1 code implementation • CVPR 2022 • Wang Zeng, Sheng Jin, Wentao Liu, Chen Qian, Ping Luo, Wanli Ouyang, Xiaogang Wang
Vision transformers have achieved great successes in many computer vision tasks.
Ranked #10 on
3D Human Pose Estimation
on 3DPW
1 code implementation • 9 Mar 2022 • Wentao Liu, Tong Tian, Weijin Xu, Huihua Yang, Xipeng Pan
In this paper, we propose a novel hybrid architecture for medical image segmentation called PHTrans, which parallelly hybridizes Transformer and CNN in main building blocks to produce hierarchical representations from global and local features and adaptively aggregate them, aiming to fully exploit their strengths to obtain better segmentation performance.
no code implementations • ICLR 2022 • Can Wang, Sheng Jin, Yingda Guan, Wentao Liu, Chen Qian, Ping Luo, Wanli Ouyang
PL approaches apply pseudo-labels to unlabeled data, and then train the model with a combination of the labeled and pseudo-labeled data iteratively.
1 code implementation • 25 Nov 2021 • Jiachen Xu, Min Wang, Jingyu Gong, Wentao Liu, Chen Qian, Yuan Xie, Lizhuang Ma
Prior plays an important role in providing the plausible constraint on human motion.
1 code implementation • 10 Nov 2021 • Honglei Su, Qi Liu, Zhengfang Duanmu, Wentao Liu, Zhou Wang
In this work, we first build a large 3D point cloud database for subjective and objective quality assessment of point clouds.
1 code implementation • 14 Sep 2021 • Hanning Yu, Wentao Liu, Chengjiang Long, Bo Dong, Qin Zou, Chunxia Xiao
Based on this observation, we propose a novel normalization method called " HDR calibration " for HDR images stored in relative luminance, calibrating HDR images into a similar luminance scale according to the LDR images.
no code implementations • ICCV 2021 • Size Wu, Sheng Jin, Wentao Liu, Lei Bai, Chen Qian, Dong Liu, Wanli Ouyang
Following the top-down paradigm, we decompose the task into two stages, i. e. person localization and pose estimation.
Ranked #2 on
3D Multi-Person Pose Estimation
on Shelf
no code implementations • 8 Aug 2021 • Rongrong Gao, Na Fan, Changlin Li, Wentao Liu, Qifeng Chen
We present a novel approach to joint depth and normal estimation for time-of-flight (ToF) sensors.
3 code implementations • ICCV 2021 • Jiefeng Li, Siyuan Bian, Ailing Zeng, Can Wang, Bo Pang, Wentao Liu, Cewu Lu
In light of this, we propose a novel regression paradigm with Residual Log-likelihood Estimation (RLE) to capture the underlying output distribution.
Ranked #45 on
3D Human Pose Estimation
on Human3.6M
2 code implementations • CVPR 2021 • Lumin Xu, Yingda Guan, Sheng Jin, Wentao Liu, Chen Qian, Ping Luo, Wanli Ouyang, Xiaogang Wang
Human pose estimation has achieved significant progress in recent years.
1 code implementation • CVPR 2021 • Jiahang Wang, Sheng Jin, Wentao Liu, Weizhong Liu, Chen Qian, Ping Luo
However, unlike human vision that is robust to various data corruptions such as blur and pixelation, current pose estimators are easily confused by these corruptions.
no code implementations • 30 Jan 2021 • Zhengfang Duanmu, Wentao Liu, Zhongling Wang, Zhou Wang
Image quality assessment (IQA) models aim to establish a quantitative relationship between visual images and their perceptual quality by human observers.
no code implementations • ECCV 2020 • Jianan Zhen, Qi Fang, Jiaming Sun, Wentao Liu, Wei Jiang, Hujun Bao, Xiaowei Zhou
Recovering multi-person 3D poses with absolute scales from a single RGB image is a challenging problem due to the inherent depth and scale ambiguity from a single view.
3D Depth Estimation
3D Multi-Person Pose Estimation (absolute)
+2
no code implementations • ECCV 2020 • Jiefeng Li, Can Wang, Wentao Liu, Chen Qian, Cewu Lu
The HMOR encodes interaction information as the ordinal relations of depths and angles hierarchically, which captures the body-part and joint level semantic and maintains global consistency at the same time.
3D Human Pose Estimation
3D Multi-Person Pose Estimation (absolute)
+3
no code implementations • ECCV 2020 • Sheng Jin, Wentao Liu, Enze Xie, Wenhai Wang, Chen Qian, Wanli Ouyang, Ping Luo
The modules of HGG can be trained end-to-end with the keypoint detection network and is able to supervise the grouping process in a hierarchical manner.
Ranked #3 on
2D Human Pose Estimation
on OCHuman
2 code implementations • ECCV 2020 • Sheng Jin, Lumin Xu, Jin Xu, Can Wang, Wentao Liu, Chen Qian, Wanli Ouyang, Ping Luo
This paper investigates the task of 2D human whole-body pose estimation, which aims to localize dense landmarks on the entire human body including face, hands, body, and feet.
Ranked #2 on
2D Human Pose Estimation
on COCO-WholeBody
1 code implementation • CVPR 2020 • Wang Zeng, Wanli Ouyang, Ping Luo, Wentao Liu, Xiaogang Wang
This paper proposes a model-free 3D human mesh estimation framework, named DecoMR, which explicitly establishes the dense correspondence between the mesh and the local image features in the UV space (i. e. a 2D space used for texture mapping of 3D mesh).
Ranked #1 on
3D Human Reconstruction
on Surreal
no code implementations • 20 May 2020 • Gereon Fox, Wentao Liu, Hyeongwoo Kim, Hans-Peter Seidel, Mohamed Elgharib, Christian Theobalt
We introduce a new benchmark dataset for face video forgery detection, of unprecedented quality.
3 code implementations • ECCV 2020 • Haodong Duan, Yue Zhao, Yuanjun Xiong, Wentao Liu, Dahua Lin
Then a joint-training strategy is proposed to deal with the domain gaps between multiple data sources and formats in webly-supervised learning.
Ranked #2 on
Action Recognition
on UCF101
(using extra training data)
no code implementations • 24 Mar 2020 • Min Wang, Feng Qiu, Wentao Liu, Chen Qian, Xiaowei Zhou, Lizhuang Ma
In this paper, we introduce body part segmentation as critical supervision.
Ranked #51 on
3D Human Pose Estimation
on Human3.6M
(PA-MPJPE metric)
2 code implementations • ICCV 2019 • Haodong Duan, Kwan-Yee Lin, Sheng Jin, Wentao Liu, Chen Qian, Wanli Ouyang
In this paper, we propose the Triplet Representation for Body (TRB) -- a compact 2D human body representation, with skeleton keypoints capturing human pose information and contour keypoints containing human shape information.
no code implementations • 26 May 2019 • Mohamed Elgharib, Mallikarjun BR, Ayush Tewari, Hyeongwoo Kim, Wentao Liu, Hans-Peter Seidel, Christian Theobalt
Our lightweight setup allows operations in uncontrolled environments, and lends itself to telepresence applications such as video-conferencing from dynamic environments.
no code implementations • 13 Apr 2019 • Kede Ma, Wentao Liu, Tongliang Liu, Zhou Wang, DaCheng Tao
One of the biggest challenges in learning BIQA models is the conflict between the gigantic image space (which is in the dimension of the number of image pixels) and the extremely limited reliable ground truth data for training.
no code implementations • CVPR 2019 • Sheng Jin, Wentao Liu, Wanli Ouyang, Chen Qian
Our framework consists of two main components,~\ie~SpatialNet and TemporalNet.
no code implementations • CVPR 2019 • Xipeng Chen, Kwan-Yee Lin, Wentao Liu, Chen Qian, Xiaogang Wang, Liang Lin
Recent studies have shown remarkable advances in 3D human pose estimation from monocular images, with the help of large-scale in-door 3D datasets and sophisticated network architectures.
no code implementations • 15 Mar 2019 • Wei Feng, Wentao Liu, Tong Li, Jing Peng, Chen Qian, Xiaolin Hu
Human-object interactions (HOI) recognition and pose estimation are two closely related tasks.
2 code implementations • ECCV 2018 • Qingqiu Huang, Wentao Liu, Dahua Lin
In real-world applications, e. g. law enforcement and video retrieval, one often needs to search a certain person in long videos with just one portrait.
no code implementations • 23 May 2018 • Min Wang, Xipeng Chen, Wentao Liu, Chen Qian, Liang Lin, Lizhuang Ma
In this paper, we propose a two-stage depth ranking based method (DRPose3D) to tackle the problem of 3D human pose estimation.