activity
20192026
most citedSRG: Snippet Relatedness-based Temporal Action Proposal Generator

29 citations · 52 across the 6 of their papers we have counts for

collaborators

6 papers

cs.AI2026

A.X K2 Technical Report

Cheolseung Baek, Dhammiko Arya, Eunki Kim +40

We introduce A.X K2, a 688B-parameter Mixture-of-Experts (MoE) language model trained from scratch as a high-performance foundation for \emph{agentic} applications. Trained on appr…

cs.CV2025

KRETA: A Benchmark for Korean Reading and Reasoning in Text-Rich VQA Attuned to Diverse Visual Contexts

Taebaek Hwang, Minseo Kim, Gisang Lee +2

Understanding and reasoning over text within visual contexts poses a significant challenge for Vision-Language Models (VLMs), given the complexity and diversity of real-world scena…

cs.CV2021★ 8 cited

Learning to Discriminate Information for Online Action Detection: Analysis and Application

Sumin Lee, Hyunjun Eun, Jinyoung Moon +4

Online action detection, which aims to identify an ongoing action from a streaming video, is an important subject in real-world applications. For this task, previous methods use re…

cs.CV2020★ 12 cited

Single-view 2D CNNs with Fully Automatic Non-nodule Categorization for False Positive Reduction in Pulmonary Nodule Detection

Hyunjun Eun, Daeyeong Kim, Chanho Jung +1

Background and Objective: In pulmonary nodule detection, the first stage, candidate detection, aims to detect suspicious pulmonary nodules. However, detected candidates include man…

cs.CV2019★ 3 cited

Learning to Discriminate Information for Online Action Detection

Hyunjun Eun, Jinyoung Moon, Jongyoul Park +2

From a streaming video, online action detection aims to identify actions in the present. For this task, previous methods use recurrent networks to model the temporal sequence of cu…

cs.CV2019★ 29 cited

SRG: Snippet Relatedness-based Temporal Action Proposal Generator

Hyunjun Eun, Sumin Lee, Jinyoung Moon +3

Recent temporal action proposal generation approaches have suggested integrating segment- and snippet score-based methodologies to produce proposals with high recall and accurate b…