77 citations · 146 across the 5 of their papers we have counts for
7 papers
Psychophysical-Score: A Behavioral Measure for Assessing the Biological Plausibility of Visual Recognition Models
Brandon RichardWebster, Justin Dulay, Anthony DiFalco +2
For the last decade, convolutional neural networks (CNNs) have vastly superseded their predecessors in nearly all vision tasks in artificial intelligence, including object recognit…
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…
Bridging the Gap Between Computational Photography and Visual Recognition
Rosaura G. VidalMata, Sreya Banerjee, Brandon RichardWebster +21
What is the current state-of-the-art for image restoration and enhancement applied to degraded images acquired under less than ideal circumstances? Can the application of such algo…
A Neurobiological Evaluation Metric for Neural Network Model Search
Nathaniel Blanchard, Jeffery Kinnison, Brandon RichardWebster +2
Neuroscience theory posits that the brain's visual system coarsely identifies broad object categories via neural activation patterns, with similar objects producing similar neural…
Visual Psychophysics for Making Face Recognition Algorithms More Explainable
Brandon RichardWebster, So Yon Kwon, Christopher Clarizio +2
Scientific fields that are interested in faces have developed their own sets of concepts and procedures for understanding how a target model system (be it a person or algorithm) pe…
PsyPhy: A Psychophysics Driven Evaluation Framework for Visual Recognition
Brandon RichardWebster, Samuel E. Anthony, Walter J. Scheirer
By providing substantial amounts of data and standardized evaluation protocols, datasets in computer vision have helped fuel advances across all areas of visual recognition. But ev…
To Frontalize or Not To Frontalize: Do We Really Need Elaborate Pre-processing To Improve Face Recognition?
Sandipan Banerjee, Joel Brogan, Janez Krizaj +5
Face recognition performance has improved remarkably in the last decade. Much of this success can be attributed to the development of deep learning techniques such as convolutional…