3 citations · 3 across the 4 of their papers we have counts for
4 papers
Unsupervised Multi-Person 3D Human Pose Estimation From 2D Poses Alone
Peter Hardy, Hansung Kim
Current unsupervised 2D-3D human pose estimation (HPE) methods do not work in multi-person scenarios due to perspective ambiguity in monocular images. Therefore, we present one of…
Optimising 2D Pose Representation: Improve Accuracy, Stability and Generalisability Within Unsupervised 2D-3D Human Pose Estimation
Peter Hardy, Srinandan Dasmahapatra, Hansung Kim
This paper addresses the problem of 2D pose representation during unsupervised 2D to 3D pose lifting to improve the accuracy, stability and generalisability of 3D human pose estima…
"Teaching Independent Parts Separately" (TIPSy-GAN) : Improving Accuracy and Stability in Unsupervised Adversarial 2D to 3D Pose Estimation
Peter Hardy, Srinandan Dasmahapatra, Hansung Kim
We present TIPSy-GAN, a new approach to improve the accuracy and stability in unsupervised adversarial 2D to 3D human pose estimation. In our work we demonstrate that the human kin…
Can Super Resolution be used to improve Human Pose Estimation in Low Resolution Scenarios?
Peter Hardy, Srinandan Dasmahapatra, Hansung Kim
The results obtained from state of the art human pose estimation (HPE) models degrade rapidly when evaluating people of a low resolution, but can super resolution (SR) be used to h…