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Fei Yu 0018
Person information
- affiliation: Peking University, Center for Data Science, Beijing, China
Other persons with the same name
- Fei Yu — disambiguation page
- Fei Yu 0001
— Peoples' Friendship University of Russia, Moscow, Russia (and 3 more) - Fei Yu 0002 — Microsoft (and 1 more)
- Fei Yu 0003 — Southeast University, School of Information Science and Engineering, Nanjing, China
- Fei Yu 0004 — Wuhan University, China
- Fei Yu 0005 — Carnegie Mellon University, Pittsburgh, PA, USA
- Fei Yu 0006 — Harbin Engineering University, China
- Fei Yu 0007 — University of Guelph, Department of Mathematics and Statistics, ON, Canada
- Fei Yu 0008
— Minnan Normal University, College of Physics and Information Engineering, Zhangzhou - Fei Yu 0009
— Changsha University of Science and Technology, Changsha, China - Fei Yu 0010 — Baidu Inc., China (and 1 more)
- Fei Yu 0011
— University of Southern Denmark, Faculty of Engineering, Sønderborg, Denmark - Fei Yu 0012
— Harbin Institute of Technology, Department of Computer Science, China - Fei Yu 0013
— University of North Carolina at Chapel Hill, School of Information and Library Science, NC, USA - Fei Yu 0014
— Harbin Institute of Technology, School of Instrumentation Science and Engineering, China (and 1 more) - Fei Yu 0015
— Northwest Normal University, College of Computer Science and Engineering, Lanzhou, China - F. Richard Yu
(aka: Fei Richard Yu, Fei Yu 0016, Richard Yu 0001, Y. Richard Yu) — Carleton University, Department of Systems and Computer Engineering, Ottawa, ON, Canada (and 5 more) - Fei Yu 0017
— Chinese University of Hong Kong, School of Data Science, Shenzhen, Hong Kong - Fei Yu 0019
— Chinese Academy of Sciences (CAS), Shanghai Institute of Optics and Fine Mechanics, R&D Center of High Power Laser Components, China (and 2 more)
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2020 – today
- 2022
[c8]Hexin Dong, Zifan Chen, Mingze Yuan, Yutong Xie, Jie Zhao, Fei Yu, Bin Dong, Li Zhang:
Region-Aware Metric Learning for Open World Semantic Segmentation via Meta-Channel Aggregation. IJCAI 2022: 863-869
[i6]Hexin Dong, Zifan Chen, Mingze Yuan, Yutong Xie, Jie Zhao, Fei Yu, Bin Dong, Li Zhang:
Region-Aware Metric Learning for Open World Semantic Segmentation via Meta-Channel Aggregation. CoRR abs/2205.08083 (2022)- 2021
[c7]Fei Yu, Mo Zhang, Hexin Dong, Sheng Hu, Bin Dong, Li Zhang:
DAST: Unsupervised Domain Adaptation in Semantic Segmentation Based on Discriminator Attention and Self-Training. AAAI 2021: 10754-10762
[i5]Mo Zhang, Fei Yu, Jie Zhao, Li Zhang, Quanzheng Li:
BEFD: Boundary Enhancement and Feature Denoising for Vessel Segmentation. CoRR abs/2104.03768 (2021)
[i4]Hexin Dong, Fei Yu, Jie Zhao, Bin Dong, Li Zhang:
Unsupervised Domain Adaptation in Semantic Segmentation Based on Pixel Alignment and Self-Training. CoRR abs/2109.14219 (2021)- 2020
[c6]Hexin Dong, Fei Yu, Han Jiang, Hua Zhang, Bin Dong, Quanzheng Li, Li Zhang:
Annotation-Free Gliomas Segmentation Based on a Few Labeled General Brain Tumor Images. ISBI 2020: 354-358
[c5]Fei Yu, Hexin Dong, Mo Zhang, Jie Zhao, Bin Dong, Quanzheng Li, Li Zhang:
AF-SEG: An Annotation-Free Approach for Image Segmentation by Self-Supervision and Generative Adversarial Network. ISBI 2020: 1503-1507
[c4]Mo Zhang, Fei Yu, Jie Zhao, Li Zhang, Quanzheng Li:
BEFD: Boundary Enhancement and Feature Denoising for Vessel Segmentation. MICCAI (5) 2020: 775-785
2010 – 2019
- 2019
[c3]Rongchang Xie, Fei Yu, Jiachao Wang, Yizhou Wang, Li Zhang:
Multi-Level Domain Adaptive Learning for Cross-Domain Detection. ICCV Workshops 2019: 3213-3219
[c2]Jie Zhao, Lei Dai, Mo Zhang, Fei Yu, Meng Li, Hongfeng Li, Wenjia Wang, Li Zhang:
PGU-net+: Progressive Growing of U-net+ for Automated Cervical Nuclei Segmentation. MMMI@MICCAI 2019: 51-58
[c1]Fei Yu, Jie Zhao, Yanjun Gong, Zhi Wang
, Yuxi Li
, Fan Yang, Bin Dong, Quanzheng Li, Li Zhang:
Annotation-Free Cardiac Vessel Segmentation via Knowledge Transfer from Retinal Images. MICCAI (2) 2019: 714-722
[i3]Fei Yu, Jie Zhao, Yanjun Gong, Zhi Wang, Yuxi Li, Fan Yang, Bin Dong, Quanzheng Li, Li Zhang:
Annotation-Free Cardiac Vessel Segmentation via Knowledge Transfer from Retinal Images. CoRR abs/1907.11483 (2019)
[i2]Rongchang Xie, Fei Yu, Jiachao Wang, Yizhou Wang, Li Zhang:
Multi-level Domain Adaptive learning for Cross-Domain Detection. CoRR abs/1907.11484 (2019)
[i1]Jie Zhao, Lei Dai, Mo Zhang, Fei Yu, Meng Li, Hongfeng Li, Wenjia Wang, Li Zhang:
PGU-net+: Progressive Growing of U-net+ for Automated Cervical Nuclei Segmentation. CoRR abs/1911.01062 (2019)
Coauthor Index

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