Kangning Cui

Orcid: 0000-0002-1856-5064

According to our database1, Kangning Cui authored at least 15 papers between 2021 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Links

Online presence:

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Bibliography

2024
Superpixel-Based and Spatially Regularized Diffusion Learning for Unsupervised Hyperspectral Image Clustering.
IEEE Trans. Geosci. Remote. Sens., 2024

Accurate detection and instance segmentation of unstained living adherent cells in differential interference contrast images.
Comput. Biol. Medicine, 2024

Optimized Hard Exudate Detection with Supervised Contrastive Learning.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

PalmProbNet: A Probabilistic Approach to Understanding Palm Distributions in Ecuadorian Tropical Forest via Transfer Learning.
Proceedings of the 2024 ACM Southeast Conference, 2024

2023
Unsupervised Diffusion and Volume Maximization-Based Clustering of Hyperspectral Images.
Remote. Sens., February, 2023

A Global and Patch-wise Contrastive Loss for Accurate Automated Exudate Detection.
CoRR, 2023

Dual-View Selective Instance Segmentation Network for Unstained Live Adherent Cells in Differential Interference Contrast Images.
CoRR, 2023

2022
Change Detection of Amazonian Alluvial Gold Mining Using Deep Learning and Sentinel-2 Imagery.
Remote. Sens., 2022

Diffusion and Volume Maximization-Based Clustering of Highly Mixed Hyperspectral Images.
CoRR, 2022

Unsupervised Spatial-Spectral Hyperspectral Image Reconstruction And Clustering With Diffusion Geometry.
Proceedings of the 12th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing, 2022

Semi-Supervised Change Detection Of Small Water Bodies Using Rgb And Multispectral Images In Peruvian Rainforests.
Proceedings of the 12th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing, 2022

Active Diffusion and VCA-Assisted Image Segmentation of Hyperspectral Images.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

Unsupervised Detection of ASH Dieback Disease (Hymenoscyphus Fraxineus) Using Diffusion-Based Hyperspectral Image Clustering.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

Classification of Hyperspectral Images Using SVM with Shape-Adaptive Reconstruction and Smoothed Total Variation.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

2021
Unsupervised Classification of Aviris-NG Hyperspectral Images.
Proceedings of the 11th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing, 2021


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