Li Jiang

Computer Vision and Pattern Recognition · 2019–2022

A researcher in the Science corpus: 9 papers; trusts 963 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

Whom Li Jiang trusts overall

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

  1. Kaiming He
  2. Ross B. Girshick
  3. Geoffrey E. Hinton
  4. Alex Krizhevsky
  5. Charles Ruizhongtai Qi
  6. Yann LeCun
  7. Diederik P. Kingma
  8. Yoshua Bengio
  9. Karen Simonyan
  10. Shaoqing Ren

Who trusts Li Jiang overall

  1. Xiaoyang Wu
  2. Shaoshuai Shi
  3. Yiyi Liao
  4. Dávid Rozenberszki
  5. Jonas Schult
  6. Ishan Misra
  7. Ji Hou
  8. Christopher Xie
  9. Chandan Yeshwanth
  10. Thang Vu

Papers from Li Jiang's perspective

Ordered by how strongly the researchers Li Jiang 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. Attention is All you Need (Neural Information Processing Systems)
  6. Gradient-based learning applied to document recognition
  7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  8. Long Short-Term Memory
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Going deeper with convolutions

Their papers