Conference

Ho Kyung Shin, Soeun Bae, Sang Min Kim, Byoung Chul Ko, Woo-Jeoung Nam, "PINet: Improving the Stability of Prototype Networks via Phantasia-Inspired Uncertain Representations",  Proceedings of the AAAI Conference on Artificial Intelligence (AAAI) 2026, Accepted

Tae-Jin Woo, Woo-Jeoung Nam, Yeong-Joon Ju, Seong-Whan Lee, "Compensatory Debiasing for Gender Imbalances in Language Models", IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP, Oral) 2023

Taehyung Kim, Woo-Jeoung Nam, Seong-Whan Lee, "Enhancing Robustness of Prototype with Attentive Information Guided Alignment in Few-Shot Classification", The 26th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD) 2023

Jung-Ho Hong†, Woo-Jeoung Nam†, Kyu-Sung Jeon, and Seong-Whan Lee, "Towards Better Visualizing the Decision Basis of Networks via Unfold and Conquer Attribution Guidance", Proceedings of the AAAI Conference on Artificial Intelligence (AAAI) 2023 (†Co-first author).

Ji-Hoon Han, Woo-Jeoung Nam, and Seong-Whan Lee, "SAR Image Denoising in High Dynamic Range with Speckle and Thermal Noise Refinement Modeling", International Conference on Advanced Video and Signal-Based Surveillance (AVSS) 2022

Joo-Yeon Lee, Woo-Jeoung Nam, and Seong-Whan Lee, "Multi-contextual Predictions with Vision Transformer for Video Anomaly Detection", International Conference on Pattern Recognition (ICPR) 2022

Sueyeon Kim, Woo-Jeoung Nam, and Seong-Whan Lee, "Few-Shot Object Detection with Proposal Balance Refinement", International Conference on Pattern Recognition (ICPR) 2022

Wooyeol Hyun, Woo-Jeoung Nam, and Seong-Whan Lee, "Learning Temporal Context of Normality for Unsupervised Anomaly Detection in Videos", IEEE International Conference on Systems, Man and Cybernetics (SMC) 2022.

Woo-Jeoung Nam, Jaesik Choi, and Seong-Whan Lee, "Interpreting Deep Neural Networks with Relative Sectional Propagation by Analyzing Comparative Gradients and Hostile Activations", Proceedings of the AAAI Conference on Artificial Intelligence (AAAI) 2021.

Hyunseung Chung, Woo-Jeoung Nam, and Seong-Whan Lee, “Rotation Invariant Aerial Image Retrieval with Group Convolutional Metric Learning”, International Conference on Pattern Recognition (ICPR) 2020.

Woo-Jeoung Nam, Shir Gur, Jaesik Choi, Lior Wolf, and Seong-Whan Lee, "Relative attributing propagation: Interpreting the comparative contributions of individual units in deep neural networks", Proceedings of the AAAI Conference on Artificial Intelligence (AAAI) 2020.

Dong-Geon Kim, Woo-Jeoung Nam, and Seong-Whan Lee, "A robust matching network for gradually estimating geometric transformation on remote sensing imagery", IEEE International Conference on Systems, Man and Cybernetics (SMC) 2019.

Sang Min Kim, So Eun Bae, Ho Kyung Shin, SuJang Pyeon, Seong Heon Kim, and  Woo-Jeoung Nam, “A Diagnostic Framework for Adnexal Torsion Using CT-Based Adaptive Preprocessing and Deep Neural Networks”, AI Signal Processing, 2025.

SuJang Pyeon, Sang Min Kim, Seong Heon Kim, So Eun Bae, Ho Kyung Shin, and  Woo-Jeoung Nam, “A Semantic Mask-Based Face Aging Framework for Personalized Age Transformation”, AI Signal Processing, 2025.

So Eun Bae, Ho Kyung Shin, SuJang Pyeon, Sang Min Kim, Seong Heon Kim, and Woo-Jeoung Nam, “Interpreting Layer-wise Discriminative Evidence in Neural Network Decisions via Asymmetric Attribution Propagation”, AI Signal Processing, 2025.

Ho Kyung Shin, So Eun Bae, SuJang Pyeon, Sang Min Kim, Seong Heon Kim, and Woo-Jeoung Nam, “Enhancing Explainability in Chest X-ray Diagnosis Using a Hybrid Transformer and Re-normalized Attention Maps”, AI Signal Processing, 2025.

Sang Min Kim, So Eun Bae, JooHun Lee, and Woo-Jeoung Nam, “Study of Deep Learning Models for Adnexal cystic torsion Diagnosis on Abdominal CT”, Korea Computer Congress, 2020.

Sujang Pyeon, Ho Kyung Shin, So Eun Bae, and Woo-Jeoung Nam, “Face Age Synthesis via Hierarchical Latent Vector Control”, Korea Computer Congress, 2025.

Yong-Ju Lee, Woo-Jeoung Nam, and Seong-Whan Lee, “Deep Learning-Based Ensemble Network for Precise Matching of Remote-Sensing Images”, The Korea Institute of military science and technology, 2020.

Jae-Hyun Park, Woo-Jeoung Nam, and Seong-Whan Lee, “Deep Bi-Directional Network for Aerial Image Registration”, The Korea Institute of military science and technology, 2019.

Sung-Jun Park, Woo-Jeoung Nam, Hyeon-Seung Song, Jae-Wung Kang, and Seong-Whan Lee, “Exploiting CNN Features with Bidirectional Attention Network for Aerial Image Retrieval”, The Korea Institute of military science and technology, 2019.

Min-Sub Yun, Woo-Jeoung Nam, Hyeon-Seung Song, Jae-Wung Kang, and Seong-Whan Lee, “Aerial Image Retrieval Network Based on Step-wise Metric Learning”, Communications of the Korean Institute of Information Scientists and Engineers, 2019.

Dong-Geon Kim, Woo-Jeoung Nam, and Seong-Whan Lee, “Geometric Transform Network for Matching Oblique Aerial Images”, Communications of the Korean Institute of Information Scientists and Engineers, 2019.

Hyeon-Seung Song, Hyun-Chun Park, Geun-Ho Choi, Woo-Jeoung Nam, and Seong-Whan Lee, “Exploiting CNN Features with CLAHE-Contrast Stretching for Aerial Image Retrieval”, The Korea Institute of military science and technology, 2018