Ming Lin

Computer Vision and Pattern Recognition · with Hauptmann · 2014

A researcher in the Science corpus: 1 paper; trusts 64 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Ming Lin trusts overall

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

  1. David G. Lowe
  2. Tony Lindeberg
  3. Karen Simonyan
  4. Trevor Darrell
  5. Brian Antonishek
  6. Xiaojiang Peng
  7. Ivan Laptev
  8. Andrew Zisserman
  9. Cordelia Schmid
  10. Geoffrey E. Hinton

Who trusts Ming Lin overall

  1. Mengyuan Liu
  2. Yu-Gang Jiang
  3. Katsunori Ohnishi
  4. Zuxuan Wu
  5. Amlan Kar
  6. César Roberto De Souza
  7. Eunbyung Park

Papers from Ming Lin's perspective

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

Their papers