IDnow reports significant progress in reducing algorithmic bias in facial recognition systems, following its participation in ...

The journal Pituitary has highlighted research led by Manel Puig, head of the Endocrine, Thyroid and Obesity Research Group ...

Abstract: While face recognition has progressed with better architectures, loss functions, and datasets, issues like label noise, privacy, and imbalance remain. Synthetic datasets address these ...

Abstract: With the development of deep learning, convolutional neural network is mainstream in face recognition but has two problems: poor recognition accuracy due to neglecting global semantic and ...

Abstract: To accurately track dynamic passengers in the rail transit environment and precisely identify passenger facial features including gender recognition and age estimation, this paper proposes ...

Abstract: The ability to accurately identify and decipher traffic signs is a major obstacle on the road to widespread adoption of autonomous vehicles. While advanced algorithms are constantly evolving ...

Abstract: This paper presents a secure and efficient Multi-Factor Authentication (MFA) system designed for payment applications, addressing vulnerabilities associated with traditional single-factor ...

I’m constantly tracking price cuts across multiple online storefronts to ensure the deals are as good as the retailers say. The rest of the deals team and I dive into each product’s price history ...

Abstract: Facial recognition algorithms are known to exhibit varying performance across different subgroups defined by factors like race and gender. These performance differences have been attributed ...

Abstract: Helicopters have received more and more attention in recent years due to their unique flight characteristics and wide range of applications. Accurate identification of the helicopter’s ...