Manhua Liu

Computer Vision and Pattern Recognition · with Wang · 2018–2019

A researcher in the Science corpus: 2 papers; trusts 22 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Manhua Liu trusts overall

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

  1. Matthew D. Zeiler
  2. Alex Krizhevsky
  3. Geoffrey E. Hinton
  4. Kaiming He
  5. D. Selkoe
  6. Ilya Sutskever
  7. Nitish Srivastava
  8. Yann LeCun
  9. Yoshua Bengio
  10. Rob Fergus

Who trusts Manhua Liu overall

  1. Arvid Lundervold
  2. Hadeer A. Helaly

Papers from Manhua Liu's perspective

Ordered by how strongly the researchers Manhua 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. Gradient-based learning applied to document recognition
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. ImageNet: A large-scale hierarchical image database
  6. Long Short-Term Memory
  7. Attention is All you Need (Neural Information Processing Systems)
  8. ImageNet Large Scale Visual Recognition Challenge
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers