Fang Wang

Computer Vision and Pattern Recognition · The Innovation · 2008–2023

A researcher in the Science corpus: 14 papers; trusts 210 researchers and is trusted by 101 researchers here, as inferred from the citation graph.

Subfields

Whom Fang Wang trusts overall

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

  1. Deva Ramanan
  2. Pedro F. Felzenszwalb
  3. Sam Johnson
  4. Navneet Dalal
  5. Mark Everingham
  6. Sanjay P. Bhat
  7. Lalit M. Patnaik
  8. Ross B. Girshick
  9. Yi Yang
  10. Alex Krizhevsky

Who trusts Fang Wang overall

  1. Xiao Chu
  2. Juergen Gall
  3. Wanli Ouyang
  4. Alexander Toshev
  5. Qian Yu
  6. Heng Yang
  7. Anjan Dutta
  8. Yi-Zhe Song
  9. Li Liu
  10. Xiaogang Wang

Papers from Fang Wang's perspective

Ordered by how strongly the researchers Fang Wang 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Long Short-Term Memory
  6. Gradient-based learning applied to document recognition
  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. ImageNet Large Scale Visual Recognition Challenge
  10. Going deeper with convolutions

Their papers