Peng Hu

Computer Vision and Pattern Recognition · AAAI Conference on Artificial Intelligence · 2019–2022

A researcher in the Science corpus: 5 papers; trusts 462 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Peng Hu trusts overall

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

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

Who trusts Peng Hu overall

  1. Erlin Pan

Papers from Peng Hu's perspective

Ordered by how strongly the researchers Peng Hu 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. Long Short-Term Memory
  5. Attention is All you Need (Neural Information Processing Systems)
  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. ImageNet Large Scale Visual Recognition Challenge
  10. Learning Multiple Layers of Features from Tiny Images

Their papers