EPISODE · May 26, 2017 · 23 MIN
Unsupervised Depth Perception
from Data Skeptic
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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