Sami Romdhani
YOU?
Author Swipe
View article: Robustness of Facial Recognition to GAN-based Face-morphing Attacks
Robustness of Facial Recognition to GAN-based Face-morphing Attacks Open
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 and detecting morphed images. These detection methods, howev…
A 3D GAN for Improved Large-pose Facial Recognition Open
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 identity, a large variety of images are needed in order for the n…
View article: An Assessment of GANs for Identity-related Applications
An Assessment of GANs for Identity-related Applications Open
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, efforts have been made to develop metrics to objectively ass…
Taking Control of Intra-class Variation in Conditional GANs Under Weak Supervision Open
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 image-space. The semantics of this mapping, however, are t…
3D Morphable Face Models—Past, Present, and Future Open
In this article, 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, namely, capture, modeling, image formation, and image analysi…
Intra-class Variation Isolation in Conditional GANs. Open
Current state-of-the-art conditional generative adversarial networks (C-GANs) require strong supervision via labeled datasets in order to generate images with continuously adjustable, disentangled semantics. In this paper we introduce a ne…