Mei Wang

Computer Vision and Pattern Recognition · with Chen · 2003–2019

A researcher in the Science corpus: 5 papers; trusts 4 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Mei Wang trusts overall

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

  1. F. Cheng
  2. Jin Suntivich

Who trusts Mei Wang overall

  1. Marc Oliver Rieger
  2. Mei Wang
  3. H. Hammer
  4. Luis Miguel Robledo

Papers from Mei Wang's perspective

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

  1. Spatial Transformer Networks
  2. 3D ShapeNets: A deep representation for volumetric shapes
  3. PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
  4. PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space (Neural Information Processing Systems)
  5. VoxNet: A 3D Convolutional Neural Network for real-time object recognition
  6. Volumetric and Multi-view CNNs for Object Classification on 3D Data
  7. Multi-view Convolutional Neural Networks for 3D Shape Recognition
  8. Dynamic Graph CNN for Learning on Point Clouds
  9. OctNet: Learning Deep 3D Representations at High Resolutions
  10. Escape from Cells: Deep Kd-Networks for the Recognition of 3D Point Cloud Models

Their papers