Christoph Busch

Computer Vision and Pattern Recognition · 2010–2017

A researcher in the Science corpus: 6 papers; trusts 87 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

Whom Christoph Busch trusts overall

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

  1. Sébastien Marcel
  2. Javier Galbally
  3. Abdenour Hadid
  4. Geoffrey E. Hinton
  5. André Anjos
  6. John G. Daugman
  7. Jukka Määttä
  8. Anthony J. Bell
  9. Ivana Chingovska
  10. Ramachandra Raghavendra

Who trusts Christoph Busch overall

  1. Jing Zhang
  2. Anjith George
  3. Ramachandra Raghavendra
  4. Sébastien Marcel
  5. Dacheng Tao

Papers from Christoph Busch's perspective

Ordered by how strongly the researchers Christoph Busch 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. Gradient-based learning applied to document recognition
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Long Short-Term Memory
  7. ImageNet: A large-scale hierarchical image database
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Going deeper with convolutions
  10. Learning Multiple Layers of Features from Tiny Images

Their papers