Amy N. Yates

发表

Nimble Challenge 2017 Evaluation Data and Tool | NIST

Jonathan G. Fiscus, Amy N. Yates, Haiying Guan, 2017 .

MFC Datasets: Large-Scale Benchmark Datasets for Media Forensic Challenge Evaluation

Jonathan G. Fiscus, Amy N. Yates, Haiying Guan, 2019, 2019 IEEE Winter Applications of Computer Vision Workshops (WACVW).

Predicting Face Recognition Performance in Unconstrained Environments

P. Jonathon Phillips, J. Ross Beveridge, Amy N. Yates, 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

Manipulation Data Collection and Annotation Tool for Media Forensics

Jonathan G. Fiscus, Amy N. Yates, Haiying Guan, 2019, CVPR Workshops.

Predicting Face Recognition Performance in Unconstrained Environments

P. Jonathon Phillips, J. Ross Beveridge, Amy N. Yates, 2017, CVPR 2017.

Building calibrated face-identification ability test with Item Response Theory

Alice J. O'Toole, P. Jonathon Phillips, Amy N. Yates, 2020 .

MediFor Nimble Challenge Evaluation | NIST

Jonathan G. Fiscus, Amy N. Yates, Haiying Guan, 2017 .

2018 Multimedia Forensics Challenges (MFC18): Summary and Results

Jonathan G. Fiscus, Amy N. Yates, Haiying Guan, 2020 .

MediFor Nimble Challenge Evaluation 2017 | NIST

Jonathan G. Fiscus, David M. Joy, Amy N. Yates, 2017 .

Nonempty intersection of longest paths in series-parallel graphs

Cristina G. Fernandes, Amy N. Yates, Ping Yang, 2013, Discret. Math..

Its About the Face Impostor Distribution

P. Jonathon Phillips, Amy N. Yates, Geof H. Givens, 2015 .

Media Forensics Challenge Image Provenance Evaluation and State-of-the-Art Analysis on Large-Scale Benchmark Datasets

Jonathan G. Fiscus, Amy N. Yates, Haiying Guan, 2020 .

Four Principles of Explainable Artificial Intelligence

Mark A. Przybocki, Amy N. Yates, Carina A. Hahn, 2021 .

User Guide for NIST Media Forensic Challenge (MFC) Datasets

Jonathan G. Fiscus, Amy N. Yates, Timothée N. Kheyrkhah, 2021 .

Face Identification Proficiency Test Designed Using Item Response Theory pdf

Alice J. O'Toole, Amy N. Yates, Carina A. Hahn, 2021, ArXiv.

2018 MediFor Challenge

Amy N. Yates, Daniel F. Zhou, J. Fiscus, 2019 .

Person recognition: Qualitative differences in how forensic face examiners and untrained people rely on the face versus the body for identification

Alice J. O'Toole, David White, P. Jonathon Phillips, 2017 .

Qualitative Differences Between Professional Forensic Face Examiners and Untrained People in Person Recognition Are Revealed by Item Analysis

Amy N. Yates, A. O'Toole, P. Phillips, 2017 .

Face Identification Proficiency Test Designed Using Item Response Theory

Amy N. Yates, Carina A. Hahn, Jacqueline G. Cavazos, 2021, ArXiv.

Forensic facial examiners vs. super-recognizers: Evaluating behavior beyond accuracy

Amy N. Yates, Carina A. Hahn, P. Phillips, 2021, Applied Cognitive Psychology.

Face recognition accuracy of forensic examiners, superrecognizers, and face recognition algorithms

Swami Sankaranarayanan, Rama Chellappa, Jun-Cheng Chen, 2018, Proceedings of the National Academy of Sciences.

Media Forensics Challenges ( MFC 18 ) : Summary and Results

Amy N. Yates, Daniel F. Zhou, J. Fiscus, 2021 .

Human-Machine Comparison for Cross-Race Face Verification: Race Bias at the Upper Limits of Performance?

Amy N. Yates, P. Phillips, Kathleen A. Marquis, 2023, ArXiv.

Intersection of Longest Paths in Graph Theory and Predicting Performance in Facial Recognition

Amy N. Yates, Amy Yates, 2017 .