Search Results for author: Seung Shin

Found 6 papers, 2 papers with code

TRACE: Table Reconstruction Aligned to Corner and Edges

no code implementations1 May 2023 Youngmin Baek, Daehyun Nam, Jaeheung Surh, Seung Shin, Seonghyeon Kim

In this work, we analyze the natural characteristics of a table, where a table is composed of cells and each cell is made up of borders consisting of edges.

Table Detection

DEER: Detection-agnostic End-to-End Recognizer for Scene Text Spotting

no code implementations10 Mar 2022 Seonghyeon Kim, Seung Shin, Yoonsik Kim, Han-Cheol Cho, Taeho Kil, Jaeheung Surh, Seunghyun Park, Bado Lee, Youngmin Baek

Since only a single point is required to recognize the text, the proposed method enables text spotting without an arbitrarily-shaped detector or bounding polygon annotations.

Decoder Text Spotting

RewriteNet: Reliable Scene Text Editing with Implicit Decomposition of Text Contents and Styles

no code implementations23 Jul 2021 Junyeop Lee, Yoonsik Kim, Seonghyeon Kim, Moonbin Yim, Seung Shin, Gayoung Lee, Sungrae Park

Scene text editing (STE), which converts a text in a scene image into the desired text while preserving an original style, is a challenging task due to a complex intervention between text and style.

Image Generation Scene Text Editing +1

Character Region Attention For Text Spotting

no code implementations ECCV 2020 Youngmin Baek, Seung Shin, Jeonghun Baek, Sungrae Park, Junyeop Lee, Daehyun Nam, Hwalsuk Lee

This architecture is formed by utilizing detection outputs in the recognizer and propagating the recognition loss through the detection stage.

Decoder Text Detection +1

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