Yufeng Cheng

Computer Vision and Pattern Recognition · with Chen · 2018

A researcher in the Science corpus: 1 paper; trusts 24 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Yufeng Cheng trusts overall

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

  1. Geoffrey E. Hinton
  2. David G. Lowe
  3. Yi Yang
  4. Yann LeCun
  5. Kaiming He
  6. Alex Krizhevsky
  7. Yoshua Bengio
  8. Matthew D. Zeiler
  9. Richard S. Sutton
  10. Ilya Sutskever

Papers from Yufeng Cheng's perspective

Ordered by how strongly the researchers Yufeng Cheng 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. Gradient-based learning applied to document recognition
  3. ImageNet classification with deep convolutional neural networks
  4. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  5. ImageNet: A large-scale hierarchical image database
  6. Adam: A Method for Stochastic Optimization (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. Distinctive Image Features from Scale-Invariant Keypoints

Their papers