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20152023
most citedPointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space

2.1k citations · 2.3k across the 12 of their papers we have counts for

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Showing 2019Show all

2 papers · 1 filter

cs.CV2019

Deep Hough Voting for 3D Object Detection in Point Clouds

Charles R. Qi, Or Litany, Kaiming He +1

Current 3D object detection methods are heavily influenced by 2D detectors. In order to leverage architectures in 2D detectors, they often convert 3D point clouds to regular grids…

cs.CV2019

KPConv: Flexible and Deformable Convolution for Point Clouds

Hugues Thomas, Charles R. Qi, Jean-Emmanuel Deschaud +3

We present Kernel Point Convolution (KPConv), a new design of point convolution, i.e. that operates on point clouds without any intermediate representation. The convolution weights…