Henrik Iskov Christensen

Computer Vision and Pattern Recognition · 2002–2011

A researcher in the Science corpus: 6 papers; trusts 129 researchers and is trusted by 17 researchers here, as inferred from the citation graph.

Subfields

Whom Henrik Iskov Christensen trusts overall

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

  1. David G. Lowe
  2. Laurent Itti
  3. Dana H. Ballard
  4. John F. Canny
  5. Tom Drummond
  6. Antonio Torralba
  7. Jeremy M. Wolfe
  8. Christof Koch
  9. Vidhya Navalpakkam
  10. Edward Rosten

Who trusts Henrik Iskov Christensen overall

  1. Douglas Morrison
  2. Sergey Levine
  3. Lei Tai
  4. Nathan D. Ratliff
  5. Peter Corke
  6. Andy Zeng
  7. Ashutosh Saxena
  8. É. Marchand
  9. Peter Pastor
  10. Jürgen Leitner

Papers from Henrik Iskov Christensen's perspective

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

Their papers