activity
20182020
most citedAutomatic Information Extraction from Piping and Instrumentation Diagrams

9 citations · 17 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CV2020

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…

cs.AI20197 cited

One-shot Information Extraction from Document Images using Neuro-Deductive Program Synthesis

Vishal Sunder, Ashwin Srinivasan, Lovekesh Vig +2

Our interest in this paper is in meeting a rapidly growing industrial demand for information extraction from images of documents such as invoices, bills, receipts etc. In practice…

cs.CV20199 cited

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…

cs.CV20181 cited

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…

cs.CV2018

Reading Industrial Inspection Sheets by Inferring Visual Relations

Rohit Rahul, Arindam Chowdhury, Animesh +2

The traditional mode of recording faults in heavy factory equipment has been via hand marked inspection sheets, wherein a machine engineer manually marks the faulty machine regions…