14 citations · 21 across the 3 of their papers we have counts for
4 papers
Monocular 3D Multi-Person Pose Estimation by Integrating Top-Down and Bottom-Up Networks
Yu Cheng, Bo Wang, Bo Yang +1
In monocular video 3D multi-person pose estimation, inter-person occlusion and close interactions can cause human detection to be erroneous and human-joints grouping to be unreliab…
Graph and Temporal Convolutional Networks for 3D Multi-person Pose Estimation in Monocular Videos
Yu Cheng, Bo Wang, Bo Yang +1
Despite the recent progress, 3D multi-person pose estimation from monocular videos is still challenging due to the commonly encountered problem of missing information caused by occ…
Multi-Scale Networks for 3D Human Pose Estimation with Inference Stage Optimization
Cheng Yu, Bo Wang, Bo Yang +1
Estimating 3D human poses from a monocular video is still a challenging task. Many existing methods' performance drops when the target person is occluded by other objects, or the m…
3D Human Pose Estimation using Spatio-Temporal Networks with Explicit Occlusion Training
Yu Cheng, Bo Yang, Bo Wang +1
Estimating 3D poses from a monocular video is still a challenging task, despite the significant progress that has been made in recent years. Generally, the performance of existing…