0:00-23:43
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This episode is an interview with Tinghui Zhou. In the recent paper "Unsupervised Learning of Depth and Ego-motion from Video", Tinghui and collaborators propose a deep learning architecture which is able to learn depth and pose information from unlabeled videos. We discuss details of this project and its applications.
Tinghui Zhou
people.eecs.berkeley.eduUnsupervised Learning of Depth and Ego-motion from Video
people.eecs.berkeley.edu