9 citations · 28 across the 9 of their papers we have counts for
9 papers
Motion Capture from Inertial and Vision Sensors
Xiaodong Chen, Wu Liu, Qian Bao +4
Human motion capture is the foundation for many computer vision and graphics tasks. While industrial motion capture systems with complex camera arrays or expensive wearable sensors…
TRACE: 5D Temporal Regression of Avatars with Dynamic Cameras in 3D Environments
Yu Sun, Qian Bao, Wu Liu +2
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 critic…
DPIT: Dual-Pipeline Integrated Transformer for Human Pose Estimation
Shuaitao Zhao, Kun Liu, Yuhang Huang +3
Human pose estimation aims to figure out the keypoints of all people in different scenes. Current approaches still face some challenges despite promising results. Existing top-down…
WOC: A Handy Webcam-based 3D Online Chatroom
Chuanhang Yan, Yu Sun, Qian Bao +3
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…
Smart Director: An Event-Driven Directing System for Live Broadcasting
Yingwei Pan, Yue Chen, Qian Bao +4
Live video broadcasting normally requires a multitude of skills and expertise with domain knowledge to enable multi-camera productions. As the number of cameras keep increasing, di…
Putting People in their Place: Monocular Regression of 3D People in Depth
Yu Sun, Wu Liu, Qian Bao +3
Given an image with multiple people, our goal is to directly regress the pose and shape of all the people as well as their relative depth. Inferring the depth of a person in an ima…
Recent Advances in Monocular 2D and 3D Human Pose Estimation: A Deep Learning Perspective
Wu Liu, Qian Bao, Yu Sun +1
Estimation of the human pose from a monocular camera has been an emerging research topic in the computer vision community with many applications. Recently, benefited from the deep…
Synthetic Training for Monocular Human Mesh Recovery
Yu Sun, Qian Bao, Wu Liu +4
Recovering 3D human mesh from monocular images is a popular topic in computer vision and has a wide range of applications. This paper aims to estimate 3D mesh of multiple body part…
Monocular, One-stage, Regression of Multiple 3D People
Yu Sun, Qian Bao, Wu Liu +3
This paper focuses on the regression of multiple 3D people from a single RGB image. Existing approaches predominantly follow a multi-stage pipeline that first detects people in bou…