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 …

With the prevalence of thermal cameras, RGB-T multi-modal data have become more
available for salient object detection (SOD) in complex scenes. Most RGB-T SOD works first …

RGB-thermal salient object detection (RGB-T SOD) has unique advantages in terms of
handling challenging scenes with cluttered backgrounds, low illumination, and low contrast …

RGB-T salient object detection (SOD) has been developed rapidly and achieved excellent
results in recent years. However, some problems have not yet been solved. The current RGB …

Existing salient object detection methods are capable of predicting binary maps that
highlight visually salient regions. However, these methods are limited in their ability to …

In RGB-T salient object detection, effective utilization of the different characteristics of RGB
and thermal modalities is essential to achieve accurate detection. Most of the previous …

In this paper, we make the first research effort to address the RGB-Thermal (RGB-T) crowd
counting problem with the decision-level late fusion manner. Being different from the existing …

The rotation characteristics of point clouds are challenging to capture in current multimodal
fusion methods for 3D object detection. A single fusion method cannot well balance the …

Salient object detection in optical remote sensing images (RSI-SOD) faces significant
challenges due to the unique characteristics of RSI imaging. Existing methods heavily rely …

Hand gesture recognition is a vital means of communication to convey information between
humans and machines. We propose a novel model for hand gesture recognition based on …