Song Zhang

Computer Vision and Pattern Recognition · Comput. Aided Des. · 2006–2020

A researcher in the Science corpus: 9 papers; trusts 117 researchers and is trusted by 12 researchers here, as inferred from the citation graph.

Subfields

Whom Song Zhang trusts overall

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

  1. Peisen Huang
  2. Qian Kemao
  3. Li Zhang
  4. Zhengyou Zhang
  5. Szymon Rusinkiewicz
  6. X. Su
  7. James Davis
  8. Zonghua Zhang
  9. Brian Curless
  10. Vladimir Kolmogorov

Who trusts Song Zhang overall

  1. Sam Van der Jeught
  2. Joris J. J. Dirckx
  3. S. S. Gorthi
  4. Chao Zuo
  5. Daniel Moreno
  6. Jing Xu
  7. Daniel Vlasic
  8. P. Rastogi
  9. Gabriel Taubin
  10. Zonghua Zhang

Papers from Song Zhang's perspective

Ordered by how strongly the researchers Song 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. Gradient-based learning applied to document recognition
  4. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  5. Long Short-Term Memory
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. ImageNet: A large-scale hierarchical image database
  8. ImageNet Large Scale Visual Recognition Challenge
  9. Attention is All you Need (Neural Information Processing Systems)
  10. Distinctive Image Features from Scale-Invariant Keypoints

Their papers