no code implementations • 1 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.
no code implementations • 2 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.
no code implementations • CVPR 2016 • Yuanlu Xu, Xiaobai Liu, Yang Liu, Song-Chun Zhu
This paper presents a hierarchical composition approach for multi-view object tracking.
no code implementations • 16 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.
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.
no code implementations • 17 Oct 2017 • Hao-Shu Fang, Yuanlu Xu, Wenguan Wang, Xiaobai Liu, Song-Chun Zhu
In this paper, we propose a pose grammar to tackle the problem of 3D human pose estimation.
Ranked #1 on 3D Absolute Human Pose Estimation on Human3.6M (Average MPJPE (mm) metric)
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.
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.
Ranked #4 on Monocular 3D Object Detection on SUN RGB-D (AP@0.15 (10 / PNet-30) metric)
no code implementations • IEEE Transactions on Pattern Analysis and Machine Intelligence 2019 • Yuanlu Xu, Wenguan Wang, Xiaobai Liu, Jianwen Xie, Song-Chun Zhu
In this paper, we propose a pose grammar to tackle the problem of 3D human pose estimation from a monocular RGB image.
Ranked #13 on 3D Human Pose Estimation on HumanEva-I
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 #79 on 3D Human Pose Estimation on MPI-INF-3DHP (using extra training data)
1 code implementation • 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.
Ranked #3 on 3D Object Reconstruction From A Single Image on BUFF
3D Object Reconstruction From A Single Image 3D Reconstruction
no code implementations • 12 Nov 2020 • Mathias Parger, Chengcheng Tang, Yuanlu Xu, Christopher Twigg, Lingling Tao, Yijing Li, Robert Wang, Markus Steinberger
Tracking body and hand motions in the 3D space is essential for social and self-presence in augmented and virtual environments.
1 code implementation • 16 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.
no code implementations • ICCV 2021 • Tong He, Yuanlu Xu, Shunsuke Saito, Stefano Soatto, Tony Tung
We present ARCH++, an image-based method to reconstruct 3D avatars with arbitrary clothing styles.
Ranked #1 on 3D Object Reconstruction From A Single Image on RenderPeople (using extra training data)
3D Object Reconstruction From A Single Image Image-to-Image Translation
no code implementations • CVPR 2022 • Anastasia Ianina, Nikolaos Sarafianos, Yuanlu Xu, Ignacio Rocco, Tony Tung
Dense correspondence between humans carries powerful semantic information that can be utilized to solve fundamental problems for full-body understanding such as in-the-wild surface matching, tracking and reconstruction.
1 code implementation • 9 Jul 2022 • Shihao Zou, Yuanlu Xu, Chao Li, Lingni Ma, Li Cheng, Minh Vo
In this paper, we propose Snipper, a unified framework to perform multi-person 3D pose estimation, tracking, and motion forecasting simultaneously in a single stage.
no code implementations • CVPR 2023 • Pierre Zins, Yuanlu Xu, Edmond Boyer, Stefanie Wuhrer, Tony Tung
Our approach bridges the gap between the two strategies with a novel volumetric shape representation that is implicit but parameterized with pixel depths to better materialize the shape surface with consistent signed distances along viewing rays.
1 code implementation • CVPR 2023 • Anna Frühstück, Nikolaos Sarafianos, Yuanlu Xu, Peter Wonka, Tony Tung
Our experiments demonstrate that VIVE3D generates high-fidelity face edits at consistent quality from a range of camera viewpoints which are composited with the original video in a temporally and spatially consistent manner.
no code implementations • ICCV 2023 • Yuxuan Xue, Bharat Lal Bhatnagar, Riccardo Marin, Nikolaos Sarafianos, Yuanlu Xu, Gerard Pons-Moll, Tony Tung
Compared to existing approaches, our method eliminates the expensive per-frame surface extraction while maintaining mesh coherency, and is capable of reconstructing meshes with arbitrary resolution without retraining.
no code implementations • 28 Dec 2023 • Angtian Wang, Yuanlu Xu, Nikolaos Sarafianos, Robert Maier, Edmond Boyer, Alan Yuille, Tony Tung
This representation is composed of two surface layers that represent opaque and translucent regions on the clothed human body.
no code implementations • 16 Jan 2024 • Siwei Zhang, Bharat Lal Bhatnagar, Yuanlu Xu, Alexander Winkler, Petr Kadlecek, Siyu Tang, Federica Bogo
We apply RoHM to a variety of tasks -- from motion reconstruction and denoising to spatial and temporal infilling.
no code implementations • 15 Mar 2024 • Marco Pesavento, Yuanlu Xu, Nikolaos Sarafianos, Robert Maier, Ziyan Wang, Chun-Han Yao, Marco Volino, Edmond Boyer, Adrian Hilton, Tony Tung
In this paper, we explore the benefits of incorporating depth observations in the reconstruction process by introducing ANIM, a novel method that reconstructs arbitrary 3D human shapes from single-view RGB-D images with an unprecedented level of accuracy.