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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. IEEE Computer Society, (2018)Robust Registration of Statistical Shape Models for Unsupervised Pathology Annotation., , , , and . LABELS/HAL-MICCAI/CuRIOUS@MICCAI, volume 11851 of Lecture Notes in Computer Science, page 13-21. Springer, (2019)A Closest Point Proposal for MCMC-based Probabilistic Surface Registration., , , , , and . CoRR, (2019)Informed MCMC with Bayesian Neural Networks for Facial Image Analysis., , , , , , and . CoRR, (2018)Probabilistic Fitting of Active Shape Models., , , and . ShapeMI@@MICCAI, volume 11167 of Lecture Notes in Computer Science, page 137-146. Springer, (2018)Priming Deep Neural Networks with Synthetic Faces for Enhanced Performance., , , , , , , and . CoRR, (2018)Occlusion-Aware 3D Morphable Models and an Illumination Prior for Face Image Analysis., , , , , , and . International Journal of Computer Vision, 126 (12): 1269-1287 (2018)Analyzing and Reducing the Damage of Dataset Bias to Face Recognition With Synthetic Data., , , , , and . CVPR Workshops, page 0. Computer Vision Foundation / IEEE, (2019)Greedy Structure Learning of Hierarchical Compositional Models., , , , , , , and . CVPR, page 11612-11621. Computer Vision Foundation / IEEE, (2019)