Jianjian Yin

Orcid: 0000-0002-0445-454X

According to our database1, Jianjian Yin authored at least 16 papers between 2023 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
PCA-Seg: Revisiting Cost Aggregation for Open-Vocabulary Semantic and Part Segmentation.
CoRR, March, 2026

DepMatch: Boosting Semi-Supervised Semantic Segmentation by Exploring Depth Difference Knowledge.
IEEE Trans. Image Process., 2026

DFEN: Dual feature equalization network for medical image segmentation.
Knowl. Based Syst., 2026

Semi-supervised semantic segmentation with confidence-driven consistency learning.
Expert Syst. Appl., 2026

ShiftMatch: Shifted consistency matters for semi-supervised medical image segmentation.
Biomed. Signal Process. Control., 2026

2025
DFEN: Dual Feature Equalization Network for Medical Image Segmentation.
CoRR, May, 2025

Semi-supervised Semantic Segmentation with Multi-Constraint Consistency Learning.
CoRR, March, 2025

Semi-Supervised Semantic Segmentation With Multi-Constraint Consistency Learning.
IEEE Trans. Multim., 2025

Multi-level Feature Attention Network for medical image segmentation.
Expert Syst. Appl., 2025

Uncertainty-Participation Context Consistency Learning for Semi-supervised Semantic Segmentation.
Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

2024
Swin-TransUper: Swin Transformer-based UperNet for medical image segmentation.
Multim. Tools Appl., December, 2024

Class Probability Space Regularization for semi-supervised semantic segmentation.
Comput. Vis. Image Underst., 2024

Unified semantic model for medical image segmentation.
Biomed. Signal Process. Control., 2024

Class-Level Multiple Distributions Representation are Necessary for Semantic Segmentation.
Proceedings of the Database Systems for Advanced Applications, 2024

2023
Semi-supervised semantic segmentation with multi-reliability and multi-level feature augmentation.
Expert Syst. Appl., December, 2023

Class-level Multiple Distributions Representation are Necessary for Semantic Segmentation.
CoRR, 2023


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