Hanhe Lin

Computer Vision and Pattern Recognition · 2017–2019

A researcher in the Science corpus: 3 papers; trusts 126 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

Whom Hanhe Lin trusts overall

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

  1. A. Bovik
  2. Christian Szegedy
  3. Anush K. Moorthy
  4. Kaiming He
  5. Zhi-Hua Zhou
  6. Zhou Wang
  7. Geoffrey E. Hinton
  8. Diederik P. Kingma
  9. Sergey Ioffe
  10. Karen Simonyan

Who trusts Hanhe Lin overall

  1. Weixia Zhang
  2. S. Alireza Golestaneh
  3. Chaofeng Chen
  4. Kede Ma
  5. Haoning Wu
  6. Keyan Ding
  7. Hancheng Zhu
  8. Saba Dadsetan
  9. Sidi Yang
  10. Stephanie Fu

Papers from Hanhe Lin's perspective

Ordered by how strongly the researchers Hanhe Lin 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Gradient-based learning applied to document recognition
  8. Long Short-Term Memory
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Learning Multiple Layers of Features from Tiny Images

Their papers