Machine learning is driving a revolution in vision-based IoT applications, but new research combining classic computer vision with deep learning shows significantly better results.

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 ...

Computer vision as an academic discipline took off in the 1960s, primarily at universities engaged in the emerging field of artificial intelligence (AI) and machine learning.

Computer vision is transforming AI by enabling machines to "see" and interpret visual data, driving advancements in medical imaging, autonomous vehicles, and traffic monitoring.

Researchers at The University of Osaka have developed a computer graphics (CG) model, NeuraLeaf, capable of representing a ...

Industry fueled by advancements in autonomous vehicles and AI-driven analytics. With a projected CAGR of 15.3%, demand for ...

Computer Vision and Pattern Recognition (CVPR), New Orleans, USA, 2022. Unsupervised Learning for Human Sensing Using Radio Signals. Tianhong Li*, Lijie Fan*, Yuan Yuan*, and Dina Katabi. (* equal ...

Facebook announced an AI model trained on a billion images that it claims achieves state-of-the-art results on a range of benchmarks.

Computer vision is not simply one technology; it’s actually several that come together. Ultimately, it is a system for acquiring, processing and analyzing images, and can automate, through machine ...

It takes a lot of machine learning and computer vision to ensure that a pair of high-end sneakers is authentic. Just ask GOAT. GOAT is the largest sneaker marketplace and specializes in selling ...