activity
20192021
most citedCharacterizing the Variability in Face Recognition Accuracy Relative to Race

44 citations · 48 across the 3 of their papers we have counts for

collaborators

8 papers

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…

cs.CV20204 cited

Is Face Recognition Sexist? No, Gendered Hairstyles and Biology Are

Vítor Albiero, Kevin W. Bowyer

Recent news articles have accused face recognition of being "biased", "sexist" or "racist". There is consensus in the research literature that face recognition accuracy is lower fo…

cs.CV2020

A Method for Curation of Web-Scraped Face Image Datasets

Kai Zhang, Vítor Albiero, Kevin W. Bowyer

Web-scraped, in-the-wild datasets have become the norm in face recognition research. The numbers of subjects and images acquired in web-scraped datasets are usually very large, wit…

cs.CV2020

How Does Gender Balance In Training Data Affect Face Recognition Accuracy?

Vítor Albiero, Kai Zhang, Kevin W. Bowyer

Deep learning methods have greatly increased the accuracy of face recognition, but an old problem still persists: accuracy is usually higher for men than women. It is often specula…

cs.CV2020

Analysis of Gender Inequality In Face Recognition Accuracy

Vítor Albiero, Krishnapriya K. S., Kushal Vangara +3

We present a comprehensive analysis of how and why face recognition accuracy differs between men and women. We show that accuracy is lower for women due to the combination of (1) t…

cs.CV2019

Identity Document to Selfie Face Matching Across Adolescence

Vítor Albiero, Nisha Srinivas, Esteban Villalobos +5

Matching live images (``selfies'') to images from ID documents is a problem that can arise in various applications. A challenging instance of the problem arises when the face image…