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researcher

Bado Lee

4 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author4

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CV4

identity via Semantic Scholar / OpenAlex

activity
20192021
most citedCharacter Region Awareness for Text Detection

58 citations · 60 across the 3 of their papers we have counts for

collaborators

4 papers

cs.CV2021

Multiple Heads are Better than One: Few-shot Font Generation with Multiple Localized Experts

Song Park, Sanghyuk Chun, Junbum Cha +2

A few-shot font generation (FFG) method has to satisfy two objectives: the generated images should preserve the underlying global structure of the target character and present the…

cs.CV2020

Few-shot Font Generation with Localized Style Representations and Factorization

Song Park, Sanghyuk Chun, Junbum Cha +2

Automatic few-shot font generation is a practical and widely studied problem because manual designs are expensive and sensitive to the expertise of designers. Existing few-shot fon…

cs.CV2020★ 2 cited

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…

cs.CV2019★ 58 cited

Character Region Awareness for Text Detection

Youngmin Baek, Bado Lee, Dongyoon Han +2

Scene text detection methods based on neural networks have emerged recently and have shown promising results. Previous methods trained with rigid word-level bounding boxes exhibit…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.