David Gallup

Computer Vision and Pattern Recognition · 2007–2016

A researcher in the Science corpus: 4 papers; trusts 32 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom David Gallup trusts overall

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

  1. Robert T. Collins
  2. Yuri Boykov
  3. David G. Lowe
  4. David Nistér
  5. Yasutaka Furukawa
  6. John P. Lewis
  7. Andrew Zisserman
  8. Marc Pollefeys
  9. Antonio Torralba
  10. Noah Snavely

Who trusts David Gallup overall

  1. Yasutaka Furukawa
  2. Xiaoyan Hu
  3. Ali O. Ulusoy
  4. Silvano Galliani
  5. Christian Häne
  6. Marc Pollefeys
  7. Carlos Hernández
  8. Philippos Mordohai
  9. Johannes L. Schönberger
  10. Przemyslaw Musialski

Papers from David Gallup's perspective

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

Their papers