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 |
Long-Term Tracking in the Wild: A Benchmark
|
---|---|
Chapter number | 41 |
Book title |
Computer Vision – ECCV 2018
|
Published by |
Springer, Cham, September 2018
|
DOI | 10.1007/978-3-030-01219-9_41 |
Book ISBNs |
978-3-03-001218-2, 978-3-03-001219-9
|
Authors |
Jack Valmadre, Luca Bertinetto, João F. Henriques, Ran Tao, Andrea Vedaldi, Arnold W. M. Smeulders, Philip H. S. Torr, Efstratios Gavves, Valmadre, Jack, Bertinetto, Luca, Henriques, João F., Tao, Ran, Vedaldi, Andrea, Smeulders, Arnold W. M., Torr, Philip H. S., Gavves, Efstratios |
Mendeley readers
The data shown below were compiled from readership statistics for 202 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 202 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 49 | 24% |
Student > Master | 31 | 15% |
Researcher | 24 | 12% |
Student > Bachelor | 8 | 4% |
Student > Doctoral Student | 7 | 3% |
Other | 19 | 9% |
Unknown | 64 | 32% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 102 | 50% |
Engineering | 20 | 10% |
Agricultural and Biological Sciences | 4 | 2% |
Mathematics | 4 | 2% |
Materials Science | 2 | <1% |
Other | 1 | <1% |
Unknown | 69 | 34% |