Run Wang

Computer Vision and Pattern Recognition · with Juefei-Xu · 2019

A researcher in the Science corpus: 1 paper; trusts 32 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Run Wang trusts overall

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

  1. Karen Simonyan
  2. Kaiming He
  3. Tero Karras
  4. Andrew Zisserman
  5. François Chollet
  6. Geoffrey E. Hinton
  7. Alex Krizhevsky
  8. Diederik P. Kingma
  9. Yoshua Bengio
  10. Yann LeCun

Who trusts Run Wang overall

  1. Momina Masood
  2. Lingzhi Li

Papers from Run Wang's perspective

Ordered by how strongly the researchers Run 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  5. Gradient-based learning applied to document recognition
  6. ImageNet: A large-scale hierarchical image database
  7. Long Short-Term Memory
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Going deeper with convolutions
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers