Recent years witnessed the breakthrough of face recognition with deep convolutional neural
networks. Dozens of papers in the field of FR are published every year. Some of them were …

Deep learning has significantly transformed face recognition, enabling the deployment of
large-scale, state-of-the-art solutions worldwide. However, the widespread adoption of deep …

Offloading the computationally intensive workloads to the edge and cloud not only improves
the quality of computation, but also creates an extra degree of diversity by collecting …

For the past decades, face recognition (FR) has been actively studied in computer vision
and pattern recognition society. Recently, due to the advances in deep learning, the FR …

Face alignment is the foundation of building 3D avatars for virtue communication in the
metaverse, human-computer interaction, AI-generated content, etc., and therefore, it is …

Face alignment is crucial for face recognition and has been widely adopted. However,
current practice is too simple and under-explored. There lacks an understanding of how …

Recent years have witnessed lots of development on face recognition systems including the
ability to adapt to new genuine user features. Self-adapted Face Recognition systems are …

Over the past decade, deep learning has greatly improved the performance of face
recognition. Unfortunately, pose-invariant face recognition still remains a challenge. The …

Over the past decade, deep learning has greatly improved the performance of face
recognition. Unfortunately, pose-invariant face recognition still remains a challenge. The …