The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
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.
X Demographics
Mendeley readers
Title |
Deep Learning-Based Object Tracking via Compressed Domain Residual Frames
|
---|---|
Published in |
Frontiers in Signal Processing, November 2021
|
DOI | 10.3389/frsip.2021.765006 |
Authors |
Karim El Khoury, Jonathan Samelson, Benoît Macq |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Switzerland | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 9 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 3 | 33% |
Researcher | 2 | 22% |
Lecturer > Senior Lecturer | 1 | 11% |
Student > Master | 1 | 11% |
Unknown | 2 | 22% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 3 | 33% |
Mathematics | 1 | 11% |
Agricultural and Biological Sciences | 1 | 11% |
Engineering | 1 | 11% |
Unknown | 3 | 33% |