Runzhong Wang

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 81 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Runzhong Wang trusts overall

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

  1. Kaiming He
  2. Jifeng Dai
  3. Ross B. Girshick
  4. Geoffrey E. Hinton
  5. Alex Krizhevsky
  6. Piotr Doll'ar
  7. Tsung-Yi Lin
  8. Yann LeCun
  9. Karen Simonyan
  10. Yoshua Bengio

Who trusts Runzhong Wang overall

  1. Ekin Dogus Cubuk
  2. Jianwei Yang

Papers from Runzhong Wang's perspective

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

Their papers