Jason Lin

Computer Vision and Pattern Recognition · 2014

A researcher in the Science corpus: 1 paper; trusts 256 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Jason Lin trusts overall

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

  1. Antonio Torralba
  2. Derek Hoiem
  3. Geoffrey E. Hinton
  4. Aude Oliva
  5. Alexei A. Efros
  6. David G. Lowe
  7. Varsha Hedau
  8. Ross B. Girshick
  9. Alex Krizhevsky
  10. Navneet Dalal

Who trusts Jason Lin overall

  1. Jitendra Malik

Papers from Jason Lin's perspective

Ordered by how strongly the researchers Jason 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. 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. Long Short-Term Memory
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Going deeper with convolutions
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers