92 citations · 256 across the 10 of their papers we have counts for
7 papers · 1 filter
Learning-based real-time method to looking through scattering medium beyond the memory effect
Enlai Guo, Shuo Zhu, Yan Sun +2
Strong scattering medium brings great difficulties to optical imaging, which is also a problem in medical imaging and many other fields. Optical memory effect makes it possible to…
Synchronous locating and imaging behind scattering medium in a large depth based on deep learning
Shuo Zhu, Enlai Guo, Qianying Cui +3
Scattering medium brings great difficulties to locate and image planar objects especially when the object has a large depth. In this letter, a novel learning-based method is presen…
Non-destructive three-dimensional measurement of hand vein based on self-supervised network
Xiaoyu Chen, Qixin Wang, Jinzhou Ge +2
At present, supervised stereo methods based on deep neural network have achieved impressive results. However, in some scenarios, accurate three-dimensional labels are inaccessible…
High Sensitivity Snapshot Spectrometer Based on Deep Network Unmixing
XiaoYu Chen, Xu Wang, Lianfa Bai +2
In this paper, we present a convolution neural network based method to recover the light intensity distribution from the overlapped dispersive spectra instead of adding an extra li…
Dynamic 3-D measurement based on fringe-to-fringe transformation using deep learning
Haotian Yu, Xiaoyu Chen, Zhao Zhang +3
Fringe projection profilometry (FPP) has become increasingly important in dynamic 3-D shape measurement. In FPP, it is necessary to retrieve the phase of the measured object before…
High-SNR snapshot multiplex spectrometer with sub-Hadamard-S matrix coding
Zhuang Zhao, Lianfa Bai, Jing Han +1
We present a robust high signal-to-noise ratio (SNR) snapshot multiplex spectrometer with sub-Hadamard-S matrix coding. We demonstrated for the first time that the sub-Hadamard-S m…
Residual Pyramid Learning for Single-Shot Semantic Segmentation
Xiaoyu Chen, Xiaotian Lou, Lianfa Bai +1
Pixel-level semantic segmentation is a challenging task with a huge amount of computation, especially if the size of input is large. In the segmentation model, apart from the featu…