Daehyun Nam — accepted AI-conference papers

2022

BROS: A Pre-trained Language Model Focusing on Text and Layout for Better Key Information Extraction from Documents

Teakgyu Hong, DongHyun Kim, Mingi Ji, Wonseok Hwang, Daehyun Nam, Sungrae Park

AAAI 2022technical

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 solve the task by developing pre-trained language models focusing on combining visual features from document images wit…

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2020

Character Region Attention For Text Spotting

Youngmin Baek, Seung Shin, Jeonghun Baek, Sungrae Park, Junyeop Lee, Daehyun Nam +1

ECCV 2020poster

A scene text spotter is composed of text detection and recognition modules. Many studies have been conducted to unify these modules into an end-to-end trainable model to achieve better performance. A typical architecture places detection and recognition modules into separate branches, and a RoI pool…

Cited by 89 Source ↗PDF ↗Scholar ↗