Zengchang Qin

Computer Vision and Pattern Recognition · 2008–2019

A researcher in the Science corpus: 4 papers; trusts 318 researchers and is trusted by 12 researchers here, as inferred from the citation graph.

Subfields

Whom Zengchang Qin trusts overall

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

  1. Geoffrey E. Hinton
  2. Kaiming He
  3. Alex Krizhevsky
  4. Karen Simonyan
  5. Yoshua Bengio
  6. Diederik P. Kingma
  7. Ilya Sutskever
  8. Yann LeCun
  9. Ross B. Girshick
  10. Andrew Zisserman

Who trusts Zengchang Qin overall

  1. Ekin Dogus Cubuk
  2. Phong Le
  3. Harish Tayyar Madabushi

Papers from Zengchang Qin's perspective

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

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

Their papers