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
- 2024: Heayoun Choi, Eunbee Lee
- 2023: Sangmin Kim, Minki Kang, Sangyun Lee, Hayun Lee, SeungHyun Kim
- 2022: Bolim Lee, Suhyun Shin, Younggwang Park, Jonguk Han, Hyunjoon Koo, Jian Son, Sumin Lee
- 2021: Minju Ro, Sehwan Joo, Jaewook Lee, Soyoung Park, Hayun Lee, Gyeongbin Han
- 2020: Yoonhee Kim, Jiho Lee, Kyeonghyeon Kim, Youngmu Byun, Seowon Yoon