Embedded Real-time Multi-Baseline Stereo
We present a system that generates 3D depth information in real-time based on a four camera setup while maintaining a low power budget.
FlowNet 2.0 @CVPR 2017
FlowNet 2.0 is the first optical flow approach based on deep learning that reaches state-of-the-art accuracy. At the same time it is by a factor 100 faster than previous state-of-the-art techniques. This allows for reliable motion estimation at interactive frame rates. For more information visit the paper page.
DeMoN @CVPR 2017
DeMoN is the very first work that formulates the problem of joint egomotion and depth estimation as a pure learning problem. Given two images from a single moving camera, DeMoN can estimate depth and camera motion at interactive frame rates. For more information, please visit the website.
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