Grace Bezold — accepted AI-conference papers

2026

Goldilocks Test Sets for Face Verification

Haiyu Wu, Sicong Tian, Aman Bhatta, Jacob Gutierrez, Grace Bezold, Genesis Argueta +3

CVPR 2026

Reported face verification accuracy has reached a plateau on current well-known test sets. As a result, some difficult test sets have been assembled by reducing the image quality or adding artifacts to the image. However, we argue that test sets can be challenging without artificially reducing the i

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2023

Logical Consistency and Greater Descriptive Power for Facial Hair Attribute Learning

Haiyu Wu, Grace Bezold, Aman Bhatta, Kevin W. Bowyer

CVPR 2023poster

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 and applied it to create a new facial hair attribute dataset, FH37K. Face attribute research also so far has not dealt…

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