Lingjie Liu

Computer Vision and Pattern Recognition · 2020–2023

A researcher in the Science corpus: 7 papers; trusts 609 researchers and is trusted by 32 researchers here, as inferred from the citation graph.

Subfields

Whom Lingjie Liu trusts overall

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

  1. Tero Karras
  2. Diederik P. Kingma
  3. Geoffrey E. Hinton
  4. Alex Krizhevsky
  5. Kaiming He
  6. Vincent Sitzmann
  7. Yoshua Bengio
  8. Samuli Laine
  9. Yann LeCun
  10. Ilya Sutskever

Who trusts Lingjie Liu overall

  1. Jonathan T. Barron
  2. Michael Niemeyer
  3. Pratul P. Srinivasan
  4. Anpei Chen
  5. Andreas Geiger
  6. Matthew Tancik
  7. Ben Mildenhall
  8. Hengyi Wang
  9. Zehao Yu
  10. Eric Chan

Papers from Lingjie Liu's perspective

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

Their papers