Weiming Wang

Computer Vision and Pattern Recognition · with Liu · 2018

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Weiming Wang trusts

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

  1. Federico Tombari (in Computer Vision and Pattern Recognition)
  2. Luigi Di Stefano (in Computer Vision and Pattern Recognition)
  3. Samuele Salti (in Computer Vision and Pattern Recognition)

Papers from Weiming Wang's perspective

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

  1. 3D ShapeNets: A deep representation for volumetric shapes
  2. PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space (Neural Information Processing Systems)
  3. Multi-view Convolutional Neural Networks for 3D Shape Recognition
  4. VoxNet: A 3D Convolutional Neural Network for real-time object recognition
  5. SyncSpecCNN: Synchronized Spectral CNN for 3D Shape Segmentation
  6. Geometric Deep Learning: Going beyond Euclidean data
  7. Unique Signatures of Histograms for Local Surface Description
  8. Geometric Deep Learning on Graphs and Manifolds Using Mixture Model CNNs
  9. Escape from Cells: Deep Kd-Networks for the Recognition of 3D Point Cloud Models
  10. Aligning point cloud views using persistent feature histograms

Their papers