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20202022
most citedDual networks based 3D Multi-Person Pose Estimation from Monocular Video

29 citations · 50 across the 4 of their papers we have counts for

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5 papers · 1 filter

cs.CV202229 cited

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.,…

cs.CV20212 cited

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…

cs.CV20205 cited

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…

cs.CV2020

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…

cs.CV202014 cited

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…