Zixun Huang

Orcid: 0000-0002-0930-4276

According to our database1, Zixun Huang authored at least 13 papers between 2020 and 2023.

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

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2023
Spatial-Temporal Graphs Plus Transformers for Geometry-Guided Facial Expression Recognition.
IEEE Trans. Affect. Comput., 2023

Geometry-Aware Facial Expression Recognition via Attentive Graph Convolutional Networks.
IEEE Trans. Affect. Comput., 2023

Jenga Stacking Based on 6D Pose Estimation for Architectural Form Finding Process.
CoRR, 2023

Can Machine Learning Uncover Insights into Vehicle Travel Demand from Our Built Environment?
CoRR, 2023

Robust Digital-Twin Localization via An RGBD-based Transformer Network and A Comprehensive Evaluation on a Mobile Dataset.
CoRR, 2023

MARL: Multi-scale Archetype Representation Learning for Urban Building Energy Modeling.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

A Structure-Affinity Dual Attention-based Network to Segment Spine for Scoliosis Assessment.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

2022
Joint Spine Segmentation and Noise Removal From Ultrasound Volume Projection Images With Selective Feature Sharing.
IEEE Trans. Medical Imaging, 2022

2021
VerSe: A Vertebrae labelling and segmentation benchmark for multi-detector CT images.
Medical Image Anal., 2021

Dual-task ultrasound spine transverse vertebrae segmentation network with contour regularization.
Comput. Medical Imaging Graph., 2021

DA-GAN: Learning Structured Noise Removal In Ultrasound Volume Projection Imaging For Enhanced Spine Segmentation.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

Structure-Enhanced Attentive Learning For Spine Segmentation From Ultrasound Volume Projection Images.
Proceedings of the IEEE International Conference on Acoustics, 2021

2020
Bone Feature Segmentation in Ultrasound Spine Image with Robustness to Speckle and Regular Occlusion Noise.
Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020


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