Stuart Robson

Computer Vision and Pattern Recognition · 2003–2013

A researcher in the Science corpus: 5 papers; trusts 18 researchers and is trusted by 17 researchers here, as inferred from the citation graph.

Subfields

Whom Stuart Robson trusts overall

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

  1. Yasutaka Furukawa
  2. David G. Lowe
  3. S. M. Seitz
  4. Shimon Ullman
  5. Geert J. Verhoeven
  6. Noah Snavely
  7. Matthew A. Brown
  8. Jean Ponce
  9. Brian Curless
  10. Richard Szeliski

Who trusts Stuart Robson overall

  1. Carlos Henrique Grohmann
  2. Mark W. Smith
  3. Jonathan P. Dandois
  4. Darren Turner
  5. Jordan Miller
  6. Ramón Alberto Díaz-Varela
  7. Martin Mokros

Papers from Stuart Robson's perspective

Ordered by how strongly the researchers Stuart Robson 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 classification with deep convolutional neural networks
  4. Long Short-Term Memory
  5. Gradient-based learning applied to document recognition
  6. ImageNet Large Scale Visual Recognition Challenge
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  9. Going deeper with convolutions
  10. ImageNet: A large-scale hierarchical image database

Their papers