Hongfei Zhou

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 200 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom Hongfei Zhou trusts overall

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

  1. Jia Deng
  2. Kaiming He
  3. Yoshua Bengio
  4. Geoffrey E. Hinton
  5. Alex Krizhevsky
  6. Ross B. Girshick
  7. Richard Socher
  8. Diederik P. Kingma
  9. Yann LeCun
  10. Ilya Sutskever

Who trusts Hongfei Zhou overall

  1. John Lambert
  2. Xiaodan Liang
  3. Zhuang Liu
  4. Zilong Huang
  5. Xia Li

Papers from Hongfei Zhou's perspective

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

Their papers