Ajian Liu

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Ajian Liu trusts overall

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

  1. Kaiming He
  2. Jianwei Yang
  3. Zinelabinde Boulkenafet
  4. Davis E. King
  5. Amin Jourabloo
  6. Yaojie Liu
  7. Ivana Chingovska
  8. Zhen Lei
  9. Jukka Komulainen
  10. Alex Krizhevsky

Papers from Ajian Liu's perspective

Ordered by how strongly the researchers Ajian Liu 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: A large-scale hierarchical image database
  3. ImageNet classification with deep convolutional neural networks
  4. Gradient-based learning applied to document recognition
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Going deeper with convolutions
  7. ImageNet Large Scale Visual Recognition Challenge
  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