Abhishek Bhandari
PhD Researcher in Computer Science & Engineering
Indian Institute of Technology Jodhpur

I am currently pursuing a PhD in Computer Science & Engineering at Indian Institute of Technology Jodhpur. My research focuses on Natural Language Processing and Computer Vision.

My work involves developing approaches for contextual text error correction for Indic Languages.


Education
  • Indian Institute of Technology Jodhpur
    Indian Institute of Technology Jodhpur
    Computer Science & Engineering
    Ph.D. Student
    2020 - 2026 (expected)
  • University of Hyderabad
    University of Hyderabad
    M.Tech. in Information Technology
    2017 - 2019
  • Government Engineering College Ajmer
    Government Engineering College Ajmer
    B.Tech. in Information Technology
    2012 - 2016
Selected Publications (view all )
TabComp: A Dataset for Visual Table Reading Comprehension

S Gautam, A Bhandari, G Harit

Findings of the Association for Computational Linguistics: NAACL 2025

This paper introduces TabComp, a dataset for visual table reading comprehension. The dataset is designed to advance research in understanding and extracting information from tables in documents.

TabComp: A Dataset for Visual Table Reading Comprehension

S Gautam, A Bhandari, G Harit

Findings of the Association for Computational Linguistics: NAACL 2025

This paper introduces TabComp, a dataset for visual table reading comprehension. The dataset is designed to advance research in understanding and extracting information from tables in documents.

Reversible data hiding using multi-layer perceptron based pixel prediction

A Bhandari, S Sharma, R Uyyala, R Pal, M Verma

Proceedings of the 11th International Conference on Advances in Information Technology 2020

This paper presents a novel approach for reversible data hiding using multi-layer perceptron for pixel prediction. Reversible data hiding is a technique that allows the original cover media to be perfectly restored after the hidden data has been extracted.

Reversible data hiding using multi-layer perceptron based pixel prediction

A Bhandari, S Sharma, R Uyyala, R Pal, M Verma

Proceedings of the 11th International Conference on Advances in Information Technology 2020

This paper presents a novel approach for reversible data hiding using multi-layer perceptron for pixel prediction. Reversible data hiding is a technique that allows the original cover media to be perfectly restored after the hidden data has been extracted.

All publications