Mingzhi Yuan

Orcid: 0000-0003-1322-7530

According to our database1, Mingzhi Yuan authored at least 13 papers between 2022 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2024
Decoupled deep hough voting for point cloud registration.
Frontiers Comput. Sci., April, 2024

Boosting Point-BERT by Multi-Choice Tokens.
IEEE Trans. Circuits Syst. Video Technol., January, 2024

2023
ProteinMAE: masked autoencoder for protein surface self-supervised learning.
Bioinform., December, 2023

Density-based one-shot active learning for image segmentation.
Eng. Appl. Artif. Intell., November, 2023

Boosting 3D Point Cloud Registration by Transferring Multi-modality Knowledge.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Inner Wall Abnormality Detection of Rotating Shaft Based on Deep Learning.
Proceedings of the 2023 8th International Conference on Multimedia Systems and Signal Processing, 2023

PointMBF: A Multi-scale Bidirectional Fusion Network for Unsupervised RGB-D Point Cloud Registration.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022
Deep Graph Matching Based Dense Correspondence Learning Between Non-Rigid Point Clouds.
IEEE Robotics Autom. Lett., 2022

Deep active learning models for imbalanced image classification.
Knowl. Based Syst., 2022

One-shot active learning for image segmentation via contrastive learning and diversity-based sampling.
Knowl. Based Syst., 2022

Cold-start active learning for image classification.
Inf. Sci., 2022

Point-McBert: A Multi-choice Self-supervised Framework for Point Cloud Pre-training.
CoRR, 2022

PointCLM: A Contrastive Learning-based Framework for Multi-instance Point Cloud Registration.
Proceedings of the Computer Vision - ECCV 2022, 2022


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