Mu Hu

Computer Vision and Pattern Recognition · with Fan · 2021

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Mu Hu trusts overall

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

  1. Diederik P. Kingma
  2. Fisher Yu
  3. Andreas Geiger
  4. Jimmy Ba
  5. Kaiming He
  6. David Eigen
  7. Geoffrey E. Hinton
  8. Alex Krizhevsky
  9. Xinjing Cheng
  10. Ross B. Girshick

Who trusts Mu Hu overall

  1. Tianwei Yin
  2. Mu Hu
  3. Xingyi Zhou

Papers from Mu Hu's perspective

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

Their papers