This article presents a comprehensive survey of deep learning applications for object
detection and scene perception in autonomous vehicles. Unlike existing review papers, we …

In the past two decades, structural health monitoring (SHM) systems have been widely
installed on various civil infrastructures for the tracking of the state of their structural health …

Molecule docking has been regarded as a routine tool for drug discovery, but its accuracy
highly depends on the reliability of scoring functions (SFs). With the rapid development of …

3D semantic segmentation is a fundamental task for robotic and autonomous driving
applications. Recent works have been focused on using deep learning techniques, whereas …

The proliferation of technologies, such as extended reality (XR), has increased the demand
for high-quality three-dimensional (3D) graphical representations. Industrial 3D applications …

日常安全巡检是维护长距离调水工程安全运行的重要手段. 目前巡检采集的非结构化文本数据
主要依靠人工进行安全等级评判, 在工作效率和准确率方面存在明显不足. 本研究基于自然语言 …

Blockchain (BC) and Computer Vision (CV) are the two emerging fields with the potential to
transform various sectors. BC can offer decentralized and secure data storage, while CV …

Building on several decades of research and development, the recent progress in virtual
reality (VR) and augmented reality (AR) devices with spatial computing technologies marks …

This review paper focuses on the progress of deep learning-based methods for multi-view
3D object recognition. It covers the state-of-the-art techniques in this field, specifically those …

Post-earthquake inspection of structures based on computer vision is developing rapidly
due to the advantages of high efficiency and without manual feature extraction. However, it …