Jian Kang

Computer Vision and Pattern Recognition · with Duan · 2018–2020

A researcher in the Science corpus: 2 papers; trusts 88 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Jian Kang trusts overall

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

  1. Alex Krizhevsky
  2. Karen Simonyan
  3. Geoffrey E. Hinton
  4. Ilya Sutskever
  5. Andrew Zisserman
  6. Kaiming He
  7. David G. Lowe
  8. Jia Deng
  9. Yoshua Bengio
  10. Christian Szegedy

Who trusts Jian Kang overall

  1. Vladan Stojnić
  2. Wenyuan Li
  3. Haifeng Li
  4. Mat'ias Mendieta
  5. Vladimir Risojevic
  6. Keyan Chen

Papers from Jian Kang's perspective

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

Their papers