Lisen Mu

Computer Vision and Pattern Recognition · 2018–2019

A researcher in the Science corpus: 2 papers; trusts 143 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Lisen Mu trusts overall

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

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

Papers from Lisen Mu's perspective

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

Their papers