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# Citation
# VLCN
This repository contains the official code of the paper:
## Video Language Co-Attention with Fast-Learning Feature Fusion for VideoQA [[PDF](https://aclanthology.org/2022.repl4nlp-1.15.pdf)]
[Adnen Abdessaied](https://adnenabdessaied.de), [Ekta Sood](https://perceptualui.org/people/sood/), [Andreas Bulling](https://perceptualui.org/people/bulling/)
**Poster**
Represnetation Learning for NLP (RepL4NLP) @ ACL 2022 / Dublin, Ireland.
If you find our code useful or use it in your own projects, please cite our paper:
This is the official code of the paper **Video Language Co-Attention with Fast-Learning Feature Fusion for VideoQA**.
If you find our code useful, please cite our paper:
```
@inproceedings{abdessaied22_repl4NLP,
author = {Abdessaied, Adnen and Sood, Ekta and Bulling, Andreas},
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# Acknowledgements
We thank the Vision and Language Group@ MIL for their [MCAN](https://github.com/MILVLG/mcan-vqa) open source implementation, [DavidA](https://github.com/DavideA/c3d-pytorch/blob/master/C3D_model.py) for his pretrained C3D model and finally [ixaxaar](https://github.com/ixaxaar/pytorch-dnc) for his DNC implementation.
# Contributors
- [Adnen Abdessaied](https://adnenabdessaied.de)
For any questions or enquiries, don't not hesitate to contact the above contributor.