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Mendeley readers
Chapter title |
Ultra-Resolving Face Images by Discriminative Generative Networks
|
---|---|
Chapter number | 20 |
Book title |
Computer Vision – ECCV 2016
|
Published by |
Springer International Publishing, January 2016
|
DOI | 10.1007/978-3-319-46454-1_20 |
Book ISBNs |
978-3-31-946453-4, 978-3-31-946454-1
|
Authors |
Xin Yu, Fatih Porikli, Yu, Xin, Porikli, Fatih |
Editors |
Bastian Leibe, Jiri Matas, Nicu Sebe, Max Welling |
Mendeley readers
The data shown below were compiled from readership statistics for 110 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Switzerland | 1 | <1% |
Unknown | 109 | 99% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 29 | 26% |
Student > Master | 26 | 24% |
Researcher | 7 | 6% |
Student > Bachelor | 6 | 5% |
Professor | 3 | 3% |
Other | 6 | 5% |
Unknown | 33 | 30% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 45 | 41% |
Engineering | 22 | 20% |
Unspecified | 2 | 2% |
Nursing and Health Professions | 2 | 2% |
Biochemistry, Genetics and Molecular Biology | 1 | <1% |
Other | 4 | 4% |
Unknown | 34 | 31% |