In law enforcement and security applications, the acquisition of face images is critical in producing key trace evidence for the successful identification of potential threats. However, face recognition (FR) for face images captured using different camera sensors, and under variable illumination conditions, and expressions is very challenging. In this paper, we investigate the advantages and li...

We investigated the influence of experimentally guided saccades and fixations on fMRI activation in brain regions specialized for face and object processing. Subjects viewed a static image of a face while a small fixation cross made a discrete jump within the image every 500 ms. Subjects were required to make a saccade and fixate the cross at its new location. Each run consisted of alternating ...

In this study, a multi-feature fusion and decoupling solution based on the RNN is proposed from discriminative perspective. This method can address identity age information extraction losses in cross-age face recognition. not only constrains correlation between using loss but also optimizes feature restoration decoupling. The model was trained simulated CACD CACD-VS datasets. single-task learni...

While recent face anti-spoofing methods perform well under the intra-domain setups, an effective approach needs to account for much larger appearance variations of images acquired in complex scenes with different sensors robust performance. In this paper, we present adaptive vision transformers (ViT) cross-domain anti-spoofing. Specifically, adopt ViT as a backbone exploit its strength long-ran...