The discriminability of the feature representation is crucial for face recognition. However,
previous methods rely solely on the learnable weights of the classification layer, which …

Deep learning approaches have advanced state-of-the-art performance drastically in facial
landmark detection and head pose estimation. Recent work shows that meaningful …

Recognition of low-quality face images remains a challenge due to invisible or deformation
in partial facial regions. For low-quality images dominated by missing partial facial regions …

Nowadays, online examination (exam in short) platforms are becoming more popular,
demanding strong security measures for digital learning environments. This includes …

Image quality assessment (IQA) is an important problem in computer vision with many
applications. We propose a transformer-based multi-task learning framework for the IQA …

Face recognition (FR) has been significantly enhanced by the advent and continuous
improvement of deep learning algorithms and accessibility of large datasets. However …

Pedestrian identification based on footstep-induced vibrations is a nonintrusive identification
method requiring sparse sensor layout for biometrics in smart buildings. Affected by …

Recognition of low-quality face images remains a challenge due to invisible or deformation
in partial facial regions. For low-quality images dominated by missing partial facial regions …

Enhancing the protection of giant pandas necessitates a precise means of verifying their
individual information. With the development of deep learning technology, some individual …

Face identification mechanisms need to be reappraised as due to the advancement in the
security parameters and the technology paradigm shift, such as the extensive use of face …