Kang Li

Computer Vision and Pattern Recognition · with Fu · 2012–2019

A researcher in the Science corpus: 3 papers; trusts 728 researchers and is trusted by 16 researchers here, as inferred from the citation graph.

Subfields

Whom Kang Li trusts overall

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

  1. Ivan Laptev
  2. Geoffrey E. Hinton
  3. Juan Carlos Niebles
  4. Alex Krizhevsky
  5. Kaiming He
  6. Yoshua Bengio
  7. Ilya Sutskever
  8. Ross B. Girshick
  9. Abhinav Kumar Gupta
  10. Diederik P. Kingma

Who trusts Kang Li overall

  1. Yong Du
  2. Tahmida Binte Mahmud
  3. Yu Kong
  4. Wenwen Ding
  5. Xionghui Wang
  6. Yun Raymond Fu
  7. Jianfang Hu
  8. Alexandre Alahi
  9. Jun Liu
  10. Mahmudul Hasan

Papers from Kang Li's perspective

Ordered by how strongly the researchers Kang 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. Long Short-Term Memory
  5. ImageNet: A large-scale hierarchical image database
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Gradient-based learning applied to document recognition
  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