Song Wang

IEEE Transactions on Pattern Analysis and Machine Intelligence · with Siskind · 2003

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Song Wang trusts overall

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

  1. Jitendra Malik
  2. Eitan Sharon
  3. Jianbo Shi
  4. Serge J. Belongie
  5. Achi Brandt
  6. Ronen Basri
  7. Thomas K. Leung

Who trusts Song Wang overall

  1. João Carreira
  2. Cristian Sminchisescu
  3. Giuseppe Papari
  4. Bo Peng
  5. Wenbing Tao
  6. Ali Borji
  7. Jinhui Yuan
  8. N. Petkov
  9. Lei Zhang
  10. Hai Jin

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. 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. ImageNet: A large-scale hierarchical image database
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Going deeper with convolutions
  7. ImageNet Large Scale Visual Recognition Challenge
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Long Short-Term Memory

Their papers