Recovery of superquadrics from range images using deep learning: a preliminary study T Oblak, K Grm, A Jaklič, P Peer, V Štruc, F Solina 2019 IEEE International Work Conference on Bioinspired Intelligence (IWOBI …, 2019 | 9 | 2019 |
Fingermark quality assessment framework with classic and deep learning ensemble models T Oblak, R Haraksim, P Peer, L Beslay Knowledge-Based Systems 250, 109148, 2022 | 8 | 2022 |
Segmentation and Recovery of Superquadric Models using Convolutional Neural Networks J Šircelj, T Oblak, K Grm, U Petković, A Jaklič, P Peer, V Štruc, F Solina arXiv preprint arXiv:2001.10504, 2020 | 8 | 2020 |
Learning to predict superquadric parameters from depth images with explicit and implicit supervision T Oblak, J Šircelj, V Štruc, P Peer, F Solina, A Jaklič IEEE Access 9, 1087 - 1102, 2020 | 7 | 2020 |
Fingermark Quality Assessment: An Open-Source Toolbox T Oblak, R Haraksim, L Beslay, P Peer 2021 International Conference of the Biometrics Special Interest Group …, 2021 | 6 | 2021 |
Automatic Latent Fingerprint Segmentation Using Convolutional Neural Networks L Premk, Ž Emeršič, T Oblak 2021 44th International Convention on Information, Communication and …, 2021 | 4 | 2021 |
Probabilistic Fingermark Quality Assessment with Quality Region Localisation T Oblak, R Haraksim, L Beslay, P Peer Sensors 23 (8), 4006, 2023 | 1 | 2023 |