Weihua Chen

Computer Vision and Pattern Recognition · with Chen · 2017

A researcher in the Science corpus: 1 paper; trusts 160 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Weihua Chen trusts overall

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

  1. Wei Li
  2. Alex Krizhevsky
  3. Rui Zhao
  4. Geoffrey E. Hinton
  5. Xiaogang Wang
  6. Shengcai Liao
  7. Rahul Rama Varior
  8. Ilya Sutskever
  9. Kaiming He
  10. Chi Su

Who trusts Weihua Chen overall

  1. Hehe Fan
  2. Cheng Wang
  3. Sixing Hu
  4. Jing Xu
  5. Tianyuan Yu
  6. Jérôme Revaud
  7. Suichan Li
  8. Valentin Khrulkov
  9. Jinxian Liu
  10. Jianlou Si

Papers from Weihua Chen's perspective

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

Their papers