The limited capacity to recognise faces under occlusions is a long‐standing problem that
presents a unique challenge for face recognition systems and even humans. The problem …

Face reconstruction and tracking is a building block of numerous applications in AR/VR,
human-machine interaction, as well as medical applications. Most of these applications rely …

In this paper, we present a large-scale detailed 3D face dataset, FaceScape, and propose a
novel algorithm that is able to predict elaborate riggable 3D face models from a single image …

The gender recognition is essential and critical for many applications in the commercial
domains such as applications of human-computer interaction and computer-aided …

Most face databases have been created under controlled conditions to facilitate the study of
specific parameters on the face recognition problem. These parameters include such …

We introduce the use of describable visual attributes for face verification and image search.
Describable visual attributes are labels that can be given to an image to describe its …

The problem of detecting face spoofing attacks (presentation attacks) has recently gained a
well-deserved popularity. Mainly focusing on 2D attacks forged by displaying printed photos …

We present the first single-network approach for 2D whole-body pose estimation, which
entails simultaneous localization of body, face, hands, and feet keypoints. Due to the bottom …

The primary objective of face morphing is to com-bine face images of different data subjects
(eg an malicious actor and an accomplice) to generate a face image that can be equally …

A novel discriminative face representation derived by the Linear Discriminant Analysis (LDA)
of multi-scale local binary pattern histograms is proposed for face recognition. The face …