1 code implementation • 1 Sep 2023 • Shaohua Pan, Qi Ma, Xinyu Yi, Weifeng Hu, Xiong Wang, Xingkang Zhou, Jijunnan Li, Feng Xu
We believe that the combination is complementary and able to solve the inherent difficulties of using one modality input, including occlusions, extreme lighting/texture, and out-of-view for visual mocap and global drifts for inertial mocap.
Ranked #1 on
3D Human Pose Estimation
on AIST++
no code implementations • 2 May 2023 • Xinyu Yi, Yuxiao Zhou, Marc Habermann, Vladislav Golyanik, Shaohua Pan, Christian Theobalt, Feng Xu
We integrate the two techniques together in EgoLocate, a system that simultaneously performs human motion capture (mocap), localization, and mapping in real time from sparse body-mounted sensors, including 6 inertial measurement units (IMUs) and a monocular phone camera.
1 code implementation • 22 Sep 2022 • Haoyu Hu, Xinyu Yi, Hao Zhang, Jun-Hai Yong, Feng Xu
Single view-based reconstruction of hand-object interaction is challenging due to the severe observation missing caused by occlusions.
1 code implementation • 10 May 2021 • Xinyu Yi, Yuxiao Zhou, Feng Xu
For global translation estimation, we propose a supporting-foot-based method and an RNN-based method to robustly solve for the global translations with a confidence-based fusion technique.