It often begins subtly, with tired eyes after a long workday, yet can build into persistent discomfort that is easy to ignore. As screen time becomes unavoidable across work, education, and leisure, ...

Abstract: Computer vision has evolved dramatically from traditional handcrafted image processing methods to advanced deep learning models. However, despite achieving notable results, these purely ...

For decades, the retail industry has faced the same persistent problems of empty shelves, pricing errors and inventory discrepancies. Despite having spent billions of dollars on data analytics and ...

Labeling images is a costly and slow process in many computer vision projects. It often introduces bias and reduces the ability to scale large datasets. Therefore, researchers have been looking for ...

We are in the middle of a huge boom in artificial intelligence (AI), with unprecedented investment in research, a supercharged pace of innovation and sky-high expectations. But what is driving this ...

Imaging research in the popular field of computer vision almost always involves analysing humans and their environments, and most of the subsequent patents can be used in surveillance technologies, a ...

This study introduces Popnet, a deep learning model for forecasting 1 km-gridded populations, integrating U-Net, ConvLSTM, a Spatial Autocorrelation module and deep ensemble methods. Using spatial ...

Pull requests help you collaborate on code with other people. As pull requests are created, they’ll appear here in a searchable and filterable list. To get started, you should create a pull request.

Coffee prices have spiked significantly over the past four years as bad weather reduced production. Add in rising tariffs on coffee-producing countries like Brazil and Colombia, and that cup of joe is ...

A new method significantly advances 3D imaging of reflective surfaces. The approach integrates techniques known from high-precision optical 3D metrology and computer vision, and could benefit ...