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Yanan Li 0006
Person information
- affiliation: Wuhan Institute of Technology, Wuhan, China
Other persons with the same name
- Yanan Li (aka: Ya-Nan Li, YaNan Li) — disambiguation page
- Yanan Li 0001 — University of Sussex, Department of Engineering and Design, Brighton, UK
- Yanan Li 0002 — Zhejiang University, Institute of Artificial Intelligence, Hangzhou, China
- Yanan Li 0003 — China University of Geosciences, Wuhan, China
- Yanan Li 0004 — Xi'an Jiaotong University, Xi'an, China
- Yanan Li 0005 — Hebei University of Technology, Tianjin, China
- Ya-Nan Li 0007 (aka: Yanan Li 0007) — New Jersey Institute of Technology, Newark, Nj, USA (and 1 more)
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2020 – today
- 2023
- [j11]Yuhan Huang, Yanan Li, Yifei Liu, Dingrun Zheng:
In-field cotton counting and localization jointly based on density-guided optimal transport. Comput. Electron. Agric. 212: 108058 (2023) - [j10]Yanan Li, Dingrun Zheng, Yifei Liu:
Box-supervised dynamical instance segmentation for in-field cotton. Comput. Electron. Agric. 215: 108390 (2023) - [j9]Yanan Li, Yifei Liu, Dingrun Zheng, Yuhan Huang, Yuling Tang:
Discriminable feature enhancement for unsupervised domain adaptation. Image Vis. Comput. 137: 104755 (2023) - [j8]Yanan Li, Ming Sun, Yang Qi:
Common pests classification based on asymmetric convolution enhance depthwise separable neural network. J. Ambient Intell. Humaniz. Comput. 14(7): 8449-8457 (2023) - 2022
- [j7]Hao Lu, Liang Liu, Yanan Li, Xiao-Ming Zhao, Xi-Qing Wang, Zhiguo Cao:
TasselNetV3: Explainable Plant Counting With Guided Upsampling and Background Suppression. IEEE Trans. Geosci. Remote. Sens. 60: 1-15 (2022) - 2021
- [j6]Zhiwen Fang, Joey Tianyi Zhou, Yang Xiao, Yanan Li, Feng Yang:
Multi-Encoder Towards Effective Anomaly Detection in Videos. IEEE Trans. Multim. 23: 4106-4116 (2021) - 2020
- [j5]Yanan Li, Ziyun Huang, Zhiguo Cao, Hao Lu, Haihui Wang, Shuiping Zhang:
Performance Evaluation of Crop Segmentation Algorithms. IEEE Access 8: 36210-36225 (2020) - [j4]Yanan Li, Zhiguo Cao, Hao Lu, Wenxia Xu:
Unsupervised domain adaptation for in-field cotton boll status identification. Comput. Electron. Agric. 178: 105745 (2020) - [j3]Ziyun Huang, Yanan Li, Haihui Wang:
In-field cotton boll counting based on a deep neural network of density level classification. J. Electronic Imaging 29(5): 053009 (2020)
2010 – 2019
- 2017
- [j2]Yanan Li, Zhiguo Cao, Yang Xiao, Armin B. Cremers:
DeepCotton: in-field cotton segmentation using deep fully convolutional network. J. Electronic Imaging 26(5): 53028 (2017) - 2016
- [j1]Yanan Li, Zhiguo Cao, Hao Lu, Yang Xiao, Yanjun Zhu, Armin B. Cremers:
In-field cotton detection via region-based semantic image segmentation. Comput. Electron. Agric. 127: 475-486 (2016)
Coauthor Index
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