Yiming Liu

Computer Vision and Pattern Recognition · with Agarwala · 2017

A researcher in the Science corpus: 1 paper; trusts 79 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Yiming Liu trusts overall

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

  1. Alex Krizhevsky
  2. Geoffrey E. Hinton
  3. Karen Simonyan
  4. Nitish Srivastava
  5. Sergey Ioffe
  6. Yann LeCun
  7. Ilya Sutskever
  8. Diederik P. Kingma
  9. Andrew Zisserman
  10. Yoshua Bengio

Who trusts Yiming Liu overall

  1. Simon Niklaus

Papers from Yiming Liu's perspective

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

Their papers