| Detecting driver drowsiness as an anomaly using lstm autoencoders G Tüfekci, A Kayabaşı, E Akagündüz, İ Ulusoy European Conference on Computer Vision, 549-559, 2022 | 3 | 2022 |
| Comparison of distance metric learning methods against label noise for fine-grained recognition A Kayabasi, K Karaman, IB Akkaya Automatic Target Recognition XXXI 11729, 107-118, 2021 | 3 | 2021 |
| Elimination of Non-Novel Segments at Multi-Scale for Few-Shot Segmentation A Kayabaşı, G Tüfekci, İ Ulusoy Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2023 | 2 | 2023 |
| A Comparative Analysis of Revealing Temporal Patterns for Driver Drowsiness Detection G Tüfekci, A Kayabaşi, İ Ulusoy 2022 30th Signal Processing and Communications Applications Conference (SIU …, 2022 | 2 | 2022 |
| Detecting Improper Driving via Frozen CLIP H Etcibaşi, A Kayabaşi, T Doğan 2023 31st Signal Processing and Communications Applications Conference (SIU …, 2023 | | 2023 |
| Few-shot segmentation by enhanced ensemble of base and meta predictions A Kayabaşı Middle East Technical University, 2023 | | 2023 |
Gülin Tüfekci DoğanPhD Candidate at METU, Computer Vision Engineer at ASELSANVerified email at metu.edu.tr
