18 citations · 39 across the 16 of their papers we have counts for
16 papers
AwakeForest: An Interactive Geospatial Platform for Large-Scale Forest Imagery
Suraj Prasai, Kangning Cui, Rongkun Zhu +5
Forest imagery analysis often involves multiple tightly coupled vision tasks, which must be performed under substantial variation in geographic regions, sensors, and acquisition co…
ELDOR: A Dataset and Benchmark for Illegal Gold Mining in the Amazon Rainforest
Kangning Cui, Surendra Bohara, Suraj Prasai +12
Illegal gold mining in the Amazon rainforest causes deforestation, water contamination, and long-term ecosystem disruption, yet remains difficult to monitor at fine spatial scales.…
Blind Restoration of High-Resolution Ultrasound Video
Chu Chen, Kangning Cui, Pasquale Cascarano +3
Ultrasound imaging is widely applied in clinical practice, yet ultrasound videos often suffer from low signal-to-noise ratios (SNR) and limited resolutions, posing challenges for d…
Detection and Geographic Localization of Natural Objects in the Wild: A Case Study on Palms
Kangning Cui, Rongkun Zhu, Manqi Wang +9
Palms are ecologically and economically indicators of tropical forest health, biodiversity, and human impact that support local economies and global forest product supply chains. W…
Bilateral Signal Warping for Left Ventricular Hypertrophy Diagnosis
Wei Tang, Kangning Cui, Raymond H. Chan +1
Left Ventricular Hypertrophy (LVH) is a major cardiovascular risk factor, linked to heart failure, arrhythmia, and sudden cardiac death, often resulting from chronic stress like hy…
Real-Time Localization and Bimodal Point Pattern Analysis of Palms Using UAV Imagery
Kangning Cui, Wei Tang, Rongkun Zhu +12
Understanding the spatial distribution of palms within tropical forests is essential for effective ecological monitoring, conservation strategies, and the sustainable integration o…
PalmProbNet: A Probabilistic Approach to Understanding Palm Distributions in Ecuadorian Tropical Forest via Transfer Learning
Kangning Cui, Zishan Shao, Gregory Larsen +8
Palms play an outsized role in tropical forests and are important resources for humans and wildlife. A central question in tropical ecosystems is understanding palm distribution an…
Superpixel-based and Spatially-regularized Diffusion Learning for Unsupervised Hyperspectral Image Clustering
Kangning Cui, Ruoning Li, Sam L. Polk +5
Hyperspectral images (HSIs) provide exceptional spatial and spectral resolution of a scene, crucial for various remote sensing applications. However, the high dimensionality, prese…
A Global and Patch-wise Contrastive Loss for Accurate Automated Exudate Detection
Wei Tang, Kangning Cui, Raymond H. Chan
Diabetic retinopathy (DR) is a leading global cause of blindness. Early detection of hard exudates plays a crucial role in identifying DR, which aids in treating diabetes and preve…
Dual-View Selective Instance Segmentation Network for Unstained Live Adherent Cells in Differential Interference Contrast Images
Fei Pan, Yutong Wu, Kangning Cui +9
Despite recent advances in data-independent and deep-learning algorithms, unstained live adherent cell instance segmentation remains a long-standing challenge in cell image process…
Semi-supervised Change Detection of Small Water Bodies Using RGB and Multispectral Images in Peruvian Rainforests
Kangning Cui, Seda Camalan, Ruoning Li +7
Artisanal and Small-scale Gold Mining (ASGM) is an important source of income for many households, but it can have large social and environmental effects, especially in rainforests…
Unsupervised Spatial-spectral Hyperspectral Image Reconstruction and Clustering with Diffusion Geometry
Kangning Cui, Ruoning Li, Sam L. Polk +3
Hyperspectral images, which store a hundred or more spectral bands of reflectance, have become an important data source in natural and social sciences. Hyperspectral images are oft…
Unsupervised detection of ash dieback disease (Hymenoscyphus fraxineus) using diffusion-based hyperspectral image clustering
Sam L. Polk, Aland H. Y. Chan, Kangning Cui +3
Ash dieback (Hymenoscyphus fraxineus) is an introduced fungal disease that is causing the widespread death of ash trees across Europe. Remote sensing hyperspectral images encode ri…
Classification of Hyperspectral Images Using SVM with Shape-adaptive Reconstruction and Smoothed Total Variation
Ruoning Li, Kangning Cui, Raymond H. Chan +1
In this work, a novel algorithm called SVM with Shape-adaptive Reconstruction and Smoothed Total Variation (SaR-SVM-STV) is introduced to classify hyperspectral images, which makes…
Active Diffusion and VCA-Assisted Image Segmentation of Hyperspectral Images
Sam L. Polk, Kangning Cui, Robert J. Plemmons +1
Hyperspectral images encode rich structure that can be exploited for material discrimination by machine learning algorithms. This article introduces the Active Diffusion and VCA-As…
Unsupervised Diffusion and Volume Maximization-Based Clustering of Hyperspectral Images
Sam L. Polk, Kangning Cui, Aland H. Y. Chan +3
Hyperspectral images taken from aircraft or satellites contain information from hundreds of spectral bands, within which lie latent lower-dimensional structures that can be exploit…