Fredrik Kahl

Computer Vision and Pattern Recognition · 2005–2021

A researcher in the Science corpus: 4 papers; trusts 58 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Fredrik Kahl trusts

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

  1. Andrew Zisserman (in Computer Vision and Pattern Recognition)
  2. David G. Lowe (in Computer Vision and Pattern Recognition)
  3. Josef Sivic (in Computer Vision and Pattern Recognition)
  4. Karen Simonyan (in Computer Vision and Pattern Recognition)
  5. Cordelia Schmid (in Computer Vision and Pattern Recognition)
  6. Ross B. Girshick (in Computer Vision and Pattern Recognition)
  7. Kaiming He (in Computer Vision and Pattern Recognition)
  8. Jitendra Malik (in Computer Vision and Pattern Recognition)
  9. Andrea Vedaldi (in Computer Vision and Pattern Recognition)
  10. Alex Krizhevsky (in Computer Vision and Pattern Recognition)

Papers from Fredrik Kahl's perspective

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

  1. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  2. Distinctive Image Features from Scale-Invariant Keypoints
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Video Google: a text retrieval approach to object matching in videos
  5. ImageNet classification with deep convolutional neural networks
  6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  7. Aggregating local descriptors into a compact image representation
  8. Object retrieval with large vocabularies and fast spatial matching
  9. ImageNet: A large-scale hierarchical image database
  10. Gradient-based learning applied to document recognition

Their papers