57 citations · 109 across the 16 of their papers we have counts for
19 papers
Reading Beyond OCR Noise: Robust Cross-Lingual RAG for Legislative Archives
Radha Krishna Deshpande, Ajoy Mondal, Akash Manna +1
India's historical public archives present severe computer vision and document image analysis challenges: decades of parliamentary records survive only as degraded, multi-column sc…
HW-MLVQA: Elucidating Multilingual Handwritten Document Understanding with a Comprehensive VQA Benchmark
Aniket Pal, Ajoy Mondal, Minesh Mathew +1
The proliferation of MultiLingual Visual Question Answering (MLVQA) benchmarks augments the capabilities of large language models (LLMs) and multi-modal LLMs, thereby enabling them…
AI-Generated Lecture Slides for Improving Slide Element Detection and Retrieval
Suyash Maniyar, Vishvesh Trivedi, Ajoy Mondal +2
Lecture slide element detection and retrieval are key problems in slide understanding. Training effective models for these tasks often depends on extensive manual annotation. Howev…
Advancing Question Answering on Handwritten Documents: A State-of-the-Art Recognition-Based Model for HW-SQuAD
Aniket Pal, Ajoy Mondal, C. V. Jawahar
Question-answering handwritten documents is a challenging task with numerous real-world applications. This paper proposes a novel recognition-based approach that improves upon the…
IndicSTR12: A Dataset for Indic Scene Text Recognition
Harsh Lunia, Ajoy Mondal, C V Jawahar
The importance of Scene Text Recognition (STR) in today's increasingly digital world cannot be overstated. Given the significance of STR, data intensive deep learning approaches th…
Towards Robust Handwritten Text Recognition with On-the-fly User Participation
Ajoy Mondal, Rohit saluja, C. V. Jawahar
Long-term OCR services aim to provide high-quality output to their users at competitive costs. It is essential to upgrade the models because of the complex data loaded by the users…
Enhancing Indic Handwritten Text Recognition Using Global Semantic Information
Ajoy Mondal, C. V. Jawahar
Handwritten Text Recognition (HTR) is more interesting and challenging than printed text due to uneven variations in the handwriting style of the writers, content, and time. HTR be…
Towards Deployable OCR models for Indic languages
Minesh Mathew, Ajoy Mondal, CV Jawahar
Recognition of text on word or line images, without the need for sub-word segmentation has become the mainstream of research and development of text recognition for Indian language…
Classroom Slide Narration System
Jobin K. V., Ajoy Mondal, C. V. Jawahar
Slide presentations are an effective and efficient tool used by the teaching community for classroom communication. However, this teaching model can be challenging for blind and vi…
New Performance Measures for Object Tracking under Complex Environments
Ajoy Mondal
Various performance measures based on the ground truth and without ground truth exist to evaluate the quality of a developed tracking algorithm. The existing popular measures - ave…
Visual Understanding of Complex Table Structures from Document Images
Sachin Raja, Ajoy Mondal, C V Jawahar
Table structure recognition is necessary for a comprehensive understanding of documents. Tables in unstructured business documents are tough to parse due to the high diversity of l…
Deep Neural Networks for Automatic Grain-matrix Segmentation in Plane and Cross-polarized Sandstone Photomicrographs
Rajdeep Das, Ajoy Mondal, Tapan Chakraborty +1
Grain segmentation of sandstone that is partitioning the grain from its surrounding matrix/cement in the thin section is the primary step for computer-aided mineral identification…
Camouflaged Object Detection and Tracking: A Survey
Ajoy Mondal
Moving object detection and tracking have various applications, including surveillance, anomaly detection, vehicle navigation, etc. The literature on object detection and tracking…
Table Structure Recognition using Top-Down and Bottom-Up Cues
Sachin Raja, Ajoy Mondal, C. V. Jawahar
Tables are information-rich structured objects in document images. While significant work has been done in localizing tables as graphic objects in document images, only limited att…
Graphical Object Detection in Document Images
Ranajit Saha, Ajoy Mondal, C. V. Jawahar
Graphical elements: particularly tables and figures contain a visual summary of the most valuable information contained in a document. Therefore, localization of such graphical obj…
CDeC-Net: Composite Deformable Cascade Network for Table Detection in Document Images
Madhav Agarwal, Ajoy Mondal, C. V. Jawahar
Localizing page elements/objects such as tables, figures, equations, etc. is the primary step in extracting information from document images. We propose a novel end-to-end trainabl…
Textual Description for Mathematical Equations
Ajoy Mondal, C. V. Jawahar
Reading of mathematical expression or equation in the document images is very challenging due to the large variability of mathematical symbols and expressions. In this paper, we po…
IIIT-AR-13K: A New Dataset for Graphical Object Detection in Documents
Ajoy Mondal, Peter Lipps, C. V. Jawahar
We introduce a new dataset for graphical object detection in business documents, more specifically annual reports. This dataset, IIIT-AR-13k, is created by manually annotating the…
State-of-The-Art Fuzzy Active Contour Models for Image Segmentation
Ajoy Mondal, Kuntal Ghosh
Image segmentation is the initial step for every image analysis task. A large variety of segmentation algorithm has been proposed in the literature during several decades with some…