Although there have been considerable research efforts on controllable f...
Human face images usually appear with wide range of visual scales. The
e...
Single image generation (SIG), described as generating diverse samples t...
Face anti-spoofing (FAS) plays a vital role in preventing face recogniti...
The performance of human pose estimation depends on the spatial accuracy...
Although deep face recognition benefits significantly from large-scale
t...
With the recent development of deep convolutional neural networks and
la...
Near-infrared to visible (NIR-VIS) face recognition is the most common c...
Due to the subjective annotation and the inherent interclass similarity ...
Visible-Infrared person re-identification (VI-ReID) aims at matching
cro...
Deep learning based face recognition has achieved significant progress i...
Face recognition is one of the most fundamental and long-standing topics...
Deep face recognition has made remarkable advances in the last few years...
Most existing public face datasets, such as MS-Celeb-1M and VGGFace2, pr...
Face recognition has witnessed significant progress due to the advances ...
Deep neural networks (DNNs) are vulnerable to adversarial attack which i...
Face parsing, which is to assign a semantic label to each pixel in face
...
Facial landmark localization is a very crucial step in numerous face rel...
Face anti-spoofing is crucial to the security of face recognition system...
As a long-standing problem in computer vision, face detection has attrac...
Face recognition has witnessed significant progresses due to the advance...
Face anti-spoofing is essential to prevent face recognition systems from...
Current state-of-the-art object objectors are fine-tuned from the
off-th...
In many face recognition applications, there is large amount of face dat...
Person re-identification is challenging due to the large variations of p...