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Collaborating Authors

 Alin-Ionut Popa



Deep Network for the Integrated 3D Sensing of Multiple People in Natural Images

Neural Information Processing Systems

We present MubyNet - a feed-forward, multitask, bottom up system for the integrated localization, as well as 3d pose and shape estimation, of multiple people in monocular images. The challenge is the formal modeling of the problem that intrinsically requires discrete and continuous computation, e.g.