Jie Song

Computer Vision and Pattern Recognition · with Wang · 2016–2022

A researcher in the Science corpus: 10 papers; trusts 827 researchers and is trusted by 11 researchers here, as inferred from the citation graph.

Subfields

Whom Jie Song trusts overall

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

  1. Karen Simonyan
  2. Alex Krizhevsky
  3. Kaiming He
  4. Geoffrey E. Hinton
  5. Ross B. Girshick
  6. Andrew Zisserman
  7. Diederik P. Kingma
  8. Yoshua Bengio
  9. Yann LeCun
  10. Ilya Sutskever

Who trusts Jie Song overall

  1. Christos Sakaridis
  2. Lin Wang
  3. Dengxin Dai
  4. S. Gürbüz
  5. Jianping Gou
  6. Adnane Boukhayma
  7. Olivia Wiles
  8. Chaoyun Zhang
  9. Liuhao Ge
  10. Xinchao Wang

Papers from Jie Song's perspective

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