Huihui Song

Computer Vision and Pattern Recognition · 2010–2013

A researcher in the Science corpus: 4 papers; trusts 44 researchers and is trusted by 10 researchers here, as inferred from the citation graph.

Subfields

Whom Huihui Song trusts overall

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

  1. Chunming Li
  2. Stanley J. Osher
  3. David L. Donoho
  4. Alexander Vasilevskiy
  5. William T. Freeman
  6. Mário A. T. Figueiredo
  7. Gilles Aubert
  8. Tony F. Chan
  9. Ron Rubinstein
  10. Jianchao Yang

Who trusts Huihui Song overall

  1. Qunming Wang
  2. Xiaolin Zhu
  3. Marc-Andre Carbonneau
  4. Peter M. Atkinson
  5. Yiming Li
  6. Pedram Ghamisi

Papers from Huihui Song's perspective

Ordered by how strongly the researchers Huihui 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. Gradient-based learning applied to document recognition
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  6. ImageNet: A large-scale hierarchical image database
  7. Snakes: Active contour models
  8. Long Short-Term Memory
  9. Learning Multiple Layers of Features from Tiny Images
  10. Going deeper with convolutions

Their papers