Currently, face recognition technology (FRT) has been applied ubiquitously. However, due
to the abuse of personal face photos on social media, FRT has encountered unprecedented …

Multimodal machine learning is a vibrant multi-disciplinary field and achieved much
attention due to its wide range of applications. A research problem is multimodal, for the …

Face anti-spoofing refers to the computer determining whether the face detected is a real
face or a forged face. In user authentication scenarios, photo fraud attacks are easy to occur …

Existing deep learning based face anti-spoofing (FAS) or deepfake detection approaches
usually rely on large-scale datasets and powerful networks with significant amount of …

Face Recognition is a widely used authentication method deployed for accessing personal
digital devices like mobiles and laptops, digital door locks, or various security applications …

Biometric data (facial, voice, fingerprint, and retinal scans, for example) are widely used in
identification due to their unique and irreversible nature. Facial recognition technologies are …

Face anti-spoofing is crucial for ensuring the security and reliability of face recognition
systems. Several existing face anti-spoofing methods utilize GAN-like networks to detect …

Facial recognition systems are widely used in various daily applications due to their high
accuracy rate and ease of use. Unfortunately, their performance drops drastically when …

Non-referential face image quality assessment methods have gained popularity as a pre-
filtering step on face recognition systems. In most of them, the quality score is usually …

The detection of computer-generated (CG) multimedia content has become of utmost
importance due to the advances in digital image processing and computer graphics …