activity
20162021
most citedGoing Deeper Into Face Detection: A Survey

51 citations · 111 across the 14 of their papers we have counts for

collaborators

42 papers

cs.CV20213 cited

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…

cs.CV2021

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…

cs.CV2021

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…

cs.CV2021

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…

cs.CV2021

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…

cs.CV2021

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…