As artificial intelligence and smart devices continue to evolve, machine vision is taking an increasingly pivotal role as a ...

An estimated 60 to 70% of computer users suffer from eye strain, or computer vision syndrome. It results from prolonged use of screens on computers and digital devices. KERA’s Sam Baker talks ...

NeurIPS 2023. [pdf] Visually-Guided Audio Spatialization in Video with Geometry-Aware Multi-task Learning. Rishabh Garg, Ruohan Gao, Kristen Grauman. International Journal of Computer Vision (IJCV).

As Paris explains, “converting RGB images to spatial photos is useful for various computer vision and 3D modeling applications.” We’re likely to see more tools like this in future as spatial ...

Computer vision could be a lot faster and better if we skip the concept of still frames and instead directly analyze the data stream from a camera. At least, that’s the theory that the newest ...

JPEG is not the only lossy compression method that can affect the quality of machine learning datasets; compression settings in PDF files can also discard ... continuity and history of year-on-year ...

Companies across a range of industries are deploying image- and video-based artificial intelligence to improve and optimize key business processes and products. Over the past few years, computer ...

Learn More The process of identifying objects and understanding the world through the images collected from digital cameras is often referred to as “computer vision” or “machine vision.” ...

Manish Garg is the Co-founder and Chief Product Officer at Skan.ai, a computer-vision-based process intelligence platform. Computer vision conjures up thoughts of autonomous vehicles and facial ...