Jing Liao

Computer Vision and Pattern Recognition · 2017–2021

A researcher in the Science corpus: 13 papers; trusts 1,250 researchers and is trusted by 19 researchers here, as inferred from the citation graph.

Subfields

Whom Jing Liao trusts overall

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

  1. Alex Krizhevsky
  2. Geoffrey E. Hinton
  3. Kaiming He
  4. Diederik P. Kingma
  5. David G. Lowe
  6. Karen Simonyan
  7. Ilya Sutskever
  8. Yoshua Bengio
  9. Ross B. Girshick
  10. Yann LeCun

Who trusts Jing Liao overall

  1. Yijun Li
  2. Nicholas I. Kolkin
  3. Lu Sheng
  4. Yang Chen
  5. Artsiom Sanakoyeu
  6. Aliaksandr Siarohin
  7. Shuang Ma
  8. Xiaoyu Li
  9. Ran Yi
  10. David Bau

Papers from Jing Liao's perspective

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

Their papers