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  • × Yang Liu
  • × 期刊论文
  • × Research
  • × 2022
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Computational Visual Media,2022年

Chun-Yu Sun, Xin Tong, Yang Liu

LicenseType:CC BY |

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Recognizing 3D part instances from a 3D point cloud is crucial for 3D structure and scene understanding. Several learning-based approaches use semantic segmentation and instance center prediction as training tasks and fail to further exploit the inherent relationship between shape semantics and part instances. In this paper, we present a new method for 3D part instance segmentation. Our method exploits semantic segmentation to fuse nonlocal instance features, such as center prediction, and further enhances the fusion scheme in a multi- and cross-level way. We also propose a semantic region center prediction task to train and leverage the prediction results to improve the clustering of instance points. Our method outperforms existing methods with a large-margin improvement in the PartNet benchmark. We also demonstrate that our feature fusion scheme can be applied to other existing methods to improve their performance in indoor scene instance segmentation tasks.

    Microbiome,2022年

    Meng Li, Yang Liu, Huan Du, Jie Pan, Dayu Zou, Yuhan Huang

    LicenseType:CC BY |

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    BMC Gastroenterology,2022年

    Xudong Zhang, Yang Liu, Yin Yin, Jincheng Wang, Kun Wang, Xiaoliang Xu, Qiaoyu Liu, Zheyu Zhou, Qi Yue, Yu Zhao

    LicenseType:CC BY |

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    Computational Visual Media,2022年

    Yu-Qi Yang, Hao-Xiang Guo, Heung-Yeung Shum, Chun-Yu Sun, Xin Tong, Peng-Shuai Wang, Yang Liu

    LicenseType:CC BY |

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    Computational Visual Media,2022年

    Yu-Qi Yang, Hao-Xiang Guo, Heung-Yeung Shum, Chun-Yu Sun, Xin Tong, Peng-Shuai Wang, Yang Liu

    LicenseType:CC BY |

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    Journal of Ovarian Research,2022年

    Xi Guo, Turui Yang, Xiaoting Shen, Minghui Chen, Yiping Zhong, Rihan Wu, Yang Liu

    LicenseType:CC BY |

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