Seokhwan Jang — accepted AI-conference papers

2024

Language, OCR, Form Independent (LOFI) pipeline for Industrial Document Information Extraction

Chang Oh Yoon, Wonbeen Lee, Seokhwan Jang, Kyuwon Choi, Minsung Jung, Daewoo Choi

EMNLP 2024industry

This paper presents LOFI (Language, OCR, Form Independent), a pipeline for Document Information Extraction (DIE) in Low-Resource Language (LRL) business documents. LOFI pipeline solves language, Optical Character Recognition (OCR), and form dependencies through flexible model architecture, a token-l…

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2023

Temporal Interpolation Is All You Need for Dynamic Neural Radiance Fields

Sungheon Park, Minjung Son, Seokhwan Jang, Young Chun Ahn, Ji-Yeon Kim, Nahyup Kang

CVPR 2023highlight

Temporal interpolation often plays a crucial role to learn meaningful representations in dynamic scenes. In this paper, we propose a novel method to train spatiotemporal neural radiance fields of dynamic scenes based on temporal interpolation of feature vectors. Two feature interpolation methods are…

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