Andrew Liu

Computer Vision and Pattern Recognition · with Deng · 2021

A researcher in the Science corpus: 1 paper; trusts 54 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Andrew Liu trusts overall

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

  1. Diederik P. Kingma
  2. Geoffrey E. Hinton
  3. Kaiming He
  4. Alex Krizhevsky
  5. Chelsea Finn
  6. Johannes L. Schönberger
  7. Matthew Tancik
  8. Yoshua Bengio
  9. Richard Zhang
  10. Zhiqin Chen

Who trusts Andrew Liu overall

  1. Jonathan T. Barron
  2. Yiyi Liao
  3. Antoni Rosinol
  4. Cheng Sun
  5. Guangcong Wang
  6. Michael Niemeyer
  7. Ben Mildenhall
  8. Wenjing Bian
  9. Chaozheng Wu
  10. Barbara Roessle

Papers from Andrew Liu's perspective

Ordered by how strongly the researchers Andrew 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. ImageNet: A large-scale hierarchical image database
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  7. Gradient-based learning applied to document recognition
  8. Long Short-Term Memory
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. GENERATIVE ADVERSARIAL NETS

Their papers