6 citations · 12 across the 5 of their papers we have counts for
6 papers
TRACE: Table Reconstruction Aligned to Corner and Edges
Youngmin Baek, Daehyun Nam, Jaeheung Surh +2
A table is an object that captures structured and informative content within a document, and recognizing a table in an image is challenging due to the complexity and variety of tab…
Towards Unified Scene Text Spotting based on Sequence Generation
Taeho Kil, Seonghyeon Kim, Sukmin Seo +2
Sequence generation models have recently made significant progress in unifying various vision tasks. Although some auto-regressive models have demonstrated promising results in end…
DEER: Detection-agnostic End-to-End Recognizer for Scene Text Spotting
Seonghyeon Kim, Seung Shin, Yoonsik Kim +6
Recent end-to-end scene text spotters have achieved great improvement in recognizing arbitrary-shaped text instances. Common approaches for text spotting use region of interest poo…
RewriteNet: Reliable Scene Text Editing with Implicit Decomposition of Text Contents and Styles
Junyeop Lee, Yoonsik Kim, Seonghyeon Kim +4
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 betwe…
Few-shot Compositional Font Generation with Dual Memory
Junbum Cha, Sanghyuk Chun, Gayoung Lee +3
Generating a new font library is a very labor-intensive and time-consuming job for glyph-rich scripts. Despite the remarkable success of existing font generation methods, they have…
On Recognizing Texts of Arbitrary Shapes with 2D Self-Attention
Junyeop Lee, Sungrae Park, Jeonghun Baek +3
Scene text recognition (STR) is the task of recognizing character sequences in natural scenes. While there have been great advances in STR methods, current methods still fail to re…