112 citations · 250 across the 12 of their papers we have counts for
Showing 2019Show all
3 papers · 1 filter
cs.CV2019★ 4 cited
GraphTER: Unsupervised Learning of Graph Transformation Equivariant Representations via Auto-Encoding Node-wise Transformations
Xiang Gao, Wei Hu, Guo-Jun Qi
Recent advances in Graph Convolutional Neural Networks (GCNNs) have shown their efficiency for non-Euclidean data on graphs, which often require a large amount of labeled data with…
cs.CV2019★ 112 cited
Feature Graph Learning for 3D Point Cloud Denoising
Wei Hu, Xiang Gao, Gene Cheung +1
Identifying an appropriate underlying graph kernel that reflects pairwise similarities is critical in many recent graph spectral signal restoration schemes, including image denoisi…
cs.CV2019★ 1 cited
3D Dynamic Point Cloud Denoising via Spatial-Temporal Graph Learning
Wei Hu, Qianjiang Hu, Zehua Wang +1
The prevalence of accessible depth sensing and 3D laser scanning techniques has enabled the convenient acquisition of 3D dynamic point clouds, which provide efficient representatio…