Kemal Oksuz
Title
Cited by
Cited by
Year
Imbalance problems in object detection: A review
K Oksuz, BC Cam, S Kalkan, E Akbas
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2019
1082019
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
672018
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
112020
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
82020
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
62016
Multitarget tracking performance metric: deficiency aware subpattern assignment
K Oksuz, AT Cemgil
IET Radar, Sonar & Navigation 12 (3), 373-381, 2018
42018
One Metric to Measure them All: Localisation Recall Precision (LRP) for Evaluating Visual Detection Tasks
K Oksuz, BC Cam, S Kalkan, E Akbas
arXiv preprint arXiv:2011.10772, 2020
22020
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
12021
Deficiency aware subpattern assignment
K Öksüz, AT Cemgil
2017 25th Signal Processing and Communications Applications Conference (SIU …, 2017
12017
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
2021
Supplementary Material for “Rank & Sort Loss for Object Detection and Instance Segmentation”
K Oksuz, BC Cam, E Akbas, S Kalkan
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Articles 1–11