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Reposing Humans by Warping 3D Features., , and . CVPR Workshops, page 4499-4504. Computer Vision Foundation / IEEE, (2020)Are Pose Estimators Ready for the Open World? STAGE: Synthetic Data Generation Toolkit for Auditing 3D Human Pose Estimators., , , and . CoRR, (2024)Learning 3D Human Pose Estimation from Dozens of Datasets using a Geometry-Aware Autoencoder to Bridge Between Skeleton Formats., , and . WACV, page 2955-2965. IEEE, (2023)Robust and efficient methods in visual 3D human pose estimation.. RWTH Aachen University, Germany, (2023)MeTRAbs: Metric-Scale Truncation-Robust Heatmaps for Absolute 3D Human Pose Estimation., , , and . IEEE Trans. Biom. Behav. Identity Sci., 3 (1): 16-30 (2021)Visual Person Understanding Through Multi-task and Multi-dataset Learning., , , , and . GCPR, volume 11824 of Lecture Notes in Computer Science, page 551-566. Springer, (2019)Metric-Scale Truncation-Robust Heatmaps for 3D Human Pose Estimation., , , and . FG, page 407-414. IEEE, (2020)Neural Localizer Fields for Continuous 3D Human Pose and Shape Estimation., and . CoRR, (2024)Automatic conjunctival provocation test combining Hough circle transform and self-calibrated color measurements., , , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 8670 of SPIE Proceedings, page 86702J. SPIE, (2013)