activity
20152022
most citedComplex Background Subtraction by Pursuing Dynamic Spatio-Temporal Models

75 citations · 199 across the 6 of their papers we have counts for

collaborators

7 papers

cs.CV2020

UNOC: Understanding Occlusion for Embodied Presence in Virtual Reality

Mathias Parger, Chengcheng Tang, Yuanlu Xu +5

Tracking body and hand motions in the 3D space is essential for social and self-presence in augmented and virtual environments. Unlike the popular 3D pose estimation setting, the p…

cs.GR202012 cited

ARCH: Animatable Reconstruction of Clothed Humans

Zeng Huang, Yuanlu Xu, Christoph Lassner +2

In this paper, we propose ARCH (Animatable Reconstruction of Clothed Humans), a novel end-to-end framework for accurate reconstruction of animation-ready 3D clothed humans from a m…

cs.CV201916 cited

DenseRaC: Joint 3D Pose and Shape Estimation by Dense Render-and-Compare

Yuanlu Xu, Song-Chun Zhu, Tony Tung

We present DenseRaC, a novel end-to-end framework for jointly estimating 3D human pose and body shape from a monocular RGB image. Our two-step framework takes the body pixel-to-sur…

cs.CV2018

Holistic 3D Scene Parsing and Reconstruction from a Single RGB Image

Siyuan Huang, Siyuan Qi, Yixin Zhu +3

We propose a computational framework to jointly parse a single RGB image and reconstruct a holistic 3D configuration composed by a set of CAD models using a stochastic grammar mode…

cs.CV201732 cited

Learning Pose Grammar to Encode Human Body Configuration for 3D Pose Estimation

Haoshu Fang, Yuanlu Xu, Wenguan Wang +2

In this paper, we propose a pose grammar to tackle the problem of 3D human pose estimation. Our model directly takes 2D pose as input and learns a generalized 2D-3D mapping functio…

cs.CV201575 cited

Complex Background Subtraction by Pursuing Dynamic Spatio-Temporal Models

Liang Lin, Yuanlu Xu, Xiaodan Liang +1

Although it has been widely discussed in video surveillance, background subtraction is still an open problem in the context of complex scenarios, e.g., dynamic backgrounds, illumin…