Easy access to audio-visual content on social media, combined with the availability of
modern tools such as Tensorflow or Keras, and open-source trained models, along with …

Deep learning models currently achieve human levels of performance on real-world face
recognition tasks. We review scientific progress in understanding human face processing …

Achieving the upper limits of face identification accuracy in forensic applications can
minimize errors that have profound social and personal consequences. Although forensic …

Face detection is one of the most studied topics in computer vision literature, not only
because of the challenging nature of face as an object, but also due to the countless …

Humans perceive the three-dimensional structure of the world with apparent ease. However,
despite all of the recent advances in computer vision research, the dream of having a …

The book you are about to read is about research that asks questions like" How do our
senses operate?"" What is the connection between nervous system activity and perception?" …

Face verification remains a challenging problem in very complex conditions with large
variations such as pose, illumination, expression, and occlusions. This problemis …

We present two novel methods for face verification. Our first method-“attribute” classifiers-
uses binary classifiers trained to recognize the presence or absence of describable aspects …

Abstract Since Alan Turing envisioned artificial intelligence, technical progress has often
been measured by the ability to defeat humans in zero-sum encounters (eg, Chess, Poker …

We introduce the use of describable visual attributes for face verification and image search.
Describable visual attributes are labels that can be given to an image to describe its …