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2020 – today
- 2024
[j4]Mingye Xu
, Zhipeng Zhou, Hongbin Xu, Yu Qiao, Yali Wang:
CP-Net: Contour-Perturbed Reconstruction Network for Self-Supervised Point Cloud Learning. IEEE Trans. Multim. 26: 8799-8810 (2024)- 2023
- [j3]Mingye Xu, Zhipeng Zhou, Yali Wang, Yu Qiao:
Towards robustness and generalization of point cloud representation: A geometry coding method and a large-scale object-level dataset. Comput. Vis. Media 10(1): 27-43 (2023) - [j2]Mingye Xu, Yali Wang, Yihao Liu, Tong He, Yu Qiao:
CP3: Unifying Point Cloud Completion by Pretrain-Prompt-Predict Paradigm. IEEE Trans. Pattern Anal. Mach. Intell. 45(8): 9583-9594 (2023) - [j1]Kexue Fu, Zhihao Li, Mingye Xu, Xiaoyuan Luo, Manning Wang:
Dual-Branch Deep Point Cloud Registration Framework for Unconstrained Rotation. IEEE Trans. Ind. Informatics 19(7): 7851-7861 (2023) - [c5]Mingye Xu, Mutian Xu, Tong He, Wanli Ouyang, Yali Wang, Xiaoguang Han, Yu Qiao:
MM-3DScene: 3D Scene Understanding by Customizing Masked Modeling with Informative-Preserved Reconstruction and Self-Distilled Consistency. CVPR 2023: 4380-4390 - 2022
- [i8]Mingye Xu, Zhipeng Zhou, Hongbin Xu, Yali Wang, Yu Qiao:
CP-Net: Contour-Perturbed Reconstruction Network for Self-Supervised Point Cloud Learning. CoRR abs/2201.08215 (2022) - [i7]Mingye Xu, Yali Wang, Yihao Liu, Yu Qiao:
CP3: Unifying Point Cloud Completion by Pretrain-Prompt-Predict Paradigm. CoRR abs/2207.05359 (2022) - [i6]Mingye Xu, Mutian Xu, Tong He, Wanli Ouyang, Yali Wang, Xiaoguang Han, Yu Qiao:
MM-3DScene: 3D Scene Understanding by Customizing Masked Modeling with Informative-Preserved Reconstruction and Self-Distilled Consistency. CoRR abs/2212.09948 (2022) - 2021
- [c4]Mingye Xu, Zhipeng Zhou, Junhao Zhang, Yu Qiao:
Investigate Indistinguishable Points in Semantic Segmentation of 3D Point Cloud. AAAI 2021: 3047-3055 - [c3]Mutian Xu, Junhao Zhang, Zhipeng Zhou, Mingye Xu, Xiaojuan Qi, Yu Qiao:
Learning Geometry-Disentangled Representation for Complementary Understanding of 3D Object Point Cloud. AAAI 2021: 3056-3064 - [i5]Mingye Xu, Zhipeng Zhou, Junhao Zhang, Yu Qiao:
Investigate Indistinguishable Points in Semantic Segmentation of 3D Point Cloud. CoRR abs/2103.10339 (2021) - [i4]Liang Pan, Tong Wu, Zhongang Cai, Ziwei Liu, Xumin Yu, Yongming Rao, Jiwen Lu, Jie Zhou, Mingye Xu, Xiaoyuan Luo, Kexue Fu, Peng Gao, Manning Wang, Yali Wang, Yu Qiao, Junsheng Zhou, Xin Wen, Peng Xiang, Yu-Shen Liu, Zhizhong Han, Yuanjie Yan, Junyi An, Lifa Zhu, Changwei Lin, Dongrui Liu, Xin Li, Francisco Gómez Fernández, Qinlong Wang, Yang Yang:
Multi-View Partial (MVP) Point Cloud Challenge 2021 on Completion and Registration: Methods and Results. CoRR abs/2112.12053 (2021) - 2020
- [c2]Mingye Xu, Zhipeng Zhou, Yu Qiao:
Geometry Sharing Network for 3D Point Cloud Classification and Segmentation. AAAI 2020: 12500-12507 - [i3]Mutian Xu, Junhao Zhang, Zhipeng Zhou, Mingye Xu, Xiaojuan Qi, Yu Qiao:
Learning Geometry-Disentangled Representation for Complementary Understanding of 3D Object Point Cloud. CoRR abs/2012.10921 (2020)
2010 – 2019
- 2019
- [i2]Mingye Xu, Zhipeng Zhou, Yu Qiao:
Geometry Sharing Network for 3D Point Cloud Classification and Segmentation. CoRR abs/1912.10644 (2019) - 2018
- [c1]Yifan Xu, Tianqi Fan, Mingye Xu, Long Zeng, Yu Qiao:
SpiderCNN: Deep Learning on Point Sets with Parameterized Convolutional Filters. ECCV (8) 2018: 90-105 - [i1]Yifan Xu, Tianqi Fan, Mingye Xu, Long Zeng, Yu Qiao:
SpiderCNN: Deep Learning on Point Sets with Parameterized Convolutional Filters. CoRR abs/1803.11527 (2018)
Coauthor Index
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