AI, 속마음을 읽다
Chosun (조선일보) · Jul 2023
JunGyu Lee
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Yonsei University, Department of Artificial Intelligence
M.S. in AI Robotics, KIST School (UST)
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Yonsei University, Department of Artificial Intelligence
M.S. in AI Robotics, KIST School (UST)
I am a Ph.D. student at the Graduate School of Artificial Intelligence, Yonsei University, advised by Prof. Hae-Gon Jeon. My research interests include Trajectory Prediction, Crowd Generation, and World Models. My goal is to develop human-centric AI solutions that address complex societal challenges and create meaningful real-world impact.
(Under review) NeurIPS 2026 Conference on Neural Information Processing Systems (NeurIPS), 2026
MICCAI 2026 Proceedings of the International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2026
MICCAIW 2026 Proceedings of the International Conference on Medical Image Computing and Computer-Assisted Intervention Workshop (MICCAIW), 2026
CVPRW 2025 Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshop (CVPRW), 2025
IEIE 2024 Summer Annual Conference of IEIE, 2024
Distilling Temporal Coherence into 2D Networks for TRUS Prostate Video Segmentation (MICCAI 2026)
Revisiting Numerical Forecasting Models for Language-Based Human Trajectory Prediction (Under review · NeurIPS 2026)
Geometry-Aware Pediatric Skull CT Reconstruction via Differentiable Back-Projection (MICCAIW 2026)
Navigating Label Ambiguity for Facial Expression Recognition in the Wild (AAAI 2025)
Video-based Noise-aware Adaptive Weighting for FER (CVPRW 2025)
PyQt-based app for facial expression recognition from images, videos, or real-time webcam. Supports multi-face detection and softmax probability visualization.
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. Real-time video interface and visual affect mapping.
Real-time eye blink detection for behavioral analysis and human state monitoring. Optimized for embedded systems and anxiety estimation pipelines.
Lightweight face detector for real-time webcam input. Based on SSD and RetinaFace, tuned for single-person detection scenarios.
Master of Engineering, AI Robotics
Korea Institute of Science and Technology (KIST) School
Advisor: Prof. Gi Pyo Nam
Bachelor's degree, Big Data Analytics
8th ABAW Competition @ CVPR Workshop
KIST Convergence Conference, Korea Institute of Science and Technology (KIST)
AI-Robotics Research Division, Korea Institute of Science and Technology (KIST)
Engineering Research Park (공학원), Yonsei University, Seoul