SPCNet: Spatial Preserve and Content-Aware Network for Human Pose Estimation. - Yabo Xiao; Dongdong Yu; Xiaojuan Wang; Tianqi Lv; Yiqi Fan; Lingrui Wu (ECAI, 2020)

A Hybrid Network Based on Dense Connection and Weighted Feature Aggregation for Human Activity Recognition. - Tianqi Lv; Xiaojuan Wang; Lei Jin 003; Yabo Xiao; Mei Song (IEEE Access, 2020)

Margin-Based Deep Learning Networks for Human Activity Recognition. - Tianqi Lv; Xiaojuan Wang; Lei Jin; Yabo Xiao; Mei Song (Sensors, 2020)

AdaptivePose: Human Parts as Adaptive Points. - Yabo Xiao; Xiaojuan Wang; Dongdong Yu; Guoli Wang 004; Qian Zhang 009; Mingshu He (AAAI, 2022)

Learning Quality-Aware Representation for Multi-Person Pose Regression. - Yabo Xiao; Dongdong Yu; Xiaojuan Wang; Lei Jin; Guoli Wang 004; Qian Zhang 009 (AAAI, 2022)

Single-Stage is Enough: Multi-Person Absolute 3D Pose Estimation. - Lei Jin 003; Chenyang Xu; Xiaojuan Wang; Yabo Xiao; Yandong Guo; Xuecheng Nie; Jian Zhao 006 (CVPR, 2022)

QueryPose: Sparse Multi-Person Pose Regression via Spatial-Aware Part-Level Query. - Yabo Xiao; Kai Su; Xiaojuan Wang; Dongdong Yu; Lei Jin 003; Mingshu He; Zehuan Yuan (NeurIPS, 2022)

AdaptivePose++: A Powerful Single-Stage Network for Multi-Person Pose Regression. - Yabo Xiao; Xiaojuan Wang; Dongdong Yu; Kai Su; Lei Jin 003; Mei Song; Shuicheng Yan; Jian Zhao 006 (CoRR, 2022)

Global-To-Pixel Regression for Human Mesh Recovery. - Yabo Xiao; Mingshu He; Dongdong Yu (ECCV (16), 2024)