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README.md

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@@ -25,20 +25,23 @@ The source code is published under Apache 2.0 license, see [license file](LICENS
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If you use the source code, please cite the papers related to this work:
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**Efficient Multi-Task RGB-D Scene Analysis for Indoor Environments** ([arXiv](https://arxiv.org/abs/2207.04526)):
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>Seichter, D., Fischedick, B., Köhler, M., Gross, H.-M.
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**Efficient Multi-Task RGB-D Scene Analysis for Indoor Environments** ([IEEE Xplore](https://ieeexplore.ieee.org/document/9892852), [arXiv](https://arxiv.org/abs/2207.04526)):
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> Seichter, D., Fischedick, B., Köhler, M., Gross, H.-M.
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*Efficient Multi-Task RGB-D Scene Analysis for Indoor Environments*,
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to appear in IEEE International Joint Conference on Neural Networks (IJCNN), 2022.
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in IEEE International Joint Conference on Neural Networks (IJCNN), pp. 1-10, 2022.
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```bibtex
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@article{emsanet2022,
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title={Efficient Multi-Task RGB-D Scene Analysis for Indoor Environments},
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author={Seichter, Daniel and Fischedick, S{\"o}hnke and K{\"o}hler, Mona and Gross, Horst-Michael},
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journal={arXiv preprint arXiv:2207.04526},
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year={2022}
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@inproceedings{emsanet2022ijcnn,
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title={Efficient Multi-Task RGB-D Scene Analysis for Indoor Environments},
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author={Seichter, Daniel and Fischedick, S{\"o}hnke and K{\"o}hler, Mona and Gross, Horst-Michael},
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booktitle={IEEE International Joint Conference on Neural Networks (IJCNN)},
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year={2022},
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volume={},
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number={},
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pages={1-10},
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doi={10.1109/IJCNN55064.2022.9892852}
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}
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```
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Note that the preprint was accepted to be published in IEEE International Joint Conference on Neural Networks (IJCNN) 2022.
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**Efficient and Robust Semantic Mapping for Indoor Environments** ([IEEE Xplore](https://ieeexplore.ieee.org/document/9812205), [arXiv](https://arxiv.org/pdf/2203.05836.pdf)):
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>Seichter, D., Langer, P., Wengefeld, T., Lewandowski, B., Höchemer, D., Gross, H.-M.

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