Since the Transformer architecture was introduced in 2017, there has been many attempts to
bring the self-attention paradigm in the field of computer vision. In this paper, we propose …

Pig face recognition has a wide range of applications in breeding farms, including precision
feeding and disease surveillance. This article proposes a method to guarantee its …

Existing RGB-based 2D face recognition approaches are sensitive to facial variations,
posture, occlusions, and illumination. Current depth-based methods have been proved to …

Three-dimensional (3-D) face recognition (FR) can improve the usability and user-
friendliness of human–machine interaction. In general, 3-D FR can be divided into high …

Image retrieval algorithms are widely used in visual localization tasks. In visual localization,
we can benefit from retrieving the images depicting same landmark taken from a pose …

Abstract 2D face recognition encounters challenges in unconstrained environments due to
varying illumination occlusion and pose. Recent studies focus on RGB-D face recognition to …

Remote Photoplethysmography (rPPG) is the process of estimating PPG from facial videos.
While this approach benefits from contactless interaction, it is reliant on videos of faces …

Deep learning approaches have achieved highly accurate face recognition by training the
models with very large face image datasets. Unlike the availability of large 2D face image …

Automatic shield segment assembly can reduce intensive labour and increase tunnel boring
efficiency. However, insufficient lighting and multi-interference environments significantly …

3D face recognition (FR) has become increasingly widespread due to the illumination
invariance and pose robustness of 3D face data. Most existing 3D FR methods can only …