Significant advances have been achieved in object detection techniques using visible
images for applications that include military operations, autonomous driving, and security …

Pedestrian detection is a core problem in computer vision that sees broad application in
video surveillance and, more recently, in advanced driving assistance systems. Despite its …

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

Multispectral images consisting of aligned visual-optical (VIS) and thermal infrared (IR)
image pairs are well-suited for practical applications like autonomous driving or visual …

Infrared (IR) and visible images are heterogeneous data, and their fusion is one of the
important research contents in the remote sensing field. In the last decade, deep networks …

Pedestrian detection is a canonical problem for safety and security applications, and it
remains a challenging problem due to the highly variable lighting conditions in which …

In this paper we propose a method for improving pedestrian detection in the thermal domain
using two stages: first, a generative data augmentation approach is used, then a domain …

Thermal cameras are popular in detection for their precision in surveillance in the dark and
for privacy preservation. In the era of data driven problem solving approaches, manually …

In this paper we propose a novel data augmentation approach for visual content domains
that have scarce training datasets, compositing synthetic 3D objects within real scenes. We …

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