Yu Yang

Computer Vision and Pattern Recognition · with Bajaj · 2018

A researcher in the Science corpus: 1 paper; trusts 121 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Yu Yang trusts overall

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

  1. Ross B. Girshick
  2. Kaiming He
  3. Alex Krizhevsky
  4. Geoffrey E. Hinton
  5. Jifeng Dai
  6. Shaoqing Ren
  7. Karen Simonyan
  8. Yoshua Bengio
  9. Yann LeCun
  10. Andrew Zisserman

Papers from Yu Yang's perspective

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

Their papers