1 code implementation • ICCV 2021 • Manuel Kaufmann, Yi Zhao, Chengcheng Tang, Lingling Tao, Christopher Twigg, Jie Song, Robert Wang, Otmar Hilliges
To this end, we present a method to estimate SMPL parameters from 6-12 EM sensors.
no code implementations • 12 Nov 2020 • Mathias Parger, Chengcheng Tang, Yuanlu Xu, Christopher Twigg, Lingling Tao, Yijing Li, Robert Wang, Markus Steinberger
Tracking body and hand motions in the 3D space is essential for social and self-presence in augmented and virtual environments.
no code implementations • 16 Apr 2019 • Yikang Li, Chris Twigg, Yuting Ye, Lingling Tao, Xiaogang Wang
Hand pose estimation from the monocular 2D image is challenging due to the variation in lighting, appearance, and background.
no code implementations • 2015 IEEE International Conference on Computer Vision Workshop (ICCVW) 2015 • Lingling Tao, René Vidal
While automatic feature learning methods such as supervised sparse dictionary learning or neural networks can be applied to learn feature representation and action classifiers jointly, the resulting features are usually uninterpretable.