This paper addresses a near-field imaging problem utilizing extremely large-scale multiple-
input multiple-output (XL-MIMO) antennas and reconfigurable intelligent surfaces (RISs) …

For autonomous vehicles (AVs), visual perception techniques based on sensors like
cameras play crucial roles in information acquisition and processing. In various computer …

Point cloud registration is a fundamental technique in 3-D computer vision with applications
in graphics, autonomous driving, and robotics. However, registration tasks under …

In recent years, algorithm unrolling has emerged as a powerful technique for designing
interpretable neural networks based on iterative algorithms. Imaging inverse problems have …

Model-based deep learning methods such as\emph {loop unrolling}(LU) and\emph {deep
equilibrium model}(DEQ) extensions offer outstanding performance in solving inverse …

When dynamically collecting point cloud data with sensors for map reconstruction or
autonomous navigation, complex terrains often cause excessive sensor rotation angles …

Few-Shot 3D Point Cloud Semantic Segmentation (3D-FS) mitigates the issues of
insufficient data annotation and emerging new classes in real-world scenarios, but it totally …

The acquisition of clear images is a critical aspect in various fields including computer
vision, aerial detection, and medical imaging. The issue of image blur caused by object …