| 2026 | AAAI | PINet: Improving the Stability of Prototype Networks via Phantasia-Inspired Uncertain Representations. | Ho Kyung Shin, Soeun Bae, Sang Min Kim, Byoung Chul Ko, Woo-Jeoung Nam |
| 2026 | ICPR | OSCAR: Optical-Aware Semantic Control for Aleatoric Refinement in Sar-to-Optical Translation. | Hyunseo Lee, Sang Min Kim, Ho Kyung Shin, Taeheon Kim, Woo-Jeoung Nam |
| 2026 | ICPR | IFAgeNet: Identity-Aware Face Aging via Feature Inversion and Age-Conditioned Adaptive Latent Shifts. | Su-Jang Pyeon, Seong Heon Kim, Woo-Jeoung Nam |
| 2026 | SAC | Hierarchical Multi-Instance Learning for pCR Prediction from Pre-NAC Mammography. | Ho Kyung Shin, Soeun Bae, Su-Jang Pyeon, Sang Min Kim, Seong Heon Kim, Woo-Jeoung Nam |
| 2023 | AAAI | Towards Better Visualizing the Decision Basis of Networks via Unfold and Conquer Attribution Guidance. | Jung-Ho Hong, Woo-Jeoung Nam, Kyu-Sung Jeon, Seong-Whan Lee |
| 2023 | ICASSP | Compensatory Debiasing For Gender Imbalances In Language Models. | Tae-Jin Woo, Woo-Jeoung Nam, Yeong-Joon Ju, Seong-Whan Lee |
| 2023 | PAKDD | Enhancing Robustness of Prototype with Attentive Information Guided Alignment in Few-Shot Classification. | Tae-Hyung Kim, Woo-Jeoung Nam, Seong-Whan Lee |
| 2022 | AVSS | SAR Image Denoising in High Dynamic Range with Speckle and Thermal Noise Refinement Modeling. | Ji-Hoon Han, Woo-Jeoung Nam, Seong-Whan Lee |
| 2022 | ICPR | Few-Shot Object Detection with Proposal Balance Refinement. | Sueyeon Kim, Woo-Jeoung Nam, Seong-Whan Lee |
| 2022 | ICPR | Multi-Contextual Predictions with Vision Transformer for Video Anomaly Detection. | Joo-Yeon Lee, Woo-Jeoung Nam, Seong-Whan Lee |
| 2022 | SMC | Learning Temporal Context of Normality for Unsupervised Anomaly Detection in Videos. | Wooyeol Hyun, Woo-Jeoung Nam, Jooyeon Lee, Seong-Whan Lee |
| 2021 | AAAI | Interpreting Deep Neural Networks with Relative Sectional Propagation by Analyzing Comparative Gradients and Hostile Activations. | Woo-Jeoung Nam, Jaesik Choi, Seong-Whan Lee |
| 2020 | AAAI | Relative Attributing Propagation: Interpreting the Comparative Contributions of Individual Units in Deep Neural Networks. | Woo-Jeoung Nam, Shir Gur, Jaesik Choi, Lior Wolf, Seong-Whan Lee |
| 2020 | ICPR | Rotation Invariant Aerial Image Retrieval with Group Convolutional Metric Learning. | Hyunseung Chung, Woo-Jeoung Nam, Seong-Whan Lee |
| 2019 | SMC | A Robust Matching Network for Gradually Estimating Geometric Transformation on Remote Sensing Imagery. | Dong-Geon Kim, Woo-Jeoung Nam, Seong-Whan Lee |