The Computer Vision and Pattern Recognition Conference (CVPR) is the preeminent computer vision event for new research in support of artificial intelligence (AI), machine learning (ML), augmented, ...

The ability of present-day machines to perceive and interpret visual information with astounding accuracy gives us a glimpse of the future of computer vision, where such systems will be able to ...

In recent decades, Chellappa's work in computer vision, pattern recognition, and machine learning has had an impact on areas including biometrics, smart cars, forensics, and 2D and 3D modeling of ...

Computer vision is the science and technology of machines that see. As a scientific discipline, computer vision is concerned with the theory and technology for building artificial systems that ...

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 ...

Apple's research paper was accepted to the 2017 Conference on Computer Vision and Pattern Recognition (CVPR) back in July, and as it turns out, Apple's work won a "CVPR 2017 Best Paper Award ...

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, ...

The convergence of AI, AR, and computer vision is ushering in a new era for the industrial sector. These technologies complement each other, creating a digital ecosystem where data is continuously ...

Computer vision, at its core, is pattern recognition. Driven by AI, the technology enables computers to identify objects in images and videos by calculating similarities with patterns it's learned ...