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Yong Lee (李勇)
Yong Lee (李勇)
Verified email at whut.edu.cn - Homepage
Title
Cited by
Cited by
Year
PIV-DCNN: cascaded deep convolutional neural networks for particle image velocimetry
Y Lee, H Yang, Z Yin
Experiments in Fluids 58, 1-10, 2017
1122017
Blind inverse gamma correction with maximized differential entropy
Y Lee, S Zhang, M Li, X He
Signal Processing 193, 108427, 2022
172022
Multi-Modal Mutual Information (MuMMI) Training for Robust Self-Supervised Deep Reinforcement Learning
K Chen, Y Lee, H Soh
IEEE International Conference on Robotics and Automation (ICRA), 2021
172021
Outlier detection for particle image velocimetry data using a locally estimated noise variance
Y Lee, H Yang, ZP Yin
Measurement Science and Technology 28 (3), 035301, 2017
102017
Automatic barcode recognition method based on adaptive edge detection and a mapping model
H Yang, L Chen, Y Chen, Y Lee, Z Yin
Journal of Electronic Imaging 25 (5), 053019-053019, 2016
62016
Fast combined-frequency phase extraction for phase shifting profilometry
Y Lee, Y Mao, Z Chen
Optics Express 30 (25), 45288-45300, 2022
52022
Diffeomorphic particle image velocimetry
Y Lee, S Mei
IEEE Transactions on Instrumentation and Measurement 71, 1-10, 2021
52021
MDOE: A spatiotemporal event representation considering the magnitude and density of events
F Gu, Y Lee, Y Zhuang, Y Li, J Liu, F Yu, R Li, C Chen
IEEE Robotics and Automation Letters 7 (3), 7966-7973, 2022
12022
Industrial Internet of Things Intelligence Empowering Smart Manufacturing: A Literature Review
Y Hu, Q Jia, Y Yao, Y Lee, M Lee, C Wang, X Zhou, R Xie, FR Yu
IEEE Internet of Things Journal, 2024
2024
Surrogate-based cross-correlation for particle image velocimetry
Y Lee, F Gu, Z Gong
arXiv preprint arXiv:2112.05303, 2021
2021
Embed to velocimetry: a self-supervised neural pre-processing filter for particle image velocimetry
W Liu, H Liang, D Pan, Y Lee
Diffeomorphic deformation based vector field correction for particle image velocimetry
H Liang, W Liu, Y Mao, Y Lee
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Articles 1–12