Monocular depth estimation from Red-Green-Blue (RGB) images is a well-studied ill-posed
problem in computer vision which has been investigated intensively over the past decade …

Estimating depth from single RGB images and videos is of widespread interest due to its
applications in many areas, including autonomous driving, 3D reconstruction, digital …

Recently, the ever-increasing capacity of large-scale annotated datasets has led to profound
progress in stereo matching. However, most of these successes are limited to a specific …

As an essential component for many autonomous driving and robotic activities such as ego-
motion estimation, obstacle avoidance and scene understanding, monocular depth …

Abstract 3D building reconstruction from monocular remote sensing images is an important
and challenging research problem that has received increasing attention in recent years …

In stereo matching, various learning-based approaches have shown impressive
performance in solving traditional difficulties on multiple datasets. While most progress is …

View-synthesis-based methods have shown very promising results for the task of
unsupervised depth estimation in single images. Most existing approaches synthesize a …

Monocular depth inference is a fundamental problem for scene perception of robots. Specific
robots may be equipped with a camera plus an optional depth sensor of any type and …

Abstract Design automation is a core technology in industrial design software and an
important branch of knowledge-worker automation. For example, electronic design …

With the integration of renewable energy, pumped storage, and new energy storage into
multi-area integrated energy systems, the generation control of multi-area integrated energy …