Sung Won Han
Orcid: 0000-0002-0040-3542Affiliations:
- Korea University, School of Industrial Management Engineering, Seoul, South Korea
According to our database1,
Sung Won Han
authored at least 20 papers
between 2017 and 2024.
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Bibliography
2024
Leveraging Non-Causal Knowledge via Cross-Network Knowledge Distillation for Real-Time Speech Enhancement.
IEEE Signal Process. Lett., 2024
Revisiting and Maximizing Temporal Knowledge in Semi-supervised Semantic Segmentation.
CoRR, 2024
2023
IEEE Trans. Aerosp. Electron. Syst., October, 2023
GaIA: Graphical Information Gain based Attention Network for Weakly Supervised Point Cloud Semantic Segmentation.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023
Rethinking Transfer and Auxiliary Learning for Improving Audio Captioning Transformer.
Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023
MetricGAN-OKD: Multi-Metric Optimization of MetricGAN via Online Knowledge Distillation for Speech Enhancement.
Proceedings of the International Conference on Machine Learning, 2023
Proceedings of the IEEE International Conference on Acoustics, 2023
AD-YOLO: You Look Only Once in Training Multiple Sound Event Localization and Detection.
Proceedings of the IEEE International Conference on Acoustics, 2023
2022
Pattern Recognit. Lett., 2022
Arrhythmia detection model using modified DenseNet for comprehensible Grad-CAM visualization.
Biomed. Signal Process. Control., 2022
CRFormer: Complementary Reliability Perspective Transformer for Automotive Components Reliability Prediction Based on Claim Data.
IEEE Access, 2022
EM-LAST: Effective Multidimensional Latent Space Transport for an Unpaired Image-to-Image Translation With an Energy-Based Model.
IEEE Access, 2022
Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022
Proceedings of the IEEE International Conference on Acoustics, 2022
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
2021
2020
Prediction of Voluntary Motion Using Decomposition-and-Ensemble Framework With Deep Neural Networks.
IEEE Access, 2020
2019
Vision-Based Deep Q-Learning Network Models to Predict Particulate Matter Concentration Levels Using Temporal Digital Image Data.
J. Sensors, 2019
2017
Multim. Tools Appl., 2017
Comput. Math. Methods Medicine, 2017