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20172025
most citedREFUGE Challenge: A Unified Framework for Evaluating Automated Methods for Glaucoma Assessment from Fundus Photographs

858 citations · 1.1k across the 4 of their papers we have counts for

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5 papers · 1 filter

cs.CV2025

Index-Preserving Lightweight Token Pruning for Efficient Document Understanding in Vision-Language Models

Jaemin Son, Sujin Choi, Inyong Yun

Recent progress in vision-language models (VLMs) has led to impressive results in document understanding tasks, but their high computational demands remain a challenge. To mitigate…

cs.CV20223 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.CV2019858 cited

REFUGE Challenge: A Unified Framework for Evaluating Automated Methods for Glaucoma Assessment from Fundus Photographs

José Ignacio Orlando, Huazhu Fu, João Barbossa Breda +28

Glaucoma is one of the leading causes of irreversible but preventable blindness in working age populations. Color fundus photography (CFP) is the most cost-effective imaging modali…

cs.CV2018

Classification of Findings with Localized Lesions in Fundoscopic Images using a Regionally Guided CNN

Jaemin Son, Woong Bae, Sangkeun Kim +2

Fundoscopic images are often investigated by ophthalmologists to spot abnormal lesions to make diagnoses. Recent successes of convolutional neural networks are confined to diagnose…

cs.CV2017153 cited

Retinal Vessel Segmentation in Fundoscopic Images with Generative Adversarial Networks

Jaemin Son, Sang Jun Park, Kyu-Hwan Jung

Retinal vessel segmentation is an indispensable step for automatic detection of retinal diseases with fundoscopic images. Though many approaches have been proposed, existing method…