While current monocular 3D face reconstruction methods can recover fine geometric details,
they suffer several limitations. Some methods produce faces that cannot be realistically …

As 3D facial avatars become more widely used for communication, it is critical that they
faithfully convey emotion. Unfortunately, the best recent methods that regress parametric 3D …

In the past few years, a lot of work has been done towards reconstructing the 3D facial
structure from single images by capitalizing on the power of Deep Convolutional Neural …

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 …

Generative artificial intelligence (GAI) is a rapidly growing field with a wide range of
applications. In this paper, a thorough examination of the research landscape in GAI is …

We present a novel approach to localizing parts in images of human faces. The approach
combines the output of local detectors with a nonparametric set of global models for the part …

This paper presents a novel way to perform multi-modal face recognition. We use Partial
Least Squares (PLS) to linearly map images in different modalities to a common linear …

This paper presents a method to model and recognize human faces in video sequences.
Each registered person is represented by a low-dimensional appearance manifold in the …

A lot of work has been done towards reconstructing the 3D facial structure from single
images by capitalizing on the power of Deep Convolutional Neural Networks (DCNNs). In …

We introduce SCiFI, a system for Secure Computation of Face Identification. The system
performs face identification which compares faces of subjects with a database of registered …