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Xianzhi Li
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Pu-net: Point cloud upsampling network
L Yu, X Li, CW Fu, D Cohen-Or, PA Heng
Proceedings of the IEEE conference on computer vision and pattern …, 2018
6062018
Pu-gan: a point cloud upsampling adversarial network
R Li, X Li, CW Fu, D Cohen-Or, PA Heng
Proceedings of the IEEE/CVF international conference on computer vision …, 2019
4102019
Ec-net: an edge-aware point set consolidation network
L Yu, X Li, CW Fu, D Cohen-Or, PA Heng
Proceedings of the European conference on computer vision (ECCV), 386-402, 2018
2752018
Pointaugment: an auto-augmentation framework for point cloud classification
R Li, X Li, PA Heng, CW Fu
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020
1722020
Point cloud upsampling via disentangled refinement
R Li, X Li, PA Heng, CW Fu
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021
1222021
Deep floor plan recognition using a multi-task network with room-boundary-guided attention
Z Zeng, X Li, YK Yu, CW Fu
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019
1162019
SP-GAN: Sphere-guided 3D shape generation and manipulation
R Li, X Li, KH Hui, CW Fu
ACM Transactions on Graphics (TOG) 40 (4), 1-12, 2021
1122021
Attention GANs: Unsupervised deep feature learning for aerial scene classification
Y Yu, X Li, F Liu
IEEE Transactions on Geoscience and Remote Sensing 58 (1), 519-531, 2019
992019
A rotation-invariant framework for deep point cloud analysis
X Li, R Li, G Chen, CW Fu, D Cohen-Or, PA Heng
IEEE transactions on visualization and computer graphics 28 (12), 4503-4514, 2021
942021
DNF-Net: A deep normal filtering network for mesh denoising
X Li, R Li, L Zhu, CW Fu, PA Heng
IEEE Transactions on Visualization and Computer Graphics 27 (10), 4060-4072, 2020
512020
Point-bind & point-llm: Aligning point cloud with multi-modality for 3d understanding, generation, and instruction following
Z Guo, R Zhang, X Zhu, Y Tang, X Ma, J Han, K Chen, P Gao, X Li, H Li, ...
arXiv preprint arXiv:2309.00615, 2023
462023
Non‐local low‐rank normal filtering for mesh denoising
X Li, L Zhu, CW Fu, PA Heng
Computer Graphics Forum 37 (7), 155-166, 2018
452018
A sim-to-real object recognition and localization framework for industrial robotic bin picking
X Li, R Cao, Y Feng, K Chen, B Yang, CW Fu, Y Li, Q Dou, YH Liu, ...
IEEE Robotics and Automation Letters 7 (2), 3961-3968, 2022
382022
Repcd-net: Feature-aware recurrent point cloud denoising network
H Chen, Z Wei, X Li, Y Xu, M Wei, J Wang
International Journal of Computer Vision 130 (3), 615-629, 2022
362022
Joint-mae: 2d-3d joint masked autoencoders for 3d point cloud pre-training
Z Guo, R Zhang, L Qiu, X Li, PA Heng
arXiv preprint arXiv:2302.14007, 2023
272023
Data fusion for intelligent crowd monitoring and management systems: A survey
X Li, Q Yu, B Alzahrani, A Barnawi, A Alhindi, D Alghazzawi, Y Miao
IEEE Access 9, 47069-47083, 2021
242021
E-DBPN: Enhanced deep back-projection networks for remote sensing scene image superresolution
Y Yu, X Li, F Liu
IEEE Transactions on Geoscience and Remote Sensing 58 (8), 5503-5515, 2020
232020
Unsupervised detection of distinctive regions on 3D shapes
X Li, L Yu, CW Fu, D Cohen-Or, PA Heng
ACM Transactions on Graphics (TOG) 39 (5), 1-14, 2020
182020
Non-local part-aware point cloud denoising
C Huang, R Li, X Li, CW Fu
arXiv preprint arXiv:2003.06631, 2020
152020
PU-GAN: A point cloud upsampling adversarial network. In 2019 IEEE
R Li, X Li, CW Fu, D Cohen-Or, PA Heng
CVF International Conference on Computer Vision, ICCV, 7202-7211, 2019
122019
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