Jufeng Yang

Computer Vision and Pattern Recognition · IEEE International Conference on Computer Vision · 2018–2020

A researcher in the Science corpus: 5 papers; trusts 861 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Jufeng Yang trusts overall

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

  1. Alex Krizhevsky
  2. Geoffrey E. Hinton
  3. David G. Lowe
  4. Kaiming He
  5. Karen Simonyan
  6. Andrew Zisserman
  7. Ross B. Girshick
  8. Ilya Sutskever
  9. Yoshua Bengio
  10. Diederik P. Kingma

Who trusts Jufeng Yang overall

  1. Deng-Ping Fan
  2. Xiu-Shen Wei

Papers from Jufeng Yang's perspective

Ordered by how strongly the researchers Jufeng Yang 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  7. Long Short-Term Memory
  8. Attention is All you Need (Neural Information Processing Systems)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Going deeper with convolutions

Their papers