Chang Liu

Computer Vision and Pattern Recognition · with Ye · 2019–2021

A researcher in the Science corpus: 4 papers; trusts 517 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

Whom Chang Liu trusts overall

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

  1. Kaiming He
  2. Ross B. Girshick
  3. Alex Krizhevsky
  4. Geoffrey E. Hinton
  5. Karen Simonyan
  6. Yoshua Bengio
  7. Andrew Zisserman
  8. Yann LeCun
  9. Ilya Sutskever
  10. Shaoqing Ren

Who trusts Chang Liu overall

  1. Wentong Li
  2. Xingyi Zhou
  3. Juhong Min
  4. Binghao Liu
  5. Chunbo Lang
  6. Gengwei Zhang

Papers from Chang Liu's perspective

Ordered by how strongly the researchers Chang 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. Gradient-based learning applied to document recognition
  6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Long Short-Term Memory
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Going deeper with convolutions

Their papers