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Posts by Collection
portfolio
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publications
Mutual Voting for Ranking 3D Correspondences
Published in IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023
Recommended citation: J. Yang, X. Zhang, S. Fan, et al. "Mutual Voting for Ranking 3D Correspondences", in IEEE Transactions on Pattern Analysis and Machine Intelligence, doi: 10.1109/TPAMI.2023.3268297. https://ieeexplore.ieee.org/abstract/document/10105460
3D Registration with Maximal Cliques
Published in Conference on Computer Vision and Pattern Recognition, 2023
Best Student Paper Award of CVPR2023🏆
Recommended citation: X. Zhang, J. Yang, S. Zhang, et al. 3D Registration with Maximal Cliques[C]//Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. 2023: 17745-17754. https://openaccess.thecvf.com/content/CVPR2023/html/Zhang_3D_Registration_With_Maximal_Cliques_CVPR_2023_paper.html
MAC: Maximal Cliques for 3D Registration
Published in IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024
Recommended citation: J. Yang, X. Zhang, P. Wang, et al. "MAC: Maximal Cliques for 3D Registration", in IEEE Transactions on Pattern Analysis and Machine Intelligence, doi: 10.1109/TPAMI.2024.3442911 https://ieeexplore.ieee.org/abstract/document/10636064
Instance by instance: An iterative framework for multi-instance 3d registration
Published in IEEE/CAA Journal of Automatica Sinica, 2025
Recommended citation: J. Yang, X. Cao, X. Zhang, et al. "Instance by instance: An iterative framework for multi-instance 3d registration", in IEEE/CAA Journal of Automatica Sinica, doi:10.1109/JAS.2024.125058 https://ieeexplore.ieee.org/abstract/document/10916674/
MAC++: Going Further with Maximal Cliques for 3D Registration
Published in International Conference on 3D Vision, 2025
Recommended citation: X. Zhang, J. Yang, Y. Zhang. MAC++: Going Further with Maximal Cliques for 3D Registration[C]//Proceedings of the International Conference on 3D Vision. 2025: . https://openreview.net/forum?id=dOpxroaprM
Unlocking Generalization Power in LiDAR Point Cloud Registration
Published in Conference on Computer Vision and Pattern Recognition, 2025
Highlight Paper of CVPR2025✨
Recommended citation: Z. Zeng, W. Qiao, X. Zhang, et al. Unlocking Generalization Power in LiDAR Point Cloud Registration[C]//Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. 2025: 22244-22253. https://openaccess.thecvf.com/content/CVPR2025/html/Zeng_Unlocking_Generalization_Power_in_LiDAR_Point_Cloud_Registration_CVPR_2025_paper.html
HyperGCT: A Dynamic Hyper-GNN-Learned Geometric Constraint for 3D Registration
Published in International Conference on Computer Vision, 2025
Recommended citation: X. Zhang, J. Ma, J. Guo, et al. HyperGCT: A Dynamic Hyper-GNN-Learned Geometric Constraint for 3D Registration[C]//Proceedings of the IEEE/CVF International Conference on Computer Vision. 2025: . https://arxiv.org/abs/2503.02195
talks
Talk 1 on Relevant Topic in Your Field
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Conference Proceeding talk 3 on Relevant Topic in Your Field
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teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
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Teaching experience 2
Workshop, University 1, Department, 2015
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