LinLin Shen

Computer Vision and Pattern Recognition · 2006–2020

A researcher in the Science corpus: 5 papers; trusts 459 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom LinLin Shen trusts overall

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

  1. Chengjun Liu
  2. Geoffrey E. Hinton
  3. Alex Krizhevsky
  4. Diederik P. Kingma
  5. Karen Simonyan
  6. Matthew A. Turk
  7. Kaiming He
  8. Hua Yu
  9. Yann LeCun
  10. R. Fisher

Who trusts LinLin Shen overall

  1. U. Shapira
  2. Eitan Richardson
  3. Christopher Thomas
  4. Meng Yang
  5. Ittai Herrmann
  6. Rogelio Andrade Mancisidor
  7. Hieu V. Nguyen

Papers from LinLin Shen's perspective

Ordered by how strongly the researchers LinLin Shen 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Gradient-based learning applied to document recognition
  5. ImageNet: A large-scale hierarchical image database
  6. Long Short-Term Memory
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers