Face recognition accuracy of forensic examiners, superrecognizers, and face recognition algorithms PJ Phillips, AN Yates, Y Hu, CA Hahn, E Noyes, K Jackson, JG Cavazos, ... Proceedings of the National Academy of Sciences 115 (24), 6171-6176, 2018 | 368 | 2018 |
Wisdom of the social versus non‐social crowd in face identification G Jeckeln, CA Hahn, E Noyes, JG Cavazos, AJ O'Toole British Journal of Psychology 109 (4), 724-735, 2018 | 24 | 2018 |
Face identification proficiency test designed using item response theory G Jeckeln, Y Hu, JG Cavazos, AN Yates, CA Hahn, L Tang, PJ Phillips, ... Behavior Research Methods 56 (3), 1244-1259, 2024 | 5 | 2024 |
Strategies of Face Recognition by Humans and Machines JG Cavazos, G Jeckeln, Y Hu, AJ O’Toole Deep Learning-Based Face Analytics, 361-379, 2021 | 4 | 2021 |
The influence of the other-race effect on susceptibility to face morphing attacks S Mallick, G Jeckeln, CJ Parde, CD Castillo, AJ O’toole ACM Transactions on Applied Perception 21 (1), 1-13, 2023 | 3 | 2023 |
Confidence judgments are associated with face identification accuracy: Findings from a confidence forced-choice task G Jeckeln, P Mamassian, AJ O’toole Behavior Research Methods 55 (8), 4118-4127, 2023 | 2 | 2023 |
Collaboration to improve cross‐race face identification: Wisdom of the multi‐racial crowd? JG Cavazos, G Jeckeln, AJ O'Toole British Journal of Psychology 114 (4), 838-853, 2023 | 2 | 2023 |
Who Is That? Perceptual Expertise on Other-Race Face Comparisons, Disguised Face Comparisons, and Face Memory AN Yates, JG Cavazos, G Jeckeln, Y Hu, E Noyes, CA Hahn, A O'TOOLE, ... PsyArXiv, 2023 | 1 | 2023 |
Collaboration to improve cross-race face recognition: Wisdom of the multi-racial crowd? JG Cavazos, G Jeckeln, A O'TOOLE PsyArXiv, 2021 | 1 | 2021 |
Face Identification Proficiency Test Designed Using Item Response Theory C Hahn, A Yates, PJ Phillips, A O'Toole, G Jeckeln, J Cavazos, Y Hu Carina Hahn, Amy Yates, P. Jonathon Phillips, Alice O'Toole, Geraldine …, 2021 | 1 | 2021 |
Designing an “Other Race Effect” test for forensic facial identification experts using the performance of deep networks and untrained humans. K Marquis, S Yavuzcan, G Jeckeln, A Yates, PJ Phillips, A O'Toole Journal of Vision 23 (9), 5725-5725, 2023 | | 2023 |
Human-Machine Comparison for Cross-Race Face Verification: Race Bias at the Upper Limits of Performance? G Jeckeln, S Yavuzcan, KA Marquis, PS Mehta, AN Yates, PJ Phillips arXiv preprint arXiv:2305.16443, 2023 | | 2023 |
The Influence of the Other-Race Effect on Morphed Face Identification S Mallick, G Jeckeln, CJ Parde, CD Castillo, AJ O’Toole Journal of Vision 22 (14), 3177-3177, 2022 | | 2022 |
People can evaluate the correctness of their face-identification decisions using comparative confidence judgments G Jeckeln, P Mamassian, AJ O'Toole Journal of Vision 22 (14), 3341-3341, 2022 | | 2022 |
Building calibrated face-identification ability test with Item Response Theory G Jeckeln, Y Hu, JG Cavazos, AN Yates, CA Hahn, L Tang, AJ O’Toole, ... Journal of Vision 20 (11), 579-579, 2020 | | 2020 |
Does social collaboration benefit face-matching accuracy over simply fusing individuals' responses? G Jeckeln, E Noyes, C Hahn, A O'Toole Journal of Vision 17 (10), 1004-1004, 2017 | | 2017 |