Hui Li

Computer Vision and Pattern Recognition · with Bao · 2011–2020

A researcher in the Science corpus: 2 papers; trusts 46 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Hui Li trusts overall

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

  1. Yuequan Bao
  2. Zhiyi Tang
  3. Yoshua Bengio
  4. Johannes L. Schönberger
  5. Yuqing Gao
  6. Jia Deng
  7. Billie F. Spencer Jr.
  8. Geoffrey E. Hinton
  9. Alex Krizhevsky
  10. Zhicheng Chen

Papers from Hui Li's perspective

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

Their papers