Sen Liang

Computer Vision and Pattern Recognition · 2021

A researcher in the Science corpus: 1 paper; trusts 28 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Sen Liang trusts overall

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

  1. Justus Thies
  2. Joon Son Chung
  3. Diederik P. Kingma
  4. Andrew Zisserman
  5. Geoffrey E. Hinton
  6. Jimmy Ba
  7. Alex Krizhevsky

Papers from Sen Liang's perspective

Ordered by how strongly the researchers Sen Liang trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. ImageNet classification with deep convolutional neural networks
  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. ImageNet Large Scale Visual Recognition Challenge
  8. Long Short-Term Memory
  9. Gradient-based learning applied to document recognition
  10. Going deeper with convolutions

Their papers