| Imbalance problems in object detection: A review K Oksuz, BC Cam, S Kalkan, E Akbas IEEE Transactions on Pattern Analysis and Machine Intelligence, 2020 | 470 | 2020 |
| Localization recall precision (LRP): A new performance metric for object detection K Oksuz, B Can Cam, E Akbas, S Kalkan Proceedings of the European Conference on Computer Vision (ECCV), 504-519, 2018 | 131 | 2018 |
| 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 | 44 | 2021 |
| 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 33, 2020 | 44 | 2020 |
| Generating positive bounding boxes for balanced training of object detectors K Oksuz, BC Cam, E Akbas, S Kalkan The IEEE Winter Conference on Applications of Computer Vision, 894-903, 2020 | 30 | 2020 |
| 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, 2021 | 28 | 2021 |
| Mask-aware IoU for Anchor Assignment in Real-time Instance Segmentation K Oksuz, BC Cam, F Kahraman, ZS Baltaci, S Kalkan, E Akbas arXiv preprint arXiv:2110.09734, 2021 | 6 | 2021 |
| Facial expression recognition based on locational features BC Çam, M Yalçın, HS Yavuz 2016 24th Signal Processing and Communication Application Conference (SIU …, 2016 | 1 | 2016 |
| 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 |
| Training object detectors by directly optimizing lrp metric BC Çam Middle East Technical University, 2020 | | 2020 |
