75 citations · 129 across the 5 of their papers we have counts for
5 papers
Twin identification over viewpoint change: A deep convolutional neural network surpasses humans
Connor J. Parde, Virginia E. Strehle, Vivekjyoti Banerjee +4
Deep convolutional neural networks (DCNNs) have achieved human-level accuracy in face identification (Phillips et al., 2018), though it is unclear how accurately they discriminate…
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…
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…
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…
Deep Convolutional Neural Network Features and the Original Image
Connor J. Parde, Carlos Castillo, Matthew Q. Hill +4
Face recognition algorithms based on deep convolutional neural networks (DCNNs) have made progress on the task of recognizing faces in unconstrained viewing conditions. These netwo…