Abstract: The current mainstream research on color-thermal (i.e., RGB-T) object detection assumes that the RGB and thermal images are strictly aligned. However, in practical situations, due to the ...

DECATURVILLE, Tenn. (WSMV) - Two missing children with autism were found safe Friday afternoon using thermal imaging drones, according to the Decatur County Sheriff’s Office. DCSO said deputies and a ...

This repository provides code and workflows to test several state-of-the-art vehicle detection deep learning algorithms —including YOLOX, SalsaNext, RandLA-Net, and VoxelRCNN— on a Flash Lidar dataset ...

Researchers at Google’s Threat Intelligence Group (GTIG) have discovered that hackers are creating malware that can harness the power of large language models (LLMs) to rewrite itself on the fly. An ...

S3OD is a large-scale fully synthetic dataset for salient object detection and background removal, with 140K high-quality images generated using diffusion models. Our model, trained on large-scale ...

UD's Signal and Image Processing Lab is designed to support graduate and undergraduate research in the areas of signal and image processing. The lab provides office space for graduate students and has ...

I asked my editors if I could go work at a tech startup. It was an unusual request. But I wanted to learn to vibe-code. My need to know felt urgent. I wanted to survive the future. The pitch process ...

Traffic monitoring plays a vital role in smart city infrastructure, road safety, and urban planning. Traditional detection systems, including earlier deep learning models, often struggle with ...

Scientists from the federally funded Argonne National Laboratory in Illinois and the University of Virginia have developed a new approach for detecting defects in metal parts produced by 3D printing.