Ting Yu

Computer Vision and Pattern Recognition · with Bi · 2005–2020

A researcher in the Science corpus: 2 papers; trusts 23 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Ting Yu trusts overall

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

  1. John MacCormick
  2. Michael Isard
  3. Tao Zhao
  4. Christopher Rasmussen
  5. Carine Hue
  6. Geoffrey E. Hinton
  7. Kaiming He
  8. Ross B. Girshick
  9. Andrew Blake
  10. Alex Krizhevsky

Who trusts Ting Yu overall

  1. David M. Blei

Papers from Ting Yu's perspective

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

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

Their papers