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Kemal Oksuz
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2020 – today
- 2024
- [c11]Feyza Yavuz, Baris Can Cam, Adnan Harun Dogan, Kemal Oksuz, Emre Akbas, Sinan Kalkan:
Bucketed Ranking-Based Losses for Efficient Training of Object Detectors. ECCV (59) 2024: 93-109 - [c10]Selim Kuzucu, Kemal Oksuz, Jonathan Sadeghi, Puneet K. Dokania:
On Calibration of Object Detectors: Pitfalls, Evaluation and Baselines. ECCV (21) 2024: 185-204 - [i16]Selim Kuzucu, Kemal Oksuz, Jonathan Sadeghi, Puneet K. Dokania:
On Calibration of Object Detectors: Pitfalls, Evaluation and Baselines. CoRR abs/2405.20459 (2024) - [i15]Samyak Jain, Ekdeep Singh Lubana, Kemal Oksuz, Tom Joy, Philip H. S. Torr, Amartya Sanyal, Puneet K. Dokania:
What Makes and Breaks Safety Fine-tuning? A Mechanistic Study. CoRR abs/2407.10264 (2024) - [i14]Feyza Yavuz, Baris Can Cam, Adnan Harun Dogan, Kemal Oksuz, Emre Akbas, Sinan Kalkan:
Bucketed Ranking-based Losses for Efficient Training of Object Detectors. CoRR abs/2407.14204 (2024) - 2023
- [c9]Fehmi Kahraman, Kemal Oksuz, Sinan Kalkan, Emre Akbas:
Correlation Loss: Enforcing Correlation between Classification and Localization. AAAI 2023: 1087-1095 - [c8]Kemal Oksuz, Tom Joy, Puneet K. Dokania:
Towards Building Self-Aware Object Detectors via Reliable Uncertainty Quantification and Calibration. CVPR 2023: 9263-9274 - [i13]Fehmi Kahraman, Kemal Oksuz, Sinan Kalkan, Emre Akbas:
Correlation Loss: Enforcing Correlation between Classification and Localization. CoRR abs/2301.01019 (2023) - [i12]Kemal Oksuz, Tom Joy, Puneet K. Dokania:
Towards Building Self-Aware Object Detectors via Reliable Uncertainty Quantification and Calibration. CoRR abs/2307.00934 (2023) - [i11]Kemal Oksuz, Selim Kuzucu, Tom Joy, Puneet K. Dokania:
MoCaE: Mixture of Calibrated Experts Significantly Improves Object Detection. CoRR abs/2309.14976 (2023) - [i10]Francisco Eiras, Kemal Oksuz, Adel Bibi, Philip H. S. Torr, Puneet K. Dokania:
Segment, Select, Correct: A Framework for Weakly-Supervised Referring Segmentation. CoRR abs/2310.13479 (2023) - [i9]Zeynep Sonat Baltaci, Kemal Oksuz, Selim Kuzucu, K. Tezoren, B. K. Konar, A. Ozkan, Emre Akbas, Sinan Kalkan:
Class Uncertainty: A Measure to Mitigate Class Imbalance. CoRR abs/2311.14090 (2023) - [i8]Baris Can Çam, Kemal Öksüz, Fehmi Kahraman, Zeynep Sonat Baltaci, Sinan Kalkan, Emre Akbas:
Generalized Mask-aware IoU for Anchor Assignment for Real-time Instance Segmentation. CoRR abs/2312.17031 (2023) - 2022
- [j2]Kemal Oksuz, Baris Can Cam, Sinan Kalkan, Emre Akbas:
One Metric to Measure Them All: Localisation Recall Precision (LRP) for Evaluating Visual Detection Tasks. IEEE Trans. Pattern Anal. Mach. Intell. 44(12): 9446-9463 (2022) - 2021
- [b1]Kemal Oksuz:
Identifying and addressing imbalance problems in visual detection (Görsel tespitteki dengesizlik problemlerinin belirlenmesi ve çözümlenmesi). Middle East Technical University, Turkey, 2021 - [j1]Kemal Oksuz, Baris Can Cam, Sinan Kalkan, Emre Akbas:
Imbalance Problems in Object Detection: A Review. IEEE Trans. Pattern Anal. Mach. Intell. 43(10): 3388-3415 (2021) - [c7]Kemal Oksuz, Baris Can Cam, Fehmi Kahraman, Zeynep Sonat Baltaci, Sinan Kalkan, Emre Akbas:
Mask-aware IoU for Anchor Assignment in Real-time Instance Segmentation. BMVC 2021: 228 - [c6]Kemal Oksuz, Baris Can Cam, Emre Akbas, Sinan Kalkan:
Rank & Sort Loss for Object Detection and Instance Segmentation. ICCV 2021: 2989-2998 - [i7]Kemal Oksuz, Baris Can Cam, Emre Akbas, Sinan Kalkan:
Rank & Sort Loss for Object Detection and Instance Segmentation. CoRR abs/2107.11669 (2021) - [i6]Kemal Oksuz, Baris Can Cam, Fehmi Kahraman, Zeynep Sonat Baltaci, Sinan Kalkan, Emre Akbas:
Mask-aware IoU for Anchor Assignment in Real-time Instance Segmentation. CoRR abs/2110.09734 (2021) - 2020
- [c5]Kemal Oksuz, Baris Can Cam, Emre Akbas, Sinan Kalkan:
A Ranking-based, Balanced Loss Function Unifying Classification and Localisation in Object Detection. NeurIPS 2020 - [c4]Kemal Oksuz, Baris Can Cam, Emre Akbas, Sinan Kalkan:
Generating Positive Bounding Boxes for Balanced Training of Object Detectors. WACV 2020: 883-892 - [i5]Kemal Oksuz, Baris Can Cam, Emre Akbas, Sinan Kalkan:
A Ranking-based, Balanced Loss Function Unifying Classification and Localisation in Object Detection. CoRR abs/2009.13592 (2020) - [i4]Kemal Oksuz, Baris Can Cam, Sinan Kalkan, Emre Akbas:
One Metric to Measure them All: Localisation Recall Precision (LRP) for Evaluating Visual Detection Tasks. CoRR abs/2011.10772 (2020)
2010 – 2019
- 2019
- [i3]Kemal Oksuz, Baris Can Cam, Sinan Kalkan, Emre Akbas:
Imbalance Problems in Object Detection: A Review. CoRR abs/1909.00169 (2019) - [i2]Kemal Oksuz, Baris Can Cam, Emre Akbas, Sinan Kalkan:
Generating Positive Bounding Boxes for Balanced Training of Object Detectors. CoRR abs/1909.09777 (2019) - 2018
- [c3]Kemal Oksuz, Baris Can Cam, Emre Akbas, Sinan Kalkan:
Localization Recall Precision (LRP): A New Performance Metric for Object Detection. ECCV (7) 2018: 521-537 - [i1]Kemal Oksuz, Baris Can Cam, Emre Akbas, Sinan Kalkan:
Localization Recall Precision (LRP): A New Performance Metric for Object Detection. CoRR abs/1807.01696 (2018) - 2017
- [c2]Kemal Oksuz, Ali Taylan Cemgil:
Deficiency aware subpattern assignment. SIU 2017: 1-4 - 2016
- [c1]Kemal Oksuz, Ali Taylan Cemgil:
The comparison of the performances of global nearest neighbor and probability hypothesis density filter for varying clutter rates. SIU 2016: 677-680
Coauthor Index
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last updated on 2024-12-23 19:31 CET by the dblp team
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