activity
20192021
most citedAction2Motion: Conditioned Generation of 3D Human Motions

366 citations · 407 across the 6 of their papers we have counts for

collaborators

7 papers

cs.CV20211 cited

EventHPE: Event-based 3D Human Pose and Shape Estimation

Shihao Zou, Chuan Guo, Xinxin Zuo +6

Event camera is an emerging imaging sensor for capturing dynamics of moving objects as events, which motivates our work in estimating 3D human pose and shape from the event signals…

cs.CV2021

Detailed Avatar Recovery from Single Image

Hao Zhu, Xinxin Zuo, Haotian Yang +3

This paper presents a novel framework to recover \emph{detailed} avatar from a single image. It is a challenging task due to factors such as variations in human shapes, body poses,…

cs.CV2020366 cited

Action2Motion: Conditioned Generation of 3D Human Motions

Chuan Guo, Xinxin Zuo, Sen Wang +5

Action recognition is a relatively established task, where givenan input sequence of human motion, the goal is to predict its ac-tion category. This paper, on the other hand, consi…

cs.CV20201 cited

3D Human Shape Reconstruction from a Polarization Image

Shihao Zou, Xinxin Zuo, Yiming Qian +4

This paper tackles the problem of estimating 3D body shape of clothed humans from single polarized 2D images, i.e. polarization images. Polarization images are known to be able to…

cs.CV202029 cited

SparseFusion: Dynamic Human Avatar Modeling from Sparse RGBD Images

Xinxin Zuo, Sen Wang, Jiangbin Zheng +4

In this paper, we propose a novel approach to reconstruct 3D human body shapes based on a sparse set of RGBD frames using a single RGBD camera. We specifically focus on the realist…

cs.CV2020

Polarization Human Shape and Pose Dataset

Shihao Zou, Xinxin Zuo, Yiming Qian +5

Polarization images are known to be able to capture polarized reflected lights that preserve rich geometric cues of an object, which has motivated its recent applications in recons…