Woo-Jeoung Nam
Orcid: 0000-0002-6548-4486
According to our database1,
Woo-Jeoung Nam
authored at least 25 papers
between 2019 and 2024.
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Bibliography
2024
MHCanonNet: Multi-Hypothesis Canonical lifting Network for self-supervised 3D human pose estimation in the wild video.
Pattern Recognit., January, 2024
Masked Kinematic Continuity-aware Hierarchical Attention Network for pose estimation in videos.
Neural Networks, January, 2024
Appearance debiased gaze estimation via stochastic subject-wise adversarial learning.
Pattern Recognit., 2024
Improving Interpretability of Deep Neural Networks in Medical Diagnosis by Investigating the Individual Units.
J. Comput. Sci. Eng., 2024
2023
Toward practical and plausible counterfactual explanation through latent adjustment in disentangled space.
Expert Syst. Appl., December, 2023
Neurocomputing, 2023
Neurocomputing, 2023
Style selective normalization with meta learning for test-time adaptive face anti-spoofing.
Expert Syst. Appl., 2023
Enhancing Robustness of Prototype with Attentive Information Guided Alignment in Few-Shot Classification.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2023
Proceedings of the IEEE International Conference on Acoustics, 2023
Towards Better Visualizing the Decision Basis of Networks via Unfold and Conquer Attribution Guidance.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
IEEE ACM Trans. Audio Speech Lang. Process., 2022
Gradient Hedging for Intensively Exploring Salient Interpretation beyond Neuron Activation.
CoRR, 2022
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2022
Proceedings of the 26th International Conference on Pattern Recognition, 2022
Proceedings of the 26th International Conference on Pattern Recognition, 2022
SAR Image Denoising in High Dynamic Range with Speckle and Thermal Noise Refinement Modeling.
Proceedings of the 18th IEEE International Conference on Advanced Video and Signal Based Surveillance, 2022
2021
Improving Interpretability of Deep Neural Networks in Medical Diagnosis by Investigating the Individual Units.
CoRR, 2021
Interpreting Deep Neural Networks with Relative Sectional Propagation by Analyzing Comparative Gradients and Hostile Activations.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
Remote. Sens., 2020
A Two-Stream Symmetric Network with Bidirectional Ensemble for Aerial Image Matching.
Remote. Sens., 2020
Proceedings of the 25th International Conference on Pattern Recognition, 2020
Relative Attributing Propagation: Interpreting the Comparative Contributions of Individual Units in Deep Neural Networks.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
2019
Relative Attributing Propagation: Interpreting the Comparative Contributions of Individual Units in Deep Neural Networks.
CoRR, 2019
A Robust Matching Network for Gradually Estimating Geometric Transformation on Remote Sensing Imagery.
Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019