We accelerate vision and learning algorithms.
Welcome to GIST Machine Learning and Vision Laboratory!
News & Updates
Notice
현재 우리가 금전적인 지원을 받아 수행 중인 연구 프로젝트 주제는 다음과 같습니다: 밀도추정 및 군중분석 (NRF) / 국방 위성영상 표적탐지 (ADD) / 객체 추적 및 이상상황 인식 (IITP-딥뷰) / 실내 자율주행 (도서관 안내로봇, MCST) / 수어 인식 및 번역 (MCST) / 대조 학습 및 생성형 AI 원천 기술 연구 (MIT공동연구, 과기부)
⭐ 2023 ⭐
February One project selected to National Research Fund (Y. Kim, 600 million won)
⭐ 2022 ⭐
December One paper accepted to Elsevier Information Fusion (IF 17.564 / Rank by JCI: Top 2%).
One paper accepted to Elsevier Information Sciences (IF 8.233 / Rank by JCI: Top 4%).
November We organized visual surveillance workshop in conjunction with IEEE AVSS 2022. [Link]
One project selected to Agency for Defense Development (Y. Kim, 200 million won)
September One paper accepted to Elsevier Information Sciences (IF 8.233 / Rank by JCI: Top 4%).
June One paper accepted to Elsevier Pattern Recognition Letters (IF 4.757).
March One paper accepted to Elsevier Applied Soft Computing (IF 8.263).
One paper accepted to IEEE T-VT (IF 6.239 / Rank by JCI: Top 8%)
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February Two papers accepted to ICRA 2022.
January Two papers accepted to Elsevier Information Sciences (IF 8.233 / Rank by JCI: Top 4%).
⭐ 2021 ⭐
December Three papers accepted to IEEE T-ITS (IF 9.551 / Rank by JCI: Top 2%).
November We organized visual surveillance workshop in conjunction with IEEE AVSS 2021. [Link]
September One paper accepted to IEEE Robotics and Automation Letters (IF 3.741).
August One paper accepted to Elsevier Pattern Recognition Letters (IF 3.756).
July One paper accepted to IROS 2021.
One paper accepted to Elsevier Applied Soft Computing (IF 6.725).
January One paper accepted to ICRA 2021.
One paper accepted to IEEE T-NNLS (IF 10.451 / Rank by JCI: Top 2%).
Employment Status of Alumni
Research Area
GIST Machine Learning and Vision Laboratory seeks to advance 1️⃣ computer vision and pattern recognition algorithms, particularly in the area of multi-object tracking and 2D / 3D visual perception (e.g. detection / action recognition / density estimation) using traditional algorithmic and recent machine learning approaches. We are interested in applications for real-time 2️⃣ visual surveillance. Besides, to help numerous IT companies use their AI models more efficiently, we also study various technologies such as knowledge distillation, model compression and imbalanced learning etc. Recently, 3️⃣ cultural technology has been in the spotlight and we try to contribute to the cultural industry with our ML/CV knowledge (e.g. exhibition hall guide robot) through cooperation with other domain experts.
지스트 머신러닝 비전 연구실은 1️⃣ 머신 러닝과 컴퓨터 비전의 모든 알고리즘과 실질 응용을 다룬다. 주 연구 분야로는 2️⃣ 시각 감시 등 고수준의 시각적 인식과 재구성 문제를 해결하는 것이다 (e.g. 물체 감지 / 행위 인식 / 밀도 추정). 또한, AI 모델의 효과적인 상용화를 위한 경량화, 불균형 학습 등의 이론 연구도 수행한다. 최근, 3️⃣ 문화 기술에 대한 사회적 관심과 우리 연구실과의 협력을 희망하는 기관이 등장함에 따라, 우리의 ML/CV 지식을 바탕으로 다양한 도메인 전문가와의 문화 기술 연구 협력도 주력하고 있다 (e.g. 전시관 안내 로봇).
Computer Vision & Pattern Recognition
(High-level & Low-level) Image / Video Processing /
Representation Learning
Machine Learning
Model Compression / Knowledge Distillation / Imbalanced Learning
Visual Surveillance
Multi-object Tracking / 2D & 3D Object Detection / Anomaly Detection /
Density Estimation / Action Recognition / Re-identification
Cultural Technology
Exhibition Hall Guide Robot
👋
Please feel free to contact our research team.
👨🏫 Prof. Moongu Jeon
mgjeon@gist.ac.kr
+82-62-715-2406 / EECS-C3-308
👀
We're always looking forward strong and motivated students.
👨🎓 GIST E-mento. Yechan Kim
yechankim@gm.gist.ac.kr
+82-62-715-3254 / EECS-C3-306
Feel free to ask me about
1) Intern (Koeran), 2) M.S. Course (Korean)!
No M.S.-Ph.D. Integrated and Ph.D. courses available.
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