22 citations · 27 across the 4 of their papers we have counts for
4 papers
Recognizing People by Body Shape Using Deep Networks of Images and Words
Blake A. Myers, Lucas Jaggernauth, Thomas M. Metz +4
Common and important applications of person identification occur at distances and viewpoints in which the face is not visible or is not sufficiently resolved to be useful. We exami…
Twin identification over viewpoint change: A deep convolutional neural network surpasses humans
Connor J. Parde, Virginia E. Strehle, Vivekjyoti Banerjee +4
Deep convolutional neural networks (DCNNs) have achieved human-level accuracy in face identification (Phillips et al., 2018), though it is unclear how accurately they discriminate…
Distill and De-bias: Mitigating Bias in Face Verification using Knowledge Distillation
Prithviraj Dhar, Joshua Gleason, Aniket Roy +3
Face recognition networks generally demonstrate bias with respect to sensitive attributes like gender, skintone etc. For gender and skintone, we observe that the regions of the fac…
An All-In-One Convolutional Neural Network for Face Analysis
Rajeev Ranjan, Swami Sankaranarayanan, Carlos D. Castillo +1
We present a multi-purpose algorithm for simultaneous face detection, face alignment, pose estimation, gender recognition, smile detection, age estimation and face recognition usin…