Shijun Wang

Computer Vision and Pattern Recognition · with Summers · 2012–2014

A researcher in the Science corpus: 3 papers; trusts 106 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

Whom Shijun Wang trusts overall

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

  1. Teuvo Kohonen
  2. Radford M. Neal
  3. C. Burges
  4. Leo Breiman
  5. John Ashburner
  6. Ron Kohavi
  7. Ian T. Jolliffe
  8. Geoffrey E. Hinton
  9. Sally A. Goldman
  10. Leo J. Grady

Who trusts Shijun Wang overall

  1. Maciej A. Mazurowski
  2. Michael Yeung
  3. G. Handelman
  4. Mateusz Buda
  5. Evis Sala
  6. H. Kok
  7. Ryuji Hamamoto
  8. Ashirbani Saha
  9. Carola-Bibiane Schönlieb

Papers from Shijun Wang's perspective

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

Their papers