Unsupervised Learning of Depth and Ego-Motion from Video

Unsupervised Learning of Depth and Ego-Motion from Video

Acknowledgements We thank the anonymous reviewers for their valuable comments. TZ would like to thank Shubham Tulsiani for helpful discussions, and Clement Godard for sharing the evaluation code. This work is partially funded by Intel/NSF VEC award IIS-1539099. This webpage template was borrowed from some colorful folks. Acknowledgements We thank the anonymous reviewers for their valuable comments. TZ would like to thank Shubham Tulsiani for helpful discussions, and Clement Godard for sharing

1 mentions: @quantombone
Date: 2020/05/04 00:52

Referring Tweets

@quantombone The other #CVPR2017 paper that was key in teaching the research community what is possible with deep nets and SLAM is: Unsupervised Learning of Depth and Ego-Motion from Video t.co/ui00WdgSqq #computervision t.co/r9bPLTOXkR

Related Entries

Read more [1803.01271] An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Mo...
13 users, 2 mentions 2020/02/27 23:20
Read more GitHub - google/differential-privacy: Google's C++ differential privacy library.
5 users, 6 mentions 2020/04/06 09:50
Read more GitHub - Mishima-syk/py4chemoinformatics: Python for chemoinformatics
7 users, 1 mentions 2020/04/22 03:52
Read more [1609.04468] Sampling Generative Networksopen searchopen navigation menucontact arXivarXiv Twitter
2 users, 0 mentions 2020/04/28 15:50
Read more [1701.06538] Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layeropen sea...
10 users, 2 mentions 2020/07/01 03:51