Woo-Jeoung Nam

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 32

Top Topics

Gaze Estimation

High Dynamic Range

Remote Sensing Imagery

Image Retrieval

Top Venues

Expert Syst. Appl.

Publications

Suneung Kim, Woo-Jeoung Nam, Seong-Whan Lee
Appearance Debiased Gaze Estimation via Stochastic Subject-Wise Adversarial Learning. CoRR (2024)
Ho Kyung Shin, Woo-Jeoung Nam
Improving Interpretability of Deep Neural Networks in Medical Diagnosis by Investigating the Individual Units. J. Comput. Sci. Eng. 18 (1) (2024)
Kyung-Min Jin, Gun-Hee Lee, Woo-Jeoung Nam, Tae-Kyung Kang, Hyun-Woo Kim, Seong-Whan Lee
Masked Kinematic Continuity-aware Hierarchical Attention Network for pose estimation in videos. Neural Networks 169 (2024)
Suneung Kim, Woo-Jeoung Nam, Seong-Whan Lee
Appearance debiased gaze estimation via stochastic subject-wise adversarial learning. Pattern Recognit. 152 (2024)
Hyun-Woo Kim, Gun-Hee Lee, Woo-Jeoung Nam, Kyung-Min Jin, Tae-Kyung Kang, Geon-Jun Yang, Seong-Whan Lee
MHCanonNet: Multi-Hypothesis Canonical lifting Network for self-supervised 3D human pose estimation in the wild video. Pattern Recognit. 145 (2024)
Jung-Ho Hong, Woo-Jeoung Nam, Kyu-Sung Jeon, Seong-Whan Lee
Towards Better Visualizing the Decision Basis of Networks via Unfold and Conquer Attribution Guidance. CoRR (2023)
Seung-Hyup Na, Woo-Jeoung Nam, Seong-Whan Lee
Toward practical and plausible counterfactual explanation through latent adjustment in disentangled space. Expert Syst. Appl. 233 (2023)
Tae-Jin Woo, Woo-Jeoung Nam, Yeong-Joon Ju, Seong-Whan Lee
Compensatory Debiasing For Gender Imbalances In Language Models. ICASSP (2023)
Tae-Hyung Kim, Woo-Jeoung Nam, Seong-Whan Lee
Enhancing Robustness of Prototype with Attentive Information Guided Alignment in Few-Shot Classification. PAKDD (1) (2023)
Young-Eun Kim, Woo-Jeoung Nam, Kyungseo Min, Seong-Whan Lee
Style selective normalization with meta learning for test-time adaptive face anti-spoofing. Expert Syst. Appl. 214 (2023)
Jung-Ho Hong, Woo-Jeoung Nam, Kyu-Sung Jeon, Seong-Whan Lee
Towards Better Visualizing the Decision Basis of Networks via Unfold and Conquer Attribution Guidance. AAAI (2023)
Wooyeol Hyun, Woo-Jeoung Nam, Seong-Whan Lee
Dissimilate-and-assimilate strategy for video anomaly detection and localization. Neurocomputing 522 (2023)
Honggyu Jung, Woo-Jeoung Nam, Hyun-Woo Kim, Seong-Whan Lee
Weakly supervised thoracic disease localization via disease masks. Neurocomputing 517 (2023)
Wooyeol Hyun, Woo-Jeoung Nam, Jooyeon Lee, Seong-Whan Lee
Learning Temporal Context of Normality for Unsupervised Anomaly Detection in Videos. SMC (2022)
Sueyeon Kim, Woo-Jeoung Nam, Seong-Whan Lee
Few-Shot Object Detection with Proposal Balance Refinement. CoRR (2022)
Joo-Yeon Lee, Woo-Jeoung Nam, Seong-Whan Lee
Multi-Contextual Predictions with Vision Transformer for Video Anomaly Detection. CoRR (2022)
Joo-Yeon Lee, Woo-Jeoung Nam, Seong-Whan Lee
Multi-Contextual Predictions with Vision Transformer for Video Anomaly Detection. ICPR (2022)
Ji-Hoon Han, Woo-Jeoung Nam, Seong-Whan Lee
SAR Image Denoising in High Dynamic Range with Speckle and Thermal Noise Refinement Modeling. AVSS (2022)
Sang-Hoon Lee, Hyeong-Rae Noh, Woo-Jeoung Nam, Seong-Whan Lee
Duration Controllable Voice Conversion via Phoneme-Based Information Bottleneck. IEEE ACM Trans. Audio Speech Lang. Process. 30 (2022)
Sueyeon Kim, Woo-Jeoung Nam, Seong-Whan Lee
Few-Shot Object Detection with Proposal Balance Refinement. ICPR (2022)
Woo-Jeoung Nam, Seong-Whan Lee
Gradient Hedging for Intensively Exploring Salient Interpretation beyond Neuron Activation. CoRR (2022)
Woo-Jeoung Nam, Jaesik Choi, Seong-Whan Lee
Interpreting Deep Neural Networks with Relative Sectional Propagation by Analyzing Comparative Gradients and Hostile Activations. AAAI (2021)
Woo-Jeoung Nam, Seong-Whan Lee
Improving Interpretability of Deep Neural Networks in Medical Diagnosis by Investigating the Individual Units. CoRR (2021)
Jae-Hyun Park, Woo-Jeoung Nam, Seong-Whan Lee
A Two-Stream Symmetric Network with Bidirectional Ensemble for Aerial Image Matching. CoRR (2020)
Hyunseung Chung, Woo-Jeoung Nam, Seong-Whan Lee
Rotation Invariant Aerial Image Retrieval with Group Convolutional Metric Learning. ICPR (2020)
Woo-Jeoung Nam, Jaesik Choi, Seong-Whan Lee
Interpreting Deep Neural Networks with Relative Sectional Propagation by Analyzing Comparative Gradients and Hostile Activations. CoRR (2020)
Hyunseung Chung, Woo-Jeoung Nam, Seong-Whan Lee
Rotation Invariant Aerial Image Retrieval with Group Convolutional Metric Learning. CoRR (2020)
Jae-Hyun Park, Woo-Jeoung Nam, Seong-Whan Lee
A Two-Stream Symmetric Network with Bidirectional Ensemble for Aerial Image Matching. Remote. Sens. 12 (3) (2020)
Woo-Jeoung Nam, Shir Gur, Jaesik Choi, Lior Wolf, Seong-Whan Lee
Relative Attributing Propagation: Interpreting the Comparative Contributions of Individual Units in Deep Neural Networks. AAAI (2020)
Min-Sub Yun, Woo-Jeoung Nam, Seong-Whan Lee
Coarse-to-Fine Deep Metric Learning for Remote Sensing Image Retrieval. Remote. Sens. 12 (2) (2020)
Dong-Geon Kim, Woo-Jeoung Nam, Seong-Whan Lee
A Robust Matching Network for Gradually Estimating Geometric Transformation on Remote Sensing Imagery. SMC (2019)
Woo-Jeoung Nam, Jaesik Choi, Seong-Whan Lee
Relative Attributing Propagation: Interpreting the Comparative Contributions of Individual Units in Deep Neural Networks. CoRR (2019)