2018
FeaStNet: Feature-Steered Graph Convolutions for 3D Shape Analysis
CVPR 2018poster
Convolutional neural networks (CNNs) have massively impacted visual recognition in 2D images, and are now ubiquitous in state-of-the-art approaches. CNNs do not easily extend, however, to data that are not represented by regular grids, such as 3D shape meshes or other graph-structured data, to whic…