Search Results - "Lai, Xuetian"

Mutual Transfer Learning of Reconstructing Images Through a Multimode Fiber or a Scattering Medium by Lai, Xuetian, Li, Qiongyao, Wu, Xiaoyan, Liu, Guodong, Chen, Ziyang, Pu, Jixiong

“…In recent years, convolutional neural network (CNN) has been successfully applied to reconstruct image from the speckle, which is generated as an object passes…”
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Reconstructing images of two adjacent objects passing through scattering medium via deep learning by Lai, Xuetian, Li, Qiongyao, Chen, Ziyang, Shao, Xiaopeng, Pu, Jixiong

“…In this paper, to the best of our knowledge, we first present a deep learning based method for reconstructing the images of two adjacent objects passing…”
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Imaging reconstruction through strongly scattering media by using convolutional neural networks by Li, Qiongyao, Zhao, Jun, Zhang, Yanzhu, Lai, Xuetian, Chen, Ziyang, Pu, Jixiong

“…As an object passes through strongly scattering slab, it cannot be imaged, due to scattering slab scrambling the object information. In this paper, we employ…”
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Recognizing the orbital angular momentum (OAM) of vortex beams from speckle patterns by Wang, Zhiyuan, Lai, Xuetian, Huang, Huiling, Wang, Xiaoyan, Li, Haoran, Chen, Ziyang, Han, Jun, Pu, Jixiong

“…The orbital angular momentum (OAM) of vortex beams offers a new degree for information encoding, which has been applied to optical communications. OAM…”
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Recognizing the orbital angular momentum of vortex beams from speckle patterns by Wang, Zhiyuan, Lai, Xuetian, Huang, Huiling, Wang, Xiaoyan, Li, Haoran, Chen, Ziyang, Han, Jun, Pu, Jixiong

“…The orbital angular momentum (OAM) of vortex beams offers a new degree for information encoding, which has been applied to optical communications. OAM…”
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Reconstructing Images of Two Adjacent Objects through Scattering Medium Using Generative Adversarial Network by Lai, Xuetian, Li, Qiongyao, Chen, Ziyang, Shao, Xiaopeng, Pu, Jixiong

“…Reconstruction of image by using convolutional neural networks (CNNs) has been vigorously studied in the last decade. Until now, there have being developed…”
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