Lei Luo

Computer Vision and Pattern Recognition · 2014–2022

A researcher in the Science corpus: 2 papers; trusts 13 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Lei Luo trusts overall

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

  1. Geoffrey E. Hinton
  2. John Wright
  3. E.J. Candes
  4. Rodolphe Jenatton
  5. Koray Kavukcuoglu
  6. Yoshua Bengio
  7. Bingsheng He
  8. Ran He
  9. Pierre-Louis Lions
  10. Yann LeCun

Papers from Lei Luo's perspective

Ordered by how strongly the researchers Lei 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. GENERATIVE ADVERSARIAL NETS
  5. Gradient-based learning applied to document recognition
  6. Long Short-Term Memory
  7. Learning Multiple Layers of Features from Tiny Images
  8. ImageNet: A large-scale hierarchical image database
  9. Distilling the Knowledge in a Neural Network (arXiv.org)
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers