Deblurgan: Blind motion deblurring using conditional adversarial networks O Kupyn, V Budzan, M Mykhailych, D Mishkin, J Matas Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 1927 | 2018 |
Deblurgan-v2: Deblurring (orders-of-magnitude) faster and better O Kupyn, T Martyniuk, J Wu, Z Wang Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 1173 | 2019 |
FEAR: Fast, efficient, accurate and robust visual tracker V Borsuk, R Vei, O Kupyn, T Martyniuk, I Krashenyi, J Matas European Conference on Computer Vision, 644-663, 2022 | 59 | 2022 |
Dad-3dheads: A large-scale dense, accurate and diverse dataset for 3d head alignment from a single image T Martyniuk, O Kupyn, Y Kurlyak, I Krashenyi, J Matas, V Sharmanska Proceedings of the IEEE/CVF Conference on computer vision and pattern …, 2022 | 56 | 2022 |
Fast and efficient model for real-time tiger detection in the wild O Kupyn, D Pranchuk Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 10 | 2019 |
Actgan: Flexible and efficient one-shot face reenactment I Kosarevych, M Petruk, M Kostiv, O Kupyn, M Maksymenko, V Budzan 2020 8th International Workshop on Biometrics and Forensics (IWBF), 1-6, 2020 | 7 | 2020 |
Safe augmentation: Learning task-specific transformations from data I Baran, O Kupyn, A Kravchenko arXiv preprint arXiv:1907.12896, 2019 | 3 | 2019 |
Dataset enhancement with instance-level augmentations O Kupyn, C Rupprecht European Conference on Computer Vision, 384-402, 2025 | 2 | 2025 |
VGGHeads: 3D Multi Head Alignment with a Large-Scale Synthetic Dataset O Kupyn, E Khvedchenia, C Rupprecht arXiv preprint arXiv:2407.18245, 2024 | | 2024 |