Abstract: Diffusion models indirectly estimate the probability density over a data space, which can be used to study its structure. In this work, we show that geodesics can be computed in diffusion ...

Abstract: Convolution is fundamental in digital signal processing across many applications. Existing works enable N-point linear convolution via N-point right-angle circular convolution (RCC) based on ...

Probability theory describes the likelihood of different outcomes or distinct results from chance processes (sometimes referred to as experiments.) The set of all the possible outcomes of an ...

LiDAR point cloud semantic segmentation enables the robots to obtain fine-grained semantic information of the surrounding environment. Recently, many works project the point cloud onto the 2D image ...

InternImage: Exploring Large-Scale Vision Foundation Models with Deformable Convolutions. InternImage is an advanced vision foundation model developed by researchers from Shanghai AI Laboratory, ...

The stochastic nature of renewable energy sources (RESs) necessitates treating power system frequency response as a random process with a nonstationary probability density function (PDF). Based upon ...

What is probability? The probability of an event is the proportion of times the event occurs out of a large number of trials. For instance, the probability of obtaining heads when a coin is tossed is ...