Kimin Yun 윤기민

Principal Researcher, ETRI  ·  Associate Professor, UST

At the Visual Intelligence Lab, ETRI, and UST, I work on computer vision and machine learning for national R&D, with an emphasis on practical, real-world applications such as surveillance-camera systems. My current research interests include evaluating the competency of AI models, improving large-scale foundation models, and applying multimodal models to real-world problems.

2026 – Present
Principal Researcher, ETRI · Visual Intelligence Lab
2025 – Present
Associate Professor, UST–ETRI School
2019 – 2026
Senior Researcher, ETRI
2017 – 2019
Researcher, ETRI
2010 – 2017
Ph.D., Electrical & Computer Engineering, Seoul National University (integrated M.S./Ph.D.; advisor Prof. Jin Young Choi)
2006 – 2010
B.S., Electrical & Computer Engineering, Seoul National University (Cum Laude)
CVGoogle ScholarUST (KR)
Kimin Yun

News

2026.03PromotionPromoted to Principal Researcher at ETRI.
2026.03PaperAccepted to ETRI Journal — adversarial robustness recovery via Hopfield-type Neural ODEs.
2026.02PaperAccepted to IEEE Trans. on Multimedia — weakly-supervised video grounding.
2026.01PaperAccepted to ICPR 2026 — incremental object detection.
2026.01PaperPublished in IEEE Access — zero-shot anomaly segmentation.
2025.06AwardOutstanding Reviewer Award, CVPR 2025.
2025.03AppointmentAppointed Associate Professor of AI at UST.

Projects

National R&D · 2014–2024

DeepView

High-performance visual big-data discovery platform for large-scale, real-time video understanding. National R&D Excellence Top 100 (2019, 2021, 2023).

Project page →
National R&D · ongoing

CAML

Self-improving, competency-aware learning — out-of-distribution detection, uncertainty, and open-set recognition for reliable vision systems.

Project page →
실증 성과 · Real-world Impact
Illegal dumping detection
▶

Illegal Dumping Detection

불법 쓰레기 투기 행위 탐지▶ Watch demo
Fallen person detection
▶

Fallen Person Detection

쓰러진 사람 탐지 · 공공 CCTV 실증▶ Watch demo
Banner understanding
▶

Banner Understanding

현수막 이해▶ Watch demo

Group & Students

I advise M.S. and Ph.D. students in Artificial Intelligence at UST, and supervise research interns at ETRI working on computer vision for real-world impact. I'm always looking for motivated students interested in vision, OOD / uncertainty, and surveillance AI. Prospective students are welcome to reach out — kimin.yun (at) etri.re.kr.

Advised Students
'26
Incoming M.S. student
Starting Sept 2026
+
Open position
Recruiting
Alumni · Research Interns
2026
김소정 — Scene text recognition
2025
방민재 · 한주현 — Scene text recognition
2024
송정훈 — Out-of-distribution detection
2024
조재호 — Open-set detection
2023
부원국 — Fallen-person detection
2022
김진아 — Human pose recognition
2022
송길재 — Multi-camera inference framework
2022
오원석 — Person detection on de-identified data
2021
이학진 — Person tracking & re-identification
2020
이건우 — Human-object interaction detection
2019
박건호 — Real-world model evaluation
2018
왕유승 — Skeleton-based action recognition
2018
연지수 — Video object segmentation
2017
김보경 — Action-recognition dataset pipeline

Publications

Journal  Conf.  = peer-reviewed journal / conference

2026
Dynamic Augmentation Strategy Selection for Incremental Object Detection
Yujeong Oh, Taehoon Kim, Mingyu Lee, Kimin Yun†, Jongwon Choi†. International Conference on Pattern Recognition (ICPR), 2026 Conf. · † co-corresponding
Finding Optimal Video Moment without Training: Gaussian Boundary Optimization for Weakly Supervised Video Grounding
Sunoh Kim, Kimin Yun, Daeho Um. IEEE Transactions on Multimedia (SCIE), 2026 Journal
Paper
Zero-Shot Anomaly Segmentation via Query-Level Uncertainty Analysis
Kimin Yun†, Yuseok Bae. IEEE Access (SCIE), 2026 Journal · † corresponding
Paper
Fast Adversarial Robustness Recovery against Model Parameter Exposure through Hopfield-type Neural ODEs
Yu-Hyun Shin*, Kimin Yun*†, Yuseok Bae. ETRI Journal (SCIE), 2026 Journal · * equal · † corresponding
Paper
2025
Multi-Agent Visual Reasoning for Out-of-Distribution Detection in Complex Road Environments
Jeonghyo Song, Kimin Yun, Dae Ung Jo, Jinyoung Kim, Youngjoon Yoo. IEEE Access (SCIE), 2025 Journal
Paper
Reasoning-augmented Vision-Language Models for Improved Competency in Scene Text Recognition
Minjae Bang*, Juhyeon Han*, Yuseok Bae, Sunok Kim†, Kimin Yun†. ICCE-Asia, 2025 Conf. · * equal (ETRI/UST internship) · † corresponding
Paper
Task-Adaptive Open-Set Detection with Prompt-Tuned Adaptors
Kimin Yun, Kangmin Bae, Yuseok Bae. IEEE AVSS, 2025 Conf.
Paper
CoT-Segmenter: Enhancing OOD Detection in Dense Road Scenes via Chain-of-Thought Reasoning
Jeonghyo Song, Kimin Yun, DaeUng Jo, Jinyoung Kim, Youngjoon Yoo. IEEE AVSS, 2025 Conf.
arXiv
Distributional Uncertainty for Out-of-Distribution Detection
JinYoung Kim, DaeUng Jo, Kimin Yun, Jeonghyo Song, Youngjoon Yoo. IEEE AVSS, 2025 Conf.
arXiv
2024
Task-Specific Adaptation of Segmentation Foundation Model via Prompt Learning
Hyung-Il Kim*, Kimin Yun*, Jun-Seok Yun, Yuseok Bae. ECCV Workshop on OOD Generalization (ECCVW), 2024 Conf. · * equal
arXiv
Training-Free OOD Object Detection Leveraging Pre-Trained Segmentation Model Competency
Kimin Yun*, Jeonghoon Song*, Yuseok Bae. ICTC, 2024 Conf. · * equal
Paper
2023
Background memory-assisted zero-shot video object segmentation for unmanned aerial and ground vehicles
Kimin Yun, Hyung-Il Kim, Kangmin Bae, Jinyoung Moon. ETRI Journal (SCIE), 2023 Journal
Paper / Code
2022
Face Shape-Guided Deep Feature Alignment for Face Recognition Robust to Face Misalignment
Hyung-Il Kim, Kimin Yun, Yong Man Ro. IEEE Trans. on Biometrics, Behavior, and Identity Science (TBIOM), 2022 Journal
arXiv / Bibtex
SWAG-Net: Semantic Word-Aware Graph Network for Temporal Video Grounding
Sunoh Kim, Taegil Ha, Kimin Yun, Jin Young Choi. ACM CIKM, 2022 Conf.
Paper
Localization Uncertainty Estimation for Anchor-Free Object Detection
Youngwan Lee, Joong-won Hwang, Hyung-Il Kim, Kimin Yun, Yongjin Kwon, Yuseok Bae, Sung Ju Hwang. ECCV Workshop on Uncertainty Quantification (ECCVW), 2022 Conf.
arXiv
Occluded Pedestrian-Attribute Recognition for Video Sensors Using Group Sparsity
Geonu Lee, Kimin Yun, Jungchan Cho. Sensors (SCIE), 2022 Journal
arXiv
2021
Gating Mechanism in Deep Neural Networks for Resource-Efficient Continual Learning
Hyundong Jin, Kimin Yun, Eunwoo Kim. IEEE Access (SCIE), 2021 Journal
Paper
Diverse Temporal Aggregation and Depthwise Spatiotemporal Factorization for Efficient Video Classification
Youngwan Lee, Hyung-Il Kim, Kimin Yun, Jinyoung Moon. IEEE Access (SCIE), 2021 Journal
arXiv
Improved Human-Object Interaction Detection through On-the-Fly Stacked Generalization
Geonu Lee, Kimin Yun, Jungchan Cho. IEEE Access (SCIE), 2021 Journal
Paper
The Dataset and Baseline Models to Detect Human Postural States Robustly against Irregular Postures
Kangmin Bae*, Kimin Yun*, Jungchan Cho, Yuseok Bae. IEEE AVSS, 2021 Conf. · * equal
Paper
Position-aware Location Regression Network for Temporal Video Grounding
Sunoh Kim, Kimin Yun, Jin Young Choi. IEEE AVSS, 2021 Conf.
arXiv / GitHub
2020
Robust Human Pose Estimation for Rotation via Self-Supervised Learning
Kimin Yun, Jongyoul Park, Jungchan Cho. IEEE Access (SCIE), 2020 Journal
Paper
Unsupervised Moving Object Detection through Background Models for PTZ Camera
Kimin Yun, Hyung-Il Kim, Kangmin Bae, Jongyoul Park. ICPR, 2020 Conf.
Paper / Slide
Anti-Litter Surveillance based on Person Understanding via Multi-task Learning
Kangmin Bae*, Kimin Yun*, Hyung-Il Kim, Youngwan Lee, Jongyoul Park. BMVC, 2020 Conf. · * equal
Paper
2019
Vision-based Garbage Dumping Action Detection for Real-World Surveillance Platform
Kimin Yun, Yongjin Kwon, Sungchan Oh, Jinyoung Moon, Jongyoul Park. ETRI Journal (SCIE), 2019 Journal · Best Paper Award
Paper
Skeleton-based Action Recognition of People Handling Objects
Sunoh Kim, Kimin Yun, Jongyoul Park, Jin Young Choi. IEEE WACV, 2019 Conf.
arXiv
2018
Action-Driven Visual Object Tracking with Deep Reinforcement Learning
Sangdoo Yun, Jongwon Choi, Youngjoon Yoo, Kimin Yun, Jin Young Choi. IEEE TNNLS (SCIE), 2018 Journal
Paper
Behavior Recognition of a Person in a Daily Video Using Joint Position Information
Jeong-Min Seo, Haanju Yoo, Kimin Yun, Hyunil Kim, Sang-Il Choi. IEEE ICAIC Workshop, 2018 Conf.
Paper
2017
Action-Decision Network for Visual Tracking with Deep Reinforcement Learning
Sangdoo Yun, Jongwon Choi, Youngjoon Yoo, Kimin Yun, Jin Young Choi. CVPR, 2017 Conf.
Paper
Scene Conditional Background Update for Moving Object Detection in a Moving Camera
Kimin Yun, Jongin Lim, Jin Young Choi. Pattern Recognition Letters (SCIE), 2017 Journal
Paper / Video / Binary
Motion Interaction Field for Detection of Abnormal Interactions
Kimin Yun, Youngjoon Yoo, Jin Young Choi. Machine Vision and Applications (SCIE), 2017 Journal
Paper / Video
Appearance and Motion based Deep Learning Architecture for Moving Object Detection in Moving Camera
Byeongho Heo, Kimin Yun, Jin Young Choi. IEEE ICIP, 2017 Conf.
Paper
ICPRS
Situation-aware Framework for Moving Object Detection in Moving Cameras
Kimin Yun, Jongin Lim, Jin Young Choi. Int'l Conf. on Pattern Recognition Systems (ICPRS), 2017 Conf.
2016
Visual Path Prediction in Complex Scenes with Crowded Moving Objects
Youngjoon Yoo, Kimin Yun, Sangdoo Yun, Jonghee Hong, Hawook Jeong, Jin Young Choi. CVPR, 2016 Conf.
Paper
Attention-Inspired Moving Object Detection in Monocular Dashcam Videos
Kimin Yun, Jongin Lim, Sangdoo Yun, Soo Wan Kim, Jin Young Choi. ICPR, 2016 Conf.
Paper
Density-Aware Pedestrian Proposal Networks for Robust People Detection in Crowded Scenes
Sangdoo Yun, Kimin Yun, Jongwon Choi, Jin Young Choi. ECCV Workshop on Crowd Understanding, 2016 Conf.
Paper
2015
ICCV-W
The Visual Object Tracking VOT2015 Challenge Results
M. Kristan, et al. (incl. Kimin Yun). ICCV Workshop (VOT2015), 2015 Conf.
Robust and Fast Moving Object Detection in a Non-Stationary Camera via Foreground Probability based Sampling
Kimin Yun, Jin Young Choi. IEEE ICIP, 2015 Conf.
Paper
Robust Pan-Tilt-Zoom Tracking via Optimization Combining Motion Features and Appearance Correlations
ByeongJu Lee, Kimin Yun, Jongwon Choi, Jin Young Choi. IEEE AVSS, 2015 Conf.
Paper
Gradient Preserving RGB-to-Gray Conversion using Random Forest
ByeongJu Lee, Jongwon Choi, Kimin Yun, Jin Young Choi. IEEE ICIP, 2015 Conf.
Paper
2014
Spatio-temporal weighting in local patches for direct estimation of camera motion in video stabilization
Soo Wan Kim, Shimin Yin, Kimin Yun, Jin Young Choi. Computer Vision and Image Understanding (SCIE), 2014 Journal
Paper
Motion Interaction Field for Accident Detection in Traffic Surveillance Video
Kimin Yun, Hawook Jeong, Kwang Moo Yi, Soo Wan Kim, Jin Young Choi. ICPR, 2014 Conf.
Paper
Visual Surveillance Briefing System: Event-based Video Retrieval and Summarization
Sangdoo Yun, Kimin Yun, Soo Wan Kim, Youngjoon Yoo, Jiyeoup Jeong. IEEE AVSS, 2014 Conf.
Paper
Learning with Adaptive Rate for Online Detection of Unusual Appearance
Kimin Yun, Jiyun Kim, Soo Wan Kim, Hawook Jeong, Jin Young Choi. ISVC, 2014 Conf.
Paper
Proximity Clustering for Revealing a Semantically Dominant Class
Tushar Sandhan, Kimin Yun, Jin Young Choi. ISVC, 2014 Conf.
Paper
2013
Detection of Moving Objects with Non-Stationary Cameras in 5.8ms: Bringing Motion Detection to your Mobile Device
Kwang Moo Yi, Kimin Yun, Soo Wan Kim, Hyung Jin Chang, Hawook Jeong, Jin Young Choi. CVPR Workshop on Mobile Vision, 2013 Conf. · Best Paper Award
Paper / GitHub / Video
Detection of moving objects with a moving camera using non-panoramic background model
Soo Wan Kim, Kimin Yun, Kwang Moo Yi, Sun Jung Kim, Jin Young Choi. Machine Vision and Applications (SCIE), 2013 Journal
Paper
2011
Probabilistic Approach with Three Hierarchies of Motion Estimation for Video Stabilization
Kimin Yun, Soo Wan Kim, Jin Young Choi. IEEE DICTA, 2011 Conf.
Paper

Patents

Granted  Pending

2025
Method and apparatus for feature transforming and processing based on artificial neural network
US Patent US12374094B2 · 2025 Granted
System and method for training deep learning networks resistant to adversarial attacks
US Patent US20250181707A1 · 2025 Pending
Apparatus and method for recognizing image and prompt tuning method related to the same
US Patent US20250104383A1 · 2025 Pending
2024
Object recognition apparatus and method based on environment matching
US Patent US12142028B2 · 2024 Granted
Method and apparatus for face recognition robust to alignment status of the face
US Patent US12056909B2 · 2024 Granted
Apparatus and method for online action detection
US Patent US11935296B2 · 2024 Granted
2023
Method and apparatus for performing multi-task learning based on task similarity
US Patent US20230059462A1 · 2023 Pending
2022
Electronic device, action instance generation method, and recording medium
US Patent US11527067B2 · 2022 Granted
Domain adaptation-based object recognition apparatus and method
US Patent US11380133B2 · 2022 Granted
2020
System and method for detecting dynamic object
US Patent US10789470B2 · 2020 Granted
2019
Apparatus and method for detecting foreground in image
US Patent US10311579B2 · 2019 Granted
2016
Apparatus and method for detecting object using PTZ camera
US Patent US9418320B2 · 2016 Granted

Domestic Publications · 국내

Korean-language journal & conference papers, mostly co-authored with research interns.

국내 학술지 · Domestic Journals
AI 파운데이션 모델 중심 인공지능 연구 동향의 변화
황중원, 윤기민, 한동현, 배유석. 전자통신동향분석 (ETRI Trends), v.40(6), 2025
Adaptive Network Compression using Block Removal and Recycling Mechanisms
Kimin Yun, Jongwon Choi. TECHART: Journal of Arts and Imaging Science, v.8(4), 2021
국내 학회 · Domestic Conferences
한국어 장면 텍스트 인식에서 VLM의 시각적 역량 및 강건성 분석
김소정, 배유석, 윤기민. 지능정보 및 제어 학술대회 (IICC), 2026
VLM의 한국어 장면 텍스트 이해를 위한 학습 데이터 구성과 CoT 추론 효과 분석
한주현, 방민재, 배유석, 윤기민. 인공지능 신호처리 학술대회, 2025
분포 외 객체 특성을 고려한 도로 상황에서의 비정상 객체 탐지
송정훈, 윤기민, 배유석. 인공지능 신호처리 학술대회, 2024
자기지도 학습과 데이터 선별 전략을 통한 오픈-셋 탐지기의 Fine-tuning
조재호, 배유석, 천용석, 윤기민. 한국컴퓨터종합학술대회 (KCC), 2024
멀티태스크 학습을 활용한 실세계 쓰러진 사람 탐지 기술 개발
부원국, 배강민, 윤기민, 배유석. 대한전자공학회 하계학술대회, 2023
다중 카메라 입력 인식 모델을 위한 배치 추론 및 이벤트 알람 전송 프레임워크
송길재, 김진아, 배강민, 윤기민, 배유석. 한국컴퓨터종합학술대회 (KCC), 2022
사람 자세상태 인식 향상을 위한 다중 작업 학습용 백본 모델 및 데이터셋 조합 연구
김진아, 송길재, 배강민, 윤기민, 배유석. 한국컴퓨터종합학술대회 (KCC), 2022
동적 카메라 동적 물체 탐지를 위한 세밀 배경 학습법
윤기민, 박종열. 영상 처리 및 이해에 관한 워크샵 (IPIU), 2019
행동 이해용 학습데이터 생성을 위한 어노테이션 도구 개발
서정민, 유한주, 최상일, 윤기민. 한국통신학회 하계종합학술대회, 2018
외형 및 움직임 정보를 활용한 딥러닝 기반의 동적 카메라 동적 물체 탐지 기술
허병호, 윤기민, 정지엽, 최진영. 영상 처리 및 이해에 관한 워크샵 (IPIU), 2017
가우시안 프로세스 회기 함수를 이용한 환경변화에 강인한 군중밀도 감지 알고리즘 개발
정지엽, 최종원, 이병주, 윤기민, 최진영. 영상 처리 및 이해에 관한 워크샵 (IPIU), 2015
움직임 상호 작용 모델을 통한 군중 폭력 상황 감지
윤기민, 윤상두, 최진영. 대한전자공학회 하계종합학술대회, 2015
실시간 자동 감시를 위한 비정상 이벤트 검출 통합 플랫폼
윤기민, 유영준, 김지윤, 최진영. 전자정보통신 학술대회 (CEIC), 2013
감시 영상의 사후 분석을 위한 이벤트 요약 및 분석 애니메이션 기술
윤기민, 김수완, 윤상두, 김지윤, 최진영. 대한전자공학회 정기총회 및 추계학술대회, 2012
국부움직임의 확률적 정의를 통한 계층적인 영상안정화 기술
윤기민, 김수완, 최진영. 영상 처리 및 이해에 관한 워크샵 (IPIU), 2012
광역 가중 LKT 방법을 이용한 비디오 안정화 기법
김수완, 윤석민, 윤기민, 최진영. 정보 및 제어 학술대회 (CICS), 2011
적분 투영 이미지와 쏠림 현상 지표를 이용한 안정적인 비디오 안정화 기술
윤기민, 김수완, 최진영. 대한전자공학회 정기총회 및 추계학술대회, 2010
비디오 안정화를 위한 Bit-plane 상에서의 강인한 국소 패치 매칭 기법
김수완, 윤기민, 이현진, 최진영. 대한전자공학회 하계종합학술대회, 2010

Awards & Honors

Invited Talks

공공 및 사회 문제 해결을 위한 AI — ETRI 시각지능연구실의 연구와 사례 소개
가천대학교 인공지능학과 〈AI신기술특론〉 · 2026
공공 및 사회 문제 해결을 위한 AI
충남대학교 영재원 · 2026

Academic Service

Conference Reviewer  —  CVPR, ICCV, NeurIPS, WACV, BMVC

Journal Reviewer  —  IEEE TPAMI, IEEE TNNLS, IEEE TIP, IEEE TVT, IEEE TMM, IEEE T-ITS, IEEE Access

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