3 citations · 6 across the 5 of their papers we have counts for
13 papers
Unravelling Small Sample Size Problems in the Deep Learning World
Rohit Keshari, Soumyadeep Ghosh, Saheb Chhabra +2
The growth and success of deep learning approaches can be attributed to two major factors: availability of hardware resources and availability of large number of training samples.…
Subclass Contrastive Loss for Injured Face Recognition
Puspita Majumdar, Saheb Chhabra, Richa Singh +1
Deaths and injuries are common in road accidents, violence, and natural disaster. In such cases, one of the main tasks of responders is to retrieve the identity of the victims to r…
Multi-Task Driven Explainable Diagnosis of COVID-19 using Chest X-ray Images
Aakarsh Malhotra, Surbhi Mittal, Puspita Majumdar +7
With increasing number of COVID-19 cases globally, all the countries are ramping up the testing numbers. While the RT-PCR kits are available in sufficient quantity in several count…
Securing CNN Model and Biometric Template using Blockchain
Akhil Goel, Akshay Agarwal, Mayank Vatsa +2
Blockchain has emerged as a leading technology that ensures security in a distributed framework. Recently, it has been shown that blockchain can be used to convert traditional bloc…
Generalized Zero-Shot Learning Via Over-Complete Distribution
Rohit Keshari, Richa Singh, Mayank Vatsa
A well trained and generalized deep neural network (DNN) should be robust to both seen and unseen classes. However, the performance of most of the existing supervised DNN algorithm…
On the Robustness of Face Recognition Algorithms Against Attacks and Bias
Richa Singh, Akshay Agarwal, Maneet Singh +2
Face recognition algorithms have demonstrated very high recognition performance, suggesting suitability for real world applications. Despite the enhanced accuracies, robustness of…