4 citations · 9 across the 4 of their papers we have counts for
5 papers
An Assessment of GANs for Identity-related Applications
Richard T. Marriott, Safa Madiouni, Sami Romdhani +2
Generative Adversarial Networks (GANs) are now capable of producing synthetic face images of exceptionally high visual quality. In parallel to the development of GANs themselves, e…
Robustness of Facial Recognition to GAN-based Face-morphing Attacks
Richard T. Marriott, Sami Romdhani, Stéphane Gentric +1
Face-morphing attacks have been a cause for concern for a number of years. Striving to remain one step ahead of attackers, researchers have proposed many methods of both creating a…
A 3D GAN for Improved Large-pose Facial Recognition
Richard T. Marriott, Sami Romdhani, Liming Chen
Facial recognition using deep convolutional neural networks relies on the availability of large datasets of face images. Many examples of identities are needed, and for each identi…
3D Morphable Face Models -- Past, Present and Future
Bernhard Egger, William A. P. Smith, Ayush Tewari +10
In this paper, we provide a detailed survey of 3D Morphable Face Models over the 20 years since they were first proposed. The challenges in building and applying these models, name…
Taking Control of Intra-class Variation in Conditional GANs Under Weak Supervision
Richard T. Marriott, Sami Romdhani, Liming Chen
Generative Adversarial Networks (GANs) are able to learn mappings between simple, relatively low-dimensional, random distributions and points on the manifold of realistic images in…