 2023 | 3 | 2023 |
| Class Uncertainty: A Measure to Mitigate Class Imbalance ZS Baltaci, K Oksuz, S Kuzucu, K Tezoren, BK Konar, A Ozkan, E Akbas, ... arXiv preprint arXiv:2311.14090, 2023 | 2 | 2023 |
| On Calibration of Object Detectors: Pitfalls, Evaluation and Baselines S Kuzucu, K Oksuz, J Sadeghi, PK Dokania European Conference on Computer Vision (ECCV) 2024, 2024 | 1 | 2024 |
| Segment, Select, Correct: A Framework for Weakly-Supervised Referring Segmentation F Eiras, K Oksuz, A Bibi, PHS Torr, PK Dokania arXiv preprint arXiv:2310.13479, 2023 | 1 | 2023 |
| Deficiency aware subpattern assignment K Öksüz, AT Cemgil 2017 25th Signal Processing and Communications Applications Conference (SIU …, 2017 | 1 | 2017 |
| Bucketed Ranking-based Losses for Efficient Training of Object Detectors F Yavuz, BC Cam, AH Dogan, K Oksuz, E Akbas, S Kalkan European Conference on Computer Vision (ECCV) 2024, 2024 | | 2024 |
| Generalized Mask-aware IoU for Anchor Assignment for Real-time Instance Segmentation BC Çam, K Öksüz, F Kahraman, ZS Baltacı, S Kalkan, E Akbaş arXiv preprint arXiv:2312.17031, 2023 | | 2023 |
| Identifying and Addressing Imbalance Problems in Visual Detection K Oksuz Middle East Technical University, 2021 | | 2021 |
