Bado Lee

Bado Lee

Seoul National University

H-index: 9

Asia-South Korea

About Bado Lee

Bado Lee, With an exceptional h-index of 9 and a recent h-index of 7 (since 2020), a distinguished researcher at Seoul National University, specializes in the field of Machine Learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

CREPE: Coordinate-Aware End-to-End Document Parser

Visually-Situated Natural Language Understanding with Contrastive Reading Model and Frozen Large Language Models

Cream: Visually-Situated Natural Language Understanding with Contrastive Reading Model and Frozen Large Language Models

Few-shot font generation with weakly supervised localized representations

Deer: Detection-agnostic end-to-end recognizer for scene text spotting

Few-shot font generation with localized style representations and factorization

Multiple heads are better than one: Few-shot font generation with multiple localized experts

Few-shot compositional font generation with dual memory

Bado Lee Information

University

Position

___

Citations(all)

1318

Citations(since 2020)

1270

Cited By

267

hIndex(all)

9

hIndex(since 2020)

7

i10Index(all)

9

i10Index(since 2020)

6

Email

University Profile Page

Seoul National University

Google Scholar

View Google Scholar Profile

Bado Lee Skills & Research Interests

Machine Learning

Top articles of Bado Lee

Title

Journal

Author(s)

Publication Date

CREPE: Coordinate-Aware End-to-End Document Parser

arXiv preprint arXiv:2405.00260

Yamato Okamoto

Youngmin Baek

Geewook Kim

Ryota Nakao

DongHyun Kim

...

2024/5/1

Visually-Situated Natural Language Understanding with Contrastive Reading Model and Frozen Large Language Models

Geewook Kim

Hodong Lee

Daehee Kim

Haeji Jung

Sanghee Park

...

2023/12/1

Cream: Visually-Situated Natural Language Understanding with Contrastive Reading Model and Frozen Large Language Models

arXiv preprint arXiv:2305.15080

Geewook Kim

Hodong Lee

Daehee Kim

Haeji Jung

Sanghee Park

...

2023/5/24

Few-shot font generation with weakly supervised localized representations

IEEE transactions on pattern analysis and machine intelligence

Song Park

Sanghyuk Chun

Junbum Cha

Bado Lee

Hyunjung Shim

2022/8/10

Deer: Detection-agnostic end-to-end recognizer for scene text spotting

arXiv preprint arXiv:2203.05122

Seonghyeon Kim

Seung Shin

Yoonsik Kim

Han-Cheol Cho

Taeho Kil

...

2022/3/10

Few-shot font generation with localized style representations and factorization

AAAI Conference on Artificial Intelligence

Song Park

Sanghyuk Chun

Junbum Cha

Bado Lee

Hyunjung Shim

2021

Multiple heads are better than one: Few-shot font generation with multiple localized experts

International Conference on Computer Vision (ICCV)

Song Park

Sanghyuk Chun

Junbum Cha

Bado Lee

Hyunjung Shim

2021/4/2

Few-shot compositional font generation with dual memory

Junbum Cha

Sanghyuk Chun

Gayoung Lee

Bado Lee

Seonghyeon Kim

...

2020

Toward high-quality few-shot font generation with dual memory

IEEE Conf. Comput. Vis. Pattern Recog. Worksh

Junbum Cha

Sanghyuk Chun

Gayoung Lee

Bado Lee

Seonghyeon Kim

...

2020

See List of Professors in Bado Lee University(Seoul National University)

Co-Authors

H-index: 52
Byoung-Tak Zhang

Byoung-Tak Zhang

Seoul National University

H-index: 42
Nam Ik Cho

Nam Ik Cho

Seoul National University

H-index: 34
Lee Sai Peck

Lee Sai Peck

Universiti Malaya

H-index: 26
Minjoon Seo

Minjoon Seo

KAIST

H-index: 10
Soo-Jin Kim

Soo-Jin Kim

Seoul National University

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