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Podcast: Data Skeptic
Episode:

Unsupervised Depth Perception
Category: Religion & Spirituality
Duration: 00:23:43
Publish Date: 2017-05-26 10:00:00
Description:

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.
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