A Robust Matching Network for Gradually Estimating Geometric Transformation on Remote Sensing Imagery. - Dong-Geon Kim; Woo-Jeoung Nam; Seong-Whan Lee (SMC, 2019)

Relative Attributing Propagation: Interpreting the Comparative Contributions of Individual Units in Deep Neural Networks. - Woo-Jeoung Nam; Jaesik Choi; Seong-Whan Lee (CoRR, 2019)

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 (AAAI, 2020)

Rotation Invariant Aerial Image Retrieval with Group Convolutional Metric Learning. - Hyunseung Chung; Woo-Jeoung Nam; Seong-Whan Lee (ICPR, 2020)

A Two-Stream Symmetric Network with Bidirectional Ensemble for Aerial Image Matching. - Jae-Hyun Park; Woo-Jeoung Nam; Seong-Whan Lee (Remote. Sens., 2020)

Coarse-to-Fine Deep Metric Learning for Remote Sensing Image Retrieval. - Min-Sub Yun; Woo-Jeoung Nam; Seong-Whan Lee (Remote. Sens., 2020)

Interpreting Deep Neural Networks with Relative Sectional Propagation by Analyzing Comparative Gradients and Hostile Activations. - Woo-Jeoung Nam; Jaesik Choi; Seong-Whan Lee (AAAI, 2021)

Improving Interpretability of Deep Neural Networks in Medical Diagnosis by Investigating the Individual Units. - Woo-Jeoung Nam; Seong-Whan Lee (CoRR, 2021)

SAR Image Denoising in High Dynamic Range with Speckle and Thermal Noise Refinement Modeling. - Ji-Hoon Han; Woo-Jeoung Nam; Seong-Whan Lee (AVSS, 2022)

Few-Shot Object Detection with Proposal Balance Refinement. - Sueyeon Kim; Woo-Jeoung Nam; Seong-Whan Lee (ICPR, 2022)

Multi-Contextual Predictions with Vision Transformer for Video Anomaly Detection. - Joo-Yeon Lee; Woo-Jeoung Nam; Seong-Whan Lee (ICPR, 2022)

Learning Temporal Context of Normality for Unsupervised Anomaly Detection in Videos. - Wooyeol Hyun; Woo-Jeoung Nam; Jooyeon Lee; Seong-Whan Lee (SMC, 2022)

Gradient Hedging for Intensively Exploring Salient Interpretation beyond Neuron Activation. - Woo-Jeoung Nam; Seong-Whan Lee (CoRR, 2022)

Duration Controllable Voice Conversion via Phoneme-Based Information Bottleneck. - Sang-Hoon Lee; Hyeong-Rae Noh; Woo-Jeoung Nam; Seong-Whan Lee (IEEE ACM Trans. Audio Speech Lang. Process., 2022)

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 (AAAI, 2023)

Compensatory Debiasing For Gender Imbalances In Language Models. - Tae-Jin Woo; Woo-Jeoung Nam; Yeong-Joon Ju; Seong-Whan Lee (ICASSP, 2023)

Enhancing Robustness of Prototype with Attentive Information Guided Alignment in Few-Shot Classification. - Tae-Hyung Kim; Woo-Jeoung Nam; Seong-Whan Lee (PAKDD (1), 2023)

Style selective normalization with meta learning for test-time adaptive face anti-spoofing. - Young-Eun Kim; Woo-Jeoung Nam; Kyungseo Min; Seong-Whan Lee (Expert Syst. Appl., 2023)

Dissimilate-and-assimilate strategy for video anomaly detection and localization. - Wooyeol Hyun; Woo-Jeoung Nam; Seong-Whan Lee (Neurocomputing, 2023)

Weakly supervised thoracic disease localization via disease masks. - Honggyu Jung; Woo-Jeoung Nam; Hyun-Woo Kim; Seong-Whan Lee (Neurocomputing, 2023)

Toward practical and plausible counterfactual explanation through latent adjustment in disentangled space. - Seung-Hyup Na; Woo-Jeoung Nam; Seong-Whan Lee (Expert Syst. Appl., 2023)

Improving Interpretability of Deep Neural Networks in Medical Diagnosis by Investigating the Individual Units. - Ho Kyung Shin; Woo-Jeoung Nam (J. Comput. Sci. Eng., 2024)

Appearance debiased gaze estimation via stochastic subject-wise adversarial learning. - Suneung Kim; Woo-Jeoung Nam; Seong-Whan Lee (Pattern Recognit., 2024)

Masked Kinematic Continuity-aware Hierarchical Attention Network for pose estimation in videos. - Kyung-Min Jin; Gun-Hee Lee; Woo-Jeoung Nam; Tae-Kyung Kang; Hyun-Woo Kim; Seong-Whan Lee (Neural Networks, 2024)

MHCanonNet: Multi-Hypothesis Canonical lifting Network for self-supervised 3D human pose estimation in the wild video. - Hyun-Woo Kim; Gun-Hee Lee; Woo-Jeoung Nam; Kyung-Min Jin; Tae-Kyung Kang; Geon-Jun Yang; Seong-Whan Lee (Pattern Recognit., 2024)

Illuminating Salient Contributions in Neuron Activation With Attribution Equilibrium. - Woo-Jeoung Nam; Seong-Whan Lee (IEEE Trans. Pattern Anal. Mach. Intell., 2025)