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FAN: Feature Adaptation Network for Surveillance Face Recognition and Normalization., , , and . CoRR, (2019)Improving Face Recognition from Hard Samples via Distribution Distillation Loss., , , , , , , and . ECCV (30), volume 12375 of Lecture Notes in Computer Science, page 138-154. Springer, (2020)Multitask convolutional neural network for no-reference image quality assessment., , , and . J. Electronic Imaging, 27 (06): 063033 (2018)Graph Game Embedding., , , , , , and . AAAI, page 7711-7720. AAAI Press, (2021)Privacy-Preserving Face Recognition Using Random Frequency Components., , , , , , , and . ICCV, page 19616-19627. IEEE, (2023)Wasserstein Coupled Graph Learning for Cross-Modal Retrieval., , , , , , , and . ICCV, page 1793-1802. IEEE, (2021)DuetFace: Collaborative Privacy-Preserving Face Recognition via Channel Splitting in the Frequency Domain., , , , , , and . ACM Multimedia, page 6755-6764. ACM, (2022)SDD-FIQA: Unsupervised Face Image Quality Assessment With Similarity Distribution Distance., , , , , , , , and . CVPR, page 7670-7679. Computer Vision Foundation / IEEE, (2021)Distribution Distillation Loss: Generic Approach for Improving Face Recognition from Hard Samples., , , , , , , and . CoRR, (2020)CurricularFace: Adaptive Curriculum Learning Loss for Deep Face Recognition., , , , , , , and . CVPR, page 5900-5909. Computer Vision Foundation / IEEE, (2020)