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Crystal Loss and Quality Pooling for Unconstrained Face Verification and Recognition., , , , , , and . CoRR, (2018)An Experimental Evaluation of Covariates Effects on Unconstrained Face Verification., , , and . IEEE Trans. Biom. Behav. Identity Sci., 1 (1): 42-55 (2019)A Fast and Accurate System for Face Detection, Identification, and Verification., , , , , , , , , and . IEEE Trans. Biom. Behav. Identity Sci., 1 (2): 82-96 (2019)Lightweight Face Anti-Spoofing Network for Telehealth Applications., , , , , , and . IEEE J. Biomed. Health Informatics, 26 (5): 1987-1996 (2022)Unconstrained Still/Video-Based Face Verification with Deep Convolutional Neural Networks., , , , , , , and . Int. J. Comput. Vis., 126 (2-4): 272-291 (2018)A cooperative image object recognition framework and task offloading optimization in edge computing., , and . J. Netw. Comput. Appl., (2022)Deep Learning for Understanding Faces: Machines May Be Just as Good, or Better, than Humans., , , , , , , and . IEEE Signal Process. Mag., 35 (1): 66-83 (2018)Task-Adaptive Feature Matching Loss for Image Deblurring., , , , , and . ICIP, page 3135-3139. IEEE, (2023)Hearing and Seeing Abnormality: Self-Supervised Audio-Visual Mutual Learning for Deepfake Detection., , and . ICASSP, page 1-5. IEEE, (2023)An Experimental Evaluation of Recent Face Recognition Losses for Deepfake Detection., , , , and . ICPR, page 9827-9834. IEEE, (2020)