Ligang Liu

Computer Vision and Pattern Recognition · 2002–2021

A researcher in the Science corpus: 8 papers; trusts 146 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

Whom Ligang Liu trusts overall

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

  1. Kaiming He
  2. Ross B. Girshick
  3. Michael S. Floater
  4. Geoffrey E. Hinton
  5. Diederik P. Kingma
  6. Alex Krizhevsky
  7. Tero Karras
  8. Karen Simonyan
  9. Sagi Katz
  10. Yoshua Bengio

Who trusts Ligang Liu overall

  1. Shahar Ziv Kovalsky
  2. Niloy J. Mitra
  3. Li Yi
  4. Vladimir G. Kim
  5. Meirav Galun

Papers from Ligang Liu's perspective

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

Their papers