3 citations · 7 across the 15 of their papers we have counts for
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cs.LG2020★ 1 cited
Revisiting convolutional neural network on graphs with polynomial approximations of Laplace-Beltrami spectral filtering
Shih-Gu Huang, Moo K. Chung, Anqi Qiu +1
This paper revisits spectral graph convolutional neural networks (graph-CNNs) given in Defferrard (2016) and develops the Laplace-Beltrami CNN (LB-CNN) by replacing the graph Lapla…
cs.LG2020★ 1 cited
Fast Mesh Data Augmentation via Chebyshev Polynomial of Spectral filtering
Shih-Gu Huang, Moo K. Chung, Anqi Qiu +1
Deep neural networks have recently been recognized as one of the powerful learning techniques in computer vision and medical image analysis. Trained deep neural networks need to be…