22 citations · 61 across the 14 of their papers we have counts for
5 papers · 2 filters
Accuracy comparison across face recognition algorithms: Where are we on measuring race bias?
Jacqueline G. Cavazos, P. Jonathon Phillips, Carlos D. Castillo +1
Previous generations of face recognition algorithms differ in accuracy for images of different races (race bias). Here, we present the possible underlying factors (data-driven and…
How are attributes expressed in face DCNNs?
Prithviraj Dhar, Ankan Bansal, Carlos D. Castillo +3
As deep networks become increasingly accurate at recognizing faces, it is vital to understand how these networks process faces. While these networks are solely trained to recognize…
Uncertainty Modeling of Contextual-Connections between Tracklets for Unconstrained Video-based Face Recognition
Jingxiao Zheng, Ruichi Yu, Jun-Cheng Chen +3
Unconstrained video-based face recognition is a challenging problem due to significant within-video variations caused by pose, occlusion and blur. To tackle this problem, an effect…
On measuring the iconicity of a face
Prithviraj Dhar, Carlos D. Castillo, Rama Chellappa
For a given identity in a face dataset, there are certain iconic images which are more representative of the subject than others. In this paper, we explore the problem of computing…
Evaluating the Effectiveness of Automated Identity Masking (AIM) Methods with Human Perception and a Deep Convolutional Neural Network (CNN)
Kimberley D. Orsten-Hooge, Asal Baragchizadeh, Thomas P. Karnowski +5
Face de-identification algorithms have been developed in response to the prevalent use of public video recordings and surveillance cameras. Here, we evaluated the success of identi…