We accelerate vision and learning algorithms

in conjunction with GIST School of Electrical Engineering and Computer Science.

News & Updates

  • November, 2022: We organized visual surveillance workshop in conjunction with IEEE AVSS 2022. [Link]

  • June, 2022: One paper accepted to Elsevier Pattern Recognition Letters (IF 4.757).

  • March, 2022: One paper accepted to Elsevier Applied Soft Computing (IF 8.263).

  • March, 2022: One paper accepted to IEEE T-VT (IF 6.239 / Rank by JCI: Top 8%)

  • March, 2022: Our website has been upgraded with a new theme.

  • February, 2022: Two papers accepted to ICRA 2022.

  • January, 2021: Two papers accepted to Elsevier Information Sciences (IF 8.233 / Rank by JCI: Top 4%).

  • December, 2021: Three papers accepted to IEEE T-ITS (IF 9.551 / Rank by JCI: Top 2%).

  • November, 2021: We organized visual surveillance workshop in conjunction with IEEE AVSS 2021. [Link]

  • September, 2021: One paper accepted to IEEE Robotics and Automation Letters (IF 3.741).

  • August, 2021: One paper accepted to Elsevier Pattern Recognition Letters (IF 3.756).

  • July, 2021: One paper accepted to IROS 2021.

  • July, 2021: One paper accepted to Elsevier Applied Soft Computing (IF 6.725).

  • January, 2021: One paper accepted to ICRA 2021.

  • January, 2021: One paper accepted to IEEE T-NNLS (IF 10.451 / Rank by JCI: Top 2%).

  • December, 2020: Prof. Jeon got Recognition Award from Korea MSIT (Ministry of Science and ICT).

  • December, 2020: One paper accepted to IEEE T-ITS (IF 6.319 / Rank by JCI: Top 4%).

  • November, 2020: Y. Lee got Best Student Paper Award at IEEE IV 2020 (He secured 2nd rank).

  • October, 2020: One paper accepted to Elsevier Information Sciences (IF 5.910 / Rank by JCI: Top 4%).

  • October, 2020: KBS Interview - GIST Autonomous Driving

  • May, 2020: Dong-A Science Interview - Vision + AI for COVID-19 Monitoring

  • April, 2020: Two papers accepted to Elsevier Information Sciences (IF 5.910 / Rank by JCI: Top 4%).

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 and 3️⃣ autonomous driving. 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, 4️⃣ cultural technology has been in the spotlight and we try to contribute to the cultural industry with our ML/CV knowledge (e.g. smart media wall / exhibition hall guide robot) through cooperation with other domain experts.

지스트 머신러닝 비전 연구실1️⃣ 머신 러닝컴퓨터 비전의 모든 알고리즘과 실질 응용을 다룬다. 주 연구 분야로는 2️⃣ 시각 감시3️⃣ 자율 주행 등 고수준의 시각적 인식재구성 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, 4️⃣ 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. 스마트 미디어 월 / 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

  • Autonomous Driving

    • Sensor Fusion (Controller)

    • Self-parking Technology

    • Visual Perception for Self-driving (e.g. Lane Detection / Drivable Region Estimation)

  • Cultural Technology

    • Smart Media Wall

    • Exhibition Hall Guide Robot

MLV-포스터.pdf

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Please feel free to contact our research team.


👨‍🏫 Prof. Moongu Jeon

mgjeon@gist.ac.kr

+82-62-715-2406 / EECS-C3-308

Feel free to ask me about Postdoc positions.

👀

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, 2) M.S. Course, 3) Integrated Course, and 4) Ph.D. Course.

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