no code implementations • 15 May 2024 • Jiaxing Yang, Lihe Zhang, Jiayu Sun, Huchuan Lu
In this paper, we propose Spatial Semantic Recurrent Mining (S\textsuperscript{2}RM) to achieve high-quality cross-modality fusion.
1 code implementation • ICCV 2023 • Jiayu Sun, Ke Xu, Youwei Pang, Lihe Zhang, Huchuan Lu, Gerhard Hancke, Rynson Lau
In this paper, we propose a novel method to detect shadows from raw images.
1 code implementation • 24 Sep 2021 • Jiayu Sun, Zhanghan Ke, Lihe Zhang, Huchuan Lu, Rynson W. H. Lau
In this work, we observe that instead of asking the user to explicitly provide a background image, we may recover it from the input video itself.
3 code implementations • 15 May 2021 • Kecheng Chen, Jiayu Sun, Jiang Shen, Jixiang Luo, Xinyu Zhang, Xuelin Pan, Dongsheng Wu, Yue Zhao, Miguel Bento, Yazhou Ren, Xiaorong Pu
To address this issue, we propose a novel graph convolutional network-based LDCT denoising model, namely GCN-MIF, to explicitly perform multi-information fusion for denoising purpose.
no code implementations • 18 Apr 2021 • Kecheng Chen, Kun Long, Yazhou Ren, Jiayu Sun, Xiaorong Pu
To this end, we propose a play-and-plug medical image denoising framework, namely Lesion-Inspired Denoising Network (LIDnet), to collaboratively improve both denoising performance and detection accuracy of denoised medical images.
9 code implementations • 24 Nov 2020 • Zhanghan Ke, Jiayu Sun, Kaican Li, Qiong Yan, Rynson W. H. Lau
MODNet is easy to be trained in an end-to-end manner.
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