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Weize QUAN （全卫泽）
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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)
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GoHD: Gaze-oriented and Highly Disentangled Portrait Animation with Rhythmic Poses and Realistic Expressions
Ziqi Zhou, Weize Quan*, Hailin Shi, Wei Li, Lili Wang, Dong-Ming Yan AAAI, 2025 [PDF] [ Code] |
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PointCFormer: a Relation-based Progressive Feature Extraction Network for Point Cloud Completion
Yi Zhong, Weize Quan, Dong-Ming Yan, Jie Jiang, Yingmei Wei AAAI, 2025 [PDF] [Code] |
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M2HF: Multi-branch Multi-modal Hybrid Fusion for Text-Video Retrieval
Shuo Liu, Weize Quan, Ming Zhou, Sihong Chen, Jian Kang, Zhe Zhao, Kimmo Yan, Chen Chen, Dong-Ming Yan CVM, 2025 [PDF] |
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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, vol. 111, pp. 102327, 2024 [PDF] |
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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, pp. 804-813, 2024 [PDF] |
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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, vol. 132, pp. 2367–2400, 2024 [PDF] |
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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] |
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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
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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] |
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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] |
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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] |
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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
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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] |
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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] |
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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] |
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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
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Deep Video Decaptioning
Pengpeng Chu#, Weize Quan#, Tong Wang, Pan Wang, Peiran Ren, Dong-Ming Yan British Machine Vision Conference, 2021 [PDF] [Code] |
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Text-Aware Single Image Specular Highlight Removal
Shiyu Hou, Chaoqun Wang, Weize Quan, Jingen Jiang, Dong-Ming Yan PRCV, 2021 [PDF] [Code] |
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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
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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] |
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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] |
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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
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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] |
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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
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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] |
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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
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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] |
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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] |
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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
- CVM 2024
- GDC 2022 - 2023
Paper Reviewer
- TIP, TIFS, TMM, TCSVT, CVMJ, PR, TVCJ, SPIC, CVIU
- CVPR, CVM, GMP
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 |