Search Results for author: Yabo Xiao

Found 4 papers, 0 papers with code

Learning Quality-aware Representation for Multi-person Pose Regression

no code implementations4 Jan 2022 Yabo Xiao, Dongdong Yu, Xiaojuan Wang, Lei Jin, Guoli Wang, Qian Zhang

Off-the-shelf single-stage multi-person pose regression methods generally leverage the instance score (i. e., confidence of the instance localization) to indicate the pose quality for selecting the pose candidates.

Single-Stage Is Enough: Multi-Person Absolute 3D Pose Estimation

no code implementations CVPR 2022 Lei Jin, Chenyang Xu, Xiaojuan Wang, Yabo Xiao, Yandong Guo, Xuecheng Nie, Jian Zhao

The existing multi-person absolute 3D pose estimation methods are mainly based on two-stage paradigm, i. e., top-down or bottom-up, leading to redundant pipelines with high computation cost.

3D Pose Estimation Depth Estimation

AdaptivePose: Human Parts as Adaptive Points

no code implementations27 Dec 2021 Yabo Xiao, Xiaojuan Wang, Dongdong Yu, Guoli Wang, Qian Zhang, Mingshu He

Multi-person pose estimation methods generally follow top-down and bottom-up paradigms, both of which can be considered as two-stage approaches thus leading to the high computation cost and low efficiency.

Multi-Person Pose Estimation

SPCNet:Spatial Preserve and Content-aware Network for Human Pose Estimation

no code implementations13 Apr 2020 Yabo Xiao, Dongdong Yu, Xiaojuan Wang, Tianqi Lv, Yiqi Fan, Lingrui Wu

To alleviate these issues, we propose a novel Spatial Preserve and Content-aware Network(SPCNet), which includes two effective modules: Dilated Hourglass Module(DHM) and Selective Information Module(SIM).

Pose Estimation

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