Hao Liu

Computer Vision and Pattern Recognition · with Zhang · 2016

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Hao Liu trusts

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

  1. Yi Yang (in Computer Vision and Pattern Recognition)
  2. Andrew Zisserman (in Computer Vision and Pattern Recognition)
  3. Antonio Torralba (in Computer Vision and Pattern Recognition)
  4. Shawn D. Newsam (in Computer Vision and Pattern Recognition)
  5. Svetlana Lazebnik (in Computer Vision and Pattern Recognition)
  6. Aude Oliva (in Computer Vision and Pattern Recognition)

Papers from Hao Liu's perspective

Ordered by how strongly the researchers Hao Liu trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Histograms of oriented gradients for human detection
  2. Modeling the Shape of the Scene: A Holistic Representation of the Spatial Envelope
  3. ImageNet classification with deep convolutional neural networks
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. Linear spatial pyramid matching using sparse coding for image classification
  6. Gradient-based learning applied to document recognition
  7. Long Short-Term Memory
  8. Going deeper with convolutions
  9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  10. Attention is All you Need (Neural Information Processing Systems)

Their papers