Hao Ye

Computer Vision and Pattern Recognition · with Wang · 2015–2017

A researcher in the Science corpus: 3 papers; trusts 403 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

Whom Hao Ye trusts overall

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

  1. Karen Simonyan
  2. Geoffrey E. Hinton
  3. Yoshua Bengio
  4. Andrew Zisserman
  5. Alex Graves
  6. Ross B. Girshick
  7. Alex Krizhevsky
  8. David G. Lowe
  9. Kaiming He
  10. Yann LeCun

Who trusts Hao Ye overall

  1. Xue Yang
  2. X. Wang
  3. Junchi Yan

Papers from Hao Ye's perspective

Ordered by how strongly the researchers Hao Ye 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. Long Short-Term Memory
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. ImageNet: A large-scale hierarchical image database
  6. Gradient-based learning applied to document recognition
  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. ImageNet Large Scale Visual Recognition Challenge

Their papers