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Mendeley readers
Chapter title |
Learn-to-Score: Efficient 3D Scene Exploration by Predicting View Utility
|
---|---|
Chapter number | 27 |
Book title |
Computer Vision – ECCV 2018
|
Published by |
Springer, Cham, September 2018
|
DOI | 10.1007/978-3-030-01267-0_27 |
Book ISBNs |
978-3-03-001266-3, 978-3-03-001267-0
|
Authors |
Benjamin Hepp, Debadeepta Dey, Sudipta N. Sinha, Ashish Kapoor, Neel Joshi, Otmar Hilliges, Hepp, Benjamin, Dey, Debadeepta, Sinha, Sudipta N., Kapoor, Ashish, Joshi, Neel, Hilliges, Otmar |
Mendeley readers
The data shown below were compiled from readership statistics for 143 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 143 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 28 | 20% |
Researcher | 19 | 13% |
Student > Master | 18 | 13% |
Student > Doctoral Student | 7 | 5% |
Student > Bachelor | 7 | 5% |
Other | 13 | 9% |
Unknown | 51 | 36% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 58 | 41% |
Engineering | 24 | 17% |
Business, Management and Accounting | 1 | <1% |
Economics, Econometrics and Finance | 1 | <1% |
Agricultural and Biological Sciences | 1 | <1% |
Other | 2 | 1% |
Unknown | 56 | 39% |