Ming Liu

Computer Vision and Pattern Recognition · IEEE International Conference on Robotics and Automation · 2009–2021

A researcher in the Science corpus: 27 papers; trusts 822 researchers and is trusted by 36 researchers here, as inferred from the citation graph.

Subfields

Whom Ming Liu trusts overall

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

  1. Diederik P. Kingma
  2. Geoffrey E. Hinton
  3. Yoshua Bengio
  4. Alex Krizhevsky
  5. Kaiming He
  6. Yann LeCun
  7. Ilya Sutskever
  8. Jimmy Ba
  9. Alex Graves
  10. Karen Simonyan

Who trusts Ming Liu overall

  1. Lei Tai
  2. Jingwei Zhang
  3. Jiayi Ma
  4. Tixiao Shan
  5. Hengli Wang
  6. Shansi Zhang
  7. Yuxiang Sun
  8. H. Wang
  9. Wolfram Burgard
  10. Sergey I. Nikolenko

Papers from Ming Liu's perspective

Ordered by how strongly the researchers Ming 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. Long Short-Term Memory
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Going deeper with convolutions
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers