35 citations · 48 across the 5 of their papers we have counts for
6 papers
FedFace: Collaborative Learning of Face Recognition Model
Divyansh Aggarwal, Jiayu Zhou, Anil K. Jain
DNN-based face recognition models require large centrally aggregated face datasets for training. However, due to the growing data privacy concerns and legal restrictions, accessing…
Lifting 2D StyleGAN for 3D-Aware Face Generation
Yichun Shi, Divyansh Aggarwal, Anil K. Jain
We propose a framework, called LiftedGAN, that disentangles and lifts a pre-trained StyleGAN2 for 3D-aware face generation. Our model is "3D-aware" in the sense that it is able to…
Child Face Age-Progression via Deep Feature Aging
Debayan Deb, Divyansh Aggarwal, Anil K. Jain
Given a gallery of face images of missing children, state-of-the-art face recognition systems fall short in identifying a child (probe) recovered at a later age. We propose a featu…
Finding Missing Children: Aging Deep Face Features
Debayan Deb, Divyansh Aggarwal, Anil K. Jain
Given a gallery of face images of missing children, state-of-the-art face recognition systems fall short in identifying a child (probe) recovered at a later age. We propose an age-…
Learning Style Compatibility for Furniture
Divyansh Aggarwal, Elchin Valiyev, Fadime Sener +1
When judging style, a key question that often arises is whether or not a pair of objects are compatible with each other. In this paper we investigate how Siamese networks can be us…
VGR-Net: A View Invariant Gait Recognition Network
Daksh Thapar, Divyansh Aggarwal, Punjal Agarwal +1
Biometric identification systems have become immensely popular and important because of their high reliability and efficiency. However person identification at a distance, still re…