Computer Vision
Enabling computers and devices to understand what they see.
Video
Microsoft Research Design Expo 2014
During Microsoft’s annual Faculty Summit, universities from around the world send teams of students to present projects with potential real-world impact. See what these students did to answer the question, “What would you do with…
Publication
Learning Fast Hand Pose Recognition
Project
Learning to be a depth camera for close-range human capture and interaction
We present a machine learning technique for estimating absolute, per-pixel depth using any conventional monocular 2D camera, with minor hardware modifications. Our approach targets close-range human capture and interaction where dense 3D estimation of hands…
Video
Opening Keynote: Faculty Summit 2014
Harry Shum, executive vice president of Microsoft’s Technology and Research group, opens the Faculty Summit by highlighting major efforts at Microsoft Research. Two of significance are the integration of Microsoft Academic Search into Bing with…
Event
Faculty Summit 2014
Leading academic researchers and educators joined Microsoft researchers and engineers to explore future technology trends that will define the twenty-first century at the fifteenth annual Microsoft Research Faculty Summit. Topics included computing devices and the…
Video
Introducing Project Adam: a new deep-learning system
Project Adam is a new deep-learning system modeled after the human brain that has greater image classification accuracy and is 50 times faster than other systems in the industry.
Video
Deep learning enables large-scale computer image recognition
Trishul Chilimbi, Partner Research Manager for Microsoft Research, discusses Project Adam, and how deep neural networks have enabled large-scale computer image recognition with astounding accuracy.
