Search Results for author:
Found 3 papers, 2 papers with code
Edge Preserving Implicit Surface Representation of Point Clouds
Among them, the differential Laplican regularizer can effectively alleviate the implicit surface unsmoothness caused by the point cloud quality deteriorates; Meanwhile, in order to reduce the excessive smoothing at the edge regions of implicit suface, we proposed a dynamic edge extract strategy for sampling near the sharp edge of point cloud, which can effectively avoid the Laplacian regularizer from smoothing all regions.
PCB-RandNet: Rethinking Random Sampling for LIDAR Semantic Segmentation in Autonomous Driving Scene
Fast and efficient semantic segmentation of large-scale LiDAR point clouds is a fundamental problem in autonomous driving.
LKD-Net: Large Kernel Convolution Network for Single Image Dehazing
The designed DLKCB can split the deep-wise large kernel convolution into a smaller depth-wise convolution and a depth-wise dilated convolution without introducing massive parameters and computational overhead.
