Computer vision (CV) and image processing are two closely related fields that utilize techniques from artificial intelligence (AI) and pattern recognition to derive meaningful information from images, ...

Vision Transformers, or ViTs, are a groundbreaking learning model designed for tasks in computer vision, particularly image recognition. Unlike CNNs, which use convolutions for image processing, ViTs ...

The high-quality images and videos on our smartphones and digital devices nowadays are the product of scientists’ scrupulous research on innovative solutions. Prof. Lei ZHANG, Chair Professor of ...

An introduction to computer vision including sensors and image formation, camera geometry, signal processing, feature detection, tracking and motion estimation, scene understanding, image ...

Two years ago, Microsoft announced Florence, an AI system that it pitched as a “complete rethinking” of modern computer vision models. Unlike most vision models at the time, Florence was both “unified ...

Vision systems are rapidly becoming ubiquitous, driven by big improvements in image sensors as well as new types of sensors. While the sensor itself often is developed using mature-node silicon, ...

Neuroscientists have been trying to understand how the brain processes visual information for over a century. The development ...