Search Results for author: Yuanlu Xu

Found 14 papers, 3 papers with code

Data-Driven 3D Reconstruction of Dressed Humans From Sparse Views

1 code implementation16 Apr 2021 Pierre Zins, Yuanlu Xu, Edmond Boyer, Stefanie Wuhrer, Tony Tung

We propose a data-driven end-to-end approach that reconstructs an implicit 3D representation of dressed humans from sparse camera views.

3D Reconstruction

ARCH: Animatable Reconstruction of Clothed Humans

no code implementations CVPR 2020 Zeng Huang, Yuanlu Xu, Christoph Lassner, Hao Li, Tony Tung

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 monocular image.

3D Object Reconstruction From A Single Image 3D Reconstruction

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

no code implementations ICCV 2019 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.

Ranked #36 on 3D Human Pose Estimation on Human3.6M (using extra training data)

3D Human Pose Estimation

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

1 code implementation ECCV 2018 Siyuan Huang, Siyuan Qi, Yixin Zhu, Yinxue Xiao, Yuanlu Xu, Song-Chun Zhu

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 model.

Monocular 3D Object Detection Object Localization +3

Attentive Fashion Grammar Network for Fashion Landmark Detection and Clothing Category Classification

1 code implementation CVPR 2018 Wenguan Wang, Yuanlu Xu, Jianbing Shen, Song-Chun Zhu

This paper proposes a knowledge-guided fashion network to solve the problem of visual fashion analysis, e. g., fashion landmark localization and clothing category classification.

General Classification

Scene-centric Joint Parsing of Cross-view Videos

no code implementations16 Sep 2017 Hang Qi, Yuanlu Xu, Tao Yuan, Tianfu Wu, Song-Chun Zhu

The proposed joint parsing framework represents such correlations and constraints explicitly and generates semantic scene-centric parse graphs.

Video Understanding

A Causal And-Or Graph Model for Visibility Fluent Reasoning in Tracking Interacting Objects

no code implementations CVPR 2018 Yuanlu Xu, Lei Qin, Xiaobai Liu, Jianwen Xie, Song-Chun Zhu

We introduce a Causal And-Or Graph (C-AOG) to represent the causal-effect relations between an object's visibility fluent and its activities, and develop a probabilistic graph model to jointly reason the visibility fluent change (e. g., from visible to invisible) and track humans in videos.

Visual Tracking

Complex Background Subtraction by Pursuing Dynamic Spatio-Temporal Models

no code implementations2 Feb 2015 Liang Lin, Yuanlu Xu, Xiaodan Liang, Jian-Huang Lai

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, illumination variations, and indistinct foreground objects.

Human Re-identification by Matching Compositional Template with Cluster Sampling

no code implementations1 Feb 2015 Yuanlu Xu, Liang Lin, Wei-Shi Zheng, Xiaobai Liu

This paper aims at a newly raising task in visual surveillance: re-identifying people at a distance by matching body information, given several reference examples.

Person Re-Identification

Cannot find the paper you are looking for? You can Submit a new open access paper.