Amin Zheng

Computer Vision and Pattern Recognition · with Guo · 2018

A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Amin Zheng trusts

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

  1. Pierre Vandergheynst (in Artificial Intelligence)
  2. Yann LeCun (in Graph Learning)
  3. Xavier Bresson (in Artificial Intelligence)
  4. Joan Bruna (in Graph Learning)
  5. Leonidas J. Guibas (in Computational Mechanics)
  6. Hao Su (in Computational Mechanics)
  7. Daniel Maturana (in Computer Vision and Pattern Recognition)
  8. Sebastian A. Scherer (in Computer Vision and Pattern Recognition)
  9. Li Yi (in Computational Mechanics)

Papers from Amin Zheng's perspective

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

  1. Spectral Networks and Locally Connected Networks on Graphs
  2. ImageNet classification with deep convolutional neural networks
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Gradient-based learning applied to document recognition
  5. Convolutional Networks on Graphs for Learning Molecular Fingerprints
  6. Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering
  7. 3D ShapeNets: A deep representation for volumetric shapes
  8. Deep Convolutional Networks on Graph-Structured Data
  9. PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space (Neural Information Processing Systems)
  10. A new model for learning in graph domains

Their papers