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 20 papers between 2020 and 2024.

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

Timeline

Legend:

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Bibliography

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

2023
Domain Adaptive Synapse Detection with Weak Point Annotations.
CoRR, 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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