Alumni

Graduate Students

Jian Son (M.S., 2025)
Research Area: Human Pose Estimation, Multi-Modal Learning
Thesis: 3D Human Pose Estimation with an Anatomical Graph Transformer


Nayoung Ko (M.S., 2025)
Research Area: Continual Learning, Semantic Segmentation
Thesis: MC-Seg: Mitigating Class Confusion in Class-incremental Semantic Segmentation


Hyunjoon Koo (M.S., 2025)
Research Area: Multi-Modal Learning, Video Understanding
Thesis: Dual-Branch Scale Disentanglement for Text-Video Retrieval


Sejun Hong (M.S., 2024)
Research Area: Deep Learning, 3D Vision
Thesis: NeRF-DA: Neural Radiance Fields Deblurring with Active Learning


Sujin Choi (M.S., 2023)
Research Area: Deep Learning, Multi-Task Learning
Thesis: Task-Specific Dynamic Model Compression for Multi-Task Learning


Chanjong Park (M.S., 2023)
Research Area: Deep Learning, Contrastive Learning
Thesis: Self-Supervised Learning with Automatic Data Augmentation for Enhancing Representation


Changseong Kim (M.S., 2023)
Research Area: Deep Learning, Multi-Task Learning
Thesis: Task-specific Gating Mechanism for Heterogeneous Tasks


Gyeonghyeon Kim (M.S., 2023)
Research Area: Neural Architecture Search, Computer Vision
Thesis: Temporal Action Segmentation with Alleviating Local Context Fading


Hyundong Jin (M.S., 2022)
Research Area: Deep Learning, Continual Learning
Thesis: Continual Learning without Negative Interference in a Deep Neural Network


Wonhee Cho (M.S., 2022)
Research Area: Deep Learning, Few-Shot Learning
Thesis: Improving Augmentation Efficiency for Few-Shot Learning


Soyeon Park (M.S., 2022)
Research Area: Deep Learning, Multi-Task Learning
Thesis: Resource-Efficient Multi-Task Deep Learning Using a Multi-Path Network


Undergraduate Students