Haorong Chen

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 142 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Haorong Chen trusts overall

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

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

Who trusts Haorong Chen overall

  1. Deng-Ping Fan
  2. Hao Chen
  3. Keren Fu
  4. Nian Liu
  5. Yongri Piao

Papers from Haorong Chen's perspective

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

Their papers