| 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 | 359 | 2018 |
| MFC Datasets: Large-Scale Benchmark Datasets for Media Forensic Challenge Evaluation H Guan, M Kozak, E Robertson, Y Lee, AN Yates, A Delgado, D Zhou, ... 2019 IEEE Winter Applications of Computer Vision Workshops (WACVW), 63-72, 2019 | 189 | 2019 |
| Nonempty intersection of longest paths in series–parallel graphs G Chen, J Ehrenmüller, CG Fernandes, CG Heise, S Shan, P Yang, ... Discrete Mathematics 340 (3), 287-304, 2017 | 33 | 2017 |
| Person recognition: Qualitative differences in how forensic face examiners and untrained people rely on the face versus the body for identification Y Hu, K Jackson, A Yates, D White, PJ Phillips, AJ O’Toole Visual Cognition 25 (4-6), 492-506, 2017 | 19 | 2017 |
| Forensic facial examiners vs. super-recognizers: Evaluating behavior beyond accuracy CA Hahn, LL Tang, AN Yates, PJ Phillips PsyArXiv, 2021 | 6 | 2021 |
| Manipulation Data Collection and Annotation Tool for Media Forensics E Robertson, H Guan, M Kozak, Y Lee, AN Yates, A Delgado, D Zhou, ... Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019 | 6 | 2019 |
| Predicting Face Recognition Performance in Unconstrained Environments. PJ Phillips, AN Yates, JR Beveridge, GH Givens CVPR Workshops, 557-565, 2017 | 5 | 2017 |
| 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, 1-16, 2023 | 4 | 2023 |
| MFC-Prov: Media forensics challenge image provenance evaluation and data analysis on large-scale datasets X Jin, Y Lee, J Fiscus, H Guan, AN Yates, A Delgado, DF Zhou Neurocomputing 470, 76-88, 2022 | 2 | 2022 |
| User Guide for NIST Media Forensic Challenge (MFC) Datasets H Guan, A Delgado, Y Lee, A Yates, D Zhou, TN Kheyrkhah, JG Fiscus | 2 | 2021 |
| 2018 Multimedia Forensics Challenges (MFC18): Summary and Results Y Lee, AN Yates, H Guan, JG Fiscus, D Zhou | 2 | 2020 |
| Media Forensics Challenge 2019 Evaluation Plan AN Yates, H Guan, Y Lee, AP Delgado, DF Zhou, TN Kheyrkhah, ... Amy N. Yates, Haiying Guan, Yooyoung Lee, Andrew P. Delgado, Daniel F. Zhou …, 2020 | 2 | 2020 |
| Intersection of Longest Paths in Graph Theory and Predicting Performance in Facial Recognition A Yates | 2 | 2017 |
| 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 |
| 2018 MediFor Challenge JG Fiscus, H Guan, AP Delgado, TN Kheyrkhah, Y Lee, DF Zhou, ... | 1 | 2019 |
| Nimble Challenge 2017 Evaluation Data and Tool AN Yates, H Guan, Y Lee, AP Delgado, DF Zhou, JG Fiscus Amy N. Yates, Haiying Guan, Yooyoung Lee, Andrew P. Delgado, Daniel F. Zhou …, 2017 | 1 | 2017 |
| 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 |
| NIST Explainable AI Workshop Summary PJ Phillips, C Hahn, P Fontana, A Yates, M Smith P. Jonathon Phillips, Carina Hahn, Peter Fontana, Amy Yates, Matthew Smith, 2022 | | 2022 |
| 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 | | 2021 |
P. Jonathon PhillipsNational Institute of Standards and TechnologyVerified email at nist.gov
