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Grace Bezold

3 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author3

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.CV3

identity via Semantic Scholar / OpenAlex

most citedBeard Segmentation and Recognition Bias

2 citations · 2 across the 3 of their papers we have counts for

collaborators

3 papers

cs.CV2023★ 2 cited

Beard Segmentation and Recognition Bias

Kagan Ozturk, Grace Bezold, Aman Bhatta +2

A person's facial hairstyle, such as presence and size of beard, can significantly impact face recognition accuracy. There are publicly-available deep networks that achieve reasona…

cs.CV2023

Exploring Causes of Demographic Variations In Face Recognition Accuracy

Gabriella Pangelinan, K. S. Krishnapriya, Vitor Albiero +5

In recent years, media reports have called out bias and racism in face recognition technology. We review experimental results exploring several speculated causes for asymmetric cro…

cs.CV2023

Logical Consistency and Greater Descriptive Power for Facial Hair Attribute Learning

Haiyu Wu, Grace Bezold, Aman Bhatta +1

Face attribute research has so far used only simple binary attributes for facial hair; e.g., beard / no beard. We have created a new, more descriptive facial hair annotation scheme…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.