📣 Help Shape the Future of UKRI's Gateway to Research (GtR)

We're improving UKRI's Gateway to Research and are seeking your input! If you would be interested in being interviewed about the improvements we're making and to have your say about how we can make GtR more user-friendly, impactful, and effective for the Research and Innovation community, please email gateway@ukri.org.

SpiralNet++: A Fast and Highly Efficient Mesh Convolution Operator (2019)

First Author: Gong S

Attributed to: DEFORM: Large Scale Shape Analysis of Deformable Models of Humans funded by EPSRC

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1109/iccvw.2019.00509

Publication URI: https://api.elsevier.com/content/abstract/scopus_id/85082461521

Type: Conference/Paper/Proceeding/Abstract