A desktop application built with Python to provide an intuitive, animated visualization of discrete and continuous time convolution and correlation. This tool is designed for students, educators, and ...

CNNs are useful for a handful of applications that concern computer vision. It is used in image classification, object detection and style transfer, for instance. Below, you can see an example of ...

In the previous episodes of this AI on Edge journey, we have done something exciting. We built real applications directly on our smartphones. We created image classification apps. We implemented ...

Point Cloud can be considered as non-Euclidean structure data since it is disordered and irregular. When training on point cloud, it is difficult to apply spatial discrete convolution directly. In ...

Abstract: Discriminant correlation filters (DCF) have proven to perform well in visual tracking. However, the underlying discriminant correlation filter only utilizes the single-resolution features of ...

% A self-contained MATLAB GUI for teaching graphical convolution. % Runs in MATLAB R2023a or newer. No external files or toolboxes required. fig = uifigure('Name ...

Abstract: Irregular event streams are common in domains such as finance, healthcare, and e-commerce, where the underlying data-generating processes are often highly complex and vary widely in scale.

In recent years, the pyramid-based encoder-decoder network architecture has become a popular solution to the problem of large deformation image registration due to its excellent multi-scale ...

In a lecture example, we used the convolution integral approach to study the response of an undamped oscillator excited by the rectangular pulse shown below. Here we will apply the graphical ...