A Fast Point Cloud Ground Segmentation Approach Based on Block-Sparsely Connected Coarse-to-Fine Markov Random Field
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Robotics and Automation Letters"
DOI: 10.1109/lra.2025.3546071
Abstract: Ground segmentation is an essential preprocessing task for autonomous vehicles with 3D LiDARs. Nevertheless, current methods for ground segmentation fall short of achieving optimal performance, primarily hindered by under-segmentation, over-segmentation, slow-segmentation, and poor adaptability. This… read more here.
Keywords: segmentation; point cloud; ground segmentation; sparsely connected ... See more keywords
Refinement and Universal Approximation via Sparsely Connected ReLU Convolution Nets
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Signal Processing Letters"
DOI: 10.1109/lsp.2020.3005051
Abstract: We construct a highly regular and simple structured class of sparsely connected convolutional neural networks with rectifier activations that provide universal function approximation in a coarse-to-fine manner with increasing number of layers. The networks are… read more here.
Keywords: convolution; sparsely connected; universal approximation; refinement universal ... See more keywords
Sparsely Connected Autoencoders: A Multi-Purpose Tool for Single Cell omics Analysis
Sign Up to like & getrecommendations! Published in 2021 at "International Journal of Molecular Sciences"
DOI: 10.3390/ijms222312755
Abstract: Background: Biological processes are based on complex networks of cells and molecules. Single cell multi-omics is a new tool aiming to provide new incites in the complex network of events controlling the functionality of the… read more here.
Keywords: tool; single cell; cell; sparsely connected ... See more keywords