no code implementations • CVPR 2019 • Ching-Hang Chen, Ambrish Tyagi, Amit Agrawal, Dylan Drover, Rohith MV, Stefan Stojanov, James M. Rehg
Additionally, to learn from 2D poses "in the wild", we train an unsupervised 2D domain adapter network to allow for an expansion of 2D data.
Ranked #72 on 3D Human Pose Estimation on MPI-INF-3DHP (AUC metric)
no code implementations • 22 Aug 2018 • Dylan Drover, Rohith MV, Ching-Hang Chen, Amit Agrawal, Ambrish Tyagi, Cong Phuoc Huynh
We present a weakly supervised approach to estimate 3D pose points, given only 2D pose landmarks.