| Robust re-identification of manta rays from natural markings by learning pose invariant embeddings O Moskvyak, F Maire, F Dayoub, AO Armstrong, M Baktashmotlagh 2021 Digital Image Computing: Techniques and Applications (DICTA), 1-8, 2021 | 47 | 2021 |
| Flukebook: an open-source AI platform for cetacean photo identification D Blount, S Gero, J Van Oast, J Parham, C Kingen, B Scheiner, T Stere, ... Mammalian Biology 102 (3), 1005-1023, 2022 | 45 | 2022 |
| Keypoint-aligned embeddings for image retrieval and re-identification O Moskvyak, F Maire, F Dayoub, M Baktashmotlagh Proceedings of WACV 2021, 2021 | 32 | 2021 |
| Semi-supervised Keypoint Localization O Moskvyak, F Maire, F Dayoub, M Baktashmotlagh Proceedings of ICLR 2021, 2021 | 25 | 2021 |
| Learning landmark guided embeddings for animal re-identification O Moskvyak, F Maire, F Dayoub, M Baktashmotlagh Proceedings of WACV Workshops 2020, 2020 | 17 | 2020 |
| Going deeper into semi-supervised person re-identification O Moskvyak, F Maire, F Dayoub, M Baktashmotlagh arXiv preprint arXiv:2107.11566, 2021 | 7 | 2021 |
| Robust re-identification of manta rays from natural markings by learning pose invariant embeddings. In 2021 Digital Image Computing: Techniques and Applications (DICTA) O Moskvyak, F Maire, F Dayoub, AO Armstrong, M Baktashmotlagh IEEE. https://doi. org/10.1109/DICTA52665, 2021 | 5 | 2021 |
| Learning geometric equivalence between patterns using embedding neural networks O Moskvyak, F Maire Proceedings of DICTA 2017, 2017 | 3 | 2017 |
| LipAT: Beyond style transfer for controllable neural simulation of Lipstick using cosmetic attributes A Silva, O Moskvyak, A Long, R Garg, S Gould, G Avraham, ... Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2024 | | 2024 |
| Learning from limited annotated data for re-identification problem O Moskvyak Queensland University of Technology, 2021 | | 2021 |
