1 code implementation • CVPR 2019 • Muhammed Kocabas, Salih Karagoz, Emre Akbas
Training accurate 3D human pose estimators requires large amount of 3D ground-truth data which is costly to collect.
Ranked #1 on Weakly-supervised 3D Human Pose Estimation on Human3.6M (Number of Frames Per View metric)
Self-Supervised Learning Weakly-supervised 3D Human Pose Estimation
4 code implementations • ECCV 2018 • Muhammed Kocabas, Salih Karagoz, Emre Akbas
In this paper, we present MultiPoseNet, a novel bottom-up multi-person pose estimation architecture that combines a multi-task model with a novel assignment method.
Ranked #8 on Multi-Person Pose Estimation on MS COCO