output
20122026
most citedREFUGE Challenge: A Unified Framework for Evaluating Automated Methods for Glaucoma Assessment from Fundus Photographs

858 citations

Showing 2023Show all

7 papers · 1 filter

cs.CV2023★ 17 cited

Gaussian Mixture Proposals with Pull-Push Learning Scheme to Capture Diverse Events for Weakly Supervised Temporal Video Grounding

Sunoh Kim, Jungchan Cho, Joonsang Yu +2

In the weakly supervised temporal video grounding study, previous methods use predetermined single Gaussian proposals which lack the ability to express diverse events described by…

cs.LG2023★ 20 cited

Exploring the Privacy-Energy Consumption Tradeoff for Split Federated Learning

Joohyung Lee, Mohamed Seif, Jungchan Cho +1

Split Federated Learning (SFL) has recently emerged as a promising distributed learning technology, leveraging the strengths of both federated and split learning. It emphasizes the…

math.AP2023

Trend to equilibrium and diffusion limit for the inertial Kuramoto-Sakaguchi equation

Francis Filbet, Myeongju Kang

In this paper, we study the inertial Kuramoto-Sakaguchi equation for interacting oscillatory systems. On the one hand, we prove the convergence toward corresponding phase-homogeneo…

cs.OS2023★ 12 cited

SWAM: Revisiting Swap and OOMK for Improving Application Responsiveness on Mobile Devices

Geunsik Lim, Donghyun Kang, MyungJoo Ham +1

Existing memory reclamation policies on mobile devices may be no longer valid because they have negative effects on the response time of running applications. In this paper, we pro…

cond-mat.mtrl-sci2023

Control of Impurity Phase Segregation in a PdCrO/CuCrO Heterostructure

Tom Ichibha, Sangmoon Yoon, Jong Mok Ok +3

PdCrO films are synthesized on CuCrO buffer layers on AlO substrates. This synthesis is accompanied by impurity phase segregation, which hampers the synthesis of hi…

cs.CL2023★ 63 cited

GPT-4 can pass the Korean National Licensing Examination for Korean Medicine Doctors

Dongyeop Jang, Tae-Rim Yun, Choong-Yeol Lee +2

Traditional Korean medicine (TKM) emphasizes individualized diagnosis and treatment. This uniqueness makes AI modeling difficult due to limited data and implicit processes. Large l…