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</div>
# Citation
If you find our code useful or use it in your own projects, please cite our paper:
```bibtex
@inproceedings{abdessaied_vdgr,
author = {Abdessaied, Adnen and Lei, Shi and Bulling, Andreas},
title = {{VD-GR: Boosting Visual Dialog with Cascaded Spatial-Temporal Multi-Modal GRaphs}},
booktitle = {IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)},
year = {2024},
}
```
# Table of Contents
* [Setup and Dependencies](#Setup-and-Dependencies)
* [Download Data](#Download-Data)
@ -23,7 +35,7 @@ We implemented our model using Python 3.7 and PyTorch 1.11.0 (CUDA 11.3, CuDNN 8
2. Clone our repository to download the data, checkpoints, and code
```shell
git lfs install
git clone this_repo.git
git clone https://git.hcics.simtech.uni-stuttgart.de/public-projects/VDGR.git
```
3. Create a conda environment and install dependencies
```shell
@ -271,7 +283,7 @@ The output file will be saved in ```output/```
[2]: https://github.com/NVIDIA/apex
[3]: https://visualdialog.org/
[4]: https://pytorch.org/tutorials/beginner/blitz/data_parallel_tutorial.html
[5]: https://adnenabdessaied.de
[5]: https://www.perceptualui.org/people/abdessaied/
[6]: https://www.perceptualui.org/people/shi/
[7]: https://www.perceptualui.org/people/bulling/
[8]: https://drive.google.com/file/d/1GT0WDinA_z5FdwVc_bWtyB-cwQkGIf7C/view?usp=sharing