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https://github.com/escorciav/moments-retrieval-page
Moments Retrieval Project Webpage (temporal)
https://github.com/escorciav/moments-retrieval-page
Last synced: 3 days ago
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Moments Retrieval Project Webpage (temporal)
- Host: GitHub
- URL: https://github.com/escorciav/moments-retrieval-page
- Owner: escorciav
- License: mit
- Created: 2019-10-22T04:00:34.000Z (about 5 years ago)
- Default Branch: master
- Last Pushed: 2024-01-17T06:56:29.000Z (10 months ago)
- Last Synced: 2024-01-17T13:50:56.213Z (10 months ago)
- Language: Python
- Size: 930 KB
- Stars: 28
- Watchers: 8
- Forks: 3
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
Hi there! Welcome to the landing page of our academic work [_Finding Moments in Video Collections Using Natural Language_](https://arxiv.org/abs/1907.12763).
# [Preprint](https://arxiv.org/abs/1907.12763), [Video-summary](https://drive.google.com/file/d/1zPFpfeL8Ov-n2pC8XUYTqPGLvKwQoCsf/view?usp=drive_link), [Code](https://github.com/escorciav/moments-retrieval), [Demo](http://moments-retrieval.kaust.edu.sa/query/girl)
![teaser](https://raw.githubusercontent.com/escorciav/moments-retrieval-page/master/data/page/teaser.png)
Are you working in this area? Please sign up for updates by hitting the ⭐ button in the [Github banner](https://github.com/escorciav/moments-retrieval-page).
Please cite if you find this project helpful for your research
```bibtex
@article{EscorciaSSGR2019,
title={Finding Moments in Video Collections Using Natural Language},
author={Victor Escorcia and Mattia Soldan and Josef Sivic and Bernard Ghanem and Bryan Russell},
journal={ArXiv},
year={2019},
volume={abs/1907.12763}
}
```Hit the ⭐ button in the [Github banner](https://github.com/escorciav/moments-retrieval-page) if you like this project
We greatly appreciate finding attribution notes in your work when you copy small chunks from our codebase.
# News
2023-03-08. We released the [code](https://github.com/escorciav/moments-retrieval).
The editors/ACs and reviewers won.
The paper will die in arxiv without any peer-reviewed stamp.
Victor was stubborn and out of his mind for delaying the code release.2022-11-23. Our paper got desk rejected from CVIU.
The editor and Editor-In-Chief (Prof. Nicu Sebe) did not like that we submitted ~200 pages submission.2022-09-12. Mattia found out how to stop Victor's procrastination.
We submitted our paper, all the reviews, and all the previous rebuttals to CVIU.
Looking forward ✌🏼.2021-09-02. Our paper got rejected on IJCV.
After two revisions, we did not have a chance to address two reviewers 🤬.
OMG, the great editor appointed seven reviewers ‼️
Until the editor gets dismissed or we receive an apology, Victor won't review ~for free~ for IJCV.2020-12-16. We submitted our work to IJCV.
@Mattia improved STAL thanks to supervised contrastive learning.2020-07-30. Our paper got rejected on ECCV'20, the fourth time due to novelty 😝.
The code will be released for the CVPR'22 deadline.
Get in touch if you plan to run comparisons!2019-11-12. Model details (initialization), Video corpus moment retrieval evaluation details.
2019-11-08. Release features, baseline results, temporal proposals details.
2019-10-25. Team members at ICCV. Say hi to [Bryan Russell](http://bryanrussell.org/) and [Josef Sivic](https://www.di.ens.fr/~josef/).
2019-10-21. pre-alpha^n Launching.
# [Release 2.0](https://github.com/escorciav/moments-retrieval)
On 2023-03-08, as a tribute to all the women Victor announced the code release 🌻.
# Release 1.0
Context: before the CVPR2020 submission deadline.
[Features&Baselines](https://github.com/escorciav/moments-retrieval-page/blob/master/data/processed),
[Evaluation protocol](https://github.com/escorciav/moments-retrieval-page/blob/master/corpus_retrieval_eval.py),
[Two-Stage evaluation protocol](https://github.com/escorciav/moments-retrieval-page/blob/master/corpus_retrieval_2nd_eval.py)
[Model details](https://github.com/escorciav/moments-retrieval-page/blob/master/model.py),
[Temporal proposal details](https://github.com/escorciav/moments-retrieval-page/blob/master/data/interim/temporal-proposals-setup.md),
[Baseline implementation](https://github.com/escorciav/moments-retrieval-page/blob/master/moment_freq_prior.py#L173-L206).In a nutshell, most of the heavy lifting required to report fair comparisons.
# Questions?
Please open an issue. It helps us to keep all on the same page.