Adrian Kaehler

Computer Vision and Pattern Recognition · 2006–2016

A researcher in the Science corpus: 3 papers; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Adrian Kaehler trusts overall

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

  1. Gunilla Borgefors
  2. David G. Lowe
  3. Geoffrey E. Hinton
  4. Gary R. Bradski
  5. Yann LeCun
  6. Radford M. Neal
  7. Paul A. Viola
  8. Zoran Zivkovic
  9. Dana H. Ballard
  10. Vladimir Naumovich Vapni

Who trusts Adrian Kaehler overall

  1. Radu Patrice Horaud
  2. Yijia He
  3. Miles E. Hansard
  4. José Manuel Álvarez
  5. Ji Zhao
  6. Clément Ménier

Papers from Adrian Kaehler's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Gradient-based learning applied to document recognition
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. ImageNet: A large-scale hierarchical image database
  6. Long Short-Term Memory
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Learning Multiple Layers of Features from Tiny Images

Their papers