Chen Yu

Computer Vision and Pattern Recognition · with Smith · 2007–2019

A researcher in the Science corpus: 7 papers; trusts 197 researchers and is trusted by 22 researchers here, as inferred from the citation graph.

Subfields

Whom Chen Yu trusts overall

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

  1. Elissa L. Newport
  2. Alex Krizhevsky
  3. Michael Tomasello
  4. Richard N. Aslin
  5. Geoffrey E. Hinton
  6. Fei Xu
  7. Jenny R. Saffran
  8. Ross B. Girshick
  9. Kaiming He
  10. Andrew Zisserman

Who trusts Chen Yu overall

  1. Emmanuel Dupoux
  2. Bob McMurray
  3. Jessica S. Horst
  4. Daniel Yurovsky
  5. Linda B. Smith
  6. K. Connolly
  7. Michael C. Frank
  8. Lauren Schmidt
  9. Herman Kamper
  10. Mark Andrews

Papers from Chen Yu's perspective

Ordered by how strongly the researchers Chen Yu 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. Going deeper with convolutions
  5. Learning Multiple Layers of Features from Tiny Images
  6. Gradient-based learning applied to document recognition
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. Long Short-Term Memory
  9. Attention is All you Need (Neural Information Processing Systems)
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers