Workshop on Humans, Deep Networks & Face Recognition
March 13-14, 2023 London
Kevin Bowyer, University of Notre Dame, USA
Eilidh Noyes, University of Huddersfield, UK
Alice O'Toole, University of Texas at Dallas, USA
P. Jonathon Phillips, National Institute of Standards & Technology, USA
Face recognition has been a topic of intense scientific research for over a half century and has in recent years been studied both by psychologists and computer vision/machine learning researchers. Inspired by the primate visual system, deep learning and convolutional neural networks (DCNNs) now recognize faces as accurately as humans in many cases. However, we do not know whether/how the underlying representations and computational strategies used by deep networks relate to human face processing. As we go forward, consideration and discussion of the following topics can motivate and focus the coming decade of research. Topics to be discussed at the workshop:
Face Examiners and Super-recognizers: Revisiting 2017
Deep Networks and Face Recognition:
It works, now what?
Challenge of Demographic Performance Equity
Face Identification in the age of synthetic and morphed faces
What is a face anymore?