Hyounguk Shon
Scholar

Hyounguk Shon

Google Scholar ID: KZSXUmsAAAAJ
KAIST
Deep LearningComputer Vision
Citations & Impact
All-time
Citations
230
 
H-index
5
 
i10-index
4
 
Publications
12
 
Co-authors
8
list available
Resume (English only)
Academic Achievements
  • WACV: SFLD: Reducing the content bias for AI-generated Image Detection
  • IJCAI Workshop: Neural Vicinal Risk Minimization: Noise-robust Distillation for Noisy Labels
  • AAAI: FRED: Towards a Full Rotation-Equivariance in Aerial Image Object Detection
  • ICCV: Disposable Transfer Learning for Selective Source Task Unlearning
  • ECCV: DLCFT: Deep Linear Continual Fine-Tuning for General Incremental Learning
  • CVPR: Joint Negative and Positive Learning for Noisy Labels
  • NeurIPS: UniCLIP: Unified Framework for Contrastive Language-Image Pre-training
  • ICRA: Lightweight Monocular Depth Estimation via Token-Sharing Transformer
  • ECCV: On the Angular Update and Hyperparameter Tuning of a Scale-Invariant Network
Research Experience
  • Former research intern at LG AI Research, mentored by Dr. Janghyeon Lee.
Education
  • PhD student at KAIST SIIT Lab, supervised by Prof. Junmo Kim and also advised by Prof. Yunho Jeon.
Background
  • Research interests include machine learning, deep learning, and computer vision. Recent works involve continual learning and unlearning, noisy label learning, multi-modal contrastive learning, and scalable hyperparameter search.