Visual simultaneous localization and mapping (SLAM) systems face challen...
Recently, much progress has been made in unsupervised restoration learni...
Most real-time autonomous robot applications require a robot to traverse...
Lossy compression algorithms are typically designed to achieve the lowes...
An accurate and computationally efficient SLAM algorithm is vital for mo...
Blind image deblurring is a long standing challenging problem in image
p...
Matrix completion has attracted much interest in the past decade in mach...
Deep learning on point clouds has made a lot of progress recently. Many ...
This work addresses the outlier removal problem in large-scale global
st...