Shengfeng He

Computer Vision and Pattern Recognition · IEEE Transactions on Image Processing · 2013–2019

A researcher in the Science corpus: 6 papers; trusts 871 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

Whom Shengfeng He trusts overall

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

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

Who trusts Shengfeng He overall

  1. Martin Danelljan
  2. Fahad Shahbaz Khan
  3. Gustav Häger
  4. Michael Felsberg
  5. Runmin Cong
  6. Deng-Ping Fan
  7. Jianming Zhang
  8. Yi Wu
  9. Zhong-Qiu Zhao
  10. Goutam Bhat

Papers from Shengfeng He's perspective

Ordered by how strongly the researchers Shengfeng He 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. Attention is All you Need (Neural Information Processing Systems)
  7. Long Short-Term Memory
  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