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Update README.md
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‎README.md

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@@ -133,11 +133,23 @@ If you find our work useful in your research, please consider citing:
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@inproceedings{hu2020towards,
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title={Towards Semantic Segmentation of Urban-Scale 3D Point Clouds: A Dataset, Benchmarks and Challenges},
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author={Hu, Qingyong and Yang, Bo and Khalid, Sheikh and Xiao, Wen and Trigoni, Niki and Markham, Andrew},
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booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
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booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
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year={2021}
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}
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@article{hu2022sensaturban,
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title={Sensaturban: Learning semantics from urban-scale photogrammetric point clouds},
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author={Hu, Qingyong and Yang, Bo and Khalid, Sheikh and Xiao, Wen and Trigoni, Niki and Markham, Andrew},
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journal={International Journal of Computer Vision},
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volume={130},
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number={2},
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pages={316--343},
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year={2022},
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publisher={Springer}
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}
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### Updates
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* 03/25/2022: we are organizing the [Urban3D@ECCV2022 - The 2nd Challenge on Large-Scale Point Clouds Analysis for Urban Scenes Understanding](https://urban3dchallenge.github.io/)!
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* 01/03/2021: The SensatUrban has been accepted by CVPR 2021!

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