Shiao Xie

Orcid: 0000-0002-5106-5512

According to our database1, Shiao Xie authored at least 12 papers between 2022 and 2024.

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

Timeline

Legend:

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Links

On csauthors.net:

Bibliography

2024
SemSim: Revisiting Weak-to-Strong Consistency from a Semantic Similarity Perspective for Semi-supervised Medical Image Segmentation.
CoRR, 2024

IRLSG: Invariant Representation Learning for Single-Domain Generalization in Medical Image Segmentation.
Proceedings of the IEEE International Conference on Acoustics, 2024

Combinatorial CNN-Transformer Learning with Manifold Constraints for Semi-supervised Medical Image Segmentation.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
IS2Net: Intra-domain Semantic and Inter-domain Style Enhancement for Semi-supervised Medical Domain Generalization.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

HSVLT: Hierarchical Scale-Aware Vision-Language Transformer for Multi-Label Image Classification.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Semi-Supervised Convolutional Vision Transformer with Bi-Level Uncertainty Estimation for Medical Image Segmentation.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

SLViT: Scale-Wise Language-Guided Vision Transformer for Referring Image Segmentation.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

MedFCT: A Frequency Domain Joint CNN-Transformer Network for Semi-supervised Medical Image Segmentation.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2023

SemiCVT: Semi-Supervised Convolutional Vision Transformer for Semantic Segmentation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

ClassFormer: Exploring Class-Aware Dependency with Transformer for Medical Image Segmentation.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
ScaleFormer: Revisiting the Transformer-based Backbones from a Scale-wise 
Perspective for Medical Image Segmentation.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Mixed Transformer U-Net for Medical Image Segmentation.
Proceedings of the IEEE International Conference on Acoustics, 2022


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