Jinke Yu

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 2 papers; trusts 391 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Jinke Yu trusts overall

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

  1. Ross B. Girshick
  2. Kaiming He
  3. Geoffrey E. Hinton
  4. Shaoqing Ren
  5. Alex Krizhevsky
  6. Yoshua Bengio
  7. Yann LeCun
  8. Tsung-Yi Lin
  9. Karen Simonyan
  10. Diederik P. Kingma

Papers from Jinke Yu's perspective

Ordered by how strongly the researchers Jinke 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. ImageNet: A large-scale hierarchical image database
  5. Gradient-based learning applied to document recognition
  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. Going deeper with convolutions
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers