Ke Yu

Computer Vision and Pattern Recognition · 2018–2020

A researcher in the Science corpus: 2 papers; trusts 161 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

Whom Ke Yu trusts overall

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

  1. Kaiming He
  2. Diederik P. Kingma
  3. Geoffrey E. Hinton
  4. Karen Simonyan
  5. Christian Szegedy
  6. Alex Krizhevsky
  7. Sergey Ioffe
  8. Yann LeCun
  9. Yoshua Bengio
  10. Andrew Zisserman

Who trusts Ke Yu overall

  1. Kai Zhang
  2. Andreas Lugmayr
  3. Radu Timofte
  4. Jinjin Gu
  5. Yochai Blau
  6. Jingyun Liang
  7. Xintao Wang
  8. Chao Dong
  9. Weihao Xia
  10. Saeed Anwar

Papers from Ke Yu's perspective

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

Their papers