Tsung-Han Chan

Computer Vision and Pattern Recognition · 2009–2014

A researcher in the Science corpus: 5 papers; trusts 197 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Tsung-Han Chan trusts overall

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

  1. Geoffrey E. Hinton
  2. Yoshua Bengio
  3. Alex Krizhevsky
  4. Yann LeCun
  5. David G. Lowe
  6. Kai Yu
  7. Kaiming He
  8. Matthew D. Zeiler
  9. Diederik P. Kingma
  10. Jose M. P. Nascimento

Who trusts Tsung-Han Chan overall

  1. José M. Bioucas-Dias
  2. Li Liu
  3. Yanan Sun
  4. Mehrtash Harandi
  5. Vladimir Risojevic
  6. Hossein Gholamalinezhad
  7. John E. Ball
  8. Loris Nanni
  9. Grant Haskins
  10. Yanis Bahroun

Papers from Tsung-Han Chan's perspective

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

Their papers