| The sixth visual object tracking vot2018 challenge results M Kristan, A Leonardis, J Matas, M Felsberg, R Pflugfelder, ... Proceedings of the European conference on computer vision (ECCV) workshops, 0-0, 2018 | 912 | 2018 |
| Strengths and weaknesses of deep learning models for face recognition against image degradations K Grm, V Štruc, A Artiges, M Caron, HK Ekenel Iet Biometrics 7 (1), 81-89, 2018 | 224 | 2018 |
| Face hallucination using cascaded super-resolution and identity priors K Grm, WJ Scheirer, V Štruc IEEE Transactions on Image Processing 29, 2150-2165, 2019 | 100 | 2019 |
| MFR 2021: Masked face recognition competition F Boutros, N Damer, JN Kolf, K Raja, F Kirchbuchner, R Ramachandra, ... 2021 IEEE International joint conference on biometrics (IJCB), 1-10, 2021 | 62 | 2021 |
| Deep sclera segmentation and recognition P Rot, M Vitek, K Grm, Ž Emeršič, P Peer, V Štruc Handbook of vascular biometrics, 395-432, 2020 | 55 | 2020 |
| Ug^ 2: A video benchmark for assessing the impact of image restoration and enhancement on automatic visual recognition RG Vidal, S Banerjee, K Grm, V Struc, WJ Scheirer 2018 IEEE Winter Conference on Applications of Computer Vision (WACV), 1597-1606, 2018 | 22 | 2018 |
| Report on the BTAS 2016 video person recognition evaluation WJ Scheirer, PJ Flynn, C Ding, G Guo, V Struc, M Al Jazaery, K Grm, ... 2016 IEEE 8th International Conference on Biometrics Theory, Applications …, 2016 | 22 | 2016 |
| Trends and controversies H Proença, M Nixon, M Nappi, E Ghaleb, G Özbulak, H Gao, HK Ekenel, ... IEEE Intelligent Systems 33 (3), 41-67, 2018 | 15 | 2018 |
| Analysis of race and gender bias in deep age estimation models A Puc, V Štruc, K Grm 2020 28th European Signal Processing Conference (EUSIPCO), 830-834, 2021 | 14 | 2021 |
| Face hallucination revisited: An exploratory study on dataset bias K Grm, M Pernus, L Cluzel, WJ Scheirer, S Dobrisek, V Struc Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 11 | 2019 |
| 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 |
| 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 |
| Future trends in digital face manipulation and detection R Tolosana, C Rathgeb, R Vera-Rodriguez, C Busch, L Verdoliva, S Lyu, ... Handbook of Digital Face Manipulation and Detection: From DeepFakes to …, 2022 | 7 | 2022 |
| Deep pair-wise similarity learning for face recognition K Grm, S Dobrisek, V Struc 2016 4th International Conference on Biometrics and Forensics (IWBF), 1-6, 2016 | 7 | 2016 |
| PrivacyProber: Assessment and detection of soft–biometric privacy–enhancing techniques P Rot, K Grm, P Peer, V Štruc IEEE Transactions on Dependable and Secure Computing, 2023 | 6 | 2023 |
| Efar 2023: Efficient face recognition competition JN Kolf, F Boutros, J Elliesen, M Theuerkauf, N Damer, M Alansari, ... 2023 IEEE International Joint Conference on Biometrics (IJCB), 1-12, 2023 | 5 | 2023 |
| Deep face recognition for surveillance applications K Grm, V Struc IEEE Intelligent Systems 33 (3), 46-50, 2018 | 3 | 2018 |
| Meet-in-the-middle: Multi-scale upsampling and matching for cross-resolution face recognition K Grm, BK Özata, V Štruc, HK Ekenel Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2023 | 2 | 2023 |
| MFR 2021: Masked Face Recognition Competition D Han, N Aginako, B Sierra, M Nieto, ME Erakin, U Demir, HK Ekenel, ... | 1 | 2021 |
| Sensitivity analysis of finger-vein recognition models. D Maljurič, K Grmy Electrotechnical Review/Elektrotehniski Vestnik 87 (5), 2020 | 1 | 2020 |
