Jianhui Liu

Computer Vision and Pattern Recognition · with Jia · 2022–2023

A researcher in the Science corpus: 2 papers; trusts 102 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Jianhui Liu trusts overall

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

  1. Kaiming He
  2. Geoffrey E. Hinton
  3. Alex Krizhevsky
  4. Charles Ruizhongtai Qi
  5. Ross B. Girshick
  6. Diederik P. Kingma
  7. Yoshua Bengio
  8. Yann LeCun
  9. Jimmy Ba
  10. Ilya Sutskever

Papers from Jianhui Liu's perspective

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

Their papers