Haifeng Liu

Computer Vision and Pattern Recognition · AAAI Conference on Artificial Intelligence · 2012–2020

A researcher in the Science corpus: 6 papers; trusts 489 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Haifeng Liu trusts overall

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

  1. Chih-Jen Lin
  2. Kaiming He
  3. David G. Lowe
  4. Alex Krizhevsky
  5. Geoffrey E. Hinton
  6. Yann LeCun
  7. Ross B. Girshick
  8. Yoshua Bengio
  9. Karen Simonyan
  10. Andrew Zisserman

Who trusts Haifeng Liu overall

  1. George Trigeorgis
  2. David W. Romero
  3. Shangbang Long
  4. Youngmin Baek
  5. Konstantinos Bousmalis

Papers from Haifeng Liu's perspective

Ordered by how strongly the researchers Haifeng 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. Long Short-Term Memory
  6. ImageNet: A large-scale hierarchical image database
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Going deeper with convolutions
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers