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Activities & events
| Title & Speakers | Event |
|---|---|
|
Unsupervised Depth Perception
2017-05-26 · 15:00
Kyle Polich
– host
,
Tinghui Zhou
– guest
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. |
Data Skeptic |
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