Hui Liang

Computer Vision and Pattern Recognition · with Thalmann · 2014–2016

A researcher in the Science corpus: 2 papers; trusts 135 researchers and is trusted by 12 researchers here, as inferred from the citation graph.

Subfields

Whom Hui Liang trusts overall

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

  1. Cem Keskin
  2. Julian Besag
  3. Jamie Shotton
  4. Joseph Tighe
  5. Robert Y. Wang
  6. Yann LeCun
  7. Mustafa Furkan Kıraç
  8. Geoffrey E. Hinton
  9. John P. Lewis
  10. Alex Krizhevsky

Who trusts Hui Liang overall

  1. Gyeongsik Moon
  2. Xiao Sun
  3. Sergio Escalera
  4. Chong Wang
  5. Yichen Wei
  6. Vassilis Athitsos
  7. Zhong Liu
  8. Franziska Mueller
  9. Shuang Liang
  10. Xingyi Zhou

Papers from Hui Liang's perspective

Ordered by how strongly the researchers Hui 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. ImageNet Large Scale Visual Recognition Challenge
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Going deeper with convolutions

Their papers