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