Yichang Shih

Computer Vision and Pattern Recognition · 2013–2014

A researcher in the Science corpus: 2 papers; trusts 81 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

Whom Yichang Shih trusts overall

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

  1. William T. Freeman
  2. Alexei A. Efros
  3. Anat Levin
  4. Kaiming He
  5. James Hays
  6. Navneet Dalal
  7. Yair Weiss
  8. Dani Lischinski
  9. Geoffrey E. Hinton
  10. Antonio Torralba

Who trusts Yichang Shih overall

  1. Yijun Li
  2. Yipin Zhou
  3. Jun-Yan Zhu
  4. Levent Karacan
  5. Artsiom Sanakoyeu
  6. Fujun Luan
  7. Jing Liao
  8. Michael Gharbi
  9. Tamara L. Berg
  10. Eli Shechtman

Papers from Yichang Shih's perspective

Ordered by how strongly the researchers Yichang Shih 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. ImageNet: A large-scale hierarchical image database
  5. Gradient-based learning applied to document recognition
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Long Short-Term Memory
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Going deeper with convolutions
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers