activity
20202026
most citedStructured Consistency Loss for semi-supervised semantic segmentation

47 citations · 47 across the 5 of their papers we have counts for

collaborators

5 papers

cs.AI2026

ACE: A Self-Correcting Agentic Canvas Editor for Multi-Slide Presentation Automation

JooYoung Jang, Taegyeong Lee, Jihyeon Park +1

Commercial design platforms increasingly edit documents through large language model (LLM) agents, but two practical problems block reliable deployment: legacy document formats exp…

cs.CL2026

DEO: Training-Free Direct Embedding Optimization for Negation-Aware Retrieval

Taegyeong Lee, Jiwon Park, Seunghyun Hwang +1

Recent advances in Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) have enabled diverse retrieval methods. However, existing retrieval methods often fail to a…

cs.CV2024

Semi-Supervised Domain Adaptation for Wildfire Detection

JooYoung Jang, Youngseo Cha, Jisu Kim +5

Recently, both the frequency and intensity of wildfires have increased worldwide, primarily due to climate change. In this paper, we propose a novel protocol for wildfire detection…

cs.CV2021

MUM : Mix Image Tiles and UnMix Feature Tiles for Semi-Supervised Object Detection

JongMok Kim, Jooyoung Jang, Seunghyeon Seo +3

Many recent semi-supervised learning (SSL) studies build teacher-student architecture and train the student network by the generated supervisory signal from the teacher. Data augme…

cs.CV2020★ 47 cited

Structured Consistency Loss for semi-supervised semantic segmentation

Jongmok Kim, Jooyoung Jang, Hyunwoo Park +1

The consistency loss has played a key role in solving problems in recent studies on semi-supervised learning. Yet extant studies with the consistency loss are limited to its applic…