10 citations · 51 across the 32 of their papers we have counts for
5 papers · 1 filter
Compact CNN Models for On-device Ocular-based User Recognition in Mobile Devices
Ali Almadan, Ajita Rattani
A number of studies have demonstrated the efficacy of deep learning convolutional neural network (CNN) models for ocular-based user recognition in mobile devices. However, these hi…
Harnessing Unlabeled Data to Improve Generalization of Biometric Gender and Age Classifiers
Aakash Varma Nadimpalli, Narsi Reddy, Sreeraj Ramachandran +1
With significant advances in deep learning, many computer vision applications have reached the inflection point. However, these deep learning models need large amount of labeled da…
Investigating Fairness of Ocular Biometrics Among Young, Middle-Aged, and Older Adults
Anoop Krishnan, Ali Almadan, Ajita Rattani
A number of studies suggest bias of the face biometrics, i.e., face recognition and soft-biometric estimation methods, across gender, race, and age groups. There is a recent urge t…
An Experimental Evaluation on Deepfake Detection using Deep Face Recognition
Sreeraj Ramachandran, Aakash Varma Nadimpalli, Ajita Rattani
Significant advances in deep learning have obtained hallmark accuracy rates for various computer vision applications. However, advances in deep generative models have also led to t…
Towards On-Device Face Recognition in Body-worn Cameras
Ali Almadan, Ajita Rattani
Face recognition technology related to recognizing identities is widely adopted in intelligence gathering, law enforcement, surveillance, and consumer applications. Recently, this…