Huimin Huang

Orcid: 0000-0001-8987-350X

Affiliations:
  • Zhejiang University, College of Computer Science and Technology, Hangzhou, China


According to our database1, Huimin Huang authored at least 19 papers between 2020 and 2025.

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

Timeline

Legend:

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Online presence:

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Bibliography

2025
Learning to Generalize Heterogeneous Representation for Cross-Modality Image Synthesis via Multiple Domain Interventions.
Int. J. Comput. Vis., July, 2025

NightAdapter: Learning a Frequency Adapter for Generalizable Night-time Scene Segmentation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024
FPGA Oriented Lightweight Deep Learning Inference for Liver Cancer Segmentation.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

Going Beyond Multi-Task Dense Prediction with Synergy Embedding Models.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 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

Semi-Supervised Convolutional Vision Transformer with Bi-Level Uncertainty Estimation for Medical Image Segmentation.
Proceedings of the 31st ACM International Conference on Multimedia, 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
MTL-ABS<sup>3</sup>Net: Atlas-Based Semi-Supervised Organ Segmentation Network With Multi-Task Learning for Medical Images.
IEEE J. Biomed. Health Informatics, 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

2021
Medical Image Segmentation With Deep Atlas Prior.
IEEE Trans. Medical Imaging, 2021

Multi-phase Liver Tumor Segmentation with Spatial Aggregation and Uncertain Region Inpainting.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

3D Graph-S<sup>2</sup>Net: Shape-Aware Self-ensembling Network for Semi-supervised Segmentation with Bilateral Graph Convolution.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Graph-BAS<sup>3</sup>Net: Boundary-Aware Semi-Supervised Segmentation Network with Bilateral Graph Convolution.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Graph-Based Pyramid Global Context Reasoning With a Saliency- Aware Projection for Covid-19 Lung Infections Segmentation.
Proceedings of the IEEE International Conference on Acoustics, 2021

2020
WNET: An End-to-End Atlas-Guided and Boundary-Enhanced Network for Medical Image Segmentation.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

UNet 3+: A Full-Scale Connected UNet for Medical Image Segmentation.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020


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