Dan Martinec

Computer Vision and Pattern Recognition · 2003–2007

A researcher in the Science corpus: 2 papers; trusts 8 researchers and is trusted by 16 researchers here, as inferred from the citation graph.

Subfields

Whom Dan Martinec trusts overall

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

  1. David G. Lowe
  2. Matthew Brand
  3. Carlo Tomasi
  4. Krystian Mikolajczyk
  5. Takeo Kanade
  6. Andrew Zisserman
  7. Frederik Schaffalitzky
  8. Tinne Tuytelaars
  9. Cordelia Schmid
  10. David Nistér

Who trusts Dan Martinec overall

  1. Kyle Wilson
  2. Christopher Zach
  3. Noah Snavely
  4. David M. Rosen
  5. Richard I. Hartley
  6. Mica Arie-Nachimson
  7. Jerry Quispe
  8. Manfred Klopschitz
  9. Luca Carlone
  10. Jochen Trumpf

Papers from Dan Martinec's perspective

Ordered by how strongly the researchers Dan Martinec 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. ImageNet: A large-scale hierarchical image database
  5. ImageNet Large Scale Visual Recognition Challenge
  6. Gradient-based learning applied to document recognition
  7. Going deeper with convolutions
  8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  9. Long Short-Term Memory
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers