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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: .