29 citations · 50 across the 4 of their papers we have counts for
5 papers · 1 filter
Dual networks based 3D Multi-Person Pose Estimation from Monocular Video
Yu Cheng, Bo Wang, Robby T. Tan
Monocular 3D human pose estimation has made progress in recent years. Most of the methods focus on single persons, which estimate the poses in the person-centric coordinates, i.e.,…
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…