Deep learning, in particular the deep convolutional neural networks, has received
increasing interests in face recognition recently, and a number of deep learning methods …

Near infrared-visible (NIR-VIS) heterogeneous face recognition refers to the process of
matching NIR to VIS face images. Current heterogeneous methods try to extend VIS face …

We propose a ThermalGAN framework for cross-modality color-thermal person re-
identification (ReID). We use a stack of generative adversarial networks (GAN) to translate a …

We present a texture network called Deep Encoding Pooling Network (DEP) for the task of
ground terrain recognition. Recognition of ground terrain is an important task in establishing …

This work tackles the face recognition task on images captured using thermal camera
sensors which can operate in the non-light environment. While it can greatly increase the …

The large domain discrepancy between faces captured in polarimetric (or conventional)
thermal and visible domains makes cross-domain face verification a highly challenging …

Thermal face imagery, which captures the naturally emitted heat from the face, is limited in
availability compared to face imagery in the visible spectrum. To help address this scarcity of …

Visible (VIS) to near infrared (NIR) face matching is a challenging problem due to the
significant domain discrepancy between the domains and a lack of sufficient data for training …

Heterogeneous face recognition (HFR) aims at matching face images across different
domains. It is challenging due to the severe domain discrepancies and overfitting caused by …

The World Health Organization (WHO) has declared COVID-19 a pandemic. We review and
reduce the clinical literature on diagnosis of COVID-19 through symptoms that might be …