The continual improvement of 3D sensors has driven the development algorithms to perform point cloud analysis. In fact, techniques for classification and segmentation have in recent years achieved incredible performance part by leveraging large synthetic datasets. Unfortunately these same state-of-the-art approaches poorly when applied incomplete clouds. This limitation existing is particularly...

The recently developed pure transformer architectures have attained promising accuracy on point cloud learning benchmarks compared to convolutional neural networks. However, existing Transformers are computationally expensive because they waste a significant amount of time structuring irregular data. To solve this shortcoming, we present the Sparse Window Attention module gather coarse-grained ...

A remotely pumped Erbium-doped system for the amplification of an optical signal long-reach (LR) next-generation passive networks (NG-PONs) is presented in this paper. The will be deployed with/over current point to multi-point technology with/without backward compatibility. Remote pumping allows extending reach distribution and magnification splitting ratio as well, which most important increa...