Runsheng Wang

Computer Vision and Pattern Recognition · with Guo · 2007–2010

A researcher in the Science corpus: 2 papers; trusts 28 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

Whom Runsheng Wang trusts overall

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

  1. S. Li
  2. Sanjiv Kumar
  3. Harry Shum
  4. John D. Lafferty
  5. Ariadna Quattoni
  6. Vladimir Naumovich Vapni
  7. Xuming He
  8. Thomas G. Dietterich
  9. Geoffrey E. Hinton
  10. Antonio Torralba

Who trusts Runsheng Wang overall

  1. Geoffrey E. Hinton
  2. Yassine Yaakoubi
  3. Gong Cheng
  4. Volodymyr Mnih

Papers from Runsheng Wang's perspective

Ordered by how strongly the researchers Runsheng 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. Gradient-based learning applied to document recognition
  4. ImageNet: A large-scale hierarchical image database
  5. Long Short-Term Memory
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. ImageNet Large Scale Visual Recognition Challenge
  9. Learning Multiple Layers of Features from Tiny Images
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers