Yongzhe Yuan

Orcid: 0009-0002-9206-1283

According to our database1, Yongzhe Yuan authored at least 14 papers between 2022 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2025
One-Nearest Neighborhood Guides Inlier Estimation for Unsupervised Point Cloud Registration.
IEEE Trans. Neural Networks Learn. Syst., July, 2025

Equivariance-Based Markov Decision Process for Unsupervised Point Cloud Registration.
IEEE Trans. Circuits Syst. Video Technol., May, 2025

Where Precision Meets Efficiency: Transformation Diffusion Model for Point Cloud Registration.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

MUCD: Unsupervised Point Cloud Change Detection via Masked Consistency.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024
Explore the Influence of Shallow Information on Point Cloud Registration.
IEEE Trans. Neural Networks Learn. Syst., November, 2024

EGST: Enhanced Geometric Structure Transformer for Point Cloud Registration.
IEEE Trans. Vis. Comput. Graph., September, 2024

Learning Discriminative Features via Multi-Hierarchical Mutual Information for Unsupervised Point Cloud Registration.
IEEE Trans. Circuits Syst. Video Technol., September, 2024

Learning Compact Transformation Based on Dual Quaternion for Point Cloud Registration.
IEEE Trans. Instrum. Meas., 2024

PointMC: Multi-instance Point Cloud Registration based on Maximal Cliques.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Inlier Confidence Calibration for Point Cloud Registration.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
Correspondence-Free Point Cloud Registration Via Feature Interaction and Dual Branch [Application Notes].
IEEE Comput. Intell. Mag., November, 2023

PCRDiffusion: Diffusion Probabilistic Models for Point Cloud Registration.
CoRR, 2023

2022
Commonality Autoencoder: Learning Common Features for Change Detection From Heterogeneous Images.
IEEE Trans. Neural Networks Learn. Syst., 2022

Point Cloud Registration Based on Global and Local Feature Fusion.
Proceedings of the Intelligence Science IV - 5th IFIP TC 12 International Conference, 2022


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