Feng Liu

Computer Vision and Pattern Recognition · with Zhang · 2014

A researcher in the Science corpus: 1 paper; trusts 22 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Feng Liu trusts overall

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

  1. John F. Canny
  2. Matthijs C. Dorst
  3. Matthew A. Brown
  4. Patrick Pérez
  5. Lior Wolf
  6. David G. Lowe
  7. Aseem Agarwala
  8. Feng Liu
  9. Yu-Shuen Wang
  10. Vivek Kwatra

Who trusts Feng Liu overall

  1. Chung-Ching Lin

Papers from Feng Liu's perspective

Ordered by how strongly the researchers Feng Liu 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. Gradient-based learning applied to document recognition
  5. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  6. ImageNet: A large-scale hierarchical image database
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Long Short-Term Memory
  9. Learning Multiple Layers of Features from Tiny Images
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers