92 citations · 163 across the 6 of their papers we have counts for
12 papers
TabAug: Data Driven Augmentation for Enhanced Table Structure Recognition
Umar Khan, Sohaib Zahid, Muhammad Asad Ali +2
Table Structure Recognition is an essential part of end-to-end tabular data extraction in document images. The recent success of deep learning model architectures in computer visio…
Two-stage framework for optic disc localization and glaucoma classification in retinal fundus images using deep learning
Muhammad Naseer Bajwa, Muhammad Imran Malik, Shoaib Ahmed Siddiqui +4
With the advancement of powerful image processing and machine learning techniques, CAD has become ever more prevalent in all fields of medicine including ophthalmology. Since optic…
Table Structure Extraction with Bi-directional Gated Recurrent Unit Networks
Saqib Ali Khan, Syed Muhammad Daniyal Khalid, Muhammad Ali Shahzad +1
Tables present summarized and structured information to the reader, which makes table structure extraction an important part of document understanding applications. However, table…
Do Cross Modal Systems Leverage Semantic Relationships?
Shah Nawaz, Muhammad Kamran Janjua, Ignazio Gallo +3
Current cross-modal retrieval systems are evaluated using R@K measure which does not leverage semantic relationships rather strictly follows the manually marked image text query pa…
An Open-World Extension to Knowledge Graph Completion Models
Haseeb Shah, Johannes Villmow, Adrian Ulges +2
We present a novel extension to embedding-based knowledge graph completion models which enables them to perform open-world link prediction, i.e. to predict facts for entities unsee…
Rethinking Table Recognition using Graph Neural Networks
Shah Rukh Qasim, Hassan Mahmood, Faisal Shafait
Document structure analysis, such as zone segmentation and table recognition, is a complex problem in document processing and is an active area of research. The recent success of d…