Tables and figures are usually used to present information in a structured and visual way in
scientific documents. Understanding the tables and figures in scientific documents is …

Tables are probably the most natural way to represent relational data in various media and
formats. They store a large number of valuable facts that could be utilized for question …

Creating high-quality scientific figures can be time-consuming and challenging, even though
sketching ideas on paper is relatively easy. Furthermore, recreating existing figures that are …

Table structure recognition (TSR) aims at extracting tables in images into machine-
understandable formats. Recent methods solve this problem by predicting the adjacency …

Tables are widely used in research and business, which are suitable for human
consumption, but not easily machine-processable, particularly when tables are present in …

For a long time now, datasets containing scientific articles have been crucial to the analysis
and recognition of document images. These document collections have frequently served as …

Table recognition (TR) is one of the research hotspots in pattern recognition, which aims to
extract information from tables in an image. Common table recognition tasks include table …

Table structure recognition (TSR) aims at extracting tables in images into machine-
understandable formats. Current approaches address this issue by either predicting the …

This paper focuses on Information Extraction from Visually Rich Documents, exploring how
deep learning methods are applied in this field. For the purpose of comparing the …

In scientific research and its application, scientific literature analysis is crucial as it allows
researchers to build on the work of others. However, the fast growth of scientific knowledge …