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Self-Domain Adaptation for Face Anti-Spoofing., , , , , and . AAAI, page 2746-2754. AAAI Press, (2021)Multi-Level Adaptive Region of Interest and Graph Learning for Facial Action Unit Recognition., , , , , and . ICASSP, page 2005-2009. IEEE, (2021)Demodalizing Face Recognition with Synthetic Samples., , , , , , , and . AAAI, page 3278-3286. AAAI Press, (2021)Weakly Supervised Regional and Temporal Learning for Facial Action Unit Recognition., , , , and . IEEE Trans. Multim., (2023)Deep Spiking Neural Network for High-Accuracy and Energy-Efficient Face Action Unit Recognition., , , , and . IJCNN, page 1-7. IEEE, (2021)FPTNet: Full Point Transformer Network for Point Cloud Completion., , and . PRCV (2), volume 14426 of Lecture Notes in Computer Science, page 142-154. Springer, (2023)Multi-scale Wavelet Transformer for Face Forgery Detection., , , , , and . ACCV (6), volume 13846 of Lecture Notes in Computer Science, page 52-68. Springer, (2022)Unimodal-Concentrated Loss: Fully Adaptive Label Distribution Learning for Ordinal Regression., , , , , , , and . CVPR, page 20481-20490. IEEE, (2022)Self-Supervised Regional and Temporal Auxiliary Tasks for Facial Action Unit Recognition., , , , and . ACM Multimedia, page 1038-1046. ACM, (2021)Weakly Supervised Regional and Temporal Learning for Facial Action Unit Recognition., , , , and . CoRR, (2022)