Fang Wan

Computer Vision and Pattern Recognition · with Ye · 2018–2021

A researcher in the Science corpus: 6 papers; trusts 804 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

Whom Fang Wan trusts overall

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

  1. Ross B. Girshick
  2. Kaiming He
  3. Alex Krizhevsky
  4. Karen Simonyan
  5. Geoffrey E. Hinton
  6. Andrew Zisserman
  7. Ilya Sutskever
  8. Yoshua Bengio
  9. Yann LeCun
  10. Jia Deng

Who trusts Fang Wan overall

  1. Lun Huang
  2. Xingyi Zhou
  3. Wentong Li
  4. L. Jiao
  5. Xiaosong Zhang
  6. Zeyi Huang
  7. Wenmin Wang
  8. Qixiang Ye
  9. Chang Liu
  10. Yanzhao Zhou

Papers from Fang Wan's perspective

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

Their papers