Kun Qian

Computer Vision and Pattern Recognition · with Claudel · 2020

A researcher in the Science corpus: 1 paper; trusts 31 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Kun Qian trusts overall

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

  1. Thomas Kipf
  2. Max Welling
  3. Kaiming He
  4. Geoffrey E. Hinton
  5. Diederik P. Kingma
  6. Alex Krizhevsky
  7. Rianne van den Berg
  8. Amir Sadeghian
  9. X. Zhang
  10. Yoshua Bengio

Who trusts Kun Qian overall

  1. Zikang Zhou
  2. Shao-Wei Liu

Papers from Kun Qian's perspective

Ordered by how strongly the researchers Kun Qian 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. Attention is All you Need (Neural Information Processing Systems)
  5. Long Short-Term Memory
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Going deeper with convolutions
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers