Michael Calonder

Computer Vision and Pattern Recognition · 2010–2012

A researcher in the Science corpus: 3 papers; trusts 100 researchers and is trusted by 184 researchers here, as inferred from the citation graph.

Subfields

Whom Michael Calonder trusts overall

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

  1. David G. Lowe
  2. Edward Rosten
  3. Vincent Lepetit
  4. Christopher Evans
  5. Krystian Mikolajczyk
  6. Ruslan Salakhutdinov
  7. Geoffrey E. Hinton
  8. Pascal Fua
  9. Mustafa Özuysal
  10. Tom Drummond

Who trusts Michael Calonder overall

  1. Friedrich Fraundorfer
  2. Winston Churchill
  3. Vassileios Balntas
  4. Marius Muja
  5. Jorge Fuentes-Pacheco
  6. Jiayi Ma
  7. Lingxi Xie
  8. Xingyu Jiang
  9. Guang Chen
  10. Mathieu Labbé

Papers from Michael Calonder's perspective

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

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. ImageNet classification with deep convolutional neural networks
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Gradient-based learning applied to document recognition
  5. ImageNet: A large-scale hierarchical image database
  6. Long Short-Term Memory
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Distinctive Image Features from Scale-Invariant Keypoints
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers