Haijun Liu

Computer Vision and Pattern Recognition · with Cheng · 2018

A researcher in the Science corpus: 1 paper; trusts 87 researchers and is trusted by 13 researchers here, as inferred from the citation graph.

Subfields

Whom Haijun Liu trusts overall

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

  1. Alex Krizhevsky
  2. Weiyang Liu
  3. Geoffrey E. Hinton
  4. Yandong Wen
  5. Kaiming He

Who trusts Haijun Liu overall

  1. Weiyang Liu
  2. Jiankang Deng

Papers from Haijun Liu's perspective

Ordered by how strongly the researchers Haijun 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. Learning Multiple Layers of Features from Tiny Images
  4. Gradient-based learning applied to document recognition
  5. ImageNet: A large-scale hierarchical image database
  6. Going deeper with convolutions
  7. Distilling the Knowledge in a Neural Network (arXiv.org)
  8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers