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 ...

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

We design, model, and build systems that combine sensors, displays, and novel optical elements to enable new functionality in cameras and displays for applications in medical, astronomical, and ...

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 ...

Computer vision continues to be one of the most dynamic and impactful fields in artificial intelligence. Thanks to breakthroughs in deep learning, architecture design and data efficiency, machines are ...

Ambarella’s CV7 SoC leverages the CVflow computer vision architecture to bring 8K image processing and advanced AI inference ...

Christoph Wagner is the CEO of Scanbot SDK, a software development company specializing in data capture software for mobile and web apps. Recent leaps in generative AI have demonstrated the disruptive ...

Math 228-1 or Math 230-1 and Gen_Eng 205-1 or Math 240. Instructor Permission - Application: https://forms.gle/VYDJdoZddZ9ZydPx9 This course covers the mathematical ...