Awesome
Action Search: Spotting Targets in Videos and Its Application to Temporal Action Localization
This repository is intended to host the Human Searches dataset and code from our Action Search paper. It includes the Human Searches dataset, code to animate the search sequences, and code (+ raw data) to reproduce the paper results figures.
<img src="./animate-searches/example_output/example_output_animation.gif">If you find any piece of code valuable for your research, please cite this work:
@inproceedings{alwassel_2018_actionsearch,
title={Action Search: Spotting Targets in Videos and Its Application to Temporal Action Localization},
author={Alwassel, Humam and Caba Heilbron, Fabian and Ghanem, Bernard},
booktitle={The European Conference on Computer Vision (ECCV)},
month={September}
year={2018}
}
How to run it?
Install conda, create the environment from the environment.yml file, and then activate the environment:
conda env create -f environment.yml
source activate action-search
Launch jupyter, navigate to the desired notebook, and run the code!
jupyter notebook
Who is behind it?
| <img src="http://activity-net.org/challenges/2018/images/humam.jpg" width="135" height="135"> | <img src="http://activity-net.org/challenges/2018/images/fabian.png" width="135" height="135"> | <img src="http://activity-net.org/challenges/2018/images/bernard.jpg" width="135" height="135"> |
|---|---|---|
| Contributor | Contributor | Advisor |
| Humam Alwassel | Fabian Caba | Bernard Ghanem |
Do you want to contribute?
- Check the open issues or open a new issue to start a discussion around your new idea or the bug you found
- Fork the repository and make your changes
- Send a pull request