📣 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.

Real-time 3D Facial Tracking via Cascaded Compositional Learning (2020)

First Author: Lou J

Attributed to: Real-Time 4D Facial Sensing and Modelling funded by EPSRC

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.48550/arxiv.2009.00935

Publication URI: https://arxiv.org/abs/2009.00935

Type: Other