Crowd counting is a fundamental yet challenging task, which desires rich information to
generate pixel-wise crowd density maps. However, most previous methods only used the …

Trajectory computing is a pivotal domain encompassing trajectory data management and
mining, garnering widespread attention due to its crucial role in various practical …

Accurate road networks are of great importance to online food delivery (OFD) services. In
recent years, various data sources have been used to extract road information. Remote …

The space industry experiences a rise in low-Earth-orbit satellite mega-constellations to
achieve universal connectivity. At the same time, cloud firms (such as Google, Microsoft, and …

Most existing crowd counting approaches use limited information of RGB (red–green–blue)
images and fail to suitably extract potential pedestrians in unconstrained scenarios …

Road extraction is a process of automatically generating road maps mainly from satellite
images. Existing models all target to generate roads from the scratch despite that a large …

The task of road extraction has aroused remarkable attention due to its critical role in
facilitating urban development and up-to-date map maintenance, which has widespread …

Road detection based on convolutional neural networks (CNNs) has achieved remarkable
performances for very high resolution (VHR) remote sensing images. However, this …

Travel recommendation aims to infer travel intentions of users by analyzing their historical
behaviors on Online Travel Agencies (OTAs). However, crucial keywords in clicked travel …

Convolutional Neural Network (CNN) provides leverage to extract and fuse features from all
layers of its architecture. However, extracting and fusing intermediate features from different …