Abstract: Point clouds data acquisition is increasingly important over these years because of its wide applications such as autonomous driving, robotics, virtual reality, and medical treatment. Deep ...

Abstract: In industry 4.0-related applications such as UAVs, autonomous driving, remote sensing, and navigation, environmental perception based on large-scene point clouds plays a crucial role.

Classification of benthic habitats in the deep sea is instrumental in managing and monitoring marine ecosystems as it provides distinct units for which changes can be quantified over time. These ...

A point cloud is a set of data points in space. The points may represent a 3D shape or object. Introduction Classification, detection and segmentation of unordered 3D point sets i.e. point clouds is a ...

Overview In this assignment, you will implement a PointNet based architecture for classification and segmentation with point clouds (you don't need to worry about the tranformation blocks). Q1 and Q2 ...

IN an essay on the “Modifications of Clouds, read to the Askesian Society in 1802, Howard first proposed his classification of clouds, which has since been the generally received authority on the ...

As one who has been engaged for nearly forty years in working up the materials for a monograph on clouds, I suppose I deserve the name of a “specialist in clouds” as much as any one. Yet I decline, ...

In spite of the recent advancement of machine learning research, modern machine learning systems are still far from easy to use, at least from the perspective of business users or even scientists ...

Space to play or pause, M to mute, left and right arrows to seek, up and down arrows for volume. A cloud never seems to be just a cloud. When we’re lying on our backs in the grass on a summer's day, ...