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, ...

Overview: Master deep learning with these 10 essential books blending math, code, and real-world AI applications for lasting ...

Dr. Vijayan Asari is the University of Dayton Ohio Research Scholars Endowed Chair in Wide Area Surveillance and a Professor with the Department of Electrical and Computer Engineering. He is also the ...

Back in October, Apple published its first research paper related to artificial intelligence and machine learning. The paper, titled "Learning from Simulated and Unsupervised Images through ...

The Computer Vision and Machine Learning focus area builds on the pioneering work at UB in enabling AI innovation in language and vision analytic sub-systems and their application to the fields of ...

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 ...

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, ...

Computer vision, or the ability of artificially intelligent systems to “see” like humans, has been a subject of increasing interest and rigorous research for decades now. As a way of emulating the ...

26th IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2013) will be held on June 23 through 28 at the Oregon Convention Center in Portland, OR.