33.1k citations · 33.4k across the 52 of their papers we have counts for
11 papers · 1 filter
Gendered Differences in Face Recognition Accuracy Explained by Hairstyles, Makeup, and Facial Morphology
Vítor Albiero, Kai Zhang, Michael C. King +1
Media reports have accused face recognition of being ''biased'', ''sexist'' and ''racist''. There is consensus in the research literature that face recognition accuracy is lower fo…
Interpretable Deep Learning-Based Forensic Iris Segmentation and Recognition
Andrey Kuehlkamp, Aidan Boyd, Adam Czajka +4
Iris recognition of living individuals is a mature biometric modality that has been adopted globally from governmental ID programs, border crossing, voter registration and de-dupli…
CYBORG: Blending Human Saliency Into the Loss Improves Deep Learning
Aidan Boyd, Patrick Tinsley, Kevin Bowyer +1
Can deep learning models achieve greater generalization if their training is guided by reference to human perceptual abilities? And how can we implement this in a practical manner?…
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…
Digital and Physical-World Attacks on Remote Pulse Detection
Jeremy Speth, Nathan Vance, Patrick Flynn +2
Remote photoplethysmography (rPPG) is a technique for estimating blood volume changes from reflected light without the need for a contact sensor. We present the first examples of p…
Deception Detection and Remote Physiological Monitoring: A Dataset and Baseline Experimental Results
Jeremy Speth, Nathan Vance, Adam Czajka +3
We present the Deception Detection and Physiological Monitoring (DDPM) dataset and initial baseline results on this dataset. Our application context is an interview scenario in whi…
Human-Aided Saliency Maps Improve Generalization of Deep Learning
Aidan Boyd, Kevin Bowyer, Adam Czajka
Deep learning has driven remarkable accuracy increases in many computer vision problems. One ongoing challenge is how to achieve the greatest accuracy in cases where training data…
Analysis of Manual and Automated Skin Tone Assignments for Face Recognition Applications
KS Krishnapriya, Michael C. King, Kevin W. Bowyer
News reports have suggested that darker skin tone causes an increase in face recognition errors. The Fitzpatrick scale is widely used in dermatology to classify sensitivity to sun…
Does Face Recognition Error Echo Gender Classification Error?
Ying Qiu, Vítor Albiero, Michael C. King +1
This paper is the first to explore the question of whether images that are classified incorrectly by a face analytics algorithm (e.g., gender classification) are any more or less l…
Going Deeper Into Face Detection: A Survey
Shervin Minaee, Ping Luo, Zhe Lin +1
Face detection is a crucial first step in many facial recognition and face analysis systems. Early approaches for face detection were mainly based on classifiers built on top of ha…
Remote Pulse Estimation in the Presence of Face Masks
Jeremy Speth, Nathan Vance, Patrick Flynn +2
Remote photoplethysmography (rPPG), a family of techniques for monitoring blood volume changes, may be especially useful for widespread contactless health monitoring using face vid…