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X Demographics
Mendeley readers
| Title |
Painting style transfer for head portraits using convolutional neural networks
|
|---|---|
| Published in |
ACM Transactions on Graphics, July 2016
|
| DOI | 10.1145/2897824.2925968 |
| Authors |
Ahmed Selim, Mohamed Elgharib, Linda Doyle |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 122 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 1 | <1% |
| Unknown | 121 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 29 | 24% |
| Student > Master | 26 | 21% |
| Student > Bachelor | 15 | 12% |
| Researcher | 12 | 10% |
| Student > Doctoral Student | 7 | 6% |
| Other | 11 | 9% |
| Unknown | 22 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 70 | 57% |
| Engineering | 19 | 16% |
| Arts and Humanities | 3 | 2% |
| Mathematics | 2 | 2% |
| Agricultural and Biological Sciences | 1 | <1% |
| Other | 4 | 3% |
| Unknown | 23 | 19% |