4 citations · 7 across the 5 of their papers we have counts for
5 papers · 1 filter
Analyzing the Efficacy of an LLM-Only Approach for Image-based Document Question Answering
Nidhi Hegde, Sujoy Paul, Gagan Madan +1
Recent document question answering models consist of two key components: the vision encoder, which captures layout and visual elements in images, and a Large Language Model (LLM) t…
Is it an i or an l: Test-time Adaptation of Text Line Recognition Models
Debapriya Tula, Sujoy Paul, Gagan Madan +3
Recognizing text lines from images is a challenging problem, especially for handwritten documents due to large variations in writing styles. While text line recognition models are…
Weakly supervised information extraction from inscrutable handwritten document images
Sujoy Paul, Gagan Madan, Akankshya Mishra +3
State-of-the-art information extraction methods are limited by OCR errors. They work well for printed text in form-like documents, but unstructured, handwritten documents still rem…
Novel Class Discovery without Forgetting
K J Joseph, Sujoy Paul, Gaurav Aggarwal +4
Humans possess an innate ability to identify and differentiate instances that they are not familiar with, by leveraging and adapting the knowledge that they have acquired so far. I…
Unsupervised Adaptation of Semantic Segmentation Models without Source Data
Sujoy Paul, Ansh Khurana, Gaurav Aggarwal
We consider the novel problem of unsupervised domain adaptation of source models, without access to the source data for semantic segmentation. Unsupervised domain adaptation aims t…