activity
20172024
most citedHierarchical Representation Learning for Kinship Verification

81 citations · 128 across the 4 of their papers we have counts for

collaborators

6 papers

cs.LG2024

Valuing an Engagement Surface using a Large Scale Dynamic Causal Model

Abhimanyu Mukerji, Sushant More, Ashwin Viswanathan Kannan +5

With recent rapid growth in online shopping, AI-powered Engagement Surfaces (ES) have become ubiquitous across retail services. These engagement surfaces perform an increasing rang…

cs.AI2020★ 12 cited

Turn Signal Prediction: A Federated Learning Case Study

Sonal Doomra, Naman Kohli, Shounak Athavale

Driving etiquette takes a different flavor for each locality as drivers not only comply with rules/laws but also abide by local unspoken convention. When to have the turn signal (i…

cs.CV2020

Age Gap Reducer-GAN for Recognizing Age-Separated Faces

Daksha Yadav, Naman Kohli, Mayank Vatsa +2

In this paper, we propose a novel algorithm for matching faces with temporal variations caused due to age progression. The proposed generative adversarial network algorithm is a un…

cs.CV2018★ 35 cited

Supervised Mixed Norm Autoencoder for Kinship Verification in Unconstrained Videos

Naman Kohli, Daksha Yadav, Mayank Vatsa +2

Identifying kinship relations has garnered interest due to several applications such as organizing and tagging the enormous amount of videos being uploaded on the Internet. Existin…

cs.CV2018★ 81 cited

Hierarchical Representation Learning for Kinship Verification

Naman Kohli, Mayank Vatsa, Richa Singh +2

Kinship verification has a number of applications such as organizing large collections of images and recognizing resemblances among humans. In this research, first, a human study i…

cs.CV2017

Synthetic Iris Presentation Attack using iDCGAN

Naman Kohli, Daksha Yadav, Mayank Vatsa +2

Reliability and accuracy of iris biometric modality has prompted its large-scale deployment for critical applications such as border control and national ID projects. The extensive…