activity
20242026
most citedSPRINT: Script-agnostic Structure Recognition in Tables

6 citations · 6 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2026

Tables Decoded: DELTA for Structure, TARQA for Understanding

Jahanvi Rajput, Dhruv Kudale, Saikiran Kasturi +2

Table understanding is a core task in document intelligence, encompassing two key subtasks: table reconstruction and table visual question answering (TabVQA). While recent approach…

cs.LG2026

EMBLEM: Enhancing Multi-script Table Detection through Masking

Dhruv Kudale, Udhay Brahmi, Ganesh Ramakrishnan

Table detection is a core task in document analysis, supporting downstream applications such as information retrieval, document reconstruction, and visual question answering. While…

cs.CV2025★ 6 cited

SPRINT: Script-agnostic Structure Recognition in Tables

Dhruv Kudale, Badri Vishal Kasuba, Venkatapathy Subramanian +2

Table Structure Recognition (TSR) is vital for various downstream tasks like information retrieval, table reconstruction, and document understanding. While most state-of-the-art (S…

cs.CV2025

PLATTER: A Page-Level Handwritten Text Recognition System for Indic Scripts

Badri Vishal Kasuba, Dhruv Kudale, Venkatapathy Subramanian +2

In recent years, the field of Handwritten Text Recognition (HTR) has seen the emergence of various new models, each claiming to perform competitively better than the other in speci…

cs.CV2024

TEXTRON: Weakly Supervised Multilingual Text Detection through Data Programming

Dhruv Kudale, Badri Vishal Kasuba, Venkatapathy Subramanian +2

Several recent deep learning (DL) based techniques perform considerably well on image-based multilingual text detection. However, their performance relies heavily on the availabili…