3 code implementations • CVPR 2023 • Yu Sun, Qian Bao, Wu Liu, Tao Mei, Michael J. Black
Although the estimation of 3D human pose and shape (HPS) is rapidly progressing, current methods still cannot reliably estimate moving humans in global coordinates, which is critical for many applications.
Ranked #48 on 3D Human Pose Estimation on 3DPW
no code implementations • 2 Sep 2022 • Chuanhang Yan, Yu Sun, Qian Bao, Jinhui Pang, Wu Liu, Tao Mei
We develop WOC, a webcam-based 3D virtual online chatroom for multi-person interaction, which captures the 3D motion of users and drives their individual 3D virtual avatars in real-time.
no code implementations • 2 Sep 2022 • Shuaitao Zhao, Kun Liu, Yuhang Huang, Qian Bao, Dan Zeng, Wu Liu
Human pose estimation aims to figure out the keypoints of all people in different scenes.
Ranked #22 on Pose Estimation on COCO test-dev
no code implementations • 11 Jan 2022 • Yingwei Pan, Yue Chen, Qian Bao, Ning Zhang, Ting Yao, Jingen Liu, Tao Mei
To our best knowledge, our system is the first end-to-end automated directing system for multi-camera sports broadcasting, completely driven by the semantic understanding of sports events.
4 code implementations • CVPR 2022 • Yu Sun, Wu Liu, Qian Bao, Yili Fu, Tao Mei, Michael J. Black
To do so, we exploit a 3D body model space that lets BEV infer shapes from infants to adults.
Ranked #1 on 3D Depth Estimation on Relative Human (using extra training data)
no code implementations • 23 Apr 2021 • Wu Liu, Qian Bao, Yu Sun, Tao Mei
We believe this survey will provide the readers with a deep and insightful understanding of monocular human pose estimation.
1 code implementation • ICCV 2021 • Dan Zeng, Yuhang Huang, Qian Bao, Junjie Zhang, Chi Su, Wu Liu
With the spirit of NAS, we propose to search for an efficient network architecture (NPPNet) to tackle two tasks at the same time.
no code implementations • 27 Oct 2020 • Yu Sun, Qian Bao, Wu Liu, Wenpeng Gao, Yili Fu, Chuang Gan, Tao Mei
To solve this problem, we design a multi-branch framework to disentangle the regression of different body properties, enabling us to separate each component's training in a synthetic training manner using unpaired data available.
2 code implementations • ICCV 2021 • Yu Sun, Qian Bao, Wu Liu, Yili Fu, Michael J. Black, Tao Mei
Through a body-center-guided sampling process, the body mesh parameters of all people in the image are easily extracted from the Mesh Parameter map.
Ranked #1 on 3D Multi-Person Mesh Recovery on Relative Human (using extra training data)