47 citations · 76 across the 12 of their papers we have counts for
11 papers
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…