Yun-Fu Liu

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 1 paper; trusts 28 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Yun-Fu Liu trusts overall

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

  1. Robby T. Tan
  2. Diederik P. Kingma
  3. Kaiming He
  4. Christian Szegedy
  5. Yoshua Bengio
  6. Xavier Glorot
  7. Geoffrey E. Hinton
  8. Alex Krizhevsky
  9. Jimmy Ba
  10. X. Zhang

Who trusts Yun-Fu Liu overall

  1. Ozan Özdenizci
  2. Chris H. Bahnsen
  3. Jeya Maria Jose Valanarasu
  4. Ruoteng Li
  5. Robert A. Legenstein
  6. Rajeev Yasarla
  7. Robby T. Tan
  8. David Vázquez

Papers from Yun-Fu Liu's perspective

Ordered by how strongly the researchers Yun-Fu Liu 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. Gradient-based learning applied to document recognition
  5. Attention is All you Need (Neural Information Processing Systems)
  6. ImageNet: A large-scale hierarchical image database
  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. Learning Multiple Layers of Features from Tiny Images

Their papers