Paul Sturgess

Computer Vision and Pattern Recognition · 2010–2012

A researcher in the Science corpus: 2 papers; trusts 76 researchers and is trusted by 232 researchers here, as inferred from the citation graph.

Subfields

Whom Paul Sturgess trusts overall

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

  1. Yuri Boykov
  2. Jianguo Zhang
  3. Jamie Shotton
  4. Dorin Comaniciu
  5. Pedro F. Felzenszwalb
  6. Navneet Dalal
  7. Antonio Torralba
  8. John M. Winn
  9. Lubor Ladicky
  10. Geoffrey E. Hinton

Who trusts Paul Sturgess overall

  1. Anurag Arnab
  2. Joseph Tighe
  3. Sanja Fidler
  4. Raquel Urtasun
  5. Vijay Badrinarayanan
  6. João Carreira
  7. Philip H. S. Torr
  8. Abhinav Shrivastava
  9. Bharath Hariharan
  10. Hayko Riemenschneider

Papers from Paul Sturgess's perspective

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

Their papers