Jonathan H. Warrell

Computer Vision and Pattern Recognition · 2008–2013

A researcher in the Science corpus: 4 papers; trusts 297 researchers and is trusted by 10 researchers here, as inferred from the citation graph.

Subfields

Whom Jonathan H. Warrell trusts overall

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

  1. Pedro F. Felzenszwalb
  2. Andrew Zisserman
  3. Navneet Dalal
  4. Ross B. Girshick
  5. Jianguo Zhang
  6. Geoffrey E. Hinton
  7. Jitendra Malik
  8. Alex Krizhevsky
  9. Kaiming He
  10. Ali Borji

Who trusts Jonathan H. Warrell overall

  1. Shengfeng He
  2. Esa Rahtu
  3. Juho Kannala
  4. Ming-Ming Cheng
  5. Matthew B. Blaschko
  6. Houwen Peng
  7. Pekka Rantalankila
  8. Rynson W. H. Lau
  9. Huchuan Lu
  10. Xiaoyu Wang

Papers from Jonathan H. Warrell's perspective

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

Their papers