This paper reviews big data and Internet of Things (IoT)-based applications in smart
environments. The aim is to identify key areas of application, current trends, data …

Abstract RGB-Thermal infrared (RGB-T) image analysis has been actively studied in recent
years. In the past decade, it has received wide attention and made a lot of important …

In humans, Attention is a core property of all perceptual and cognitive operations. Given our
limited ability to process competing sources, attention mechanisms select, modulate, and …

Multispectral pedestrian detection is capable of adapting to insufficient illumination
conditions by leveraging color-thermal modalities. On the other hand, it is still lacking of in …

The combination of infrared and visible videos aims to gather more comprehensive feature
information from multiple sources and reach superior results on various practical tasks, such …

Multispectral image pairs can provide the combined information, making object detection
applications more reliable and robust in the open world. To fully exploit the different …

Cross-modality fusing complementary information of multispectral remote sensing image
pairs can improve the perception ability of detection algorithms, making them more robust …

Multispectral image pairs can provide complementary visual information, making pedestrian
detection systems more robust and reliable. To benefit from both RGB and thermal IR …

Pedestrian detection is an important but challenging problem in computer vision, especially
in human-centric tasks. Over the past decade, significant improvement has been witnessed …

Object detection with multimodal inputs can improve many safety-critical systems such as
autonomous vehicles (AVs). Motivated by AVs that operate in both day and night, we study …