Shaolei Liu
Orcid: 0000-0003-4712-0846
According to our database1,
Shaolei Liu
authored at least 23 papers
between 2011 and 2024.
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Bibliography
2024
Wavelet-based spectrum transfer with collaborative learning for unsupervised bidirectional cross-modality domain adaptation on medical image segmentation.
Neural Comput. Appl., April, 2024
Trans2Fuse: Empowering image fusion through self-supervised learning and multi-modal transformations via transformer networks.
Expert Syst. Appl., February, 2024
IEEE Trans. Circuits Syst. Video Technol., January, 2024
2023
A Structure-Aware Framework of Unsupervised Cross-Modality Domain Adaptation via Frequency and Spatial Knowledge Distillation.
IEEE Trans. Medical Imaging, December, 2023
A learnable self-supervised task for unsupervised domain adaptation on point cloud classification and segmentation.
Frontiers Comput. Sci., December, 2023
AIM-MEF: Multi-exposure image fusion based on adaptive information mining in both spatial and frequency domains.
Expert Syst. Appl., August, 2023
IEEE Trans. Pattern Anal. Mach. Intell., May, 2023
Rethinking multi-exposure image fusion with extreme and diverse exposure levels: A robust framework based on Fourier transform and contrastive learning.
Inf. Fusion, April, 2023
Low-Frequency Aware Unsupervised Detection of Dark Jargon Phrases on Social Platforms.
Proceedings of the PRICAI 2023: Trends in Artificial Intelligence, 2023
Reducing Domain Gap in Frequency and Spatial Domain for Cross-Modality Domain Adaptation on Medical Image Segmentation.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
Remote. Sens., 2022
Neural Comput. Appl., 2022
Robust Point Cloud Registration Framework Based on Deep Graph Matching(TPAMI Version).
CoRR, 2022
TransFuse: A Unified Transformer-based Image Fusion Framework using Self-supervised Learning.
CoRR, 2022
DGMIL: Distribution Guided Multiple Instance Learning for Whole Slide Image Classification.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
TransMEF: A Transformer-Based Multi-Exposure Image Fusion Framework Using Self-Supervised Multi-Task Learning.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
2021
CoRR, 2021
WaveFuse: A Unified Unsupervised Framework for Image Fusion with Discrete Wavelet Transform.
Proceedings of the Neural Information Processing - 28th International Conference, 2021
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021
2020
CoRR, 2020
2011
Proceedings of the Applied Informatics and Communication - International Conference, 2011