33 citations · 46 across the 9 of their papers we have counts for
9 papers
DRISHTIKON: Visual Grounding at Multiple Granularities in Documents
Badri Vishal Kasuba, Parag Chaudhuri, Ganesh Ramakrishnan
Visual grounding in text-rich document images is a critical yet underexplored challenge for Document Intelligence and Visual Question Answering (VQA) systems. We present DRISHTIKON…
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…
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…
Can AI Assistance Aid in the Grading of Handwritten Answer Sheets?
Pritam Sil, Parag Chaudhuri, Bhaskaran Raman
With recent advancements in artificial intelligence (AI), there has been growing interest in using state of the art (SOTA) AI solutions to provide assistance in grading handwritten…
Cube2Pipes : Investigating Hybrid Gameplay Using AR and a Tangible 3D Puzzle
Sukanya Bhattacharjee, Parag Chaudhuri
We present our game, Cube2Pipes, as an attempt to investigate a unique gameplay design where we use a tangible 3D spatial puzzle, in the form of a 2X2 Rubik's Cube, as an interface…
Character Animation in AR: Character Animation in AR: a mobile application development study
Sukanya Bhattacharjee, Parag Chaudhuri
Digital preservation of the cultural heritages is one of the major applications of various computer graphics and vision algorithms. The advancement in the AR/VR technologies is giv…
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…
Remeshing-Free Graph-Based Finite Element Method for Ductile and Brittle Fracture
Avirup Mandal, Parag Chaudhuri, Subhasis Chaudhuri
Fracture produces new mesh fragments that introduce additional degrees of freedom in the system dynamics. Existing finite element method (FEM) based solutions suffer from an explos…
A Deep Recurrent Framework for Cleaning Motion Capture Data
Utkarsh Mall, G. Roshan Lal, Siddhartha Chaudhuri +1
We present a deep, bidirectional, recurrent framework for cleaning noisy and incomplete motion capture data. It exploits temporal coherence and joint correlations to infer adaptive…