A prism is a 3D shape which has a constant cross section - both ends of the solid are the same shape and anywhere you cut parallel to these ends will give you the same shape. For example, in the prism ...

Abstract: Convolutional neural network has been widely used in fault diagnosis of mechanical devices. In particular, a 2-D convolutional neural network requires manual selection of multiscale ...

Abstract: Dynamic 3D point cloud sequences serve as one of the most common and practical representation modalities of dynamic real-world environments. However, their unstructured nature in both ...

Based on this paper, this repository is my own implementation of a HSHG for 1D, 2D, and 3D, easily expandable to higher dimensions. The paper was initially used as a skeleton to then improve upon. As ...

Abstract: A diffusion model learns to predict a vector field of gradients. We propose to apply chain rule on the learned gradients, and back-propagate the score of a diffusion model through the ...