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Iris and periocular biometrics for head mounted displays: Segmentation, recognition, and synthetic data generation., , , , , and . Image Vis. Comput., (2020)Iris Liveness Detection Competition (LivDet-Iris) - The 2020 Edition., , , , , , , , , and 13 other author(s). IJCB, page 1-9. IEEE, (2020)MixFaceNets: Extremely Efficient Face Recognition Networks., , , , and . IJCB, page 1-8. IEEE, (2021)On the Quality and Diversity of Synthetic Face Data and its Relation to the Generator Training Data., , , and . IWBF, page 1-6. IEEE, (2023)Are Explainability Tools Gender Biased? A Case Study on Face Presentation Attack Detection., , , and . EUSIPCO, page 945-949. IEEE, (2023)CR-FIQA: Face Image Quality Assessment by Learning Sample Relative Classifiability., , , , and . CVPR, page 5836-5845. IEEE, (2023)ElasticFace: Elastic Margin Loss for Deep Face Recognition., , , and . CVPR Workshops, page 1577-1586. IEEE, (2022)Ubiquitous multi-occupant detection in smart environments., , , , , and . Neural Comput. Appl., 36 (6): 2941-2960 (February 2024)Cross-Spectral Periocular Recognition by Cascaded Spectral Image Transformation., , , , and . IST, page 1-7. IEEE, (2019)Bias and Diversity in Synthetic-based Face Recognition., , , , and . WACV, page 6203-6214. IEEE, (2024)