Qun Niu

Computer Vision and Pattern Recognition · with Liu · 2018

A researcher in the Science corpus: 1 paper; trusts 62 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Qun Niu trusts overall

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

  1. Diederik P. Kingma
  2. Karen Simonyan
  3. Andrew Zisserman
  4. Navneet Dalal
  5. Geoffrey E. Hinton
  6. Alex Krizhevsky
  7. Kaiming He
  8. Christian Szegedy

Papers from Qun Niu's perspective

Ordered by how strongly the researchers Qun Niu trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Going deeper with convolutions
  4. ImageNet classification with deep convolutional neural networks
  5. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Histograms of oriented gradients for human detection
  9. Attention is All you Need (Neural Information Processing Systems)
  10. Long Short-Term Memory

Their papers