Peter F. Sturm

Computer Vision and Pattern Recognition · 2005–2010

A researcher in the Science corpus: 6 papers; trusts 49 researchers and is trusted by 17 researchers here, as inferred from the citation graph.

Subfields

Whom Peter F. Sturm trusts overall

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

  1. Richard I. Hartley
  2. Jana Kosecka
  3. Tom Minka
  4. Stanley J. Osher
  5. Anthony J. Yezzi Jr.
  6. David G. Lowe
  7. S. M. Seitz
  8. Richard Szeliski
  9. James Hays
  10. Daniel Scharstein

Who trusts Peter F. Sturm overall

  1. Ali O. Ulusoy
  2. Christian Häne
  3. Amaël Delaunoy
  4. Onur Özyesil
  5. Michael J. Black
  6. Andreas Geiger
  7. Shikun Liu
  8. Yasutaka Furukawa
  9. Nikolay Savinov
  10. Shubham Tulsiani

Papers from Peter F. Sturm's perspective

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

Their papers