Jiaru Song

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 1 paper; trusts 25 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Jiaru Song trusts overall

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

  1. Kaiming He
  2. Yu Xiang
  3. Ross B. Girshick
  4. Kiru Park
  5. X. Zhang
  6. Shaoqing Ren
  7. Geoffrey E. Hinton
  8. Yi Li
  9. Diederik P. Kingma
  10. Alex Krizhevsky

Who trusts Jiaru Song overall

  1. Huan Fu

Papers from Jiaru Song's perspective

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

Their papers