Search Results for author: Juyong Zhang

Found 39 papers, 18 papers with code

A Robust Loss for Point Cloud Registration

no code implementations ICCV 2021 Zhi Deng, Yuxin Yao, Bailin Deng, Juyong Zhang

The performance of surface registration relies heavily on the metric used for the alignment error between the source and target shapes.

Point Cloud Registration

Prior-Guided Multi-View 3D Head Reconstruction

no code implementations9 Jul 2021 Xueying Wang, Yudong Guo, Zhongqi Yang, Juyong Zhang

Extensive ablation studies and comparisons with state-of-the-art methods demonstrate that our method can generate high-fidelity 3D head geometries with the guidance of these priors.

Neural Rendering Semantic Segmentation

High-Resolution Optical Flow from 1D Attention and Correlation

1 code implementation ICCV 2021 Haofei Xu, Jiaolong Yang, Jianfei Cai, Juyong Zhang, Xin Tong

Optical flow is inherently a 2D search problem, and thus the computational complexity grows quadratically with respect to the search window, making large displacements matching infeasible for high-resolution images.

Optical Flow Estimation

StereoPIFu: Depth Aware Clothed Human Digitization via Stereo Vision

no code implementations CVPR 2021 Yang Hong, Juyong Zhang, Boyi Jiang, Yudong Guo, Ligang Liu, Hujun Bao

In this paper, we propose StereoPIFu, which integrates the geometric constraints of stereo vision with implicit function representation of PIFu, to recover the 3D shape of the clothed human from a pair of low-cost rectified images.

AD-NeRF: Audio Driven Neural Radiance Fields for Talking Head Synthesis

1 code implementation ICCV 2021 Yudong Guo, Keyu Chen, Sen Liang, Yong-Jin Liu, Hujun Bao, Juyong Zhang

Generating high-fidelity talking head video by fitting with the input audio sequence is a challenging problem that receives considerable attentions recently.

ParaNet: Deep Regular Representation for 3D Point Clouds

no code implementations5 Dec 2020 Qijian Zhang, Junhui Hou, Yue Qian, Juyong Zhang, Ying He

Although convolutional neural networks have achieved remarkable success in analyzing 2D images/videos, it is still non-trivial to apply the well-developed 2D techniques in regular domains to the irregular 3D point cloud data.

Recurrent Multi-view Alignment Network for Unsupervised Surface Registration

1 code implementation CVPR 2021 Wanquan Feng, Juyong Zhang, Hongrui Cai, Haofei Xu, Junhui Hou, Hujun Bao

Learning non-rigid registration in an end-to-end manner is challenging due to the inherent high degrees of freedom and the lack of labeled training data.

Deformable Object Manipulation Neural Rendering +1

Modeling Caricature Expressions by 3D Blendshape and Dynamic Texture

no code implementations13 Aug 2020 Keyu Chen, Jianmin Zheng, Jianfei Cai, Juyong Zhang

The problem of deforming an artist-drawn caricature according to a given normal face expression is of interest in applications such as social media, animation and entertainment.

Caricature Texture Synthesis

Facial Expression Retargeting from Human to Avatar Made Easy

1 code implementation12 Aug 2020 Juyong Zhang, Keyu Chen, Jianmin Zheng

Then we construct correspondences between the two latent spaces guided by geometric and perceptual constraints.

Geometric Matching Translation

Fast and Robust Iterative Closest Point

1 code implementation15 Jul 2020 Juyong Zhang, Yuxin Yao, Bailin Deng

On challenging datasets with noises and partial overlaps, we achieve similar or better accuracy than Sparse ICP while being at least an order of magnitude faster.

3D Reconstruction

Learning Hierarchical Review Graph Representations for Recommendation

no code implementations24 Apr 2020 Yong liu, Susen Yang, Yinan Zhang, Chunyan Miao, Zaiqing Nie, Juyong Zhang

Therefore, they may not be effective in capturing the global dependency between words, and tend to be easily biased by noise review information.

Graph Attention

Contextualized Graph Attention Network for Recommendation with Item Knowledge Graph

no code implementations24 Apr 2020 Susen Yang, Yong liu, Yonghui Xu, Chunyan Miao, Min Wu, Juyong Zhang

Graph neural networks (GNN) have recently been applied to exploit knowledge graph (KG) for recommendation.

Graph Attention

Landmark Detection and 3D Face Reconstruction for Caricature using a Nonlinear Parametric Model

1 code implementation20 Apr 2020 Hongrui Cai, Yudong Guo, Zhuang Peng, Juyong Zhang

To this end, we first build a dataset with various styles of 2D caricatures and their corresponding 3D shapes, and then build a parametric model on vertex based deformation space for 3D caricature face.

3D Face Reconstruction Caricature

Quasi-Newton Solver for Robust Non-Rigid Registration

1 code implementation CVPR 2020 Yuxin Yao, Bailin Deng, Weiwei Xu, Juyong Zhang

Imperfect data (noise, outliers and partial overlap) and high degrees of freedom make non-rigid registration a classical challenging problem in computer vision.

BCNet: Learning Body and Cloth Shape from A Single Image

1 code implementation ECCV 2020 Boyi Jiang, Juyong Zhang, Yang Hong, Jinhao Luo, Ligang Liu, Hujun Bao

In this paper, we consider the problem to automatically reconstruct garment and body shapes from a single near-front view RGB image.

Lightweight Photometric Stereo for Facial Details Recovery

1 code implementation CVPR 2020 Xueying Wang, Yudong Guo, Bailin Deng, Juyong Zhang

Recently, 3D face reconstruction from a single image has achieved great success with the help of deep learning and shape prior knowledge, but they often fail to produce accurate geometry details.

3D Face Reconstruction Data Augmentation

3D-CariGAN: An End-to-End Solution to 3D Caricature Generation from Face Photos

no code implementations15 Mar 2020 Zipeng Ye, Ran Yi, Minjing Yu, Juyong Zhang, Yu-Kun Lai, Yong-Jin Liu

In this paper, we propose an end-to-end deep neural network model to generate high-quality 3D caricature with a simple face photo as input.


Audio-driven Talking Face Video Generation with Learning-based Personalized Head Pose

1 code implementation24 Feb 2020 Ran Yi, Zipeng Ye, Juyong Zhang, Hujun Bao, Yong-Jin Liu

In this paper, we address this problem by proposing a deep neural network model that takes an audio signal A of a source person and a very short video V of a target person as input, and outputs a synthesized high-quality talking face video with personalized head pose (making use of the visual information in V), expression and lip synchronization (by considering both A and V).

3D Face Animation Video Generation

Bandit Learning for Diversified Interactive Recommendation

no code implementations1 Jul 2019 Yong Liu, Yingtai Xiao, Qiong Wu, Chunyan Miao, Juyong Zhang

Interactive recommender systems that enable the interactions between users and the recommender system have attracted increasing research attentions.

Bayesian Inference Recommendation Systems

3D Magic Mirror: Automatic Video to 3D Caricature Translation

no code implementations3 Jun 2019 Yudong Guo, Luo Jiang, Lin Cai, Juyong Zhang

Caricature is an abstraction of a real person which distorts or exaggerates certain features, but still retains a likeness.

Caricature Translation

Disentangled Human Body Embedding Based on Deep Hierarchical Neural Network

1 code implementation14 May 2019 Boyi Jiang, Juyong Zhang, Jianfei Cai, Jianmin Zheng

Human bodies exhibit various shapes for different identities or poses, but the body shape has certain similarities in structure and thus can be embedded in a low-dimensional space.

Representation Learning

Disentangled Representation Learning for 3D Face Shape

1 code implementation CVPR 2019 Zi-Hang Jiang, Qianyi Wu, Keyu Chen, Juyong Zhang

In this paper, we present a novel strategy to design disentangled 3D face shape representation.

Representation Learning

Region Deformer Networks for Unsupervised Depth Estimation from Unconstrained Monocular Videos

1 code implementation26 Feb 2019 Haofei Xu, Jianmin Zheng, Jianfei Cai, Juyong Zhang

In this paper, we propose a new learning based method consisting of DepthNet, PoseNet and Region Deformer Networks (RDN) to estimate depth from unconstrained monocular videos without ground truth supervision.

Depth Estimation

Real-time 3D Face-Eye Performance Capture of a Person Wearing VR Headset

no code implementations21 Jan 2019 Guoxian Song, Jianfei Cai, Tat-Jen Cham, Jianmin Zheng, Juyong Zhang, Henry Fuchs

Teleconference or telepresence based on virtual reality (VR) headmount display (HMD) device is a very interesting and promising application since HMD can provide immersive feelings for users.

Virtual Reality

Parallel and Scalable Heat Methods for Geodesic Distance Computation

1 code implementation14 Dec 2018 Jiong Tao, Juyong Zhang, Bailin Deng, Zheng Fang, Yue Peng, Ying He

In this paper, we propose a parallel and scalable approach for geodesic distance computation on triangle meshes.


Robust RGB-D Face Recognition Using Attribute-Aware Loss

no code implementations24 Nov 2018 Luo Jiang, Juyong Zhang, Bailin Deng

Existing convolutional neural network (CNN) based face recognition algorithms typically learn a discriminative feature mapping, using a loss function that enforces separation of features from different classes and/or aggregation of features within the same class.

Face Recognition

3D Face From X: Learning Face Shape from Diverse Sources

no code implementations16 Aug 2018 Yudong Guo, Lin Cai, Juyong Zhang

Although 3D scanned data contain accurate geometric information of face shapes, the capture system is expensive and such datasets usually contain a small number of subjects.

3D FACE MODELING 3D Face Reconstruction +1

Fast K-Means Clustering with Anderson Acceleration

no code implementations27 May 2018 Juyong Zhang, Yuxin Yao, Yue Peng, Hao Yu, Bailin Deng

We propose a novel method to accelerate Lloyd's algorithm for K-Means clustering.

Alive Caricature from 2D to 3D

1 code implementation CVPR 2018 Qianyi Wu, Juyong Zhang, Yu-Kun Lai, Jianmin Zheng, Jianfei Cai

Caricature is an art form that expresses subjects in abstract, simple and exaggerated view.


Conditional Adversarial Synthesis of 3D Facial Action Units

no code implementations21 Feb 2018 Zhilei Liu, Guoxian Song, Jianfei Cai, Tat-Jen Cham, Juyong Zhang

Employing deep learning-based approaches for fine-grained facial expression analysis, such as those involving the estimation of Action Unit (AU) intensities, is difficult due to the lack of a large-scale dataset of real faces with sufficiently diverse AU labels for training.

Data Augmentation Image Generation

Static/Dynamic Filtering for Mesh Geometry

2 code implementations10 Dec 2017 Juyong Zhang, Bailin Deng, Yang Hong, Yue Peng, Wenjie Qin, Ligang Liu

Extensive experimental results demonstrate the effectiveness of the proposed filter for various geometry processing applications such as mesh denoising, geometry feature enhancement, and texture color filtering.


Deep Face Feature for Face Alignment

no code implementations9 Aug 2017 Boyi Jiang, Juyong Zhang, Bailin Deng, Yudong Guo, Ligang Liu

The deep face feature (DFF) is trained using correspondence between face images rendered from different views.

Face Alignment Robust Face Alignment

CNN-based Real-time Dense Face Reconstruction with Inverse-rendered Photo-realistic Face Images

no code implementations3 Aug 2017 Yudong Guo, Juyong Zhang, Jianfei Cai, Boyi Jiang, Jianmin Zheng

With the powerfulness of convolution neural networks (CNN), CNN based face reconstruction has recently shown promising performance in reconstructing detailed face shape from 2D face images.

3D Face Reconstruction Face Model

3D Face Reconstruction with Geometry Details from a Single Image

no code implementations18 Feb 2017 Luo Jiang, Juyong Zhang, Bailin Deng, Hao Li, Ligang Liu

3D face reconstruction from a single image is a classical and challenging problem, with wide applications in many areas.

3D Face Reconstruction Face Model

Recovering Surface Details under General Unknown Illumination Using Shading and Coarse Multi-view Stereo

no code implementations CVPR 2014 Di Xu, Qi Duan, Jianming Zheng, Juyong Zhang, Jianfei Cai, Tat-Jen Cham

As a result, our approach is robust, stable and is able to efficiently recover high quality of surface details even starting with a coarse MVS.

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