347 citations · 579 across the 31 of their papers we have counts for
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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…