19 citations · 24 across the 4 of their papers we have counts for
4 papers
On Web-based Visual Corpus Construction for Visual Document Understanding
Donghyun Kim, Teakgyu Hong, Moonbin Yim +2
In recent years, research on visual document understanding (VDU) has grown significantly, with a particular emphasis on the development of self-supervised learning methods. However…
HoughCL: Finding Better Positive Pairs in Dense Self-supervised Learning
Yunsung Lee, Teakgyu Hong, Han-Cheol Cho +2
Recently, self-supervised methods show remarkable achievements in image-level representation learning. Nevertheless, their image-level self-supervisions lead the learned representa…
OCR-free Document Understanding Transformer
Geewook Kim, Teakgyu Hong, Moonbin Yim +7
Understanding document images (e.g., invoices) is a core but challenging task since it requires complex functions such as reading text and a holistic understanding of the document.…
BROS: A Pre-trained Language Model Focusing on Text and Layout for Better Key Information Extraction from Documents
Teakgyu Hong, Donghyun Kim, Mingi Ji +3
Key information extraction (KIE) from document images requires understanding the contextual and spatial semantics of texts in two-dimensional (2D) space. Many recent studies try to…