Christian Beecks

Computer Vision and Pattern Recognition · 2013

A researcher in the Science corpus: 1 paper; trusts 350 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom Christian Beecks trusts overall

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

  1. David G. Lowe
  2. Krystian Mikolajczyk
  3. Bernhard Schölkopf
  4. Cordelia Schmid
  5. Matthijs C. Dorst
  6. Michael I. Jordan
  7. Li Fei-Fei
  8. Geoffrey E. Hinton
  9. Gertjan J. Burghouts
  10. Arthur P. Dempster

Who trusts Christian Beecks overall

  1. Bilegsaikhan Naidan
  2. Leonid Boytsov
  3. Yury Malkov
  4. Eric Nyberg

Papers from Christian Beecks's perspective

Ordered by how strongly the researchers Christian Beecks 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. Long Short-Term Memory
  6. Gradient-based learning applied to document recognition
  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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers