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Get started An ongoing series of conversations bringing you right up to the cutting edge of Microsoft Research. June 13, 2018 |
By Microsoft blog editor Principal Researcher and Research Manager, Gang Hua.

Photography courtesy of Maryatt Photography. In technical terms, computer vision researchers “build algorithms and systems to automatically analyze imagery and extract knowledge from the visual world.” In layman’s terms, they build machines that can see.

And that’s exactly what Principal Researcher and Research Manager, Dr. Gang Hua, and Computer Vision Technology team, are doing. Because being able to see is really important for things like the personal robots, self-driving cars, and autonomous drones we’re seeing more and more in our daily lives.

Today, Dr. Hua talks about how the latest advances in AI and machine learning are making big improvements on image recognition, video understanding and even the arts. He also explains the distributed ensemble approach to active learning, where humans and machines work together in the lab to get computer vision systems ready to see and interpret the open world.

Gang Hua: If we look back ten, fifteen years ago, you see the computer vision community’s more diverse. You see all kinds of machine learning methods, you see all kind of knowledges borrowed from physics, from optical field, all getting into this field to try to tackle the problem from multi-perspective. Read more from microsoft.com…

thumbnail courtesy of microsoft.com