Recent supervised models for event coding vastly outperform pattern-matc...
Although there have been considerable research efforts on controllable f...
Recent works in cyber deception study how to deter malicious intrusion b...
Human face images usually appear with wide range of visual scales. The
e...
Face anti-spoofing (FAS) plays a vital role in preventing face recogniti...
Deep neural networks have significantly contributed to the success in
pr...
With the recent development of deep convolutional neural networks and
la...
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...
Traditional deep neural networks (NNs) have significantly contributed to...
Heterogeneous Face Recognition (HFR) refers to matching cross-domain fac...
With the flourish of differentiable neural architecture search (NAS),
au...
Facial images in surveillance or mobile scenarios often have large view-...
Conventional methods for facial age analysis tend to utilize accurate ag...
Face manipulation has shown remarkable advances with the flourish of
Gen...
Heterogeneous Face Recognition (HFR) is a challenging issue because of t...
Age synthesis is a challenging task due to the complicated and non-linea...
Age estimation of unknown persons is a challenging pattern analysis task...
Face completion is a challenging generation task because it requires
gen...
Face frontalization refers to the process of synthesizing the frontal vi...
Multi-view face synthesis from a single image is an ill-posed problem an...
Age progression/regression is a challenging task due to the complicated ...
Face completion aims to generate semantically new pixels for missing fac...