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Gaussian Process Morphable Models., , , and . CoRR, (2016)Morphable Face Models - An Open Framework., , , , , , and . CoRR, (2017)Training Deep Face Recognition Systems with Synthetic Data., , , , , and . CoRR, (2018)Empirically Analyzing the Effect of Dataset Biases on Deep Face Recognition Systems., , , , , and . CVPR Workshops, page 2093-2102. Computer Vision Foundation / IEEE Computer Society, (2018)Analyzing and Reducing the Damage of Dataset Bias to Face Recognition With Synthetic Data., , , , , and . CVPR Workshops, page 2261-2268. Computer Vision Foundation / IEEE, (2019)Priming Deep Neural Networks with Synthetic Faces for Enhanced Performance., , , , , , , and . CoRR, (2018)Posterior shape models., , , and . Medical Image Anal., 17 (8): 959-973 (2013)Gaussian Process Morphable Models., , , and . IEEE Trans. Pattern Anal. Mach. Intell., 40 (8): 1860-1873 (2018)Spatially Varying Registration Using Gaussian Processes., , , , and . MICCAI (2), volume 8674 of Lecture Notes in Computer Science, page 413-420. Springer, (2014)Empirically Analyzing the Effect of Dataset Biases on Deep Face Recognition Systems., , , , , and . CoRR, (2017)