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Combining Implicit Function Learning and Parametric Models for 3D Human Reconstruction., , , and . ECCV (2), volume 12347 of Lecture Notes in Computer Science, page 311-329. Springer, (2020)A Real-Time Online Learning Framework for Joint 3D Reconstruction and Semantic Segmentation of Indoor Scenes., , , , , and . IEEE Robotics Autom. Lett., 7 (2): 1332-1339 (2022)ChaLearn multi-modal gesture recognition 2013: grand challenge and workshop summary., , , , , , , , , and 2 other author(s). ICMI, page 365-368. ACM, (2013)imGHUM: Implicit Generative Models of 3D Human Shape and Articulated Pose., , and . ICCV, page 5441-5450. IEEE, (2021)Deep Reinforcement Learning for Active Human Pose Estimation., , and . AAAI, page 10835-10844. AAAI Press, (2020)HUM3DIL: Semi-supervised Multi-modal 3D HumanPose Estimation for Autonomous Driving., , , , , , and . CoRL, volume 205 of Proceedings of Machine Learning Research, page 1114-1124. PMLR, (2022)Photorealistic Monocular 3D Reconstruction of Humans Wearing Clothing., , and . CVPR, page 1496-1505. IEEE, (2022)Structured 3D Features for Reconstructing Controllable Avatars., , , , , and . CVPR, page 16954-16964. IEEE, (2023)Neural Descent for Visual 3D Human Pose and Shape., , , , , and . CVPR, page 14484-14493. Computer Vision Foundation / IEEE, (2021)Domes to Drones: Self-Supervised Active Triangulation for 3D Human Pose Reconstruction., , and . NeurIPS, page 3907-3917. (2019)