Weize QUAN （全卫泽）


State Key Laboratory of Multimodal Artificial Intelligence Systems
Institute of Automation Chinese Academy of Sciences

Email: qweizework AT gmail.com

Biography

I am currently an Associate Professor at State Key Laboratory of Multimodal Artificial Intelligence Systems, Institute of Automation Chinese Academy of Sciences. I earned my PhD in 2020 from NLPR, CASIA, advised by Prof. Xiaopeng Zhang and Prof. Dong-Ming Yan; and from GIPSA-Lab, UGA, France, advised by Prof. Denis Pellerin and Dr. Kai Wang. Before that, I received my Bachelor's degree from Wuhan University of Technology in 2014.

My research interest includes computer graphics, multimodal content understanding and generation, and image forensics.

I am constantly looking for self-motivated PhD, MSc, and research interns. Welcome, send me your CV via email.

Publications

(#Joint first authors, *Corresponding author)

 VQ-CAD: Computer-Aided Design Model Generation with Vector Quantized Diffusion
Hanxiao Wang, Mingyang Zhao*, Yiqun Wang, Weize Quan*, Dong-Ming Yan
Computer Aided Geometric Design, 2024
[PDF]
Neural Parametric Human Hand Modeling with Point Cloud Representation
Jian Yang, Weize Quan, Zhen Shen, Dong-Ming Yan, Huai-Yu Wu
International Conference on Multimedia Retrieval, 2024
[PDF]
Deep Learning-based Image and Video Inpainting: A Survey
Weize Quan, Jiaxi Chen, Yanli Liu, Dong-Ming Yan, Peter Wonka
International Journal of Computer Vision, 2024
[PDF]
CMG-Net: Robust Normal Estimation for Point Clouds via Chamfer Normal Distance and Multi-scale Geometry
Yingrui Wu, Mingyang Zhao, Keqiang Li, Weize Quan, Tianqi Yu, Jianfeng Yang, Xiaohong Jia, Dong-Ming Yan
The Annual AAAI Conference on Artificial Intelligence, 2024
[PDF] [Code]
CGFormer: ViT-Based Network for Identifying Computer-Generated Images with Token Labeling
Weize Quan, Pengfei Deng, Kai Wang, Dong-Ming Yan
IEEE Transactions on Information Forensics & Security, vol. 19, pp. 235-250, 2024
[PDF] [Code]

2023

Layout-Aware Single-Image Document Flattening
Pu Li, Weize Quan, Jianwei Guo, Dong-Ming Yan
ACM Transactions on Graphics, Early Access, 2023
[PDF] [Suppl] [ Code & Dataset]
DPE: Disentanglement of Pose and Expression for General Video Portrait Editing
Youxin Pang, Yong Zhang, Weize Quan, Yanbo Fan, Xiaodong Cun, Ying Shan, Dong-Ming Yan
Computer Vision and Pattern Recognition, pp. 427-436, 2023
[PDF] [Code]
W-Net: Structure and Texture Interaction for Image Inpainting
Ruisong Zhang#, Weize Quan#, Yong Zhang, Jue Wang, Dong-Ming Yan
IEEE Transactions on Multimedia, vol. 25, pp. 7299-7310, 2023
[PDF] [Code]
Dense Modality Interaction Network for Audio-Visual Event Localization
Shuo Liu#, Weize Quan#, Chaoqun Wang, Yuan Liu, Bin Liu, Dong-Ming Yan
IEEE Transactions on Multimedia, vol. 25, pp. 2734-2748, 2023
[PDF] [Code]

2022

Neural Texture Transfer Assisted Video Coding with Adaptive Up-sampling
Li Yu, Wenshuai Chang, Weize Quan, Jimin Xiao, Dong-Ming Yan, Moncef Gabbouj
Signal Processing: Image Communication, 2022
[PDF]
Image Inpainting with Local and Global Refinement
Weize Quan, Ruisong Zhang, Yong Zhang, Zhifeng Li, Jue Wang, Dong-Ming Yan
IEEE Transactions on Image Processing, vol. 31, pp. 2405 - 2420, 2022.
[PDF] [Code]
Bi-directional Modality Fusion Network for Audio-Visual Event Localization
Shuo Liu, Weize Quan*, Yuan Liu, Dong-Ming Yan
ICASSP, 4868-4872, 2022
[PDF] [Code]
Scene Text Removal via Cascaded Text Stroke Detection and Erasing
Xuewei Bian#, Chaoqun Wang#, Weize Quan*, Juntao Ye, Xiaopeng Zhang, Dong-Ming Yan
Computational Visual Media, vol. 8, pp. 273–287, 2022
[PDF] [Code]

2021

Deep Video Decaptioning
Pengpeng Chu#, Weize Quan#, Tong Wang, Pan Wang, Peiran Ren, Dong-Ming Yan
British Machine Vision Conference, 2021
[PDF] [Code]
Text-Aware Single Image Specular Highlight Removal
Shiyu Hou, Chaoqun Wang, Weize Quan, Jingen Jiang, Dong-Ming Yan
PRCV, 2021
[PDF] [Code]
Efficient Center Voting for Object Detection and 6D Pose Estimation in 3D Point Cloud
Jianwei Guo, Xuejun Xing, Weize Quan, Dong-Ming Yan, Qingyi Gu, Yang Liu, Xiaopeng Zhang
IEEE Transactions on Image Processing, vol. 30, pp. 5072-5084, 2021.
[PDF]

2020

Pixel-wise Dense Detector for Image Inpainting
Ruisong Zhang, Weize Quan, Baoyuan Wu, Zhifeng Li, Dong-Ming Yan
Computer Graphic Forum, (Proc. of Pacific Graphics), 2020
[Project Page] [PDF] [Code]
Learn with Diversity and from Harder Samples: Improving the Generalization of CNN-Based Detection of Computer-Generated Images
Weize Quan, Kai Wang, Dong-Ming Yan, Xiaopeng Zhang, Denis Pellerin
Forensic Science International: Digital Investigation, 35:301023, 2020
[PDF] [Code&Dataset]
Distinguishing Computer-Generated Images from Natural Images Using Channel and Pixel Correlation
Ruisong Zhang, Weize Quan, Lubin Fan, Liming Hu, Dong-Ming Yan
Journal of Computer Science and Technology, 2020
[PDF] [Code] [Slides]

2019

Improving the Generalization of Colorized Image Detection with Enhanced Training of CNN
Weize Quan, Kai Wang, Dong-Ming Yan, Denis Pellerin, Xiaopeng Zhang
International Symposium on Image and Signal Processing and Analysis, 246-252, 2019
[PDF] [Code]
Impact of Data Preparation and CNN’s First Layer on Performance of Image Forensics: A Case Study of Detecting Colorized Images
Weize Quan, Kai Wang, Dong-Ming Yan, Denis Pellerin, Xiaopeng Zhang
International Workshop on Machine Learning Algorithms for Cybersecurity, 127–131, 2019
[PDF]

2018

Distinguishing between Natural and Computer-Generated Images Using Convolutional Neural Networks
Weize Quan, Kai Wang, Dong-Ming Yan, Xiaopeng Zhang
IEEE Transactions on Information Forensics & Security, vol. 13, no. 11, pp. 2772-2787, 2018
[Project page] [PDF] [Code]
Learning 3D Keypoint Descriptors for Non-Rigid Shape Matching
Hanyu Wang, Jianwei Guo, Dong-Ming Yan, Weize Quan, Xiaopeng Zhang
European Conference on Computer Vision, pp. 3-19, 2018.
[PDF] [Code]

Before 2018

Maximal Poisson-disk Sampling via Sampling Radius Optimization
Weize Quan, Dong-Ming Yan, Jianwei Guo, Weiliang Meng, Xiaopeng Zhang
SIGGRAPH ASIA 2016 Posters
[PDF] [Code]
Improved Quadric Surfaces Recognition from Scanned Mechanical Models
Weize Quan, Jianwei Guo, Xiaopeng Zhang, Dong-Ming Yan
Computer Aided Drafting, Design and Manufacturing, 26(4), 2016
[PDF]
Analyzing Surface Sampling Patterns Using the Localized Pair Correlation Function
Weize Quan, Jianwei Guo, Dong-Ming Yan, Weiliang Meng, Xiaopeng Zhang
Computational Visual Media, 2(3): 219-230, 2016
[PDF]

Professional Services

Editorial Board

The Visual Computer (TVCJ), Associate Editor (2024 - )

Program Committee

Paper Reviewer

Research Experiences

Apr. 2018 - Jun. 2019   UCAS Joint Ph.D. Training Program, Université Grenoble Alpes, CNRS, Grenoble INP, GIPSA-lab, Directed by Prof. Denis Pellerin and Dr. Kai Wang
Mar. 2017 - Sep. 2017   Visiting Ph.D. student, Université Grenoble Alpes, CNRS, Grenoble INP, GIPSA-lab, Directed by Dr. Kai Wang
Sep. 2016 - Jan. 2017   Intern student, Huawei Technologies Co., Ltd. Shenzhen