Cheston Tan

Computer Vision and Pattern Recognition · 2013–2021

A researcher in the Science corpus: 8 papers; trusts 631 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

Whom Cheston Tan trusts overall

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

  1. Geoffrey E. Hinton
  2. Yoshua Bengio
  3. Kaiming He
  4. Alex Krizhevsky
  5. Diederik P. Kingma
  6. Yann LeCun
  7. Tomaso A. Poggio
  8. Ronald J. Williams
  9. Ross B. Girshick
  10. Ilya Sutskever

Who trusts Cheston Tan overall

  1. Joel Z. Leibo
  2. German Ignacio Parisi
  3. Jiafei Duan
  4. Qianli Liao
  5. Cornelius Weber

Papers from Cheston Tan's perspective

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

Their papers