A robust automatic micro-expression recognition system would have broad applications in national safety, police interrogation, and clinical diagnosis. Developing such a system requires high quality databases with sufficient training samples which are currently not available. We reviewed the previously developed micro-expression databases and built an improved one (CASME II), with higher tempora...

Many approaches to unconstrained face identification exploit small patches which are unaffected by distortions outside of their locality. However, small patches have limited discriminative ability, making accurate patch matching difficult. We propose a novel blockbased approach to exploit the greater discriminative information in larger areas, while maintaining robustness to local variations. A...

Face recognition in surveillance systems is important for security applications, especially in nighttime scenarios when the subject is far away from the camera. However, due to the face image quality degradation caused by large camera standoff and low illuminance, nighttime face recognition at large standoff is challenging. In this paper, we report a system that is capable of collecting face im...

Because of the large modal difference between sketch image and optical image, problem that traditional deep learning methods are easy to overfit in case a small amount training data, Cross Domain Meta-Network for face recognition method is proposed. This first designs meta-learning strategy solve sample problem, then proposes entropy average loss cross domain adaptive reduce domain. The experim...