Alexander Kläser

Computer Vision and Pattern Recognition · 2008–2013

A researcher in the Science corpus: 4 papers; trusts 523 researchers and is trusted by 4,317 researchers here, as inferred from the citation graph.

Subfields

Whom Alexander Kläser trusts overall

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

  1. Ivan Laptev
  2. David G. Lowe
  3. Navneet Dalal
  4. Cordelia Schmid
  5. Marcin Marszalek
  6. Svetlana Lazebnik
  7. Geoffrey E. Hinton
  8. Jianguo Zhang
  9. Alex Krizhevsky
  10. Kaiming He

Who trusts Alexander Kläser overall

  1. Limin Wang
  2. Hossein Rahmani
  3. Chen Sun
  4. Cordelia Schmid
  5. Yu Qiao
  6. Du Tran
  7. Yu Kong
  8. Philippe Weinzaepfel
  9. Yi Yang
  10. Yu-Gang Jiang

Papers from Alexander Kläser's perspective

Ordered by how strongly the researchers Alexander Kläser 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. ImageNet: A large-scale hierarchical image database
  5. Gradient-based learning applied to document recognition
  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. Going deeper with convolutions

Their papers