This repository provides the official implementation of the algorithms described in the paper "Small-Sample Independence Testing with Blum–Kiefer–Rosenblatt's R".

Abstract: Subsampled blind deconvolution is the recovery of two unknown signals from samples of their convolution. To overcome the ill-posedness of this problem, solutions based on priors tailored to ...

DBB is a powerful ConvNet building block to replace regular conv. It improves the performance without any extra inference-time costs. This repo contains the code for building DBB and converting it ...

Abstract: Event-Driven vision sensing is a new way of sensing visual reality in a frame-free manner. This is, the vision sensor (camera) is not capturing a sequence of still frames, as in conventional ...

Soft robotics continues to push beyond the constraints of rigid mechanisms, offering adaptable solutions for grasping, ...

Deconvolution as a research area focuses on developing and analyzing mathematical and computational methods to invert convolution operations, typically to recover latent signals, images, or ...

From The Matrix to tangled wizard wars, these trilogies buried great ideas under lore, retcons, and endless explanations.

For example, AI applications to medical diagnosis should be regulated very differently from AI applications to self-driving cars. U.S. National Academies report on AI and the Future of Work, study ...

This Research Topic is closed for submissions. Learning about the natural world requires observation and recognizing patterns from which hypotheses and inferences are made to guide various decisions.

We get creative with an effects chain inspired by Jon Hopkins, and a heavy dose of felt piano ...

When engineers set out to build a DIY thermal imaging camera, they usually resort to expensive microbolometer arrays or cheap ...

El, there have been quite a few different characters who have taken up the mantle of Supergirl.