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 …

Inspired by the primate visual system, deep convolutional neural networks (DCNNs) have
made impressive progress on the complex problem of recognizing faces across variations of …

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 …

EBK: SENSATION/PERCEPTION Page 1 Page 2 E. Bruce Goldstein University of Pittsburgh
University of Arizona and Laura Cacciamani California Polytechnic State University Sensation …

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 …

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

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 …