Henrik Stew´enius

Computer Vision and Pattern Recognition

A researcher in the Science corpus: 1 paper; trusts 29 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Henrik Stew´enius trusts overall

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

  1. David G. Lowe
  2. Josef Sivic
  3. Krystian Mikolajczyk
  4. David Nistér
  5. Cordelia Schmid
  6. Andrew Zisserman
  7. Herv'e J'egou
  8. Ondřej Chum
  9. Jiri Matas
  10. James Philbin

Papers from Henrik Stew´enius's perspective

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

Their papers