Modern deep CNN face matchers are trained on datasets containing" color" images. We
show that such matchers achieve essentially the same accuracy on color images when …

Existing facial analysis systems have been shown to yield biased results against certain
demographic subgroups. Due to its impact on society, it has become imperative to ensure …

Face biometrics play a primary role in smart cities, from consumer-to organizational-level
applications. This class of technologies has been recently shown to emphasize performance …

Facial analysis systems have been deployed by large companies and critiqued by scholars
and activists for the past decade. Many existing algorithmic audits examine the performance …

Recently, facial expression recognition techniques have made significant progress on high-
resolution web images. However, in real-world applications, the obtained images are often …

In this paper, we propose a novel explanatory framework aimed to provide a better
understanding of how face recognition models perform as the underlying data …

Extracting useful knowledge from multimodal data is the core of many multimedia
applications, such as recommendation systems, and cross-modal retrieval. In this paper, we …

Facial recognition is one of the most academically studied and industrially developed areas
within computer vision where we readily find associated applications deployed globally. This …

The bioinspired camera, comprising a single lens and a curved image sensor—a
photodiode array on a curved surface—, was born of flexible electronics. Its economical …

Artificial Intelligence (AI) has seamlessly integrated into numerous scientific domains,
catalysing unparalleled enhancements across a broad spectrum of tasks; however, its …