We propose residual denoising diffusion models (RDDM) a novel dual diffusion process that
decouples the traditional single denoising diffusion process into residual diffusion and noise …

Most existing near-infrared to visible (NIR-VIS) face recognition (FR) methods rely on global
feature representations to reduce cross-modality discrepancies, but ignore the structural …

Face recognition is a rapidly advancing field with numerous applications in security,
surveillance, biometrics, and human-computer interaction. This paper presents an …

Recently, convolutional neural networks (CNNs) have dominated the face hallucination task
due to their powerful feature representation capability. However, most of them simply use the …

A face recognition system's initial three processes are face detection, feature extraction, and
facial expression recognition. The initial step of face detection involves colour model skin …

One of the most difficult and intriguing areas of computer vision is Face Recognition (FR).
Due to the low generalization ability, the success rate of FR is affected by illumination …

In certain types of facilities, such as data centers, laboratories and hospitals, cabinets or
containers are used to install or store computing, telecommunications or measurement …