Wei-Hong Li

Computer Vision and Pattern Recognition · 2021

A researcher in the Science corpus: 2 papers; trusts 532 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Wei-Hong Li trusts overall

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

  1. Geoffrey E. Hinton
  2. Kaiming He
  3. Alex Krizhevsky
  4. Yoshua Bengio
  5. Oriol Vinyals
  6. Yann LeCun
  7. Diederik P. Kingma
  8. Ilya Sutskever
  9. Andrew Zisserman
  10. Ross B. Girshick

Who trusts Wei-Hong Li overall

  1. Xialei Liu

Papers from Wei-Hong Li's perspective

Ordered by how strongly the researchers Wei-Hong Li 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. ImageNet: A large-scale hierarchical image database
  5. Gradient-based learning applied to document recognition
  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