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Mendeley readers
Chapter title |
ECO: Efficient Convolutional Network for Online Video Understanding
|
---|---|
Chapter number | 43 |
Book title |
Computer Vision – ECCV 2018
|
Published by |
Springer, Cham, September 2018
|
DOI | 10.1007/978-3-030-01216-8_43 |
Book ISBNs |
978-3-03-001215-1, 978-3-03-001216-8
|
Authors |
Mohammadreza Zolfaghari, Kamaljeet Singh, Thomas Brox, Zolfaghari, Mohammadreza, Singh, Kamaljeet, Brox, Thomas |
Mendeley readers
The data shown below were compiled from readership statistics for 469 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 469 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 100 | 21% |
Student > Ph. D. Student | 90 | 19% |
Researcher | 45 | 10% |
Student > Bachelor | 23 | 5% |
Student > Postgraduate | 22 | 5% |
Other | 32 | 7% |
Unknown | 157 | 33% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 244 | 52% |
Engineering | 41 | 9% |
Business, Management and Accounting | 2 | <1% |
Earth and Planetary Sciences | 2 | <1% |
Agricultural and Biological Sciences | 1 | <1% |
Other | 10 | 2% |
Unknown | 169 | 36% |