CHEN , Cunjian

Thermal to visible face image translation aims at synthesizing high-fidelity visible face images from thermal counterparts, placing emphasis on preserving the identity of the faces. While remarkable progress has been achieved related to the quality of synthetic images, as well as related to associated face matching accuracy, interpreting the...

Makeup can be used to alter the facial appearance of a person. Previous studies have established the potential of using makeup to obfuscate the identity of an individual with respect to an automated face matcher. In this work, we analyze the potential of using makeup for spoofing an identity, where an individual attempts to impersonate another...

One of the main challenges in performing thermalto-visible face image translation is preserving the identity across different spectral bands. Existing work does not effectively disentangle the identity from other confounding factors. In this paper, we propose a Latent-Guided Generative Adversarial Network (LG-GAN) to explicitly decompose an...

Automated thermal-to-visible face recognition has received increased attention due to benefits related to lowlight applications. Towards improvement of related matching accuracy, we hereby present TFLD, a detector of face and landmarks operating in the thermal spectrum. Our proposed TFLD is based on the architecture of YOLOv5, integrating...