ESPRESSO: A Visualization Tool for Labeling Objects in Research PDFs
Nov 25, 2024·
,·
0 min read
Woonghee Lee
Je-hyun Lee
Abstract
Visualization tool that helps researchers label objects (tables, figures, text
regions, etc.) within scientific and research PDF documents on a per-page basis.
Useful for building training and evaluation datasets for downstream analysis
pipelines.
Type
Publication
Software Copyright Registration · Korea Copyright Commission
Authors
Senior Researcher · Principal Investigator
Woonghee Lee leads the DAIS Research Group at the Korea Institute of
Energy Research (KIER). His research applies deep learning to image, signal,
and text data — currently focused on AI methods for energy and materials
research, including time-series and document analysis, robust deep models,
and AI agents for research workflows.