Paul Smith

Aerospace Engineering · with Davison · 2003–2006

A researcher in the Science corpus: 2 papers; trusts 4 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

Whom Paul Smith trusts overall

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

  1. Andrew J. Davison
  2. Tom Drummond
  3. J. Weng
  4. David G. Lowe
  5. Roberto Cipolla
  6. Yuncai Liu
  7. Adrien Bartoli

Who trusts Paul Smith overall

  1. Michael Kaess
  2. Mohan Manubhai Trivedi
  3. Erik Murphy-Chutorian
  4. Georg S. W. Klein
  5. Joel C. McCall
  6. Luis Miguel Bergasa
  7. David William Murray
  8. Jesús Nuevo
  9. Alejandro Jaimes

Papers from Paul Smith's perspective

Ordered by how strongly the researchers Paul Smith trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Distinctive Image Features from Scale-Invariant Keypoints
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. ImageNet: A large-scale hierarchical image database
  4. ImageNet classification with deep convolutional neural networks
  5. Gradient-based learning applied to document recognition
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. Et al
  8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  9. Going deeper with convolutions
  10. Real-Time Visual Tracking of Complex Structures (IEEE Transactions on Pattern Analysis and Machine Intelligence)

Their papers