Chew Lim Tan

Computer Vision and Pattern Recognition · 1998–2014

A researcher in the Science corpus: 9 papers; trusts 109 researchers and is trusted by 15 researchers here, as inferred from the citation graph.

Subfields

Whom Chew Lim Tan trusts overall

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

  1. David E. Rumelhart
  2. Thorsten Joachims
  3. Lukás Neumann
  4. Karen Spärck Jones
  5. J. Ross Quinlan
  6. Andreas S. Weigend
  7. Kai Wang
  8. Jiri Matas
  9. Simon M. M. Lucas
  10. Eugene Charniak

Who trusts Chew Lim Tan overall

  1. Lei Yu
  2. Huan Liu
  3. Pengyuan Lyu
  4. Jacinta Chan Phooi M’ng
  5. Shuo Xu
  6. Fragkiskos D. Malliaros
  7. Aaron Fisher
  8. M. Devika
  9. Baoguang Shi
  10. Manoranjan Dash

Papers from Chew Lim Tan's perspective

Ordered by how strongly the researchers Chew Lim Tan 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Going deeper with convolutions
  10. Learning Multiple Layers of Features from Tiny Images

Their papers