Sheng Fang

Computer Vision and Pattern Recognition · 2021–2022

A researcher in the Science corpus: 2 papers; trusts 164 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Sheng Fang trusts overall

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

  1. Zhenwei Shi
  2. Kaiming He
  3. Geoffrey E. Hinton
  4. Alex Krizhevsky
  5. Karen Simonyan
  6. Ross B. Girshick
  7. Rodrigo Caye Daudt
  8. Yann LeCun
  9. Yoshua Bengio
  10. Diederik P. Kingma

Who trusts Sheng Fang overall

  1. Wele Gedara Chaminda Bandara
  2. Cui Zhang
  3. Hongruixuan Chen
  4. Sijie Zhao
  5. Vishal M. Patel
  6. Kaiyu Li
  7. Liejun Wang
  8. Jian Song

Papers from Sheng Fang's perspective

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

Their papers