Hu Liu

Computer Vision and Pattern Recognition · with Cui · 2017–2019

A researcher in the Science corpus: 2 papers; trusts 233 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

Whom Hu Liu trusts overall

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

  1. Alex Graves
  2. Diederik P. Kingma
  3. Geoffrey E. Hinton
  4. J. Urgen Schmidhuber
  5. Ilya Sutskever
  6. Yoshua Bengio
  7. Alex Krizhevsky
  8. Sepp Hochreiter
  9. Christian Szegedy
  10. Kaiming He

Who trusts Hu Liu overall

  1. Hamid Reza Vaezi Joze
  2. Oscar Koller
  3. Necati Cihan Camgöz
  4. Hao Zhou
  5. Runpeng Cui
  6. Wen-gang Zhou
  7. Jie Huang

Papers from Hu Liu's perspective

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

Their papers