Wei Huang

Orcid: 0000-0001-7513-3105

Affiliations:
  • University of Science and Technology of China, National Engineering Laboratory for Brain-Inspired Intelligence Technology and Application, Hefei, China


According to our database1, Wei Huang authored at least 24 papers between 2020 and 2024.

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

Timeline

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Bibliography

2024
WASPSYN: A Challenge for Domain Adaptive Synapse Detection in Microwasp Brain Connectomes.
IEEE Trans. Medical Imaging, November, 2024

Graph Relation Distillation for Efficient Biomedical Instance Segmentation.
CoRR, 2024

Joint EM Image Denoising and Segmentation with Instance-Aware Interaction.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Domain Adaptive Synapse Detection with Weak Point Annotations.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

Learning Multiscale Consistency for Self-Supervised Electron Microscopy Instance Segmentation.
Proceedings of the IEEE International Conference on Acoustics, 2024

Learning Large-Factor EM Image Super-Resolution with Generative Priors.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
Learning Multiscale Consistency for Self-supervised Electron Microscopy Instance Segmentation.
CoRR, 2023

Generative Text-Guided 3D Vision-Language Pretraining for Unified Medical Image Segmentation.
CoRR, 2023

Class-Aware Feature Alignment for Domain Adaptative Mitochondria Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Self-Supervised Neuron Segmentation with Multi-Agent Reinforcement Learning.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

PCTrans: Position-Guided Transformer with Query Contrast for Biological Instance Segmentation.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Learning Cross-Representation Affinity Consistency for Sparsely Supervised Biomedical Instance Segmentation.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

A Soma Segmentation Benchmark in Full Adult Fly Brain.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Learning Steerable Function for Efficient Image Resampling.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Style Projected Clustering for Domain Generalized Semantic Segmentation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Semi-Supervised Neuron Segmentation via Reinforced Consistency Learning.
IEEE Trans. Medical Imaging, 2022

A Unified Deep Learning Framework for ssTEM Image Restoration.
IEEE Trans. Medical Imaging, 2022

Efficient Biomedical Instance Segmentation via Knowledge Distillation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Domain Adaptive Mitochondria Segmentation via Enforcing Inter-Section Consistency.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Advanced Deep Networks for 3d Mitochondria Instance Segmentation.
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

Biological Instance Segmentation with a Superpixel-Guided Graph.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Learning to Model Pixel-Embedded Affinity for Homogeneous Instance Segmentation.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Learning Neuron Stitching for Connectomics.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

2020
Learning to Restore ssTEM Images from Deformation and Corruption.
Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020


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