2 papers
cs.CV2020
Leveraging Temporal Joint Depths for Improving 3D Human Pose Estimation in Video
Naoki Kato, Hiroto Honda, Yusuke Uchida
The effectiveness of the approaches to predict 3D poses from 2D poses estimated in each frame of a video has been demonstrated for 3D human pose estimation. However, 2D poses witho…
cs.CV2018
Improving Multi-Person Pose Estimation using Label Correction
Naoki Kato, Tianqi Li, Kohei Nishino +1
Significant attention is being paid to multi-person pose estimation methods recently, as there has been rapid progress in the field owing to convolutional neural networks. Especial…