Date: Fri, 26 May 2017 15:00:00 +0000
<p>This episode is an interview with <a href="https://people.eecs.berkeley.edu/~tinghuiz/">Tinghui Zhou</a>. In the recent paper "<a href="https://people.eecs.berkeley.edu/~tinghuiz/projects/SfMLearner/">Unsupervised Learning of Depth and Ego-motion from Video</a>", 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.</p>
