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 …

Most current RGB-T trackers adopt a two-stream structure to extract unimodal RGB and
thermal features and complex fusion strategies to achieve multi-modal feature fusion, which …

Pedestrian detection remains a critical problem in various domains, such as computer
vision, surveillance, and autonomous driving. In particular, accurate and instant detection of …

Timely and effective search and rescue (SAR) is highly desired in the disaster rescues.
Unmanned aerial vehicles (UAVs) can quickly conduct aerial searches to assist SAR with …

Multi-modal information (eg, visible and thermal) can generate reliable and robust
pedestrian detection results in various computer vision applications. Despite its broad …

Recent research demonstrates that the fusion of multimodal images can improve the
performance of pedestrian detectors under low-illumination environments. However, existing …

Multispectral pedestrian detection has achieved great success in past years, which can be
used in autonomous driving for intelligent transportation system. Most existing multispectral …

Thermal infrared (TIR) object detection plays a crucial role in diverse around-the-clock
applications, such as search-and-rescue operations and wildlife protection. Achieving rapid …

Most recent multispectral object detectors employ a two-branch structure to extract features
from RGB and thermal images. While the two-branch structure achieves better performance …

The aftermath of a natural disaster leaves victims trapped in rubble which is challenging to
detect by smart drones due to the victims in low visibility under the adverse disaster …