Y. Gan

Computer Vision and Pattern Recognition · with Wang · 2017

A researcher in the Science corpus: 2 papers; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Y. Gan trusts overall

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

  1. Geoffrey E. Hinton
  2. Vladimir Kolmogorov
  3. Alex Krizhevsky
  4. Saining Xie
  5. Kaiming He
  6. Yann LeCun
  7. Charles Ruizhongtai Qi
  8. Michael Edwards
  9. Yoshua Bengio
  10. Karen Simonyan

Papers from Y. Gan's perspective

Ordered by how strongly the researchers Y. Gan trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. ImageNet classification with deep convolutional neural networks
  3. Gradient-based learning applied to document recognition
  4. ImageNet: A large-scale hierarchical image database
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Long Short-Term Memory
  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. ImageNet Large Scale Visual Recognition Challenge
  10. Going deeper with convolutions

Their papers