Junqing Yu

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 87 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Junqing Yu trusts overall

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

  1. Diederik P. Kingma
  2. Kaiming He
  3. Geoffrey E. Hinton
  4. L. Eon Bottou
  5. Alex Krizhevsky
  6. Yoshua Bengio
  7. Judy Hoffman
  8. Yann LeCun
  9. Karen Simonyan
  10. Ross B. Girshick

Who trusts Junqing Yu overall

  1. Yi Yang

Papers from Junqing Yu's perspective

Ordered by how strongly the researchers Junqing 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  6. Gradient-based learning applied to document recognition
  7. GENERATIVE ADVERSARIAL NETS
  8. Long Short-Term Memory
  9. Attention is All you Need (Neural Information Processing Systems)
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers