Jie Qiu

Computer Vision and Pattern Recognition · with Fu · 2017

A researcher in the Science corpus: 1 paper; trusts 74 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Jie Qiu trusts overall

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

  1. Geoffrey E. Hinton
  2. Diederik P. Kingma
  3. Kaiming He
  4. Alex Krizhevsky
  5. Liang Zheng
  6. Karen Simonyan

Papers from Jie Qiu's perspective

Ordered by how strongly the researchers Jie Qiu 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. GENERATIVE ADVERSARIAL NETS
  5. ImageNet: A large-scale hierarchical image database
  6. Et al
  7. Gradient-based learning applied to document recognition
  8. Long Short-Term Memory
  9. Going deeper with convolutions
  10. Attention is All you Need (Neural Information Processing Systems)

Their papers