2 citations · 2 across the 2 of their papers we have counts for
6 papers · 1 filter
Class Equilibrium using Coulomb's Law
Saheb Chhabra, Puspita Majumdar, Mayank Vatsa +1
Projection algorithms learn a transformation function to project the data from input space to the feature space, with the objective of increasing the inter-class distance. However,…
Attack Agnostic Adversarial Defense via Visual Imperceptible Bound
Saheb Chhabra, Akshay Agarwal, Richa Singh +1
The high susceptibility of deep learning algorithms against structured and unstructured perturbations has motivated the development of efficient adversarial defense algorithms. How…
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…
Data Fine-tuning
Saheb Chhabra, Puspita Majumdar, Mayank Vatsa +1
In real-world applications, commercial off-the-shelf systems are utilized for performing automated facial analysis including face recognition, emotion recognition, and attribute pr…
Anonymizing k-Facial Attributes via Adversarial Perturbations
Saheb Chhabra, Richa Singh, Mayank Vatsa +1
A face image not only provides details about the identity of a subject but also reveals several attributes such as gender, race, sexual orientation, and age. Advancements in machin…