30 citations · 63 across the 8 of their papers we have counts for
8 papers
Self-Supervised Learning Based Handwriting Verification
Mihir Chauhan, Mohammad Abuzar Hashemi, Abhishek Satbhai +5
We present SSL-HV: Self-Supervised Learning approaches applied to the task of Handwriting Verification. This task involves determining whether a given pair of handwritten images or…
Improving Joint Learning of Chest X-Ray and Radiology Report by Word Region Alignment
Zhanghexuan Ji, Mohammad Abuzar Shaikh, Dana Moukheiber +3
Self-supervised learning provides an opportunity to explore unlabeled chest X-rays and their associated free-text reports accumulated in clinical routine without manual supervision…
Soft-Attention Improves Skin Cancer Classification Performance
Soumyya Kanti Datta, Seyed Mohammad Abuzar Hashemi, Sargur N. Srihari +1
In clinical applications, neural networks must focus on and highlight the most important parts of an input image. Soft-Attention mechanism enables a neural network toachieve this g…
Self-Supervised Claim Identification for Automated Fact Checking
Archita Pathak, Mohammad Abuzar Shaikh, Rohini Srihari
We propose a novel, attention-based self-supervised approach to identify "claim-worthy" sentences in a fake news article, an important first step in automated fact-checking. We lev…
Attention based Writer Independent Handwriting Verification
Mohammad Abuzar Shaikh, Tiehang Duan, Mihir Chauhan +1
The task of writer verification is to provide a likelihood score for whether the queried and known handwritten image samples belong to the same writer or not. Such a task calls for…
Ultra Efficient Transfer Learning with Meta Update for Cross Subject EEG Classification
Tiehang Duan, Mihir Chauhan, Mohammad Abuzar Shaikh +2
The pattern of Electroencephalogram (EEG) signal differs significantly across different subjects, and poses challenge for EEG classifiers in terms of 1) effectively adapting a lear…
Explanation based Handwriting Verification
Mihir Chauhan, Mohammad Abuzar Shaikh, Sargur N. Srihari
Deep learning system have drawback that their output is not accompanied with ex-planation. In a domain such as forensic handwriting verification it is essential to provideexplanati…
Hybrid Feature Learning for Handwriting Verification
Mohammad Abuzar Shaikh, Seyed Mohammad Abuzar Hashemi, Mihir Chauhan +2
We propose an effective Hybrid Deep Learning (HDL) architecture for the task of determining the probability that a questioned handwritten word has been written by a known writer. H…