Skeleton-based action recognition has recently made significant progress...
Occlusion is a common problem with biometric recognition in the wild. Th...
Efficient medical image segmentation aims to provide accurate pixel-wise...
Deep learning-based face recognition models are vulnerable to adversaria...
Existing text-to-image synthesis methods generally are only applicable t...
Person re-identification (Re-ID) aims to match pedestrians under dis-joi...
A large portion of iris images captured in real world scenarios are poor...
Iris recognition is a reliable personal identification method but there ...
The generalization ability of Convolutional neural networks (CNNs) for
b...
We developed a novel statistical method to identify structural differenc...