Dun Liang

Computer Vision and Pattern Recognition · 2016

A researcher in the Science corpus: 1 paper; trusts 79 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Dun Liang trusts overall

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

  1. Ross B. Girshick
  2. Alex Krizhevsky
  3. Christian Szegedy
  4. Kaiming He
  5. Geoffrey E. Hinton
  6. Yann LeCun
  7. Ilya Sutskever
  8. Shaoqing Ren
  9. Pierre Sermanet
  10. Yoshua Bengio

Who trusts Dun Liang overall

  1. Domen Tabernik

Papers from Dun Liang's perspective

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

Their papers