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@INPROCEEDINGS{8814157,
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author={L. P. N. {Matias} and M. {Sons} and J. R. {Souza} and D. F. {Wolf} and C. {Stiller}},
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booktitle={2019 IEEE Intelligent Vehicles Symposium (IV)},
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title={VeIGAN: Vectorial Inpainting Generative Adversarial Network for Depth Maps Object Removal},
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year={2019},
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volume={},
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number={},
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pages={310-316},
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keywords={feature extraction;image colour analysis;neural net architecture;object detection;stereo image processing;depth features;network architecture;depth distribution;depth information;masked area;disparity image;image-based depth estimation;stereo cameras;object occlusion;RGB images;depth feature extraction;inpainting approaches;scene perspectives;vectorial inpainting generative adversarial network;depth map object removal},
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doi={10.1109/IVS.2019.8814157},
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ISSN={1931-0587},
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month={June},}

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