Publications

Neural Collapse-Driven, Uncertainty-Aware Framework for Few-Shot Class-Incremental Learning

Sungwon Woo

M.S. Thesis, Sogang University, 2025.

#continual learning #few-shot learning #neural collapse

📄 Paper 🖥️ Slides

Does Prior Data Matter? Exploring Joint Training in the Context of Few-Shot Class-Incremental Learning

Shiwon Kim*, Dongjun Hwang*, Sungwon Woo*, Rita Singh⁺ (co-first author)

Workshop on Continual Learning in Computer Vision (CLVision) at ICCV 2025

#continual learning #few-shot learning #imbalanced learning

📄 Paper 🎥 Video

Relational Self-supervised Distillation with Compact Descriptors for Image Copy Detection

Juntae Kim*, Sungwon Woo*, Jongho Nang⁺ (co-first author)"

IEEE/CVF Winter Conference on Applications of Computer Vision 2025 (WACV25)

#visual copy detection #knowledge distillation #image retrieval

📄 Paper 🎥 Video

Traning-free Uncertainty-guided Logit Adjustment for Few-shot Class-Incremental Learning

Under Double-blind Review. Submitted to Top-tier AI Conference.

#continual learning #few-shot learning #uncertainty sampling