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.
Mendeley readers
Chapter title |
Quantized GAN for Complex Music Generation from Dance Videos
|
---|---|
Chapter number | 11 |
Book title |
Computer Vision – ECCV 2022
|
Published by |
Springer, Cham, January 2022
|
DOI | 10.1007/978-3-031-19836-6_11 |
Book ISBNs |
978-3-03-119835-9, 978-3-03-119836-6
|
Authors |
Zhu, Ye, Olszewski, Kyle, Wu, Yu, Achlioptas, Panos, Chai, Menglei, Yan, Yan, Tulyakov, Sergey |
Mendeley readers
The data shown below were compiled from readership statistics for 47 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 47 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 7 | 15% |
Student > Master | 5 | 11% |
Student > Doctoral Student | 2 | 4% |
Researcher | 2 | 4% |
Student > Bachelor | 1 | 2% |
Other | 2 | 4% |
Unknown | 28 | 60% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 13 | 28% |
Engineering | 2 | 4% |
Business, Management and Accounting | 1 | 2% |
Physics and Astronomy | 1 | 2% |
Mathematics | 1 | 2% |
Other | 0 | 0% |
Unknown | 29 | 62% |