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Wen Wu 0008
Person information
- affiliation: Hangzhou Dianzi University, Hangzhou, China
Other persons with the same name
- Wen Wu — disambiguation page
- Wen Wu 0001 — University of Macau, Faculty of Science and Technology, Macau
- Wen Wu 0002 — South China University of Technology, School of Mathematics, Guangzhou, China (and 1 more)
- Wen Wu 0003 — University of Waterloo, Department of Electrical and Computer Engineering, Canada
- Wen Wu 0004 — Microsoft Corporation, Redmond, Washington, USA
- Wen Wu 0005 — Nanjing University of Science and Technology, Ministerial Key Laboratory of JGMT, China (and 1 more)
- Wen Wu 0006 — East China Normal University, School of Computer Science and Technology, Shanghai, China (and 1 more)
- Wen Wu 0007 — University of Cambridge, UK
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2020 – today
- 2024
- [j15]Zeheng Qian, Wen Wu, Xiantao Wu, Xiao-Diao Chen:
Omni-supervised shadow detection with vision foundation model. J. Vis. Commun. Image Represent. 100: 104146 (2024) - [j14]Wenya Yang, Xiao-Diao Chen, Wen Wu, Hongshuai Qin, Kangming Yan, Xiaoyang Mao, Haichuan Song:
Boosting Deep Unsupervised Edge Detection via Segment Anything Model. IEEE Trans. Ind. Informatics 20(6): 8961-8971 (2024) - [j13]Hongyu Chen, Xiao-Diao Chen, Wen Wu, Wenya Yang, Xiaoyang Mao:
Annotate less but perform better: weakly supervised shadow detection via label augmentation. Vis. Comput. 40(10): 6763-6777 (2024) - 2023
- [j12]Wenya Yang, Wen Wu, Xiao-Diao Chen, Xiuting Tao, Xiaoyang Mao:
How to use extra training data for better edge detection? Appl. Intell. 53(17): 20499-20513 (2023) - [j11]Wen Wu, Xiao-Diao Chen, Wenya Yang, Jun-Hai Yong:
Exploring better target for shadow detection. Knowl. Based Syst. 273: 110614 (2023) - [j10]Wen Wu, Wenya Yang, Weiyin Ma, Xiao-Diao Chen:
How Many Annotations Do We Need for Generalizing New-Coming Shadow Images? IEEE Trans. Circuits Syst. Video Technol. 33(11): 6213-6224 (2023) - [j9]Xiaodiao Chen, Wen Wu, Wenya Yang, Hongshuai Qin, Xiantao Wu, Xiaoyang Mao:
Make Segment Anything Model Perfect on Shadow Detection. IEEE Trans. Geosci. Remote. Sens. 61: 1-13 (2023) - [j8]Xiantao Wu, Wen Wu, Lin-Lin Zhang, Yi Wan:
Don't worry about noisy labels in soft shadow detection. Vis. Comput. 39(12): 6297-6308 (2023) - 2022
- [j7]Xiantao Wu, Yi Wang, Yi Wan, Wen Wu:
Annotation is easy: Learning to generate a shadow mask. Comput. Graph. 104: 152-161 (2022) - [j6]Wen Wu, Kai Zhou, Xiao-Diao Chen, Jun-Hai Yong:
Light-weight shadow detection via GCN-based annotation strategy and knowledge distillation. Comput. Vis. Image Underst. 216: 103341 (2022) - [j5]Wen Wu, Kai Zhou, Xiao-Diao Chen:
Single image shadow detection via uncertainty analysis and GCN-based refinement strategy. J. Vis. Commun. Image Represent. 82: 103397 (2022) - [j4]Kai Zhou, Wen Wu, Yanli Shao, Jinglong Fang, Xingqi Wang, Dan Wei:
Shadow detection via multi-scale feature fusion and unsupervised domain adaptation. J. Vis. Commun. Image Represent. 88: 103596 (2022) - [j3]Wen Wu, Shuping Zhang, Mi Tian, Daoqiang Tan, Xiantao Wu, Yi Wan:
Learning to detect soft shadow from limited data. Vis. Comput. 38(5): 1665-1675 (2022) - [j2]Wen Wu, Xiantao Wu, Yi Wan:
Single-image shadow removal using detail extraction and illumination estimation. Vis. Comput. 38(5): 1677-1687 (2022) - 2021
- [j1]Wen Wu, Shuping Zhang, Kai Zhou, Jie Yang, Xiantao Wu, Yi Wan:
Shadow removal via dual module network and low error shadow dataset. Comput. Graph. 95: 156-163 (2021)
Coauthor Index
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