Jonathan Shih

Computer Vision and Pattern Recognition · 2010

A researcher in the Science corpus: 1 paper; trusts 39 researchers and is trusted by 498 researchers here, as inferred from the citation graph.

Subfields

Whom Jonathan Shih trusts overall

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

  1. Alexander C. Berg
  2. Jitendra Malik
  3. Thomas K. Leung
  4. Paul A. Viola
  5. Andrew Zisserman
  6. Rob Fergus

Who trusts Jonathan Shih overall

  1. Devi Parikh
  2. Genevieve Patterson
  3. C. Lawrence Zitnick
  4. Kristen Grauman
  5. Bolei Zhou
  6. Adriana Kovashka
  7. Grant Van Horn
  8. Aron Yu
  9. Rebecca Mason
  10. Larry Zitnick

Papers from Jonathan Shih's perspective

Ordered by how strongly the researchers Jonathan Shih 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. Gradient-based learning applied to document recognition
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. ImageNet Large Scale Visual Recognition Challenge
  7. Going deeper with convolutions
  8. Object Detection with Discriminatively Trained Part Based Models
  9. Attention is All you Need (Neural Information Processing Systems)
  10. Long Short-Term Memory

Their papers