21 citations · 35 across the 4 of their papers we have counts for
5 papers
Compositional Prototype Network with Multi-view Comparision for Few-Shot Point Cloud Semantic Segmentation
Xiaoyu Chen, Chi Zhang, Guosheng Lin +1
Point cloud segmentation is a fundamental visual understanding task in 3D vision. A fully supervised point cloud segmentation network often requires a large amount of data with poi…
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…
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…