In recent years, media reports have called out bias and racism in face
r...
This paper introduces a new large consent-driven dataset aimed at assist...
Spurious correlations in training data often lead to robustness issues s...
Developing robust and fair AI systems require datasets with comprehensiv...
It is broadly accepted that there is a "gender gap" in face recognition
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This is the first work that we are aware of to explore how the level of
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Media reports have accused face recognition of being ”biased”, ”sexist”
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This paper is the first to explore the question of whether images that a...
We propose real-time, six degrees of freedom (6DoF), 3D face pose estima...
Recent news articles have accused face recognition of being "biased",
"s...
Web-scraped, in-the-wild datasets have become the norm in face recogniti...
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...
Many recent news headlines have labeled face recognition technology as b...