Miao Liu

Computer Vision and Pattern Recognition · with Li · 2018–2023

A researcher in the Science corpus: 5 papers; trusts 844 researchers and is trusted by 16 researchers here, as inferred from the citation graph.

Subfields

Whom Miao Liu trusts overall

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

  1. Andrew Zisserman
  2. Ross B. Girshick
  3. Diederik P. Kingma
  4. Kaiming He
  5. Karen Simonyan
  6. Geoffrey E. Hinton
  7. Alex Krizhevsky
  8. Yin Li
  9. Yoshua Bengio
  10. Yann LeCun

Who trusts Miao Liu overall

  1. Antonino Furnari
  2. Shao-Wei Liu
  3. Giovanni Maria Farinella
  4. Ruohan Zhang
  5. Francesco Ragusa
  6. Tushar Nagarajan
  7. Kristen Grauman
  8. Subarna Tripathi
  9. Chenxu Luo
  10. Lingzhi Zhang

Papers from Miao Liu's perspective

Ordered by how strongly the researchers Miao Liu 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. Going deeper with convolutions
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers