Kevin Köser

Computer Vision and Pattern Recognition · 2010–2013

A researcher in the Science corpus: 3 papers; trusts 29 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Kevin Köser trusts overall

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

  1. David G. Lowe
  2. Jana Kosecka
  3. Radford M. Neal
  4. Christopher Evans
  5. Andrew E. Johnson
  6. David Nistér
  7. Krystian Mikolajczyk
  8. Radu Bogdan Rusu
  9. Gaurav Pandey
  10. Rainer Kümmerle

Who trusts Kevin Köser overall

  1. Tobias Weyand

Papers from Kevin Köser's perspective

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

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

Their papers