Jonathan Horgan

Computer Vision and Pattern Recognition · 2015–2019

A researcher in the Science corpus: 3 papers; trusts 24 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Jonathan Horgan trusts overall

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

  1. Kaiming He
  2. Diederik P. Kingma
  3. Andreas Geiger
  4. Geoffrey E. Hinton
  5. Alex Krizhevsky
  6. Ross B. Girshick
  7. Takeo Kanade
  8. Yann LeCun
  9. Mohan Manubhai Trivedi
  10. Shaoqing Ren

Who trusts Jonathan Horgan overall

  1. Michal Uřičář
  2. Senthil Kumar Yogamani
  3. Yifang Ma

Papers from Jonathan Horgan's perspective

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

Their papers