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Deep Affect Prediction in-the-Wild: Aff-Wild Database and Challenge, Deep Architectures, and Beyond., , , , , , , and . Int. J. Comput. Vis., 127 (6-7): 907-929 (2019)AgeDB: The First Manually Collected, In-the-Wild Age Database., , , , , and . CVPR Workshops, page 1997-2005. IEEE Computer Society, (2017)Synthesizing Coupled 3D Face Modalities by Trunk-Branch Generative Adversarial Networks., , , , , , and . ECCV (29), volume 12374 of Lecture Notes in Computer Science, page 415-433. Springer, (2020)3DFaceGAN: Adversarial Nets for 3D Face Representation, Generation, and Translation., , , , and . CoRR, (2019)Latent Disentanglement in Mesh Variational Autoencoders Improves the Diagnosis of Craniofacial Syndromes and Aids Surgical Planning., , , , , , , , , and 2 other author(s). CoRR, (2023)Synthesising 3D Facial Motion from "In-the-Wild" Speech., , , , , and . CoRR, (2019)MimicME: A Large Scale Diverse 4D Database for Facial Expression Analysis., , , , , , , , , and 8 other author(s). ECCV (8), volume 13668 of Lecture Notes in Computer Science, page 467-484. Springer, (2022)Principal Component Analysis With Complex Kernel: The Widely Linear Model., and . IEEE Trans. Neural Networks Learn. Syst., 25 (9): 1719-1726 (2014)Deep Affect Prediction in-the-wild: Aff-Wild Database and Challenge, Deep Architectures, and Beyond., , , , , , , and . CoRR, (2018)Synthesizing Coupled 3D Face Modalities by Trunk-Branch Generative Adversarial Networks., , , , , , and . CoRR, (2019)