no code implementations • 22 Dec 2020 • Sonal Doomra, Naman Kohli, Shounak Athavale
Learning this behavior from the abundance of data generated from various sensor modalities integrated in the vehicle is a suitable candidate for deep learning.
no code implementations • 11 Nov 2020 • Daksha Yadav, Naman Kohli, Mayank Vatsa, Richa Singh, Afzel Noore
In this paper, we propose a novel algorithm for matching faces with temporal variations caused due to age progression.
no code implementations • 30 May 2018 • Naman Kohli, Daksha Yadav, Mayank Vatsa, Richa Singh, Afzel Noore
In this research, we propose a new deep learning framework for kinship verification in unconstrained videos using a novel Supervised Mixed Norm regularization Autoencoder (SMNAE).
no code implementations • 27 May 2018 • Naman Kohli, Mayank Vatsa, Richa Singh, Afzel Noore, Angshul Majumdar
Utilizing the information obtained from the human study, a hierarchical Kinship Verification via Representation Learning (KVRL) framework is utilized to learn the representation of different face regions in an unsupervised manner.
no code implementations • 29 Oct 2017 • Naman Kohli, Daksha Yadav, Mayank Vatsa, Richa Singh, Afzel Noore
We demonstrate the effect of these synthetically generated iris images as presentation attack on iris recognition by using a commercial system.