You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
Timeline
Mendeley readers
Chapter title |
Stochastic Frequency Masking to Improve Super-Resolution and Denoising Networks
|
---|---|
Chapter number | 44 |
Book title |
Computer Vision – ECCV 2020
|
Published by |
Springer, Cham, August 2020
|
DOI | 10.1007/978-3-030-58517-4_44 |
Book ISBNs |
978-3-03-058516-7, 978-3-03-058517-4
|
Authors |
Majed El Helou, Ruofan Zhou, Sabine Süsstrunk, El Helou, Majed, Zhou, Ruofan, Süsstrunk, Sabine |
Mendeley readers
The data shown below were compiled from readership statistics for 142 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 142 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 28 | 20% |
Student > Ph. D. Student | 24 | 17% |
Student > Bachelor | 8 | 6% |
Student > Postgraduate | 7 | 5% |
Researcher | 7 | 5% |
Other | 6 | 4% |
Unknown | 62 | 44% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 57 | 40% |
Engineering | 14 | 10% |
Physics and Astronomy | 2 | 1% |
Biochemistry, Genetics and Molecular Biology | 1 | <1% |
Psychology | 1 | <1% |
Other | 3 | 2% |
Unknown | 64 | 45% |