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: 



In this workshop, we will bring together face recognition researchers and algorithm developers from psychology, cognitive neuroscience, and computer vision.  We will discuss these questions through presentations, panels, and posters. This workshop will allow the community to assess the current state of the art in machine learning, and will help to chart a path for future research. Workshop attendance will be limited to a small number of participants to allow for active participation by all. 

Workshop location.   As with the 2017 Workshop, the location will be Notre Dame's London Global Gateway Building, Fischer Hall, located at Trafalgar Square.  1-4 Suffolk Street, London, SW1Y 4HG. Venue

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?