14 code implementations • ICCV 2017 • Julieta Martinez, Rayat Hossain, Javier Romero, James J. Little
Following the success of deep convolutional networks, state-of-the-art methods for 3d human pose estimation have focused on deep end-to-end systems that predict 3d joint locations given raw image pixels.
Ranked #18 on 3D Human Pose Estimation on HumanEva-I