no code implementations • 30 May 2023 • Blake A. Myers, Lucas Jaggernauth, Thomas M. Metz, Matthew Q. Hill, Veda Nandan Gandi, Carlos D. Castillo, Alice J. O'Toole
Although the non-linguistic model yielded fewer false accepts at all distances, fusion of the linguistic and non-linguistic models decreased false accepts for all, but the UAV images.
no code implementations • 14 Feb 2020 • Connor J. Parde, Y. Ivette Colón, Matthew Q. Hill, Carlos D. Castillo, Prithviraj Dhar, Alice J. O'Toole
Therefore, distributed and sparse codes co-exist in the network units to represent different face attributes.
no code implementations • 28 Dec 2018 • Matthew Q. Hill, Connor J. Parde, Carlos D. Castillo, Y. Ivette Colon, Rajeev Ranjan, Jun-Cheng Chen, Volker Blanz, Alice J. O'Toole
Deep convolutional neural networks (DCNNs) also create generalizable face representations, but with cascades of simulated neurons.
no code implementations • 6 Nov 2016 • Connor J. Parde, Carlos Castillo, Matthew Q. Hill, Y. Ivette Colon, Swami Sankaranarayanan, Jun-Cheng Chen, Alice J. O'Toole
The results show that the DCNN features contain surprisingly accurate information about the yaw and pitch of a face, and about whether the face came from a still image or a video frame.