Li Cheng

Computer Vision and Pattern Recognition · 2013–2023

A researcher in the Science corpus: 8 papers; trusts 835 researchers and is trusted by 30 researchers here, as inferred from the citation graph.

Subfields

Whom Li Cheng trusts overall

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

  1. Ross B. Girshick
  2. Geoffrey E. Hinton
  3. Kaiming He
  4. Alex Krizhevsky
  5. Karen Simonyan
  6. Diederik P. Kingma
  7. Yoshua Bengio
  8. Martin Danelljan
  9. Andrew Zisserman
  10. Yann LeCun

Who trusts Li Cheng overall

  1. Markus Oberweger
  2. Xiao Sun
  3. Paul Wohlhart
  4. Yichen Wei
  5. Hanbyul Joo
  6. Franziska Mueller
  7. Vincent Lepetit
  8. Tomas Simon
  9. Adnane Boukhayma
  10. Shuang Liang

Papers from Li Cheng's perspective

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

Their papers