Wankang Zeng

According to our database1, Wankang Zeng authored at least 14 papers between 2020 and 2024.

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

Timeline

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Links

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Bibliography

2024
Domain adaptive remote sensing image semantic segmentation with prototype guidance.
Neurocomputing, 2024

Density-guided Translator Boosts Synthetic-to-Real Unsupervised Domain Adaptive Segmentation of 3D Point Clouds.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
Prototype-Guided Multitask Adversarial Network for Cross-Domain LiDAR Point Clouds Semantic Segmentation.
IEEE Trans. Geosci. Remote. Sens., 2023

Novel Convolutions for Semantic Segmentation of Remote Sensing Images.
IEEE Trans. Geosci. Remote. Sens., 2023

Spatial Adaptive Fusion Consistency Contrastive Constraint: Weakly Supervised Building Facade Point Cloud Semantic Segmentation.
IEEE Trans. Geosci. Remote. Sens., 2023

Multistage Scene-Level Constraints for Large-Scale Point Cloud Weakly Supervised Semantic Segmentation.
IEEE Trans. Geosci. Remote. Sens., 2023

2022
Contrastive Translation Learning For Medical Image Segmentation.
Proceedings of the IEEE International Conference on Acoustics, 2022

2021
Robotically Surgical Vessel Localization Using Robust Hybrid Video Motion Magnification.
IEEE Robotics Autom. Lett., 2021

Towards cascaded V-Net for automatic accurate kidney segmentation from abdominal CT images.
Proceedings of the Medical Imaging 2021: Image Processing, Online, February 15-19, 2021, 2021

A new Eulerian temporal filtering method for boosting endoscopic video motion magnification.
Proceedings of the Medical Imaging 2021: Image-Guided Procedures, 2021

Abdominal CT urography kidney segmentation using spatiotemporal fully convolutional network.
Proceedings of the Medical Imaging 2021: Computer-Aided Diagnosis, 2021

Accurate 3d Kidney Segmentation Using Unsupervised Domain Translation And Adversarial Networks.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

Automatic Recognition of Ocular Surface Diseases on Smartphone Images Using Densely Connected Convolutional Networks.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

2020
A sub-pixel image registration algorithm based on SURF and M-estimator sample consensus.
Pattern Recognit. Lett., 2020


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