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.AI2019★ 7 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.CV2019★ 9 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.CV2018★ 1 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…