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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Unsupervised Depth Perception
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How long is this episode of Data Skeptic?
This episode is 23 minutes long.
When was this Data Skeptic episode published?
This episode was published on May 26, 2017.
What is this episode about?
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...
Can I download this Data Skeptic episode?
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