9 citations · 17 across the 4 of their papers we have counts for
6 papers
The Influence of the Other-Race Effect on Susceptibility to Face Morphing Attacks
Snipta Mallick, Geraldine Jeckeln, Connor J. Parde +2
Facial morphs created between two identities resemble both of the faces used to create the morph. Consequently, humans and machines are prone to mistake morphs made from two identi…
A Study of the Human Perception of Synthetic Faces
Bingyu Shen, Brandon RichardWebster, Alice O'Toole +2
Advances in face synthesis have raised alarms about the deceptive use of synthetic faces. Can synthetic identities be effectively used to fool human observers? In this paper, we in…
Single Unit Status in Deep Convolutional Neural Network Codes for Face Identification: Sparseness Redefined
Connor J. Parde, Y. Ivette Colón, Matthew Q. Hill +3
Deep convolutional neural networks (DCNNs) trained for face identification develop representations that generalize over variable images, while retaining subject (e.g., gender) and…
Evaluating the Effectiveness of Automated Identity Masking (AIM) Methods with Human Perception and a Deep Convolutional Neural Network (CNN)
Kimberley D. Orsten-Hooge, Asal Baragchizadeh, Thomas P. Karnowski +5
Face de-identification algorithms have been developed in response to the prevalent use of public video recordings and surveillance cameras. Here, we evaluated the success of identi…
Deep Convolutional Neural Networks in the Face of Caricature: Identity and Image Revealed
Matthew Q. Hill, Connor J. Parde, Carlos D. Castillo +5
Real-world face recognition requires an ability to perceive the unique features of an individual face across multiple, variable images. The primate visual system solves the problem…
Face recognition assessments used in the study of super-recognisers
Eilidh Noyes, Alice J. O'Toole
The purpose of this paper is to provide a brief overview of nine assessments of face processing skills. These tests have been used commonly in recent years to gauge the skills of p…