The learned shape descriptor is invariant to affine transformations, including shifts, rotations and scaling. Thanks to the adopted autoencoder framework, inter-subject differences are automatically ...

To address these limitations, we propose S2HGC, an end-to-end spectral-spatial hypergraph convolutional network designed for ... Specifically, a controllable autoencoder (CAE) is designed to reflect ...