Liangzhe Yuan

Computer Vision and Pattern Recognition · 2018–2025

A researcher in the Science corpus: 4 papers; trusts 252 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Liangzhe Yuan trusts overall

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

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

Who trusts Liangzhe Yuan overall

  1. Henri Rebecq
  2. Daniel Gehrig
  3. Davide Scaramuzza
  4. Guillermo Gallego
  5. Etienne Perot
  6. Bo Wu
  7. Mathias Gehrig

Papers from Liangzhe Yuan's perspective

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

Their papers