14 citations · 19 across the 4 of their papers we have counts for
3 papers · 1 filter
Key-Nets: Optical Transformation Convolutional Networks for Privacy Preserving Vision Sensors
Jeffrey Byrne, Brian DeCann, Scott Bloom
Modern cameras are not designed with computer vision or machine learning as the target application. There is a need for a new class of vision sensors that are privacy preserving by…
Inducing Predictive Uncertainty Estimation for Face Recognition
Weidi Xie, Jeffrey Byrne, Andrew Zisserman
Knowing when an output can be trusted is critical for reliably using face recognition systems. While there has been enormous effort in recent research on improving face verificatio…
Explainable Face Recognition
Jonathan R. Williford, Brandon B. May, Jeffrey Byrne
Explainable face recognition is the problem of explaining why a facial matcher matches faces. In this paper, we provide the first comprehensive benchmark and baseline evaluation fo…