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DualConvMesh-Net: Joint Geodesic and Euclidean Convolutions on 3D Meshes
We propose DualConvMesh-Nets (DCM-Net) a family of deep hierarchical con...
04/02/2020 ∙ by Jonas Schult, et al. ∙
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Know What Your Neighbors Do: 3D Semantic Segmentation of Point Clouds
In this paper, we present a deep learning architecture which addresses t...
10/02/2018 ∙ by Francis Engelmann, et al. ∙
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3D-MPA: Multi Proposal Aggregation for 3D Semantic Instance Segmentation
We present 3D-MPA, a method for instance segmentation on 3D point clouds...
03/30/2020 ∙ by Francis Engelmann, et al. ∙
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Dilated Point Convolutions: On the Receptive Field of Point Convolutions
In this work, we propose Dilated Point Convolutions (DPC) which drastica...
07/28/2019 ∙ by Francis Engelmann, et al. ∙
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Keyframe-Based Visual-Inertial Online SLAM with Relocalization
Complementing images with inertial measurements has become one of the mo...
02/07/2017 ∙ by Anton Kasyanov, et al. ∙
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Exploring Spatial Context for 3D Semantic Segmentation of Point Clouds
Deep learning approaches have made tremendous progress in the field of s...
02/05/2018 ∙ by Francis Engelmann, et al. ∙
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3D-BEVIS: Birds-Eye-View Instance Segmentation
Recent deep learning models achieve impressive results on 3D scene analy...
04/03/2019 ∙ by Cathrin Elich, et al. ∙
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