Modern deep CNN face matchers are trained on datasets containing color
i...
Most studies to date that have examined demographic variations in face
r...
The issue of disparities in face recognition accuracy across demographic...
In recent years, media reports have called out bias and racism in face
r...
Face attribute research has so far used only simple binary attributes fo...
We report the first analysis of the experimental foundations of facial
a...
It is broadly accepted that there is a "gender gap" in face recognition
...
This is the first work that we are aware of to explore how the level of
...
Media reports have accused face recognition of being ”biased”, ”sexist”
...
Remote photoplethysmography (rPPG) is a technique for estimating blood v...
We present the Deception Detection and Physiological Monitoring (DDPM)
d...
News reports have suggested that darker skin tone causes an increase in ...
This paper is the first to explore the question of whether images that a...
Recent news articles have accused face recognition of being "biased",
"s...
As the popularity of iris recognition systems increases, the importance ...
The automatic analysis of face images can generate predictions about a
p...
Web-scraped, in-the-wild datasets have become the norm in face recogniti...
Diversity and unpredictability of artifacts potentially presented to an ...
Even though deep learning methods have greatly increased the overall acc...
We present a comprehensive analysis of how and why face recognition accu...
Matching live images (“selfies”) to images from ID documents is a proble...
Previous studies generally agree that face recognition accuracy is highe...
We propose a new iris presentation attack detection method using
three-d...
We propose a multi-scale GAN model to hallucinate realistic context
(for...
We propose an algorithm to generate realistic face im-ages of both real ...
This paper proposes the first, known to us, open source presentation att...
Binarized statistical image features (BSIF) have been successfully used ...
This paper advances the state of the art in human examination of iris im...
Creative works, whether paintings or memes, follow unique journeys that
...
Iris recognition is increasingly used in large-scale applications. As a
...
Prior art has shown it is possible to estimate, through image processing...
Digital retouching of face images is becoming more widespread due to the...
Iris recognition systems are a mature technology that is widely used
thr...
The Computer Vision Research Lab at the University of Notre Dame began
c...