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Timeline
Mendeley readers
Chapter title |
Prompting Visual-Language Models for Efficient Video Understanding
|
---|---|
Chapter number | 7 |
Book title |
Computer Vision – ECCV 2022
|
Published by |
Springer, Cham, January 2022
|
DOI | 10.1007/978-3-031-19833-5_7 |
Book ISBNs |
978-3-03-119832-8, 978-3-03-119833-5
|
Authors |
Ju, Chen, Han, Tengda, Zheng, Kunhao, Zhang, Ya, Xie, Weidi |
Mendeley readers
The data shown below were compiled from readership statistics for 157 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 157 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 29 | 18% |
Student > Master | 24 | 15% |
Researcher | 14 | 9% |
Student > Bachelor | 10 | 6% |
Student > Doctoral Student | 4 | 3% |
Other | 9 | 6% |
Unknown | 67 | 43% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 66 | 42% |
Engineering | 14 | 9% |
Mathematics | 2 | 1% |
Unspecified | 1 | <1% |
Economics, Econometrics and Finance | 1 | <1% |
Other | 1 | <1% |
Unknown | 72 | 46% |