Wenzhen Yuan

Computer Vision and Pattern Recognition · 2017–2021

A researcher in the Science corpus: 6 papers; trusts 45 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

Whom Wenzhen Yuan trusts overall

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

  1. Robert J. Woodham
  2. Karen Simonyan
  3. Micah K. Johnson
  4. Jia Deng
  5. Andrew Zisserman
  6. Diederik P. Kingma
  7. Ingrid Daubechies
  8. Alex Krizhevsky
  9. Kaiming He
  10. Geoffrey E. Hinton

Who trusts Wenzhen Yuan overall

  1. Stephen Tian
  2. Roberto Calandra
  3. Qiang Li
  4. Dinesh Jayaraman
  5. Frederik D. Ebert
  6. Siyuan Dong
  7. Oliver Kroemer
  8. Raunaq M. Bhirangi
  9. Andrew Owens
  10. Aude Gemma Billard

Papers from Wenzhen Yuan's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. ImageNet: A large-scale hierarchical image database
  4. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  5. Gradient-based learning applied to document recognition
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. Long Short-Term Memory
  8. Attention is All you Need (Neural Information Processing Systems)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Learning Multiple Layers of Features from Tiny Images

Their papers