Shujun Wang

Computer Vision and Pattern Recognition · with Li · 2019–2020

A researcher in the Science corpus: 2 papers; trusts 74 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Shujun Wang trusts overall

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

  1. Kaiming He
  2. Geoffrey E. Hinton
  3. Alex Krizhevsky
  4. Da Li
  5. Ilya Sutskever
  6. Ross B. Girshick
  7. Yoshua Bengio
  8. Yann LeCun
  9. Diederik P. Kingma
  10. Kihyuk Sohn

Who trusts Shujun Wang overall

  1. Kaiyang Zhou
  2. Yong Zhang
  3. Quande Liu
  4. Ziwei Liu
  5. Yibing Song

Papers from Shujun Wang's perspective

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

Their papers