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Mendeley readers
| Title |
Semantic soft segmentation
|
|---|---|
| Published in |
ACM Transactions on Graphics, July 2018
|
| DOI | 10.1145/3197517.3201275 |
| Authors |
Yağiz Aksoy, Tae-Hyun Oh, Sylvain Paris, Marc Pollefeys, Wojciech Matusik |
Mendeley readers
The data shown below were compiled from readership statistics for 312 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 312 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 73 | 23% |
| Student > Ph. D. Student | 65 | 21% |
| Researcher | 34 | 11% |
| Student > Bachelor | 21 | 7% |
| Other | 16 | 5% |
| Other | 27 | 9% |
| Unknown | 76 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 182 | 58% |
| Engineering | 27 | 9% |
| Neuroscience | 4 | 1% |
| Mathematics | 3 | <1% |
| Physics and Astronomy | 2 | <1% |
| Other | 9 | 3% |
| Unknown | 85 | 27% |