Jerry Liu

Computer Vision and Pattern Recognition · with Funkhouser · 2017

A researcher in the Science corpus: 1 paper; trusts 83 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Jerry Liu trusts overall

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

  1. Kaiming He
  2. Geoffrey E. Hinton
  3. Alex Krizhevsky
  4. Mehmet Ersin Yümer
  5. Thomas Joseph Cashman
  6. Diederik P. Kingma
  7. X. Zhang
  8. Evangelos Kalogerakis
  9. Niloy J. Mitra
  10. Ross B. Girshick

Who trusts Jerry Liu overall

  1. Rowan T. Hughes
  2. Jhony Kaesemodel Pontes
  3. Edward James Smith
  4. Liming Zhu
  5. Chen Kong

Papers from Jerry Liu's perspective

Ordered by how strongly the researchers Jerry 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. ImageNet: A large-scale hierarchical image database
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Gradient-based learning applied to document recognition
  7. Long Short-Term Memory
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers