Shun Lu

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 1 paper; trusts 53 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Shun Lu trusts overall

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

  1. Kaiming He
  2. Mingxing Tan
  3. Quoc V. Le
  4. Alex Krizhevsky
  5. Geoffrey E. Hinton
  6. Ross B. Girshick
  7. Karen Simonyan
  8. Tsung-Yi Lin
  9. Yoshua Bengio
  10. Shaoqing Ren

Papers from Shun Lu's perspective

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

Their papers