Xiao Liang

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 604 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

Whom Xiao Liang trusts overall

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

  1. Ross B. Girshick
  2. Geoffrey E. Hinton
  3. Yann LeCun
  4. Karen Simonyan
  5. Kaiming He
  6. Christian Szegedy
  7. Navneet Dalal
  8. Alex Krizhevsky
  9. Shaoqing Ren
  10. Andrew Zisserman

Who trusts Xiao Liang overall

  1. Billie F. Spencer Jr.
  2. Sandeep Sony
  3. Vedhus Hoskere
  4. Kyle Dunphy
  5. Yasutaka Narazaki
  6. Mohammad Amin Nabian
  7. Ayan Sadhu
  8. M. Flah
  9. Miriam A. M. Capretz

Papers from Xiao Liang's perspective

Ordered by how strongly the researchers Xiao Liang 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. Going deeper with convolutions
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers