Song-Hai Zhang

Computer Vision and Pattern Recognition · with Hu · 2016–2021

A researcher in the Science corpus: 4 papers; trusts 548 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Song-Hai Zhang trusts overall

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

  1. Kaiming He
  2. Ross B. Girshick
  3. Alex Krizhevsky
  4. Shaoqing Ren
  5. Geoffrey E. Hinton
  6. Yann LeCun
  7. Jitendra Malik
  8. X. Zhang
  9. Yoshua Bengio
  10. Karen Simonyan

Who trusts Song-Hai Zhang overall

  1. Peng Xu
  2. Yufei Xu
  3. Jing Zhang
  4. Timothy M. Hospedales

Papers from Song-Hai Zhang's perspective

Ordered by how strongly the researchers Song-Hai Zhang 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. 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