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Kemal Oksuz
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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
4642020
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
1272018
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
442021
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
442020
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
302020
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
262021
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
82016
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
62021
Multitarget tracking performance metric: deficiency aware subpattern assignment
K Oksuz, AT Cemgil
IET Radar, Sonar & Navigation 12 (3), 373-381, 2018
62018
Correlation Loss: Enforcing Correlation between Classification and Localization
F Kahraman, K Oksuz, S Kalkan, E Akbas
AAAI Conference on Artificial Intelligence 2023, 2023
32023
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
32023
Deficiency aware subpattern assignment
K Öksüz, AT Cemgil
2017 25th Signal Processing and Communications Applications Conference (SIU …, 2017
12017
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
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
2023
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
2023
MoCaE: Mixture of Calibrated Experts Significantly Improves Object Detection
K Oksuz, S Kuzucu, T Joy, PK Dokania
arXiv preprint arXiv:2309.14976, 2023
2023
Identifying and Addressing Imbalance Problems in Visual Detection
K Oksuz
Middle East Technical University, 2021
2021
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