25 citations · 26 across the 4 of their papers we have counts for
5 papers
WSSAMNet: Weakly Supervised Semantic Attentive Medical Image Registration Network
Sahar Almahfouz Nasser, Nikhil Cherian Kurian, Saqib Shamsi +2
We present WSSAMNet, a weakly supervised method for medical image registration. Ours is a two step method, with the first step being the computation of segmentation masks of the fi…
Perceptual cGAN for MRI Super-resolution
Sahar Almahfouz Nasser, Saqib Shamsi, Valay Bundele +2
Capturing high-resolution magnetic resonance (MR) images is a time consuming process, which makes it unsuitable for medical emergencies and pediatric patients. Low-resolution MR im…
NL-Augmenter: A Framework for Task-Sensitive Natural Language Augmentation
Kaustubh D. Dhole, Varun Gangal, Sebastian Gehrmann +122
Data augmentation is an important component in the robustness evaluation of models in natural language processing (NLP) and in enhancing the diversity of the data they are trained…
Self-Supervised Visual Representation Learning Using Lightweight Architectures
Prathamesh Sonawane, Sparsh Drolia, Saqib Shamsi +1
In self-supervised learning, a model is trained to solve a pretext task, using a data set whose annotations are created by a machine. The objective is to transfer the trained weigh…
Group Affect Prediction Using Multimodal Distributions
Saqib Shamsi, Bhanu Pratap Singh Rawat, Manya Wadhwa
We describe our approach towards building an efficient predictive model to detect emotions for a group of people in an image. We have proposed that training a Convolutional Neural…