Zikun Liu

Computer Vision and Pattern Recognition · 2016–2017

A researcher in the Science corpus: 2 papers; trusts 82 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

Whom Zikun Liu trusts overall

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

  1. Ross B. Girshick
  2. Alex Krizhevsky
  3. Junwei Han
  4. Kaiming He
  5. Geoffrey E. Hinton
  6. Gong Cheng
  7. Navneet Dalal
  8. Shaoqing Ren
  9. Ilya Sutskever
  10. Jiexiong Tang

Who trusts Zikun Liu overall

  1. Jian Ding
  2. Jiaming Han
  3. Jamyoung Koo
  4. Xue Yang
  5. Guisong Xia
  6. Urska Kanjir
  7. Xinhao Cai
  8. Ke Li
  9. Xingxing Xie
  10. Di Wang

Papers from Zikun Liu's perspective

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

Their papers