10 citations · 12 across the 4 of their papers we have counts for
4 papers · 1 filter
Unlocking the power of partnership: How humans and machines can work together to improve face recognition
P. Jonathon Phillips, Geraldine Jeckeln, Amy N. Yates +3
Human review of consequential decisions by face recognition algorithms creates a collaborative human-machine system. We establish the circumstances under which combining human and…
Human-Machine Comparison for Cross-Race Face Verification: Race Bias at the Upper Limits of Performance?
Geraldine Jeckeln, Selin Yavuzcan, Kate A. Marquis +4
Face recognition algorithms perform more accurately than humans in some cases, though humans and machines both show race-based accuracy differences. As algorithms continue to impro…
The Influence of the Other-Race Effect on Susceptibility to Face Morphing Attacks
Snipta Mallick, Geraldine Jeckeln, Connor J. Parde +2
Facial morphs created between two identities resemble both of the faces used to create the morph. Consequently, humans and machines are prone to mistake morphs made from two identi…
Face Identification Proficiency Test Designed Using Item Response Theory
Géraldine Jeckeln, Ying Hu, Jacqueline G. Cavazos +5
Measures of face-identification proficiency are essential to ensure accurate and consistent performance by professional forensic face examiners and others who perform face-identifi…