no code implementations • 17 Jul 2023 • Ngoc-Ty Nguyen, P. Jonathon Phillips, Larry Tang
Ordinal scores occur commonly in medical imaging studies and in black-box forensic studies \citep{Phillips:2018}.
no code implementations • 25 May 2023 • Geraldine Jeckeln, Selin Yavuzcan, Kate A. Marquis, Prajay Sandipkumar Mehta, Amy N. Yates, P. Jonathon Phillips, Alice J. O'Toole
Two top-performing face recognition systems from the Face Recognition Vendor Test-ongoing performed the same test (7).
no code implementations • 17 Dec 2021 • Prithviraj Dhar, Joshua Gleason, Aniket Roy, Carlos D. Castillo, P. Jonathon Phillips, Rama Chellappa
In D&D, we train a teacher network on images from one category of an attribute; e. g. light skintone.
no code implementations • 22 Jun 2021 • Géraldine Jeckeln, Ying Hu, Jacqueline G. Cavazos, Amy N. Yates, Carina A. Hahn, Larry Tang, P. Jonathon Phillips, Alice J. O'Toole
Multiple tests of equal difficulty can be constructed then using subsets of items.
no code implementations • 3 Feb 2020 • P. Jonathon Phillips, Mark Przybocki
Traditionally, researchers in automatic face recognition and biometric technologies have focused on developing accurate algorithms.
no code implementations • 16 Dec 2019 • Jacqueline G. Cavazos, P. Jonathon Phillips, Carlos D. Castillo, Alice J. O'Toole
We discuss data driven factors (e. g., image quality, image population statistics, and algorithm architecture), and scenario modeling factors that consider the role of the "user" of the algorithm (e. g., threshold decisions and demographic constraints).
no code implementations • 12 Oct 2019 • Prithviraj Dhar, Ankan Bansal, Carlos D. Castillo, Joshua Gleason, P. Jonathon Phillips, Rama Chellappa
In the final fully connected layer of the networks, we found the order of expressivity for facial attributes to be Age > Sex > Yaw.