Jiankun Li

Computer Vision and Pattern Recognition · 2022

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Jiankun Li trusts overall

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

  1. Heiko Hirschmüller
  2. Diederik P. Kingma
  3. Zachary Teed
  4. Yann LeCun
  5. Jia Deng
  6. Geoffrey E. Hinton
  7. Kaiming He
  8. Alex Krizhevsky
  9. Jimmy Ba
  10. Yuri Boykov

Who trusts Jiankun Li overall

  1. Timm Haucke
  2. Haofei Xu

Papers from Jiankun Li's perspective

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

Their papers