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Found 3 papers, 1 papers with code
Oriented-grid Encoder for 3D Implicit Representations
Compared to the use of regular grids, our geometric encoder is shown to converge in fewer steps and obtain sharper 3D surfaces.
3DRegNet: A Deep Neural Network for 3D Point Registration
Given a set of 3D point correspondences, we build a deep neural network to address the following two challenges: (i) classification of the point correspondences into inliers/outliers, and (ii) regression of the motion parameters that align the scans into a common reference frame.
OmniDRL: Robust Pedestrian Detection using Deep Reinforcement Learning on Omnidirectional Cameras
Pedestrian detection is one of the most explored topics in computer vision and robotics.
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