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X-GACMN: An X-Shaped Generative Adversarial Cross-Modal Network with Hypersphere Embedding.

W. Guo, J. Liang, X. Kong, L. Song, и R. He. ACCV (5), том 11365 из Lecture Notes in Computer Science, стр. 513-529. Springer, (2018)

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Ran Ran

Ran Zhang

Ran Ji

Ran Ettinger

Ran Pan

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Load Balanced GANs for Multi-view Face Image Synthesis.J. Cao, Y. Hu, B. Yu, R. He, и Z. Sun. CoRR, (2018)Source Data-absent Unsupervised Domain Adaptation through Hypothesis Transfer and Labeling Transfer.J. Liang, D. Hu, Y. Wang, R. He, и J. Feng. CoRR, (2020)ProxyMix: Proxy-based Mixup training with label refinery for source-free domain adaptation.Y. Ding, L. Sheng, J. Liang, A. Zheng, и R. He. Neural Networks, (октября 2023)Recent Advances on Cross-Domain Face Recognition.X. Liu, X. Sun, R. He, и T. Tan. CCBR, том 9967 из Lecture Notes in Computer Science, стр. 147-157. (2016)Style-Based Attentive Network for Real-World Face Hallucination.M. Luo, X. Ma, H. Huang, и R. He. PRCV (4), том 13537 из Lecture Notes in Computer Science, стр. 262-273. Springer, (2022)Two-Stage Sparse Representation for Robust Recognition on Large-Scale Database.R. He, B. Hu, W. Zheng, и Y. Guo. AAAI, стр. 475-480. AAAI Press, (2010)Uncertainty-Guided Test-Time Training for Face Forgery Detection.S. Huang, H. Huang, Z. Wang, N. Xu, A. Zheng, и R. He. ACPR (2), том 14407 из Lecture Notes in Computer Science, стр. 258-272. Springer, (2023)Deep Supervised Discrete Hashing.Q. Li, Z. Sun, R. He, и T. Tan. NIPS, стр. 2482-2491. (2017)Dual Variational Generation for Low Shot Heterogeneous Face Recognition.C. Fu, X. Wu, Y. Hu, H. Huang, и R. He. NeurIPS, стр. 2670-2679. (2019)Information Bottleneck Disentanglement for Identity Swapping.G. Gao, H. Huang, C. Fu, Z. Li, и R. He. CVPR, стр. 3404-3413. Computer Vision Foundation / IEEE, (2021)

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