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Hybridnet for depth estimation and semantic segmentation
Semantic segmentation and depth estimation are two important tasks in the area of image processing.
Pedestrian Detection in 3D Point Clouds using Deep Neural Networks
In this paper, we propose a PointNet++ based architecture to detect pedestrians in dense 3D point clouds.
Graph based Dynamic Segmentation of Generic Objects in 3D
We propose a novel 3D segmentation method for RBGD stream data to deal with 3D object segmentation task in a generic scenario with frequent object interactions.
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