Ryan Farrell

Computer Vision and Pattern Recognition · 2011–2018

A researcher in the Science corpus: 8 papers; trusts 998 researchers and is trusted by 1,578 researchers here, as inferred from the citation graph.

Subfields

Whom Ryan Farrell trusts overall

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

  1. Geoffrey E. Hinton
  2. Alex Krizhevsky
  3. Andrew Zisserman
  4. Lubomir D. Bourdev
  5. Kaiming He
  6. Ross B. Girshick
  7. Rob Fergus
  8. Jia Deng
  9. Andrea Vedaldi
  10. Pedro F. Felzenszwalb

Who trusts Ryan Farrell overall

  1. Ning Zhang
  2. Jia Deng
  3. Jonathan Krause
  4. Trevor Darrell
  5. Li Fei-Fei
  6. Yangqing Jia
  7. Steve Branson
  8. Efstratios Gavves
  9. Grant Van Horn
  10. Saining Xie

Papers from Ryan Farrell's perspective

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

Their papers