Existing deep learning-based depth completion methods generally employ massive stacked
layers to predict the dense depth map from sparse input data. Although such approaches …

Guided filter is a fundamental tool in computer vision and computer graphics, which aims to
transfer structure information from the guide image to the target image. Most existing …

Unsupervised domain adaption (UDA), which transfers knowledge from a labeled source
domain to an unlabeled target domain, has attracted tremendous attention in many machine …

LiDAR depth-only completion is a challenging task to estimate dense depth maps only from
sparse measurement points obtained by LiDAR. Even though the depth-only methods have …

Three-dimensional perception in intelligent virtual and augmented reality (VR/AR) and
autonomous vehicles (AV) applications is critical and attracting significant attention. The self …