Image inpainting is a challenging problem with a wide range of applications such as object
removal and old photo restoration. The methods based on low-rank sparse prior have been …

In real-world environments, ranging from urban disastrous scenes to underground mining
tunnels, autonomous mobile robots are being deployed in harsh and cluttered …

Objective. Three-dimensional (3D) ultrasound (US) is needed to provide sonographers with
a more intuitive panoramic view of the complex anatomical structure, especially the …

Complete face recovering (CFR) is to recover the face image of a given partial face image of
a target person whose photo may not be included in the gallery set. CFR has several …

Here, we present HelixDiff, a score-based diffusion model for generating all-atom helical
structures. We developed a hot spot-specific generation algorithm for the conditional design …

Lake morphometric features like surface area, volume, mean, and maximum depth are
important predictors of many physical, biological, and ecological processes. Lake …

DLSIA (Deep Learning for Scientific Image Analysis) is a Python-based machine learning
library that empowers scientists and researchers across diverse scientific domains with a …

Robust and accurate detection and segmentation of heterogenous tumors appearing in
different anatomical organs with supervised methods require large-scale labeled datasets …

针对基于低秩先验的图像矩阵补全算法无法有效处理结构性缺失图像修复的问题,
建立了在观测矩阵上使用双重先验的矩阵补全模型, 在低秩先验的基础上引入稀疏先验 …

In situ measurements are the most important basis of obtaining precise meteorological
datasets. However, it is difficult to accurately extrapolate the plausible meteorological field in …