5 accepted papers
Arbitrary style transfer (AST), a popular AI-powered photo editing function, aims to strike an optimal balance between content and style injection from two images in order to generate a novel high-fidelity stylised image. Recently, diffusion models have been applied to AST due to their high generati
The rise of vision-language models (VLMs) has driven the initial exploration of open-vocabulary remote sensing image semantic segmentation (OVRSIS), enabling recognition of unseen categories in complex Earth observation scenes. However, existing methods primarily focus on enhancing visual representa
LiDAR point cloud data is widely utilized in autonomous driving systems and has significantly improved the 3D detection performance with well-designed deep neural network models. However, due to the complexity of real-world environments and model vulnerability, false detections or malicious attacks…
LiDAR sensors have been extensively used in numerous applications, including autonomous driving, owing to their ability to generate high-quality 3D point clouds. However, the sensor can be greatly affected in adverse weather conditions, resulting in noisy 3D points that impair LiDAR-based perception
With the Internet of Things continuously penetrating into all spheres of our daily lives, the increasing use of smart devices enabled the emergence of the edge computing paradigm. To meet the needs of saving energy and reducing electricity bills for each household, solar energy is exploited by using…