3 citations · 3 across the 7 of their papers we have counts for
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eess.SP2023
Pedestrian Recognition with Radar Data-Enhanced Deep Learning Approach Based on Micro-Doppler Signatures
Haoming Li, Yu Xiang, Haodong Xu +1
As a hot topic in recent years, the ability of pedestrians identification based on radar micro-Doppler signatures is limited by the lack of adequate training data. In this paper, w…
eess.SP2022
A Multi-Characteristic Learning Method with Micro-Doppler Signatures for Pedestrian Identification
Yu Xiang, Yu Huang, Haodong Xu +2
The identification of pedestrians using radar micro-Doppler signatures has become a hot topic in recent years. In this paper, we propose a multi-characteristic learning (MCL) model…
eess.SP2020★ 3 cited
Flow Field Reconstructions with GANs based on Radial Basis Functions
Liwei Hu, Wenyong Wang, Yu Xiang +1
Nonlinear sparse data regression and generation have been a long-term challenge, to cite the flow field reconstruction as a typical example. The huge computational cost of computat…