Liu Liu

Computer Vision and Pattern Recognition · with Liu · 2014–2019

A researcher in the Science corpus: 5 papers; trusts 141 researchers and is trusted by 51 researchers here, as inferred from the citation graph.

Subfields

Whom Liu Liu trusts overall

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

  1. George V. Moustakides
  2. Matthew D. Zeiler
  3. Geoffrey E. Hinton
  4. Kaiming He
  5. Yann LeCun
  6. Alex Krizhevsky
  7. Rob Fergus
  8. Giovanna Capizzi
  9. Herv'e J'egou
  10. Yoshua Bengio

Who trusts Liu Liu overall

  1. Song Han
  2. Marien Alet Graham
  3. Yunhe Wang
  4. Yunhui Guo
  5. Suraj Srinivas
  6. Jia-Nan Wu
  7. Itay Hubara
  8. Pierre Stock
  9. Angela Fan
  10. Armand Joulin

Papers from Liu Liu's perspective

Ordered by how strongly the researchers Liu 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. Long Short-Term Memory
  5. Gradient-based learning applied to document recognition
  6. Attention is All you Need (Neural Information Processing Systems)
  7. ImageNet: A large-scale hierarchical image database
  8. Going deeper with convolutions
  9. Learning Multiple Layers of Features from Tiny Images
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers