Phil Goldstein is a former web editor of the CDW family of tech magazines and a veteran technology journalist. He lives in Washington, D.C., with his wife and their animals: a dog named Brenna, and ...

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 ...

Applications range from medical imaging to autonomous vehicle technology. Learn data manipulation techniques to improve signal or image fidelity. Understand the theory of probability and stochastic ...

George Bebis is a Foundation Professor in the Department of Computer Science and Engineering (CSE) at the University of Nevada, Reno and Director of the Computer Vision Laboratory (CVL). From 2013 to ...

Made of silicon, these in-sensor visual processing arrays can both capture and process visual data in the analog domain, as opposed to conventional systems that often physically separate these ...

Randy Barrett is a freelance writer and editor based in Washington, D.C. A large part of his portfolio career includes teaching banjo and fiddle as well as performing professionally. Over time, human ...

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

Linear Algebra, Calculus, Data Structures Working knowledge of Matlab or C/C++ or willingness + time to pick it up quickly No image processing, computer vision, computer graphics, visualization or ...