Multi-modal fusion is increasingly being used for autonomous driving tas...
Noise has always been nonnegligible trouble in object detection by creat...
With rising concerns about privacy, developing recommendation systems in...
3D Multi-object tracking (MOT) ensures consistency during continuous dyn...
In recent years, interest has arisen in using machine learning to improv...
Prediction of material property is a key problem because of its signific...
A variety of modern applications exhibit multi-view multi-label learning...
Due to the high complexity and occlusion, insufficient perception in the...
There has recently been growing interest in utilizing multimodal sensors...
To address the problem of online automatic inspection of drug liquid bot...
State-of-the-art deep learning based stereo matching approaches treat
di...
Cloud detection is an important preprocessing step for the precise
appli...
Remote sensing images often suffer from cloud cover. Cloud removal is
re...
The wide field of view (WFV) imaging system onboard the Chinese GaoFen-1...