3 citations · 6 across the 10 of their papers we have counts for
10 papers
Self-Calibrating Dense Displacement Fields for Reliable Co-Registration of Large Optical Satellite Imagery
Shoukun Sun, Zhe Wang, Sanaz Salati +3
Co-registration underlies nearly every multi-temporal and multi-sensor use of optical satellite imagery, and operational products still carry documented offsets well above the frac…
UA-Net: Uncertainty-Aware Network for TRISO Image Semantic Segmentation
Kyle Lucke, Zuzanna Krajewska-Travar, Shoukun Sun +3
Tristructural isotropic (TRISO)-coated particle fuels undergo dimensional changes and chemical reactions during high-temperature neutron irradiation. Post-irradiation materialograp…
InfScene-SR: Seamless Super-Resolution of Arbitrarily Large Remote-Sensing Scenes via Variance-Preserving Joint Denoising
Shoukun Sun, Zhe Wang, Xiang Que +2
Diffusion models now give the best perceptual quality in super-resolution (SR), but their architecture and training confine them to small fixed crops. Operational remote sensing ne…
RU-Net for Automatic Characterization of TRISO Fuel Cross Sections
Lu Cai, Fei Xu, Min Xian +3
During irradiation, phenomena such as kernel swelling and buffer densification may impact the performance of tristructural isotropic (TRISO) particle fuel. Post-irradiation microsc…
Guided and Variance-Corrected Fusion with One-shot Style Alignment for Large-Content Image Generation
Shoukun Sun, Min Xian, Tiankai Yao +2
Producing large images using small diffusion models is gaining increasing popularity, as the cost of training large models could be prohibitive. A common approach involves jointly…
Causality Extraction from Nuclear Licensee Event Reports Using a Hybrid Framework
Shahidur Rahoman Sohag, Sai Zhang, Min Xian +3
Industry-wide nuclear power plant operating experience is a critical source of raw data for performing parameter estimations in reliability and risk models. Much operating experien…
Deep learning-based interactive segmentation in remote sensing
Zhe Wang, Shoukun Sun, Xiang Que +2
Interactive segmentation, a computer vision technique where a user provides guidance to help an algorithm segment a feature of interest in an image, has achieved outstanding accura…
CFR-ICL: Cascade-Forward Refinement with Iterative Click Loss for Interactive Image Segmentation
Shoukun Sun, Min Xian, Fei Xu +2
The click-based interactive segmentation aims to extract the object of interest from an image with the guidance of user clicks. Recent work has achieved great overall performance b…
An Efficient Instance Segmentation Approach for Extracting Fission Gas Bubbles on U-10Zr Annular Fuel
Shoukun Sun, Fei Xu, Lu Cai +5
U-10Zr-based nuclear fuel is pursued as a primary candidate for next-generation sodium-cooled fast reactors. However, more advanced characterization and analysis are needed to form…
MIRST-DM: Multi-Instance RST with Drop-Max Layer for Robust Classification of Breast Cancer
Shoukun Sun, Min Xian, Aleksandar Vakanski +1
Robust self-training (RST) can augment the adversarial robustness of image classification models without significantly sacrificing models' generalizability. However, RST and other…