Recently, a lot of attention has been focused on the incorporation of 3D data into face
analysis and its applications. Despite providing a more accurate representation of the face …

Existing methods of 3D dthus limiting the scope of their practical applications. In this paper,
we propose a novel regression framework which makes a balance among speed, accuracy …

3D face reconstruction algorithms from images and videos are applied to many fields, from
plastic surgery to the entertainment sector, thanks to their advantageous features. However …

Abstract The Remote Embodied Referring Expression (REVERIE) is a recently raised task
that requires an agent to navigate to and localise a referred remote object according to a …

Abstract We propose the Dual-Generator (DG) network for large-pose face reenactment.
Given a source face and a reference face as inputs, the DG network can generate an output …

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 …

Substantial improvements have been achieved in the field of face recognition due to the
successful application of deep neural networks. However, existing methods are sensitive to …

The last few years have witnessed the great success of non-linear generative models in
synthesizing high-quality photorealistic face images. Many recent 3D facial texture …

Face recognition is a popular and well-studied area with wide applications in our society.
However, racial bias had been proven to be inherent in most State Of The Art (SOTA) face …

Deep learning recognition approaches can potentially perform better if we can extract a
discriminative representation that controllably separates nuisance factors. In this paper, we …