The partially occluded image recognition (POIR) problem has been a chall...
As a powerful engine, vanilla convolution has promoted huge breakthrough...
Face anti-spoofing (FAS) secures face recognition from presentation atta...
It has been observed that Deep Neural Networks (DNNs) are vulnerable to
...
We consider adversarial attacks to a black-box model when no queries are...
Despite the great success achieved by deep learning methods in face
reco...
Face anti-spoofing (FAS) has lately attracted increasing attention due t...
Face anti-spoofing (FAS) plays a vital role in securing face recognition...
A standard pipeline of current face recognition frameworks consists of f...
Few-shot image classification (FSIC), which requires a model to recogniz...
Face anti-spoofing (FAS) plays a vital role in securing face recognition...
Face anti-spoofing is critical to the security of face recognition syste...
Face anti-spoofing (FAS) plays a vital role in face recognition systems....
Face anti-spoofing is crucial to the security of face recognition system...
Recently, Meta-learning has been shown as a promising way to improve the...
Deep learning based computer vision fails to work when labeled images ar...
Face anti-spoofing is significant to the security of face recognition
sy...