activity
20172026
most citedCharacter decomposition to resolve class imbalance problem in Hangul OCR

3 citations · 3 across the 5 of their papers we have counts for

collaborators

5 papers

eess.IV2026

Anatomy-Grounded Synthetic Coronary Angiography for Geometry-Informed Multi-View Matching

In Kyu Lee, Sumin Seo, Jaesik Min

Accurate correspondence matching across multiple angiographic views is the prerequisite for 3D coronary reconstruction and interventional guidance. However, the development of robu…

eess.IV2025

Diffusion-Based User-Guided Data Augmentation for Coronary Stenosis Detection

Sumin Seo, In Kyu Lee, Hyun-Woo Kim +2

Coronary stenosis is a major risk factor for ischemic heart events leading to increased mortality, and medical treatments for this condition require meticulous, labor-intensive ana…

cs.CV2022★ 3 cited

Character decomposition to resolve class imbalance problem in Hangul OCR

Geonuk Kim, Jaemin Son, Kanghyu Lee +1

We present a novel approach to OCR(Optical Character Recognition) of Korean character, Hangul. As a phonogram, Hangul can represent 11,172 different characters with only 52 graphem…

cs.LG2021

Meta-Learning with Task-Adaptive Loss Function for Few-Shot Learning

Sungyong Baik, Janghoon Choi, Heewon Kim +3

In few-shot learning scenarios, the challenge is to generalize and perform well on new unseen examples when only very few labeled examples are available for each task. Model-agnost…

cs.CV2017

End-to-end Learning of Image based Lane-Change Decision

Seong-Gyun Jeong, Jiwon Kim, Sujung Kim +1

We propose an image based end-to-end learning framework that helps lane-change decisions for human drivers and autonomous vehicles. The proposed system, Safe Lane-Change Aid Networ…