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Selected🔥🔥🔥
🚩 Shangqi Gao and Xiahai Zhuang, "Bayesian Image Super-Resolution with Deep Modeling of Image Statistics", TPAMI, 2022. [code][arXiv][paper]
🚩 Shangqi Gao and Xiahai Zhuang, "Rank-One Network: An Effective Framework for Image Restoration", TPAMI, 2020. [code][arXiv][paper]
🚩 Shangqi Gao, Hangqi Zhou, Yibo Gao, and Xiahai Zhuang, "BayeSeg: Bayesian Modeling for Medical Image Segmentation with Interpretable Generalizability", Medical Image Analysis, 2023. [code][arXiv][paper]
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2023 Journal/Conference papers
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2022 Journal/Conference papers
📝 Shangqi Gao and Xiahai Zhuang, "Bayesian Image Super-Resolution with Deep Modeling of Image Statistics", TPAMI, 2022. [code][arXiv][paper]
📝 Shangqi Gao, Hangqi Zhou, Yibo Gao, and Xiahai Zhuang, "Joint Modeling of Image and Label Statistics for Enhancing Model Generalizability of Medical Image Segmentation", MICCAI, 2022. [code][arXiv][paper]
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2021 Journal/Conference papers
📝 Hangqi Zhou, Chao Huang, Shangqi Gao, Xiahai Zhuang, "VSpSR: Explorable Super-Resolution via Variational Sparse Representation", CVPRW, 2021. [code][arXiv][paper]
📝 Andreas Lugmayr, Martin Danelljan, Radu Timofte et al. "NTIRE 2021 Learning the Super-Resolution Space Challenge", CVPRW, 2021. [paper]
📝 Dengqiang Jia, Shangqi Gao, Qunlong Chen, Xinzhe Luo, Xiahai Zhuang, "A low-rank representation for unsupervised registration of medical images", arxiv, 2021. [arXiv]
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2020 Journal/Conference papers
📝 Shangqi Gao and Xiahai Zhuang, "Rank-One Network: An Effective Framework for Image Restoration", TPAMI, 2020. [code][arXiv][paper]
📝 Shangqi Gao and Xiahai Zhuang, Robust approximations of low-rank minimization for tensor completion, Neurocomputing, 379:319-333, 2020. [code][paper]
📝 Shangqi Gao and Qibin Fan, Robust schatten-p norm based approach for tensor completion, J. Sci. Comput., 82:11, 2020. [code][paper]
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2019 Journal/Conference papers
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2018 Journal/Conference papers