Guanglu Song

Computer Vision and Pattern Recognition · 2020–2024

A researcher in the Science corpus: 6 papers; trusts 1,167 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Guanglu Song trusts overall

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

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

Who trusts Guanglu Song overall

  1. Zhiqing Sun
  2. Xingyi Zhou
  3. Wenwei Zhang
  4. Depu Meng
  5. Juan R. Terven
  6. Shengcao Cao
  7. Vladlen Koltun
  8. Jianping Gou
  9. Xiaokang Chen

Papers from Guanglu Song's perspective

Ordered by how strongly the researchers Guanglu Song 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. Long Short-Term Memory
  7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  8. Gradient-based learning applied to document recognition
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Going deeper with convolutions

Their papers