Song Wang

Computer Vision and Pattern Recognition · Pattern Recognition Letters · 2012–2020

A researcher in the Science corpus: 10 papers; trusts 739 researchers and is trusted by 17 researchers here, as inferred from the citation graph.

Subfields

Whom Song Wang trusts overall

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

  1. Alex Krizhevsky
  2. Geoffrey E. Hinton
  3. Kaiming He
  4. Ross B. Girshick
  5. Karen Simonyan
  6. Yann LeCun
  7. Andrew Zisserman
  8. Christian Szegedy
  9. Ilya Sutskever
  10. Yoshua Bengio

Who trusts Song Wang overall

  1. Li Fei-Fei
  2. Luc Van Gool
  3. Houwen Peng
  4. Xiaogang Wang
  5. Martin Danelljan
  6. Zhipeng Zhang
  7. Bastian Leibe
  8. Yun Raymond Fu
  9. Qiang Wang
  10. Cordelia Schmid

Papers from Song Wang's perspective

Ordered by how strongly the researchers Song Wang trusts endorse each paper. Same corpus, a different order for every researcher.

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. ImageNet: A large-scale hierarchical image database
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Gradient-based learning applied to document recognition
  6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  7. Long Short-Term Memory
  8. Attention is All you Need (Neural Information Processing Systems)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Going deeper with convolutions

Their papers