142 citations · 223 across the 30 of their papers we have counts for
38 papers
On Missing Scores in Evolving Multibiometric Systems
Melissa R Dale, Anil Jain, Arun Ross
The use of multiple modalities (e.g., face and fingerprint) or multiple algorithms (e.g., three face comparators) has shown to improve the recognition accuracy of an operational bi…
On the Biometric Capacity of Generative Face Models
Vishnu Naresh Boddeti, Gautam Sreekumar, Arun Ross
There has been tremendous progress in generating realistic faces with high fidelity over the past few years. Despite this progress, a crucial question remains unanswered: "Given a…
FarSight: A Physics-Driven Whole-Body Biometric System at Large Distance and Altitude
Feng Liu, Ryan Ashbaugh, Nicholas Chimitt +17
Whole-body biometric recognition is an important area of research due to its vast applications in law enforcement, border security, and surveillance. This paper presents the end-to…
iWarpGAN: Disentangling Identity and Style to Generate Synthetic Iris Images
Shivangi Yadav, Arun Ross
Generative Adversarial Networks (GANs) have shown success in approximating complex distributions for synthetic image generation. However, current GAN-based methods for generating b…
Is Style All You Need? Dependencies Between Emotion and GST-based Speaker Recognition
Morgan Sandler, Arun Ross
In this work, we study the hypothesis that speaker identity embeddings extracted from speech samples may be used for detection and classification of emotion. In particular, we show…
Can GAN-induced Attribute Manipulations Impact Face Recognition?
Sudipta Banerjee, Aditi Aggarwal, Arun Ross
Impact due to demographic factors such as age, sex, race, etc., has been studied extensively in automated face recognition systems. However, the impact of \textit{digitally modifie…