Jinze Song

Aerospace Engineering · 2014

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Jinze Song trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Radu Bogdan Rusu

Papers from Jinze Song's perspective

Ordered by how strongly the researchers Jinze Song trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Using Spin Images for Efficient Object Recognition in Cluttered 3D Scenes
  2. A clustering method for efficient segmentation of 3D laser data
  3. 3D is here: Point Cloud Library (PCL)
  4. Recognizing Objects in Range Data Using Regional Point Descriptors
  5. A performance evaluation of local descriptors
  6. Segmentation of 3D lidar data in non-flat urban environments using a local convexity criterion
  7. Performance of histogram descriptors for the classification of 3D laser range data in urban environments
  8. Persistent Point Feature Histograms for 3D Point Clouds
  9. What could move? Finding cars, pedestrians and bicyclists in 3D laser data
  10. Fast segmentation of 3D point clouds for ground vehicles

Their papers