A large number of intelligent models for masked face recognition (MFR) has been recently
presented and applied in various fields, such as masked face tracking for people safety or …

The limited capacity to recognise faces under occlusions is a long‐standing problem that
presents a unique challenge for face recognition systems and even humans. The problem …

We address a new partial person re-identification (re-id) problem, where only a partial
observation of a person is available for matching across different non-overlapping camera …

Unlike the visual object tracking, thermal infrared object tracking can track a target object in
total darkness. Therefore, it has broad applications, such as in rescue and video …

Principal component analysis (PCA) is widely used in dimensionality reduction. A lot of
variants of PCA have been proposed to improve the robustness of the algorithm. However …

Deep learning based approaches have been dominating the face recognition field due to
the significant performance improvement they have provided on the challenging wild …

Hyperspectral images provide great potential for target detection, however, new challenges
are also introduced for hyperspectral target detection, resulting that hyperspectral target …

Due to the difficulty in acquiring massive task-specific occluded images, the classification of
occluded images with deep convolutional neural networks (CNNs) remains highly …

Tackling with the Covid-19 pandemic has been a grueling task from the day one of its rise.
To prevent the spread of the virus, one of the major steps taken by governments of the world …

A lot of researches are going on since last two decades for object recognition, shape
matching, and pattern recognition in the field of computer vision. Face recognition is one of …