LU-Net: An Efficient Network for 3D LiDAR Point Cloud Semantic Segmentation Based on End-to-End-Learned 3D Features and U-Net
Biasutti, Pierre, Lepetit, Vincent, Aujol, Jean-Francois, Bredif, Mathieu, Bugeau, Aurelie
Published in 2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW) (01.10.2019)
Published in 2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW) (01.10.2019)
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Conference Proceeding
Diffusion and inpainting of reflectance and height LiDAR orthoimages
Biasutti, Pierre, Aujol, Jean-François, Brédif, Mathieu, Bugeau, Aurélie
Published in Computer vision and image understanding (01.02.2019)
Published in Computer vision and image understanding (01.02.2019)
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Journal Article
DISOCCLUSION OF 3D LIDAR POINT CLOUDS USING RANGE IMAGES
Biasutti, P., Aujol, J.-F., Brédif, M., Bugeau, A.
Published in ISPRS annals of the photogrammetry, remote sensing and spatial information sciences (30.05.2017)
Published in ISPRS annals of the photogrammetry, remote sensing and spatial information sciences (30.05.2017)
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Journal Article
RIU-Net: Embarrassingly simple semantic segmentation of 3D LiDAR point cloud
Biasutti, Pierre, Bugeau, Aurélie, Aujol, Jean-François, Brédif, Mathieu
Year of Publication 21.05.2019
Year of Publication 21.05.2019
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Journal Article
LU-Net: An Efficient Network for 3D LiDAR Point Cloud Semantic Segmentation Based on End-to-End-Learned 3D Features and U-Net
Biasutti, Pierre, Lepetit, Vincent, Aujol, Jean-François, Brédif, Mathieu, Bugeau, Aurélie
Year of Publication 30.08.2019
Year of Publication 30.08.2019
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Journal Article