Di Shao

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All published works

Action	Title	Year	Authors
+ PDF Chat	3D Intracranial Aneurysm Classification and Segmentation via Unsupervised Dual-Branch Learning	2022	Di Shao Xuequan Lu Xiao Liu

Common Coauthors

Coauthor	Papers Together
Xuequan Lu	1
Xiao Liu	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	3D ShapeNets: A deep representation for volumetric shapes	2015	Zhirong Wu Shuran Song Aditya Khosla Fisher Yu Linguang Zhang Xiaoou Tang Jianxiong Xiao	1
+ PDF Chat	VConv-DAE: Deep Volumetric Shape Learning Without Object Labels	2016	Abhishek Sharma Oliver Grau Mario Fritz	1
+ PDF Chat	FoldingNet: Point Cloud Auto-Encoder via Deep Grid Deformation	2018	Yaoqing Yang Chen Feng Yiru Shen Dong Tian	1
+ PDF Chat	SpiderCNN: Deep Learning on Point Sets with Parameterized Convolutional Filters	2018	Yifan Xu Tianqi Fan Mingye Xu Long Zeng Yu Qiao	1
+ PDF Chat	SO-Net: Self-Organizing Network for Point Cloud Analysis	2018	Jiaxin Li Ben M. Chen Gim Hee Lee	1
+ PDF Chat	Learning a Predictable and Generative Vector Representation for Objects	2016	Rohit Girdhar David F. Fouhey Mikel Rodríguez Abhinav Gupta	1
+ PDF Chat	Dynamic Graph CNN for Learning on Point Clouds	2019	Yue Wang Yongbin Sun Ziwei Liu Sanjay E. Sarma Michael M. Bronstein Justin Solomon	1
+ PDF Chat	Unsupervised Multi-Task Feature Learning on Point Clouds	2019	Kaveh Hassani Mike Haley	1
+ PDF Chat	Multi-Angle Point Cloud-VAE: Unsupervised Feature Learning for 3D Point Clouds From Multiple Angles by Joint Self-Reconstruction and Half-to-Half Prediction	2019	Zhizhong Han Xiyang Wang Yu-Shen Liu Matthias Zwicker	1
+ PDF Chat	IntrA: 3D Intracranial Aneurysm Dataset for Deep Learning	2020	Xi Yang Ding Xia Taichi Kin Takeo Igarashi	1
+	Pointfilter: Point Cloud Filtering via Encoder-Decoder Modeling	2020	Dongbo Zhang Xuequan Lu Hong Qin Ying He	1
+ PDF Chat	Info3D: Representation Learning on 3D Objects Using Mutual Information Maximization and Contrastive Learning	2020	Aditya Sanghi	1
+ PDF Chat	PointHop: An Explainable Machine Learning Method for Point Cloud Classification	2020	Min Zhang Haoxuan You Pranav Kadam Shan Liu C.‐C. Jay Kuo	1
+ PDF Chat	PointContrast: Unsupervised Pre-training for 3D Point Cloud Understanding	2020	Saining Xie Jiatao Gu Demi Guo Charles R. Qi Leonidas Guibas Or Litany	1
+ PDF Chat	Omni-supervised Point Cloud Segmentation via Gradual Receptive Field Component Reasoning	2021	Jingyu Gong Jiachen Xu Xin Tan Haichuan Song Yanyun Qu Yuan Xie Lizhuang Ma	1
+ PDF Chat	Boundary-Aware Geometric Encoding for Semantic Segmentation of Point Clouds	2021	Jingyu Gong Jiachen Xu Xin Tan Jie Zhou Yanyun Qu Yuan Xie Lizhuang Ma	1
+ PDF Chat	MedmeshCNN - Enabling meshcnn for medical surface models	2021	Lisa Schneider Annika Niemann Oliver Beuing Bernhard Preim Sylvia Saalfeld	1
+ PDF Chat	Deep Point Cloud Normal Estimation Via Triplet Learning	2022	Weijia Wang Xuequan Lu Dasith de Silva Edirimuni Xiao Liu Antonio Robles‐Kelly	1
+	Unsupervised Representation Learning for 3D Point Cloud Data.	2021	Jincen Jiang Xuequan Lu Wanli Ouyang Meili Wang	1
+	3D Medical Point Transformer: Introducing Convolution to Attention Networks for Medical Point Cloud Analysis	2021	Jianhui Yu Chaoyi Zhang Heng Wang Dingxin Zhang Yang Song Tiange Xiang Dongnan Liu Weidong Cai	1