R. Qi Charles’s scientific contributions

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Publications (1)


PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
  • Conference Paper

July 2017

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4,487 Reads

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7,511 Citations

R. Qi Charles

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Citations (1)


... To fully exploit the characteristics of point clouds, pointbased methods are prevalent in point cloud segmentation. Qi et al. [20] proposed a groundbreaking work, PointNet, which processed unordered point clouds as the input and employed several MLPs for feature extraction. Since PointNet directly uses max-pooling to aggregate all points into a global feature, the local features have been underutilized. ...

Reference:

Subdivision of Adjacent Areas for 3D Point Cloud Semantic Segmentation
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
  • Citing Conference Paper
  • July 2017