47 citations · 81 across the 16 of their papers we have counts for
15 papers
OrienText: Surface Oriented Textual Image Generation
Shubham Singh Paliwal, Arushi Jain, Monika Sharma +2
Textual content in images is crucial in e-commerce sectors, particularly in marketing campaigns, product imaging, advertising, and the entertainment industry. Current text-to-image…
SmartFlow: Robotic Process Automation using LLMs
Arushi Jain, Shubham Paliwal, Monika Sharma +2
Robotic Process Automation (RPA) systems face challenges in handling complex processes and diverse screen layouts that require advanced human-like decision-making capabilities. The…
Multi-Subject Personalization
Arushi Jain, Shubham Paliwal, Monika Sharma +2
Creative story illustration requires a consistent interplay of multiple characters or objects. However, conventional text-to-image models face significant challenges while producin…
CustomText: Customized Textual Image Generation using Diffusion Models
Shubham Paliwal, Arushi Jain, Monika Sharma +2
Textual image generation spans diverse fields like advertising, education, product packaging, social media, information visualization, and branding. Despite recent strides in langu…
An Efficient Anchor-free Universal Lesion Detection in CT-scans
Manu Sheoran, Meghal Dani, Monika Sharma +1
Existing universal lesion detection (ULD) methods utilize compute-intensive anchor-based architectures which rely on predefined anchor boxes, resulting in unsatisfactory detection…
DKMA-ULD: Domain Knowledge augmented Multi-head Attention based Robust Universal Lesion Detection
Manu Sheoran, Meghal Dani, Monika Sharma +1
Incorporating data-specific domain knowledge in deep networks explicitly can provide important cues beneficial for lesion detection and can mitigate the need for diverse heterogene…
TSR-DSAW: Table Structure Recognition via Deep Spatial Association of Words
Arushi Jain, Shubham Paliwal, Monika Sharma +1
Existing methods for Table Structure Recognition (TSR) from camera-captured or scanned documents perform poorly on complex tables consisting of nested rows / columns, multi-line te…
OSSR-PID: One-Shot Symbol Recognition in P&ID Sheets using Path Sampling and GCN
Shubham Paliwal, Monika Sharma, Lovekesh Vig
Piping and Instrumentation Diagrams (P&ID) are ubiquitous in several manufacturing, oil and gas enterprises for representing engineering schematics and equipment layout. There is a…
Digitize-PID: Automatic Digitization of Piping and Instrumentation Diagrams
Shubham Paliwal, Arushi Jain, Monika Sharma +1
Digitization of scanned Piping and Instrumentation diagrams(P&ID), widely used in manufacturing or mechanical industries such as oil and gas over several decades, has become a crit…
TableNet: Deep Learning model for end-to-end Table detection and Tabular data extraction from Scanned Document Images
Shubham Paliwal, Vishwanath D, Rohit Rahul +2
With the widespread use of mobile phones and scanners to photograph and upload documents, the need for extracting the information trapped in unstructured document images such as re…
ChartNet: Visual Reasoning over Statistical Charts using MAC-Networks
Monika Sharma, Shikha Gupta, Arindam Chowdhury +1
Despite the improvements in perception accuracies brought about via deep learning, developing systems combining accurate visual perception with the ability to reason over the visua…
Character Keypoint-based Homography Estimation in Scanned Documents for Efficient Information Extraction
Kushagra Mahajan, Monika Sharma, Lovekesh Vig
Precise homography estimation between multiple images is a pre-requisite for many computer vision applications. One application that is particularly relevant in today's digital era…
Automatic Information Extraction from Piping and Instrumentation Diagrams
Rohit Rahul, Shubham Paliwal, Monika Sharma +1
One of the most common modes of representing engineering schematics are Piping and Instrumentation diagrams (P&IDs) that describe the layout of an engineering process flow along wi…
Learning to Clean: A GAN Perspective
Monika Sharma, Abhishek Verma, Lovekesh Vig
In the big data era, the impetus to digitize the vast reservoirs of data trapped in unstructured scanned documents such as invoices, bank documents and courier receipts has gained…
Deep Reader: Information extraction from Document images via relation extraction and Natural Language
Vishwanath D, Rohit Rahul, Gunjan Sehgal +6
Recent advancements in the area of Computer Vision with state-of-art Neural Networks has given a boost to Optical Character Recognition (OCR) accuracies. However, extracting charac…