Alumni

Graduate Students

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
– now a Ph.D. Student @ VLLAB


Gyeonghyeon Kim (M.S., 2023)
Research Area: Neural Architecture Search, Computer Vision
Thesis: Temporal Action Segmentation with Alleviating Local Context Fading
– now a Ph.D. Student @ VLLAB


Hyundong Jin (M.S., 2022)
Research Area: Deep Learning, Continual Learning
Thesis: Continual Learning without Negative Interference in a Deep Neural Network
– now a Ph.D. Student @ VLLAB


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


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


Undergraduate Students & Interns