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Mendeley readers
Chapter title |
DF-Net: Unsupervised Joint Learning of Depth and Flow Using Cross-Task Consistency
|
---|---|
Chapter number | 3 |
Book title |
Computer Vision – ECCV 2018
|
Published by |
Springer, Cham, September 2018
|
DOI | 10.1007/978-3-030-01228-1_3 |
Book ISBNs |
978-3-03-001227-4, 978-3-03-001228-1
|
Authors |
Yuliang Zou, Zelun Luo, Jia-Bin Huang, Zou, Yuliang, Luo, Zelun, Huang, Jia-Bin |
Mendeley readers
The data shown below were compiled from readership statistics for 274 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 274 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 60 | 22% |
Student > Master | 59 | 22% |
Researcher | 28 | 10% |
Student > Bachelor | 19 | 7% |
Student > Doctoral Student | 13 | 5% |
Other | 20 | 7% |
Unknown | 75 | 27% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 148 | 54% |
Engineering | 34 | 12% |
Mathematics | 2 | <1% |
Economics, Econometrics and Finance | 2 | <1% |
Unspecified | 1 | <1% |
Other | 4 | 1% |
Unknown | 83 | 30% |