Search Results for author: Hwalsuk Lee

Found 12 papers, 10 papers with code

Open Ko-LLM Leaderboard: Evaluating Large Language Models in Korean with Ko-H5 Benchmark

no code implementations31 May 2024 Chanjun Park, Hyeonwoo Kim, Dahyun Kim, Seonghwan Cho, Sanghoon Kim, Sukyung Lee, Yungi Kim, Hwalsuk Lee

This paper introduces the Open Ko-LLM Leaderboard and the Ko-H5 Benchmark as vital tools for evaluating Large Language Models (LLMs) in Korean.


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

Few-shot Compositional Font Generation with Dual Memory

3 code implementations ECCV 2020 Junbum Cha, Sanghyuk Chun, Gayoung Lee, Bado Lee, Seonghyeon Kim, Hwalsuk Lee

By utilizing the compositionality of compositional scripts, we propose a novel font generation framework, named Dual Memory-augmented Font Generation Network (DM-Font), which enables us to generate a high-quality font library with only a few samples.

Font Generation

TedEval: A Fair Evaluation Metric for Scene Text Detectors

1 code implementation2 Jul 2019 Chae Young Lee, Youngmin Baek, Hwalsuk Lee

Despite the recent success of scene text detection methods, common evaluation metrics fail to provide a fair and reliable comparison among detectors.

Scene Text Detection Text Detection

Character Region Awareness for Text Detection

18 code implementations CVPR 2019 Youngmin Baek, Bado Lee, Dongyoon Han, Sangdoo Yun, Hwalsuk Lee

Scene text detection methods based on neural networks have emerged recently and have shown promising results.

 Ranked #1 on Scene Text Detection on ICDAR 2013 (Precision metric)

Scene Text Detection Text Detection

Cannot find the paper you are looking for? You can Submit a new open access paper.