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Shuffle Dense Networks for Biometric Authentication.

, , , , and . CSS (1), volume 11982 of Lecture Notes in Computer Science, page 143-156. Springer, (2019)

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Encoder-Decoder Residual Network for Real Super-Resolution., , , , , and . CVPR Workshops, page 2169-2178. Computer Vision Foundation / IEEE, (2019)Efficiently Amalgamated CNN-Transformer Network for Image Super-Resolution Reconstruction., , , , and . PRCV (11), volume 14435 of Lecture Notes in Computer Science, page 3-13. Springer, (2023)Cascaded Dense-UNet for Image Super-Resolution., , , , and . Journal of Circuits, Systems, and Computers, 29 (8): 2050121:1-2050121:16 (2020)NTIRE 2019 Challenge on Real Image Super-Resolution: Methods and Results., , , , , , , , , and 94 other author(s). CVPR Workshops, page 2211-2223. Computer Vision Foundation / IEEE, (2019)Shuffle Dense Networks for Biometric Authentication., , , , and . CSS (1), volume 11982 of Lecture Notes in Computer Science, page 143-156. Springer, (2019)Learning 3D Face Representation with Vision Transformer for Masked Face Recognition., , , , , and . CACML, page 505-511. IEEE, (2022)3D Face Recognition by Collaborative Representation Based on Face Feature., , , , and . CCBR, volume 8833 of Lecture Notes in Computer Science, page 182-190. Springer, (2014)Masked Face Recognition with 3D Facial Geometric Attributes., , , , , and . IPMV, page 13-21. ACM, (2022)