Li Luo

Computer Vision and Pattern Recognition · 2021

A researcher in the Science corpus: 1 paper; trusts 797 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

Whom Li Luo trusts overall

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

  1. Tero Karras
  2. Kaiming He
  3. Geoffrey E. Hinton
  4. Diederik P. Kingma
  5. Alex Krizhevsky
  6. Ross B. Girshick
  7. Ming-Yu Liu
  8. Yoshua Bengio
  9. Individualized Treat
  10. Yann LeCun

Who trusts Li Luo overall

  1. Rinon Gal
  2. Or Patashnik
  3. Haggai Maron
  4. Yuval Alaluf

Papers from Li Luo's perspective

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

Their papers