Deep learning applies multiple processing layers to learn representations of data with
multiple levels of feature extraction. This emerging technique has reshaped the research …

Biometric systems have the goal of measuring and analyzing the unique physical or
behavioral characteristics of an individual. The main feature of biometric systems is the use …

Abstract We present Face Swap** GAN (FSGAN) for face swap** and reenactment.
Unlike previous work, FSGAN is subject agnostic and can be applied to pairs of faces …

Deep learning, in particular the deep convolutional neural networks, has received
increasing interests in face recognition recently, and a number of deep learning methods …

The spread of misinformation through synthetically generated yet realistic images and
videos has become a significant problem, calling for robust manipulation detection methods …

We propose a novel approach for estimating the difficulty and transferability of supervised
classification tasks. Unlike previous work, our approach is solution agnostic and does not …

Cross-modality face recognition is an emerging topic due to the wide-spread usage of
different sensors in day-to-day life applications. The development of face recognition …

Face images from different perspectives reduce the accuracy of face recognition, and the
generation of frontal face images is an important research topic in the field of face …

Head pose estimation has attracted immense research interest recently, as its inherent
information significantly improves the performance of face-related applications such as face …

Abstract 3D face recognition (3DFR) has emerged as an effective means of characterizing
facial identity over the past several decades. Depending on the types of techniques used in …