Skip to content
View jungyu0413's full-sized avatar

Block or report jungyu0413

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Maximum 250 characters. Please don't include any personal information such as legal names or email addresses. Markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
jungyu0413/Readme.md

πŸ‘‹ Hi, I'm JunGyu Lee

Ph.D. Student @ Yonsei University Graduate School of Artificial Intelligence
M.S. in AI-Robotics, KIST School (UST)
BS in Big-Data Analytics, Kookmin University

I'm currently researching Trajectory Prediction and Crowd Behavior Modeling.
My work focuses on building human-centered AI systems that understand and predict complex human movements.

Previously, I worked on Facial Expression Recognition, Face Recognition, and real-time vision-based applications during my M.S. program.

I aim to develop AI technologies that genuinely help people and contribute to society through meaningful, human-focused research.


πŸ“Œ Publications

A novel method that addresses both label ambiguity and class imbalance in FER using adaptive weighting and consistency regularization.
πŸ“„ Published at AAAI 2025
πŸ”— Official Code


An extension of NLA into the video domain. V-NAW leverages temporal dynamics and noise-aware sample emphasis for robust video-based FER.
πŸ“„ Published at CVPRW 2025
πŸ”— Official Code


A study on estimating subject anxiety using eye blinking and facial expression recognition on embedded systems.
πŸ“„ Published at IEIE Summer Annual Conference 2024
πŸ”— Official Code


πŸ–₯️ Projects

A PyQt-based app for facial expression recognition from images, videos, or real-time webcam input. Supports multi-face detection, expression classification, and visualizes softmax probability distributions.

Real-time facial expression recognition using softmax-based classification.
Includes face detection, preprocessing, and visualization.

Extension of expression recognition to continuous affect modeling via valence–arousal space.
Includes real-time video interface and visual affect mapping.

Real-time eye blink detection tailored for behavioral analysis and human state monitoring. Optimized for lightweight deployment on embedded systems and suitable for integration into anxiety estimation pipelines.

Lightweight face detector for real-time webcam input.
Based on SSD and RetinaFace; tuned for single-person detection scenarios.


πŸ“ Other projects

More project repositories and demos are available on my GitHub profile.

Feel free to check out the code, raise issues, or collaborate!


πŸ“« Contact

Popular repositories Loading

  1. NLA NLA Public

    Python 4 1

  2. pretrained_MAE_for_fer pretrained_MAE_for_fer Public

    Python 1

  3. Eye_Blink_Detection Eye_Blink_Detection Public

    Eye_Blink_Detection

    Python 1

  4. V-NAW V-NAW Public

    V-NAW

    Python 1

  5. CycleGAN CycleGAN Public

    Jupyter Notebook

  6. Basic_DeepLearning_keras Basic_DeepLearning_keras Public

    Jupyter Notebook