30 citations · 59 across the 10 of their papers we have counts for
6 papers · 1 filter
Vision-Language Model Based Handwriting Verification
Mihir Chauhan, Abhishek Satbhai, Mohammad Abuzar Hashemi +5
Handwriting Verification is a critical in document forensics. Deep learning based approaches often face skepticism from forensic document examiners due to their lack of explainabil…
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…
LAViTeR: Learning Aligned Visual and Textual Representations Assisted by Image and Caption Generation
Mohammad Abuzar Hashemi, Zhanghexuan Li, Mihir Chauhan +5
Pre-training visual and textual representations from large-scale image-text pairs is becoming a standard approach for many downstream vision-language tasks. The transformer-based m…
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…
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…