Song Bai

Computer Vision and Pattern Recognition · 2015–2023

A researcher in the Science corpus: 22 papers; trusts 1,957 researchers and is trusted by 110 researchers here, as inferred from the citation graph.

Subfields

Whom Song Bai trusts overall

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

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

Who trusts Song Bai overall

  1. Liang Zheng
  2. Mang Ye
  3. Jing Huang
  4. Kai Han
  5. Alexander Hermans
  6. Min Liu
  7. Peng Tang
  8. Xinwei He
  9. Peng-Shuai Wang
  10. Asako Kanezaki

Papers from Song Bai's perspective

Ordered by how strongly the researchers Song Bai 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. Attention is All you Need (Neural Information Processing Systems)
  6. Long Short-Term Memory
  7. Gradient-based learning applied to document recognition
  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