Jaime Lien

Computer Vision and Pattern Recognition · with Poupyrev · 2016

A researcher in the Science corpus: 2 papers; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Jaime Lien trusts overall

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

  1. Radford M. Neal
  2. Isabelle M Guyon
  3. Stuart Card
  4. Andre´ Elisseeff
  5. Karen Simonyan
  6. David Kim
  7. Alex Graves

Who trusts Jaime Lien overall

  1. Jing Zhang
  2. Saiwen Wang
  3. Fan Liu
  4. Dacheng Tao

Papers from Jaime Lien's perspective

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

Their papers