Generated a NIR images and b VIS images on our WHU VIS–NIR database.

Download scientific diagram | Generated a NIR images and b VIS images on our WHU VIS–NIR database. (From left to right: input VIS(NIR) images, true NIR(VIS) images from the same subject, images generated by FFE-CycleGAN, CycleGAN (Zhu et al., 2017), Pix2Pix (Isola et al., 2017) and DVG-Face (Fu et al., 2022)) from publication: Facial feature embedded CycleGAN for VIS–NIR translation | VIS-NIR face recognition remains a challenging task due to the distinction between spectral components of two modalities and insufficient paired training data. Inspired by the CycleGAN, this paper presents a method aiming to translate VIS face images into fake NIR images | Face Recognition, NIR and Proposals | ResearchGate, the professional network for scientists.

Facial feature embedded CycleGAN for VIS–NIR translation

Ultraviolet–Visible Diffuse Reflectance Spectroscopy (UV–Vis DRS

Lei YU, Professor (Associate), Professor

Vis-NIR Spectroscopy for Soil Organic Carbon Assessment: A Meta

Tracing buffer-overflow attacks to protocol fields.

Generated a NIR images and b VIS images on our WHU VIS–NIR

Stepping Out of the Blue: From Visible to Near‐IR Triggered

High-dimensional topographic organization of visual features in

Hyperspectral imaging captures spatial and spectral data of the