Speakers & Panelists

Forensic face examiners and super-recognizers revisited:  Update of London 2017

   Evaluations and responsible face recognition: five lessons

P. Jonathon Phillips - National Institute of Standards and Technology, USA

Super-recognisers: performance limits and boundary conditions

David White - University of New South Wales, Australia

Score-based likelihood ratios from DCNNs in forensic face examination 

Reuben Moreton  - Reli Research, UK


Closed box tests on facial forensic examiners: what we’ve learned without opening the box

Amy N. Yates - National Institute of Standards and Technology, USA

Deep Convolutional Neural Networks and Psychology: It works, now what?

 Dissecting face representations in deep neural networks

Alice O'Toole - The University of Texas at Dallas, USA

Deep Neural Networks: Humans and machines with disguise   

      Eilidh Noyes - University of Huddersfield, UK

     Convolutional neural net face recognition works in non-human-like ways

      Peter Hancock, University of Stirling, UK

Human visual memory is better predicted by a language-image (CLIP) than an image-trained deep learning algorithms.

Galit Yovel, Tel Aviv University, Israel

A narrow band of image dimensions is important for human and computational models of face recognition.

           Tim Andrews, University of York, UK

Shared neural codes for visual and semantic information about familiar faces in a common representational space

Ida Gobbini - University of Bologna. Italy

Demographics and face recognition for humans and machines: The wrong way to perform like a human

Exploration of Bias in Facial Analytics for Body Mass Index Determination

Karl Ricanek - University of North Carolina at Wilmington, USA  

Demographic variations in face recognition accuracy in machines:  

Mike King - Florida Institute of Technology, , USA  

Face identification in the age of synthetic faces: What is a face, anymore?

Restyling Reality: How the Internet Shapes Facial Perception

Walter Scheirer - University of Notre Dame, , USA 

Deep fake models of superficial face judgments

Alex Todorov - University of Chicago, , USA

      From face recognition in the wild to face recognition using NIR: large scale studies.

              Stefanos Zafeiriou - Imperial College London: UK

Is this face real or fake? 

Kevin Bowyer, University of Notre Dame, USA 

Face identification, algorithms, and difficult problems 

Face recognition at a (far) distance

Xiaoming Liu - Michigan State University, , USA

      Is automatic face recognition a solved problem?

Joseph Kittler, University of Surrey, UK 


A. Michael Burton - University of York, UK

Jim Haxby, Dartmouth College, USA

Walter Scheirer, Notre Dame University, USA