Image-guided depth completion aims to generate dense maps with sparse measurements and corresponding RGB images. Currently, spatial propagation networks (SPNs) are the most popular affinity-based methods in completion, but they still suffer from representation limitation of fixed affinity over smoothing during iterations. Our solution is estimate independent matrices each SPN iteration, it over...

Maintenance procedures for complex engineering systems are increasingly determined by predictive algorithms based on historic data, experience and knowledge. Such data knowledge is accompanied varying degrees of uncertainty which impact equipment availability, turnaround time unforeseen costs throughout the system life cycle. Once quantified, these uncertainties call robust forecasting to facil...