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ORCIDKun Liu 0015
Person information
- affiliation: Hebei University of Technology, School of Artificial Intelligence / MOE Center of Intelligent Rehabilitation Equipment and Detection Technology Engineering Research, Tianjin, China
Other persons with the same name
- Kun Liu — disambiguation page
- Kun Liu 0001 — LinkedIn, Mountain View, CA, USA (and 3 more)
- Kun Liu 0002
![[0000-0003-3074-7167]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0003-3074-7167")
— Beijing Institute of Technology, School of Automation, China (and 2 more) - Kun Liu 0003 — University of Freiburg, Computer Science Department, Germany
- Kun Liu 0004 — Air Force Engineering University, College of Aeronautics Engineering, Xi'an, China
- Kun Liu 0005 — Jilin University, School of Mechanical Science and Engineering, Changchun, China
- Kun Liu 0006 — Shandong University of Science and Technology, College of Computer Science and Engineering, Qingdao, China
- Kun Liu 0007 — University of Lorraine, Nancy, France
- Kun Liu 0008 — Chinese Academy of Sciences, Anhui Institute of Optics and Fine Mechanics, Hefei, China
- Kun Liu 0009 — Hebei University of Technology, School of Control Science and Engineering, Tianjin, China
- Kun Liu 0010 — Tianjin University, School of Precision Instrument & Optoelectronics Engineering, Tianjin, China
- Kun Liu 0011 — Xidian University, Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education of China, Xi'an, China
- Kun Liu 0012 — Chinese Academy of Sciences, Institute of Geographic Sciences and Natural Resources Research, Beijing, China
- Kun Liu 0013 — Shanghai Jiao Tong University, School of Mechanical Engineering, State Key Laboratory of Mechanical System and Vibration and the Robotics Institute, Shanghai, China
- Kun Liu 0014 — University of Hong Kong, Department of Electrical and Electronic Engineering,, Hong Kong
- Kun Liu 0016 — Beijing University of Posts and Telecommunications, School of Computer Science, China
- Kun Liu 0017 — Xi'an Jiaotong University, Moe Klinns Laboratory, Systems Engineering Institute, China
- Kun Liu 0018 — University of Jinan, School of Information Science and Engineering, China
- Kun Liu 0019 — Southwest Jiaotong University, School of Electrical Engineering, Chengdu, China (and 1 more)
- Kun Liu 0020 — Shanghai Maritime University, School of Information Engineering, China (and 1 more)
- Kun Liu 0021 — Nanjing University, Department of Computer Science and Technology, Nanjing, China
- Kun Liu 0022 — University of Jinan, School of Information Science and Engineering, Shandong Provincial Key Laboratory of Network Based Intelligent Computing, Jinan, China
- Kun Liu 0023 — Henan Polytechnic University, School of Computer Science and Technology, Jiaozuo, China
- Kun Liu 0024 — Sun Yat-sen University, School of Aeronautics and Astronautics, Shenzhen, China (and 1 more)
- Kun Liu 0025 — 7th Institute of Geology and Mineral Exploration of Shandong Province, Linyi, China
- Kun Liu 0026 — Southwest Jiaotong University, School of Transportation & Logistics, Chengdu, China
- Kun Liu 0027 — Wuhan University of Technology, School of Computer Science and Artificial Intelligence, Wuhan, China
- Kun Liu 0028 — Central South University, School of Computer Science and Engineering, Hunan Provincial Key Lab on Bioinformatics, Changsha, China
- Kun Liu 0029 — South China University of Technology, School of Automation Science and Engineering, Guangzhou, China
- Kun Liu 0030 — Jiaxing University, School of Information and Engineering, Nanhu, China
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Journal Articles
- 2020
[j2]Haiyong Chen, Yue Pang, Qidi Hu, Kun Liu:
Solar cell surface defect inspection based on multispectral convolutional neural network. J. Intell. Manuf. 31(2): 453-468 (2020)- [j1]Haiyong Chen, Qidi Hu, Baoshuo Zhai, He Chen, Kun Liu:
A robust weakly supervised learning of deep Conv-Nets for surface defect inspection. Neural Comput. Appl. 32(15): 11229-11244 (2020)
Conference and Workshop Papers
- 2022
- [c1]Kun Liu, Junfei Xie, Mei Chen, Haiyong Chen, Weipeng Liu:
MA-UNet++: A Multi-Attention Guided U-Net++ for COVID-19 CT Segmentation. ASCC 2022: 682-687
Informal and Other Publications
- 2018
- [i1]Haiyong Chen, Yue Pang, Qidi Hu, Kun Liu:
Solar Cell Surface Defect Inspection Based on Multispectral Convolutional Neural Network. CoRR abs/1812.06220 (2018)
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last updated on 2024-08-29 21:55 CEST by the dblp team
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